diff --git a/bench/groupby_shapes/grouping_scaling.py b/bench/groupby_shapes/grouping_scaling.py
new file mode 100644
index 00000000..abd35454
--- /dev/null
+++ b/bench/groupby_shapes/grouping_scaling.py
@@ -0,0 +1,230 @@
+#!/usr/bin/env python3
+"""Portable grouping-family scaling matrix, with typed baseline comparisons."""
+import argparse
+import csv
+import hashlib
+import json
+import os
+from pathlib import Path
+import re
+import shutil
+import statistics
+import subprocess
+import tempfile
+
+from scaling_common import compare_csv, profile_phases
+
+# (preparation, select fields, keys, optional selection)
+CASES = {}
+for kind in ("BOOL", "U8", "I16", "I32", "I64", "F32", "F64", "TIME"):
+    source = "(> v 0)" if kind == "BOOL" else "(as 'U8 (+ v 50))" if kind == "U8" else f"(as '{kind} v)"
+    # F32 conversion is admitted by the expression materializer.
+    prep = f"(set t (select {{from:t i:i k:k j:j v:{source} f:f w:w}}))"
+    CASES[f"sum-{kind.lower()}"] = (prep, "s:(sum v)", "k", "")
+    CASES[f"extrema-{kind.lower()}"] = (prep, "s:(min v) hi:(max v)", "k", "")
+CASES.update({
+    "count": ("", "s:(count v)", "k", ""),
+    "statistics": ("", "s:(avg f) v:(var f) sd:(stddev f)", "k", ""),
+    "binary": ("", "s:(wsum f w) a:(wavg f w) p:(pearson_corr f w) c:(cov f w)", "k", ""),
+    "truth": ("", "s:(all v) a:(any v)", "k", ""),
+    "product": ("(set t (update {from:t v:(+ (% i 2) -1)}))", "s:(prod v)", "k", ""),
+    "median": ("", "s:(med v)", "k", ""),
+    "quantile": ("", "s:(quantile v 0.25)", "k", ""),
+    "mode": ("", "s:(mode v)", "k", ""),
+    "top-bottom": ("", "s:(top v 3) b:(bot v 3)", "k", ""),
+    "first-last": ("", "s:(first v) z:(last v)", "k", ""),
+    "mixed": ("", "s:(sum v) m:(med v) a:(avg f)", "k", ""),
+    "distinct": ("", "s:(count (distinct v))", "k", ""),
+    "composite": ("", "s:(sum v) m:(min v)", "[k j]", ""),
+    "selected": ("", "s:(sum v) m:(min v)", "k", "where:(> v 25)"),
+    "selected-indexed": ("", "s:(sum v) m:(med v)", "[k j]", "where:(> v 25)"),
+    "sparse": ("(set t (select {from:t i:i k:(* (as 'I64 k) 1000000007) j:j v:v f:f w:w}))", "s:(sum v)", "k", ""),
+    "clustered": ("(set t (update {from:t k:(as 'I32 (/ i 8))}))", "s:(sum v)", "k", ""),
+    "skew": ("(set t (update {from:t k:(as 'I32 0N) where:(< (% i 10) 4)}))", "s:(sum v)", "k", ""),
+    "skew-indexed": ("(set t (update {from:t k:(as 'I32 0N) where:(< (% i 10) 4)}))", "s:(sum v) m:(med v)", "k", ""),
+    "float-key": ("(set t (select {from:t i:i k:(as 'F64 k) j:j v:v f:f w:w}))", "s:(sum v)", "k", ""),
+    "float-indexed": ("(set t (select {from:t i:i k:(as 'F64 k) j:j v:v f:f w:w}))", "s:(sum v) m:(med v)", "k", ""),
+    "symbol-key": ("(set t (table [i k j v f w] (list i (at ['a 'b 'c 'd] (% i 4)) (at t 'j) (at t 'v) (at t 'f) (at t 'w))))", "s:(sum v)", "k", ""),
+    "string-key": ('(set t (table [i k j v f w] (list i (at ["pooled long alpha value" "beta" "gamma" "delta"] (% i 4)) (at t \'j) (at t \'v) (at t \'f) (at t \'w))))', "s:(sum v)", "k", ""),
+    "string-indexed": ('(set t (table [i k j v f w] (list i (at ["pooled long alpha value" "beta" "gamma" "delta"] (% i 4)) (at t \'j) (at t \'v) (at t \'f) (at t \'w))))', "s:(sum v) m:(med v)", "k", ""),
+    "wide-extrema": ('(set t (table [i k j v f w text] (list i (at t \'k) (at t \'j) (at t \'v) (at t \'f) (at t \'w) (at ["pooled long alpha value" "beta" "gamma" "delta"] (% i 4)))))', "s:(min text) z:(max text)", "k", ""),
+})
+for kind in ("DATE", "TIMESTAMP"):
+    CASES[f"extrema-{kind.lower()}"] = (
+        f"(set t (select {{from:t i:i k:k j:j v:(as '{kind} v) f:f w:w}}))",
+        "s:(min v) hi:(max v)", "k", "")
+for name, fields in (("wide-mode", "s:(mode text)"),
+                     ("wide-top-bottom", "s:(top text 3) b:(bot text 3)")):
+    CASES[name] = (CASES["wide-extrema"][0], fields, "k", "")
+for name, value in (("extrema-ascending", "i"), ("extrema-descending", "(- 0 i)")):
+    CASES[name] = (f"(set t (select {{from:t i:i k:k j:j v:(as 'I32 {value}) f:f w:w}}))",
+                   "s:(min v) hi:(max v)", "k", "")
+
+CASES["few-groups-indexed"] = (
+    "(set t (update {from:t k:(as 'I32 (% i 7))}))",
+    "n:(count v) f:(first v) l:(last v)", "k", "")
+
+CASES["hot-top-ascending"] = (
+    "(set t (select {from:t i:i k:(as 'I32 (* i 0)) j:j v:i f:f w:w}))",
+    "s:(top v 3) b:(bot v 3)", "k", "")
+
+CASES["guid-key"] = (
+    "(set g (as 'GUID (list \"00000000-0000-0000-0000-000000000001\" \"00000000-0000-0000-0000-000000000002\" \"00000000-0000-0000-0000-000000000003\" \"\")))\n"
+    "(set t (table [i k j v f w] (list i (at g (% i 4)) (at t 'j) (at t 'v) (at t 'f) (at t 'w))))",
+    "s:(sum v) m:(med v)", "k", "")
+CASES["list-key"] = (
+    "(set g (list [1 2] [3 4] ['a 'b] [\"pooled list string\" \"x\"]))\n"
+    "(set t (table [i k j v f w] (list i (at g (% i 4)) (at t 'j) (at t 'v) (at t 'f) (at t 'w))))",
+    "s:(sum v) m:(med v)", "k", "")
+CASES["unique-keys"] = ("(set t (update {from:t k:(as 'I32 i)}))", "s:(sum v)", "k", "")
+CASES["nonnull"] = ("(set t (update {from:t v:(- (% i 101) 50)}))", "s:(sum v) a:(avg v)", "k", "")
+
+for direction, value in (("ascending", "i"), ("descending", "(- 0 i)")):
+    CASES[f"hot-min-{direction}"] = (
+        f"(set t (select {{from:t i:i k:k j:j v:(as 'I32 {value}) f:f w:w}}))\n"
+        "(set t (update {from:t k:(as 'I32 0) where:(== (% i 2) 0)}))",
+        "s:(min v)", "k", "")
+CASES["all-null-key"] = ("(set t (update {from:t k:(as 'I32 0N)}))", "s:(sum v) a:(avg v)", "k", "")
+
+CASES["distinct-skew"] = (
+    "(set t (update {from:t k:(as 'I32 0N) v:0 where:(< (% i 10) 4)}))",
+    "s:(count (distinct v))", "k", "")
+CASES["distinct-correlated"] = ("", "s:(count (distinct k))", "k", "")
+CASES["symbol-extrema"] = (CASES["wide-extrema"][0].replace('["pooled long alpha value" "beta" "gamma" "delta"]', "['alpha 'beta 'gamma 'delta]"), "s:(min text) z:(max text)", "k", "")
+CASES["symbol-top-bottom"] = (CASES["symbol-extrema"][0], "s:(top text 3) z:(bot text 3)", "k", "")
+CASES["distinct-string-values"] = (CASES["wide-extrema"][0], "s:(count (distinct text))", "k", "")
+for kind in ("string", "guid", "list"):
+    CASES[f"distinct-{kind}-keys"] = (CASES[f"{kind}-key"][0], "s:(count (distinct v))", "k", "")
+    CASES[f"mixed-distinct-{kind}-keys"] = (
+        CASES[f"{kind}-key"][0], "s:(count (distinct v)) total:(sum v)", "k", "")
+CASES["mixed-distinct-string-values"] = (
+    CASES["wide-extrema"][0], "s:(count (distinct text)) total:(sum v)", "k", "")
+
+# A single large group must share work across workers too.
+for family in ("first-last", "symbol-extrema", "wide-extrema", "mode",
+               "wide-mode", "top-bottom", "wide-top-bottom", "symbol-top-bottom"):
+    prep, fields, keys, selection = CASES[family]
+    prep += "\n(set t (update {from:t k:(as 'I32 0)}))"
+    if family == "first-last":
+        prep += "\n(set t (update {from:t v:0N}))"
+    CASES[f"hot-{family}"] = (prep, fields, keys, selection)
+
+CASES["hot-max-k"] = ("(set t (update {from:t k:(as 'I32 0)}))",
+    "s:(top v 1024) b:(bot v 1024)", "k", "")
+
+
+def main():
+    ap = argparse.ArgumentParser(description=__doc__)
+    ap.add_argument("--binary", type=Path, required=True)
+    ap.add_argument("--baseline", type=Path)
+    ap.add_argument("--baseline-skip-cases", default="",
+                    help="cases with a recorded baseline failure; current results still checked across workers")
+    ap.add_argument("--workers", default="1,2,4,8,16,default")
+    ap.add_argument("--rounds", type=int, default=3)
+    ap.add_argument("--rows", type=int, default=1000000)
+    ap.add_argument("--cases", default=",".join(CASES))
+    ap.add_argument("--profile", action="store_true")
+    ap.add_argument("--stop-file", type=Path, help="stop between processes when this file exists")
+    ap.add_argument("--output", type=Path, required=True)
+    args = ap.parse_args()
+    cases, workers = args.cases.split(","), args.workers.split(",")
+    baseline_skip = set(filter(None, args.baseline_skip_cases.split(",")))
+    if any(c not in CASES for c in cases) or args.rounds < 1 or args.rows < 1:
+        ap.error("invalid cases, rounds or rows")
+    if any(w != "default" and (not w.isdecimal() or int(w) < 1) for w in workers):
+        ap.error("worker counts must be positive or default")
+    binaries = [("current", args.binary.resolve())]
+    if args.baseline:
+        binaries.insert(0, ("baseline", args.baseline.resolve()))
+    hashes = {name: hashlib.sha256(binary.read_bytes()).hexdigest() for name, binary in binaries}
+    env = os.environ.copy()
+    env.pop("RAYFORCE_CORES", None)
+    log_dir = args.output.with_suffix(".runs")
+    log_dir.mkdir(parents=True, exist_ok=True)
+    if baseline_skip - CASES.keys():
+        ap.error("unknown baseline skip case")
+    matrix = [(case, worker, name, binary) for case in cases for worker in workers for name, binary in binaries
+              if not (name == "baseline" and case in baseline_skip)]
+    records = []
+    with tempfile.TemporaryDirectory(prefix="rayforce-grouping-") as temp:
+        directory = Path(temp)
+        script, result, schema, rss, input_schema = (directory / f for f in ("query.rfl", "result.csv", "schema.csv", "rss", "input-schema.csv"))
+        warm_result, warm_schema = directory / "warm-result.csv", directory / "warm-schema.csv"
+        references = set()
+        for round_number in range(1, args.rounds + 1):
+            for case, worker, name, binary in matrix if round_number % 2 else reversed(matrix):
+                if args.stop_file and args.stop_file.exists():
+                    print(f"Stopped between processes; {len(records)} verified runs retained in {args.output}")
+                    return
+                prep, fields, keys, selection = CASES[case]
+                key_list = "['k 'j]" if keys == "[k j]" else "['k]"
+                query = f"(select {{from:t by:{keys} {fields} {selection}}})"
+                setup = f"""(set i (til {args.rows}))
+(set v (- (% i 101) 50))
+(set t (table [i k j v f w] (list i (as 'I32 (% (* i 17) 65536)) (as 'I32 (% i 7)) v (as 'F64 v) (as 'F64 (+ (% i 31) 1)))))
+(set t (update {{from:t v:0N where:(== (% i 97) 0)}}))
+{prep}
+"""
+                text = setup + f"(println (count t))\n(println (timeit (set r {query})))\n(println (count r))\n"
+                text += (f"(println (timeit {query}))\n" * 5)
+                text += f"(set ordered (xasc r {key_list}))\n(.csv.write ordered {json.dumps(str(result))})\n"
+                # Untimed re-execution checks that warming does not change results.
+                text += f"(set warm_ordered (xasc {query} {key_list}))\n(.csv.write warm_ordered {json.dumps(str(warm_result))})\n"
+                text += "(.csv.write (table [column kind] (list (key warm_ordered) (map (fn [c] (at (meta (at warm_ordered c)) 'type)) (key warm_ordered)))) " + json.dumps(str(warm_schema)) + ")\n"
+                text += "(.csv.write (table [column kind] (list (key ordered) (map (fn [c] (at (meta (at ordered c)) 'type)) (key ordered)))) " + json.dumps(str(schema)) + ")\n"
+                text += "(.csv.write (table [column kind] (list (key t) (map (fn [c] (at (meta (at t c)) 'type)) (key t)))) " + json.dumps(str(input_schema)) + ")\n"
+                script.write_text(text)
+                for p in (result, schema, warm_result, warm_schema, input_schema, rss):
+                    p.unlink(missing_ok=True)
+                command = ["/usr/bin/time", "-f", "%M", "-o", str(rss), str(binary), str(script)]
+                if worker != "default":
+                    command += ["-c", worker]
+                if args.profile:
+                    command += ["-t", "1"]
+                run = subprocess.run(command, env=env, capture_output=True, text=True)
+                (log_dir / f"{case}-{worker}-{name}-{round_number}.log").write_text(run.stdout + run.stderr)
+                if run.returncode:
+                    raise RuntimeError(f"{case} failed: {run.stdout}\n{run.stderr}")
+                values = [float(line) for line in run.stdout.splitlines() if re.fullmatch(r"[0-9]+(?:\.[0-9]+)?", line.strip())]
+                if len(values) < 8 or not all(p.is_file() for p in (result, schema, warm_result, warm_schema, input_schema)):
+                    raise RuntimeError(f"Incomplete {case}: {run.stdout}\n{run.stderr}")
+                reference, ref_schema = directory / f"{case}.csv", directory / f"{case}-schema.csv"
+                if case not in references:
+                    shutil.copyfile(result, reference)
+                    shutil.copyfile(schema, ref_schema)
+                    references.add(case)
+                if schema.read_bytes() != warm_schema.read_bytes():
+                    raise RuntimeError(f"Cold/warm result types differ for {case}")
+                compare_csv(result, warm_result, schema, key_names=("k", "j"))
+                if schema.read_bytes() != ref_schema.read_bytes():
+                    raise RuntimeError(f"Result types differ for {case}")
+                try:
+                    compare_csv(reference, result, schema, key_names=("k", "j"))
+                except RuntimeError:
+                    shutil.copyfile(reference, log_dir / "mismatch-reference.csv")
+                    shutil.copyfile(result, log_dir / "mismatch-current.csv")
+                    shutil.copyfile(schema, log_dir / "mismatch-schema.csv")
+                    raise
+                with input_schema.open(newline="") as stream:
+                    input_types = {r["column"]: r["kind"] for r in csv.DictReader(stream)}
+                if case.startswith("string-") and input_types["k"] != "STR":
+                    raise RuntimeError("String fixture did not produce STR keys")
+                if case == "symbol-key" and input_types["k"] != "SYM":
+                    raise RuntimeError("Symbol fixture did not produce SYM keys")
+                if case in ("guid-key", "list-key") and input_types["k"] != case.split("-")[0].upper():
+                    raise RuntimeError("Wide key fixture has wrong input type")
+                if case in ("symbol-extrema", "symbol-top-bottom") and input_types["text"] != "SYM":
+                    raise RuntimeError("Symbol fixture did not produce SYM values")
+                if case.startswith("wide-") and input_types["text"] != "STR":
+                    raise RuntimeError("Wide fixture did not produce STR values")
+                records.append(dict(input_types=input_types, phases=profile_phases(run.stdout + run.stderr),
+                                    case=case, workers=worker, binary=name, path=str(binary), sha256=hashes[name], round=round_number,
+                                    rows=int(values[0]), groups=int(values[2]), cold_ms=values[1], warm_ms=values[3:8],
+                                    peak_rss_kib=int(rss.read_text()), result_sha256=hashlib.sha256(result.read_bytes()).hexdigest()))
+                args.output.write_text(json.dumps(records, indent=2) + "\n")
+                print(f"{case} {name} workers={worker} round={round_number}: cold={values[1]:.3f}, warm={statistics.median(values[3:8]):.3f} ms", flush=True)
+    print(f"Verified typed results for all {len(records)} runs.")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/bench/groupby_shapes/nullable_time.rfl b/bench/groupby_shapes/nullable_time.rfl
new file mode 100644
index 00000000..21c4d7ea
--- /dev/null
+++ b/bench/groupby_shapes/nullable_time.rfl
@@ -0,0 +1,8 @@
+;; Synthetic nullable I32 keys with TIME values.
+(set n 16000000)
+(set group_count 1000000)
+(set i (til n))
+(set g (% (* i 17) group_count))
+(set t (table [k tm] (list (as 'I32 (+ (* g 2) (div g 4))) (as 'TIME (% (* i 13) 86400000)))))
+(set t (update {from:t k:(as 'I32 0N) where:(== k 0)}))
+(map (fn [_] (println (timeit (select {from:t by:k s:(min tm)})))) (til 8))
diff --git a/bench/groupby_shapes/results/2026-09-15/baseline-failures.txt b/bench/groupby_shapes/results/2026-09-15/baseline-failures.txt
new file mode 100644
index 00000000..e28d562d
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-15/baseline-failures.txt
@@ -0,0 +1,24 @@
+Baseline failures reproduced on bb81e621
+
+Use the baseline binary identified in environment.json:
+python3 bench/groupby_shapes/grouping_scaling.py --binary /path/to/baseline --workers 1 --rounds 1 --cases CASE --output /tmp/CASE.json
+
+distinct-string-values:
+=== rayforce fatal SIGSEGV at fault addr 0x0000000000000008 ===
+
+mixed-distinct-string-values:
+=== rayforce fatal SIGSEGV at fault addr 0x0000000000000000 ===
+
+distinct-list-keys:
+error: type: vec_new: type must be a positive concrete vector type, got LIST
+
+mixed-distinct-list-keys:
+error: type: vec_new: type must be a positive concrete vector type, got LIST
+
+Direct indexed top/bottom-K kernel, nullable I64, K at group size:
+Build topk_consumer.c against the baseline static library, then run:
+RAYFORCE_CORES=1 /path/to/baseline-topk-consumer 10000 10000
+Result: top/bottom K differs from histogram oracle
+The native serial heap was not heapified when nulls left fewer than K values.
+No baseline speedup is reported for this failing shape; candidate worker runs
+are checked against the histogram oracle.
diff --git a/bench/groupby_shapes/results/2026-09-15/environment.json b/bench/groupby_shapes/results/2026-09-15/environment.json
new file mode 100644
index 00000000..8117d7cd
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-15/environment.json
@@ -0,0 +1,77 @@
+{
+  "kernel": "Linux-6.17.9-76061709-generic-x86_64-with-glibc2.35",
+  "cpu": {
+    "Architecture": "x86_64",
+    "CPU(s)": "28",
+    "On-line CPU(s) list": "0-27",
+    "Model name": "Intel(R) Core(TM) i7-14700",
+    "Thread(s) per core": "2",
+    "Core(s) per socket": "20",
+    "Socket(s)": "1",
+    "L2 cache": "28 MiB (11 instances)",
+    "L3 cache": "33 MiB (1 instance)"
+  },
+  "compiler": "cc (Ubuntu 11.4.0-1ubuntu1~22.04.3) 11.4.0",
+  "workers": [
+    "1",
+    "2",
+    "4",
+    "8",
+    "16",
+    "default"
+  ],
+  "fresh_processes_per_case": 3,
+  "warm_executions_per_process": 5,
+  "baseline_revision": "bb81e6215321a7cf2cdd83d7223d62909804dee8",
+  "governor": "powersave",
+  "scaling_driver": "intel_pstate",
+  "candidate_revision": "f61a4eda",
+  "baseline_sha256": "f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e",
+  "candidate_sha256": "1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353",
+  "build_flags": "-O3 -march=native -funroll-loops -fomit-frame-pointer -fno-math-errno -falign-functions=64 -fassociative-math -ffp-contract=fast -fno-signed-zeros -fno-trapping-math",
+  "physical_memory_kib": 65633828,
+  "allowed_cpus": [
+    0,
+    1,
+    2,
+    3,
+    4,
+    5,
+    6,
+    7,
+    8,
+    9,
+    10,
+    11,
+    12,
+    13,
+    14,
+    15,
+    16,
+    17,
+    18,
+    19,
+    20,
+    21,
+    22,
+    23,
+    24,
+    25,
+    26,
+    27
+  ],
+  "kernel_baseline_sha256": "e174e083c2a474b6da59888401b742d784df685db28d8a0c63bf9e4ad424fe73",
+  "kernel_candidate_sha256": "96944ec28f56bdc442fbfc86b9578e9d553d97122976d3a2db6512fac1447825",
+  "acceptance_status": "complete",
+  "sanitizer_tests": "3828/3828",
+  "thread_sanitizer_tests": "24/24",
+  "kernel_oracle_runs": 90,
+  "thread_sanitizer_command": "RAYFORCE_CORES=3 setarch x86_64 -R ./rayforce.test.tsan -f agg_contract",
+  "synthetic_acceptance_status": "complete",
+  "synthetic_query_runs": 2700,
+  "synthetic_cases": 77,
+  "profile_runs": 68,
+  "integration_base_revision": "cb6b0371",
+  "kernel_candidate_revision": "f61a4eda",
+  "regression_repeat_runs": 130
+}
diff --git a/bench/groupby_shapes/results/2026-09-15/grouping.csv b/bench/groupby_shapes/results/2026-09-15/grouping.csv
new file mode 100644
index 00000000..f6882ab1
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-15/grouping.csv
@@ -0,0 +1,901 @@
+case,workers,binary,processes,cold_median_ms,cold_min_ms,cold_max_ms,warm_median_ms,warm_min_ms,warm_max_ms,peak_rss_kib
+sum-bool,1,baseline,3,2.85115,2.84029,2.85819,2.70623,2.69803,2.71166,71188
+sum-bool,1,current,3,1.86115,1.83958,1.92035,1.6701,1.66011,1.67891,71228
+sum-bool,2,baseline,3,2.02529,1.98643,2.19218,1.81046,1.72391,1.85568,95924
+sum-bool,2,current,3,1.22503,1.22261,1.24141,1.11588,1.11582,1.12262,81812
+sum-bool,4,baseline,3,1.45689,1.41542,2.11658,1.44454,1.44421,1.83434,126948
+sum-bool,4,current,3,1.56088,0.82576,1.63984,0.753534,0.734525,1.45734,102124
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+hot-top-bottom,default,current,3,3.75484,3.5996,3.8492,0.613136,0.60594,1.2043,364796
+hot-wide-top-bottom,1,baseline,3,20.3768,19.9263,20.7506,19.4183,18.8677,19.8942,118412
+hot-wide-top-bottom,1,current,3,19.7617,19.5688,20.0408,18.7577,18.6464,19.0285,118480
+hot-wide-top-bottom,2,baseline,3,20.5804,20.1195,21.1308,19.4103,19.2686,19.4594,128692
+hot-wide-top-bottom,2,current,3,13.485,13.3409,14.4274,12.6374,12.527,12.6936,128908
+hot-wide-top-bottom,4,baseline,3,20.3871,19.6826,21.1044,18.9803,18.9387,19.8146,149428
+hot-wide-top-bottom,4,current,3,6.7387,6.50707,7.51752,6.61764,6.57188,6.78126,133096
+hot-wide-top-bottom,8,baseline,3,20.4273,20.3459,20.688,19.1342,19.0817,19.5835,190512
+hot-wide-top-bottom,8,current,3,4.38395,3.66835,4.50249,4.06755,4.05583,4.20675,173916
+hot-wide-top-bottom,16,baseline,3,20.6313,20.22,20.9398,19.5523,18.8556,19.8103,272500
+hot-wide-top-bottom,16,current,3,2.83021,2.56538,2.90661,2.42207,2.23039,2.47724,256092
+hot-wide-top-bottom,default,baseline,3,20.1625,19.6909,20.1953,19.0481,18.9574,19.1067,395544
+hot-wide-top-bottom,default,current,3,2.21912,2.08679,2.43237,1.95261,1.90556,1.95512,379356
+hot-symbol-top-bottom,1,baseline,3,35.5297,35.2429,35.7998,35.4424,34.6725,35.769,97488
+hot-symbol-top-bottom,1,current,3,34.1941,34.0463,36.6947,33.9562,33.8775,36.2639,97980
+hot-symbol-top-bottom,2,baseline,3,36.1349,35.5935,36.6034,34.9645,34.9613,35.7782,108208
+hot-symbol-top-bottom,2,current,3,21.5157,21.0883,21.6777,20.9576,20.5566,21.075,108440
+hot-symbol-top-bottom,4,baseline,3,35.9773,35.2368,36.6876,35.0072,34.3895,35.7326,129008
+hot-symbol-top-bottom,4,current,3,10.7044,10.5359,13.3514,10.8506,10.695,10.8565,120836
+hot-symbol-top-bottom,8,baseline,3,36.2894,35.9618,36.5853,35.6767,34.8364,36.3268,170056
+hot-symbol-top-bottom,8,current,3,6.48601,6.46817,6.89955,6.29204,6.07112,6.31368,161748
+hot-symbol-top-bottom,16,baseline,3,35.1957,34.7294,35.6344,34.6904,34.6876,34.9381,251692
+hot-symbol-top-bottom,16,current,3,3.70493,3.67376,3.73629,3.48573,3.2646,3.51375,243864
+hot-symbol-top-bottom,default,baseline,3,35.3818,35.0857,36.5757,34.8644,34.8419,35.2068,375272
+hot-symbol-top-bottom,default,current,3,2.78521,2.71892,3.09585,2.4075,2.33323,2.48572,367064
+hot-max-k,1,baseline,3,7.35581,7.33929,7.40069,6.20819,6.14517,6.22762,89476
+hot-max-k,1,current,3,7.44675,7.42152,7.44743,6.20461,6.17833,6.26316,89712
+hot-max-k,2,baseline,3,7.41444,7.38344,7.59539,6.26401,6.19853,6.26789,100512
+hot-max-k,2,current,3,4.69163,4.63966,5.74057,3.39216,3.37885,3.42091,100020
+hot-max-k,4,baseline,3,7.37509,7.36134,7.42052,6.14683,6.13649,6.21471,120824
+hot-max-k,4,current,3,3.45289,3.32557,4.14981,2.11833,2.09552,2.60527,118900
+hot-max-k,8,baseline,3,7.40997,7.40579,7.43164,6.17699,6.13231,6.24115,161632
+hot-max-k,8,current,3,2.95818,2.72658,2.98685,1.67287,1.63454,1.69518,159440
+hot-max-k,16,baseline,3,7.3535,7.3466,7.54174,6.1588,6.15276,6.22784,243832
+hot-max-k,16,current,3,2.99184,2.95809,3.03695,1.28785,1.22919,1.3723,241620
+hot-max-k,default,baseline,3,7.66154,7.34957,8.74676,6.1794,6.16771,6.1954,367056
+hot-max-k,default,current,3,4.38078,3.93952,4.85503,1.28793,1.25868,1.30467,364676
diff --git a/bench/groupby_shapes/results/2026-09-15/phase-profiles.csv b/bench/groupby_shapes/results/2026-09-15/phase-profiles.csv
new file mode 100644
index 00000000..f2c0a159
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-15/phase-profiles.csv
@@ -0,0 +1,181 @@
+case,workers,binary,phase,processes,cold_median_ms,cold_min_ms,cold_max_ms,warm_median_ms,warm_min_ms,warm_max_ms
+extrema-f32,4,baseline,group: v2 dense,2,0.277,0.266,0.288,0.22599999999999998,0.214,0.238
+extrema-f32,4,baseline,dense: initialized slabs,2,0.5525,0.438,0.667,0.3625,0.36,0.365
+extrema-f32,4,baseline,dense: accumulated rows,2,1.1284999999999998,1.069,1.188,1.111,1.091,1.131
+extrema-f32,4,baseline,dense: merged slabs,2,0.34199999999999997,0.34,0.344,0.34,0.338,0.342
+extrema-f32,4,baseline,dense: freed slabs and counted groups,2,0.012,0.012,0.012,0.011,0.011,0.011
+extrema-f32,4,current,group: v2 dense,2,0.107,0.103,0.111,0.0605,0.058,0.063
+extrema-f32,4,current,dense: allocated slabs,2,0.642,0.633,0.651,0.001,0.001,0.001
+extrema-f32,4,current,dense: accumulated rows,2,1.2205,1.217,1.224,0.8109999999999999,0.801,0.821
+extrema-f32,4,current,dense: merged slabs,2,0.3565,0.349,0.364,0.273,0.273,0.273
+extrema-f32,4,current,dense: freed slabs and counted groups,2,0.0135,0.013,0.014,0.009,0.009,0.009
+clustered,4,baseline,group: v2 dense,2,0.202,0.195,0.209,0.1815,0.181,0.182
+clustered,4,baseline,dense: initialized slabs,2,0.23149999999999998,0.168,0.295,0.4205,0.313,0.528
+clustered,4,baseline,dense: accumulated rows,2,0.515,0.35,0.68,0.4615,0.32,0.603
+clustered,4,baseline,dense: merged slabs,2,0.35050000000000003,0.342,0.359,0.351,0.343,0.359
+clustered,4,baseline,dense: freed slabs and counted groups,2,0.0225,0.022,0.023,0.0215,0.021,0.022
+clustered,4,current,group: v2 dense,2,0.2515,0.249,0.254,0.1275,0.055,0.2
+clustered,4,current,dense: allocated slabs,2,0.624,0.62,0.628,0.001,0.001,0.001
+clustered,4,current,dense: accumulated rows,2,1.141,1.134,1.148,0.5840000000000001,0.401,0.767
+clustered,4,current,dense: merged slabs,2,0.1655,0.161,0.17,0.1585,0.157,0.16
+clustered,4,current,dense: freed slabs and counted groups,2,0.02,0.02,0.02,0.019,0.019,0.019
+symbol-key,2,baseline,group: v2 dense,2,0.013999999999999999,0.013,0.015,0.005,0.004,0.006
+symbol-key,2,baseline,dense: initialized slabs,2,0.003,0.003,0.003,0.0025,0.002,0.003
+symbol-key,2,baseline,dense: accumulated rows,2,0.762,0.625,0.899,0.7025,0.547,0.858
+symbol-key,2,baseline,dense: merged slabs,2,0.003,0.003,0.003,0.002,0.002,0.002
+symbol-key,2,baseline,dense: freed slabs and counted groups,2,0.0005,0.0,0.001,0.0005,0.0,0.001
+symbol-key,2,current,group: v2 dense,2,0.0155,0.014,0.017,0.005,0.005,0.005
+symbol-key,2,current,dense: allocated slabs,2,0.0025,0.002,0.003,0.002,0.002,0.002
+symbol-key,2,current,dense: accumulated rows,2,0.7255,0.645,0.806,0.5694999999999999,0.568,0.571
+symbol-key,2,current,dense: merged slabs,2,0.002,0.002,0.002,0.0015,0.001,0.002
+symbol-key,2,current,dense: freed slabs and counted groups,2,0.001,0.001,0.001,0.0,0.0,0.0
+hot-min-descending,8,baseline,group: v2 dense,2,0.2495,0.238,0.261,0.2265,0.203,0.25
+hot-min-descending,8,baseline,dense: initialized slabs,2,0.2,0.19,0.21,0.4115,0.403,0.42
+hot-min-descending,8,baseline,dense: accumulated rows,2,0.36,0.343,0.377,0.3685,0.353,0.384
+hot-min-descending,8,baseline,dense: merged slabs,2,0.21300000000000002,0.203,0.223,0.21000000000000002,0.167,0.253
+hot-min-descending,8,baseline,dense: freed slabs and counted groups,2,0.015,0.014,0.016,0.013999999999999999,0.013,0.015
+hot-min-descending,8,current,group: v2 dense,2,0.1355,0.135,0.136,0.1335,0.129,0.138
+hot-min-descending,8,current,dense: allocated slabs,2,0.6595,0.643,0.676,0.0,0.0,0.0
+hot-min-descending,8,current,dense: accumulated rows,2,0.996,0.99,1.002,0.5740000000000001,0.56,0.588
+hot-min-descending,8,current,dense: merged slabs,2,0.19,0.172,0.208,0.14,0.137,0.143
+hot-min-descending,8,current,dense: freed slabs and counted groups,2,0.013,0.013,0.013,0.0115,0.011,0.012
+sum-f64,8,baseline,group: v2 dense,2,0.324,0.272,0.376,0.21800000000000003,0.203,0.233
+sum-f64,8,baseline,dense: initialized slabs,2,0.2275,0.221,0.234,0.44599999999999995,0.329,0.563
+sum-f64,8,baseline,dense: accumulated rows,2,0.885,0.712,1.058,0.716,0.397,1.035
+sum-f64,8,baseline,dense: merged slabs,2,1.3785,1.366,1.391,1.147,0.931,1.363
+sum-f64,8,baseline,dense: freed slabs and counted groups,2,0.013999999999999999,0.013,0.015,0.012,0.012,0.012
+sum-f64,8,current,group: v2 dense,2,0.1285,0.114,0.143,0.112,0.111,0.113
+sum-f64,8,current,dense: allocated slabs,2,0.6355,0.633,0.638,0.0,0.0,0.0
+sum-f64,8,current,dense: accumulated rows,2,1.525,1.323,1.727,1.1185,0.933,1.304
+sum-f64,8,current,dense: merged slabs,2,0.296,0.29,0.302,0.2425,0.241,0.244
+sum-f64,8,current,dense: freed slabs and counted groups,2,0.012,0.012,0.012,0.011,0.011,0.011
+float-key,default,baseline,group: parallel wide-key strategy,2,0.0075,0.007,0.008,0.0025,0.002,0.003
+float-key,default,baseline,group: legacy,2,0.001,0.001,0.001,0.0,0.0,0.0
+float-key,default,current,group: v2 indexed,2,0.008,0.007,0.009,0.002,0.002,0.002
+float-key,default,current,directory: allocated,2,0.677,0.639,0.715,0.0,0.0,0.0
+float-key,default,current,directory: initialized,2,0.374,0.331,0.417,0.094,0.086,0.102
+float-key,default,current,directory: inserted keys,2,1.545,1.399,1.691,0.7795,0.705,0.854
+float-key,default,current,directory: counted groups,2,0.153,0.152,0.154,0.107,0.086,0.128
+float-key,default,current,directory: compacted groups,2,0.124,0.116,0.132,0.14150000000000001,0.118,0.165
+float-key,default,current,directory: remapped rows,2,0.1275,0.104,0.151,0.119,0.096,0.142
+float-key,default,current,indexed: grouped keys,2,0.066,0.056,0.076,0.043,0.043,0.043
+float-key,default,current,indexed slices: histogram,2,0.093,0.062,0.124,0.07300000000000001,0.062,0.084
+float-key,default,current,indexed slices: packed,2,0.138,0.093,0.183,0.1115,0.096,0.127
+float-key,default,current,indexed slices: counted groups,2,0.1645,0.128,0.201,0.119,0.109,0.129
+float-key,default,current,indexed slices: filled,2,1.4855,1.16,1.811,0.5885,0.507,0.67
+float-key,default,current,indexed: stable row slices,2,0.001,0.001,0.001,0.0,0.0,0.0
+float-key,default,current,indexed: emitted keys,2,0.08399999999999999,0.065,0.103,0.0565,0.05,0.063
+float-key,default,current,indexed: emitted aggregate,2,0.4235,0.378,0.469,0.2395,0.204,0.275
+clustered,8,baseline,group: v2 dense,2,0.208,0.205,0.211,0.1885,0.186,0.191
+clustered,8,baseline,dense: initialized slabs,2,0.3695,0.352,0.387,0.617,0.478,0.756
+clustered,8,baseline,dense: accumulated rows,2,0.4385,0.382,0.495,0.35150000000000003,0.343,0.36
+clustered,8,baseline,dense: merged slabs,2,0.40549999999999997,0.352,0.459,0.324,0.319,0.329
+clustered,8,baseline,dense: freed slabs and counted groups,2,0.027999999999999997,0.026,0.03,0.024,0.024,0.024
+clustered,8,current,group: v2 dense,2,0.088,0.059,0.117,0.10350000000000001,0.101,0.106
+clustered,8,current,dense partition: histogram,2,0.819,0.817,0.821,0.179,0.178,0.18
+clustered,8,current,dense partition: scattered rows,2,1.0070000000000001,0.93,1.084,0.308,0.297,0.319
+clustered,8,current,dense partition: reduced groups,2,0.2175,0.205,0.23,0.2095,0.208,0.211
+clustered,8,current,dense partition: merged split partitions,2,0.0055,0.005,0.006,0.0055,0.005,0.006
+clustered,8,current,dense: freed slabs and counted groups,2,0.0215,0.021,0.022,0.02,0.02,0.02
+sparse,default,baseline,group: v2 radix,2,0.3655,0.352,0.379,0.40249999999999997,0.395,0.41
+sparse,default,current,group: v2 radix,2,0.07150000000000001,0.07,0.073,0.1305,0.126,0.135
+sparse,default,current,radix: scattered rows,2,1.4155,1.381,1.45,2.0185,1.932,2.105
+sparse,default,current,radix: reduced partitions,2,1.3475000000000001,1.252,1.443,1.6475,1.623,1.672
+sparse,default,current,radix: ordered groups,2,1.6724999999999999,1.656,1.689,0.9005000000000001,0.883,0.918
+truth,2,baseline,group: v2 dense,2,0.263,0.26,0.266,0.223,0.213,0.233
+truth,2,baseline,dense: initialized slabs,2,0.3105,0.307,0.314,0.403,0.398,0.408
+truth,2,baseline,dense: accumulated rows,2,1.913,1.883,1.943,2.1065,1.89,2.323
+truth,2,baseline,dense: merged slabs,2,0.3035,0.301,0.306,0.3105,0.306,0.315
+truth,2,baseline,dense: freed slabs and counted groups,2,0.017,0.017,0.017,0.0135,0.012,0.015
+truth,2,current,group: v2 dense,2,0.1625,0.161,0.164,0.093,0.093,0.093
+truth,2,current,dense: allocated slabs,2,0.001,0.001,0.001,0.0,0.0,0.0
+truth,2,current,dense: accumulated rows,2,1.809,1.807,1.811,1.7515,1.747,1.756
+truth,2,current,dense: merged slabs,2,1.0205,1.011,1.03,0.247,0.247,0.247
+truth,2,current,dense: freed slabs and counted groups,2,0.013000000000000001,0.012,0.014,0.008,0.008,0.008
+nonnull,8,baseline,group: v2 dense,2,0.275,0.274,0.276,0.2455,0.243,0.248
+nonnull,8,baseline,dense: initialized slabs,2,0.39149999999999996,0.37,0.413,0.755,0.707,0.803
+nonnull,8,baseline,dense: accumulated rows,2,0.8140000000000001,0.793,0.835,0.857,0.855,0.859
+nonnull,8,baseline,dense: merged slabs,2,0.515,0.511,0.519,0.45999999999999996,0.434,0.486
+nonnull,8,baseline,dense: freed slabs and counted groups,2,0.015,0.015,0.015,0.014499999999999999,0.014,0.015
+nonnull,8,current,group: v2 dense,2,0.166,0.161,0.171,0.10300000000000001,0.101,0.105
+nonnull,8,current,dense partition: histogram,2,1.1825,1.073,1.292,0.5549999999999999,0.478,0.632
+nonnull,8,current,dense partition: scattered rows,2,0.9944999999999999,0.886,1.103,0.6305000000000001,0.615,0.646
+nonnull,8,current,dense partition: reduced groups,2,0.7070000000000001,0.648,0.766,0.702,0.636,0.768
+nonnull,8,current,dense partition: merged split partitions,2,0.0035,0.003,0.004,0.004,0.004,0.004
+nonnull,8,current,dense: freed slabs and counted groups,2,0.012,0.012,0.012,0.011,0.011,0.011
+product,8,baseline,group: v2 dense,2,0.2755,0.274,0.277,0.235,0.232,0.238
+product,8,baseline,dense: initialized slabs,2,0.2955,0.273,0.318,0.6265000000000001,0.585,0.668
+product,8,baseline,dense: accumulated rows,2,0.8185,0.528,1.109,0.8280000000000001,0.555,1.101
+product,8,baseline,dense: merged slabs,2,0.606,0.576,0.636,0.604,0.572,0.636
+product,8,baseline,dense: freed slabs and counted groups,2,0.0135,0.013,0.014,0.014,0.014,0.014
+product,8,current,group: v2 dense,2,0.16999999999999998,0.141,0.199,0.113,0.113,0.113
+product,8,current,dense: allocated slabs,2,0.636,0.631,0.641,0.0,0.0,0.0
+product,8,current,dense: accumulated rows,2,1.7905,1.436,2.145,1.361,0.993,1.729
+product,8,current,dense: merged slabs,2,0.30100000000000005,0.271,0.331,0.2385,0.224,0.253
+product,8,current,dense: freed slabs and counted groups,2,0.0125,0.012,0.013,0.0115,0.011,0.012
+extrema-i32,4,baseline,group: v2 dense,2,0.266,0.262,0.27,0.2145,0.207,0.222
+extrema-i32,4,baseline,dense: initialized slabs,2,0.522,0.422,0.622,0.5175,0.463,0.572
+extrema-i32,4,baseline,dense: accumulated rows,2,1.3185,0.995,1.642,1.244,1.053,1.435
+extrema-i32,4,baseline,dense: merged slabs,2,0.4455,0.325,0.566,0.4165,0.333,0.5
+extrema-i32,4,baseline,dense: freed slabs and counted groups,2,0.011,0.011,0.011,0.0115,0.011,0.012
+extrema-i32,4,current,group: v2 dense,2,0.224,0.187,0.261,0.1575,0.085,0.23
+extrema-i32,4,current,dense: allocated slabs,2,0.0015,0.001,0.002,0.001,0.001,0.001
+extrema-i32,4,current,dense: accumulated rows,2,1.565,1.562,1.568,1.101,0.764,1.438
+extrema-i32,4,current,dense: merged slabs,2,0.498,0.466,0.53,0.3725,0.287,0.458
+extrema-i32,4,current,dense: freed slabs and counted groups,2,0.0215,0.011,0.032,0.010499999999999999,0.01,0.011
+sum-time,4,baseline,group: v2 dense,2,0.2665,0.264,0.269,0.1965,0.193,0.2
+sum-time,4,baseline,dense: initialized slabs,2,0.20950000000000002,0.199,0.22,0.42000000000000004,0.389,0.451
+sum-time,4,baseline,dense: accumulated rows,2,1.097,0.946,1.248,0.766,0.749,0.783
+sum-time,4,baseline,dense: merged slabs,2,0.489,0.489,0.489,0.476,0.471,0.481
+sum-time,4,baseline,dense: freed slabs and counted groups,2,0.0155,0.014,0.017,0.0115,0.011,0.012
+sum-time,4,current,group: v2 dense,2,0.22449999999999998,0.164,0.285,0.1295,0.059,0.2
+sum-time,4,current,dense: allocated slabs,2,0.0015,0.001,0.002,0.001,0.001,0.001
+sum-time,4,current,dense: accumulated rows,2,1.0025,0.99,1.015,0.6655,0.447,0.884
+sum-time,4,current,dense: merged slabs,2,0.2415,0.239,0.244,0.1925,0.15,0.235
+sum-time,4,current,dense: freed slabs and counted groups,2,0.01,0.01,0.01,0.01,0.01,0.01
+sum-i64,8,baseline,group: v2 dense,2,0.36550000000000005,0.275,0.456,0.22699999999999998,0.212,0.242
+sum-i64,8,baseline,dense: initialized slabs,2,0.242,0.242,0.242,0.5545,0.532,0.577
+sum-i64,8,baseline,dense: accumulated rows,2,0.877,0.696,1.058,0.8815,0.731,1.032
+sum-i64,8,baseline,dense: merged slabs,2,1.2375,1.183,1.292,1.2565,1.244,1.269
+sum-i64,8,baseline,dense: freed slabs and counted groups,2,0.0125,0.012,0.013,0.012,0.012,0.012
+sum-i64,8,current,group: v2 dense,2,0.183,0.173,0.193,0.11499999999999999,0.112,0.118
+sum-i64,8,current,dense: allocated slabs,2,0.6255,0.622,0.629,0.0,0.0,0.0
+sum-i64,8,current,dense: accumulated rows,2,1.3519999999999999,1.03,1.674,0.94,0.898,0.982
+sum-i64,8,current,dense: merged slabs,2,0.26049999999999995,0.236,0.285,0.251,0.225,0.277
+sum-i64,8,current,dense: freed slabs and counted groups,2,0.012,0.011,0.013,0.0115,0.011,0.012
+sum-i64,default,baseline,group: dense worker budget exceeded,2,0.4585,0.358,0.559,0.3425,0.333,0.352
+sum-i64,default,baseline,group: v2 radix,2,0.0,0.0,0.0,0.0,0.0,0.0
+sum-i64,default,current,group: v2 dense,2,0.08199999999999999,0.072,0.092,0.0475,0.045,0.05
+sum-i64,default,current,dense partition: histogram,2,0.8315,0.809,0.854,0.202,0.202,0.202
+sum-i64,default,current,dense partition: scattered rows,2,1.6,1.558,1.642,0.196,0.191,0.201
+sum-i64,default,current,dense partition: reduced groups,2,0.23199999999999998,0.225,0.239,0.1365,0.134,0.139
+sum-i64,default,current,dense partition: merged split partitions,2,0.02,0.019,0.021,0.019000000000000003,0.017,0.021
+sum-i64,default,current,dense: freed slabs and counted groups,2,0.024,0.012,0.036,0.018000000000000002,0.011,0.025
+guid-key,8,baseline,group: v2 indexed,2,0.008,0.008,0.008,0.0025,0.002,0.003
+guid-key,8,current,group: v2 indexed,2,0.0095,0.009,0.01,0.003,0.003,0.003
+guid-key,8,current,directory: allocated,2,0.6715,0.662,0.681,0.0005,0.0,0.001
+guid-key,8,current,directory: initialized,2,0.279,0.246,0.312,0.163,0.162,0.164
+guid-key,8,current,directory: inserted keys,2,1.001,0.836,1.166,0.744,0.707,0.781
+guid-key,8,current,directory: counted groups,2,0.089,0.078,0.1,0.074,0.074,0.074
+guid-key,8,current,directory: compacted groups,2,0.038000000000000006,0.034,0.042,0.0345,0.034,0.035
+guid-key,8,current,directory: remapped rows,2,0.068,0.057,0.079,0.069,0.069,0.069
+guid-key,8,current,indexed: grouped keys,2,0.001,0.001,0.001,0.001,0.001,0.001
+guid-key,8,current,indexed: stable row slices,2,0.5820000000000001,0.511,0.653,0.164,0.163,0.165
+guid-key,8,current,indexed: emitted keys,2,0.0015,0.001,0.002,0.001,0.001,0.001
+guid-key,8,current,indexed: emitted aggregate,2,0.502,0.495,0.509,0.3825,0.367,0.398
+guid-key,8,current,rank: selected dominant groups,2,1.4835,1.423,1.544,1.4020000000000001,1.37,1.434
+guid-key,8,current,rank: reduced remaining groups,2,0.003,0.003,0.003,0.003,0.003,0.003
+guid-key,default,baseline,group: v2 indexed,2,0.008,0.008,0.008,0.002,0.002,0.002
+guid-key,default,current,group: v2 indexed,2,0.010499999999999999,0.009,0.012,0.0025,0.002,0.003
+guid-key,default,current,directory: allocated,2,0.622,0.603,0.641,0.001,0.001,0.001
+guid-key,default,current,directory: initialized,2,0.3805,0.366,0.395,0.2245,0.224,0.225
+guid-key,default,current,directory: inserted keys,2,1.297,1.253,1.341,0.40249999999999997,0.395,0.41
+guid-key,default,current,directory: counted groups,2,0.078,0.076,0.08,0.0485,0.043,0.054
+guid-key,default,current,directory: compacted groups,2,0.022,0.021,0.023,0.0215,0.021,0.022
+guid-key,default,current,directory: remapped rows,2,0.0455,0.045,0.046,0.045,0.045,0.045
+guid-key,default,current,indexed: grouped keys,2,0.001,0.001,0.001,0.001,0.001,0.001
+guid-key,default,current,indexed: stable row slices,2,1.884,1.805,1.963,0.082,0.081,0.083
+guid-key,default,current,indexed: emitted keys,2,0.009999999999999998,0.009,0.011,0.001,0.001,0.001
+guid-key,default,current,indexed: emitted aggregate,2,0.4935,0.476,0.511,0.211,0.21,0.212
+guid-key,default,current,rank: selected dominant groups,2,1.7025000000000001,1.512,1.893,1.682,1.377,1.987
+guid-key,default,current,rank: reduced remaining groups,2,0.016,0.013,0.019,0.014499999999999999,0.014,0.015
diff --git a/bench/groupby_shapes/results/2026-09-15/processes.csv b/bench/groupby_shapes/results/2026-09-15/processes.csv
new file mode 100644
index 00000000..cf7170ee
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-15/processes.csv
@@ -0,0 +1,2701 @@
+case,workers,binary,sha256,round,rows,groups,cold_ms,peak_rss_kib,result_sha256,warm_median_ms,warm_1_ms,warm_2_ms,warm_3_ms,warm_4_ms,warm_5_ms
+sum-bool,1,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,2.84029,71188,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,2.69803,2.69338,2.69803,2.69106,2.7116,2.70644
+sum-bool,1,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.83958,71028,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,1.66011,1.67381,1.66224,1.6541,1.65769,1.66011
+sum-bool,2,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,1.98643,95924,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,1.72391,1.72391,1.95374,1.69098,1.82202,1.68245
+sum-bool,2,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.22503,81584,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,1.11582,1.11817,1.11582,1.11727,1.11338,1.11132
+sum-bool,4,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,1.45689,126948,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,1.44421,1.55263,1.34111,1.7022,1.32502,1.44421
+sum-bool,4,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.56088,102120,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,0.734525,1.38769,0.735753,0.731474,0.73046,0.734525
+sum-bool,8,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,2.78327,199900,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,2.76534,2.76534,1.8398,3.20719,2.46263,2.90919
+sum-bool,8,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.78182,142920,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,1.53973,1.67467,1.68282,1.53973,1.11691,1.19448
+sum-bool,16,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,5.14442,348288,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,5.20144,4.7971,4.66656,6.50888,5.20144,6.0742
+sum-bool,16,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,0.996806,225176,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,0.918078,0.791002,0.918078,0.929396,0.940238,0.80067
+sum-bool,default,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,3.91682,749624,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,5.28817,5.28817,5.10961,6.28428,5.2399,6.18588
+sum-bool,default,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,0.839015,348196,3a422bd9b13a7dd1317a73bf9bc8f1ebb834620bbc623153bb60a62d1f0ddbed,0.643422,0.699736,0.643422,0.625711,0.714956,0.615977
+extrema-bool,1,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,3.19557,71028,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,3.02039,3.03857,2.98298,2.95707,3.02747,3.02039
+extrema-bool,1,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,2.84382,71208,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,2.62084,2.65252,2.62084,2.61993,2.61404,2.63297
+extrema-bool,2,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,2.4467,104088,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,2.23056,2.55055,2.32675,1.97633,2.23056,1.99682
+extrema-bool,2,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.8371,81524,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,1.73467,1.73584,1.73467,1.73169,1.76625,1.72338
+extrema-bool,4,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,1.95792,169416,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,2.04509,2.04509,2.43805,1.69009,2.07742,1.80743
+extrema-bool,4,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,2.06788,101976,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,1.1646,1.27576,1.23234,1.1646,1.16086,1.14701
+extrema-bool,8,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,3.35131,300728,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,3.60044,3.60044,3.18023,4.41703,3.61146,3.04843
+extrema-bool,8,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,2.28211,143196,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,1.72616,2.26358,1.99024,1.62486,1.63282,1.72616
+extrema-bool,16,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,3.79115,507888,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,4.63651,4.2763,4.91498,4.63651,3.84428,5.52086
+extrema-bool,16,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.13552,225128,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,1.83127,1.51155,1.47836,1.83127,1.9465,1.8874
+extrema-bool,default,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,4.13591,809292,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,5.60263,5.39616,6.54593,4.74846,5.60263,8.72862
+extrema-bool,default,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,0.988766,348356,11a2b43ddb236cf91744ab8f1ced269bcd7426c87a195977b338f9c480bfea34,0.814595,0.879929,0.836259,0.805611,0.805832,0.814595
+sum-u8,1,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,2.87442,70932,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,2.69868,2.69868,2.69519,2.68813,2.71272,2.7044
+sum-u8,1,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.82349,71536,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,1.65574,1.66772,1.65512,1.65544,1.66702,1.65574
+sum-u8,2,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,2.03569,95920,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,1.7313,1.7313,1.99937,1.7188,1.82547,1.68594
+sum-u8,2,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.45635,81744,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,1.1986,1.2939,1.29231,1.1986,1.17552,1.11363
+sum-u8,4,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,2.06063,126740,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,1.91371,2.20243,1.91371,2.4272,1.87738,1.4149
+sum-u8,4,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.61996,102036,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,1.43282,1.58715,1.49256,1.43282,1.42859,1.42507
+sum-u8,8,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,3.27418,200560,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,3.1271,3.32739,2.93051,3.75022,3.1271,2.96594
+sum-u8,8,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.50413,143120,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,1.37373,1.37279,1.40417,1.51601,1.36798,1.37373
+sum-u8,16,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,5.09348,348236,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,5.15294,5.46629,5.15294,5.49655,4.08691,4.78483
+sum-u8,16,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.04345,225136,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,0.884019,0.884019,0.946074,0.815991,0.925342,0.835646
+sum-u8,default,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,4.04075,756084,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,4.8532,4.85175,4.41111,6.24515,4.8532,5.48187
+sum-u8,default,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,0.797461,348112,6ee3c77ffbcfa78658c6e2d83db34cfa1d1e7dee8b7b22b8a489f69ac294492f,1.36317,0.68255,1.29027,1.36317,1.49408,1.3846
+extrema-u8,1,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,3.29172,70728,865618857312d182f2e0f74b03c647f75d8a300ec949898790a3af65cf896f38,3.0048,2.95851,3.00506,3.0048,2.95557,3.04542
+extrema-u8,1,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,3.08847,71264,865618857312d182f2e0f74b03c647f75d8a300ec949898790a3af65cf896f38,2.80163,2.84814,2.82755,2.80163,2.75288,2.7626
+extrema-u8,2,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,2.76971,103816,865618857312d182f2e0f74b03c647f75d8a300ec949898790a3af65cf896f38,2.2824,2.58948,2.4022,2.03546,2.2824,2.08734
+extrema-u8,2,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,2.15706,81532,865618857312d182f2e0f74b03c647f75d8a300ec949898790a3af65cf896f38,1.87726,1.9192,1.87726,1.88585,1.86188,1.84688
+extrema-u8,4,baseline,f9ed90d41e7bff92707a796e4677772351a23e53a6e148cf831a3feb92ae880e,1,1000000,65536,2.89413,169504,865618857312d182f2e0f74b03c647f75d8a300ec949898790a3af65cf896f38,2.06043,2.62644,2.41707,1.82885,2.06043,1.86134
+extrema-u8,4,current,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,1,1000000,65536,1.6939,102360,865618857312d182f2e0f74b03c647f75d8a300ec949898790a3af65cf896f38,1.28068,1.4003,1.29125,1.28068,1.26719,1.27358
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diff --git a/bench/groupby_shapes/results/2026-09-15/regression-repeat.csv b/bench/groupby_shapes/results/2026-09-15/regression-repeat.csv
new file mode 100644
index 00000000..261b02d2
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-15/regression-repeat.csv
@@ -0,0 +1,131 @@
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diff --git a/bench/groupby_shapes/results/2026-09-15/topk.csv b/bench/groupby_shapes/results/2026-09-15/topk.csv
new file mode 100644
index 00000000..f619eebb
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-15/topk.csv
@@ -0,0 +1,31 @@
+case,workers,binary,processes,cold_median_ms,cold_min_ms,cold_max_ms,warm_median_ms,warm_min_ms,warm_max_ms,peak_rss_kib
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+topk-k1024,1,current,3,11.411387,11.049837,12.989153,11.205686,11.064206,11.597321,75568
+topk-k1024,2,baseline,3,10.89963,10.865237,11.088383,10.931895,10.919874,11.268303,75588
+topk-k1024,2,current,3,6.340218,6.10268,7.639043,5.961478,5.002112,6.09708,75616
+topk-k1024,4,baseline,3,10.966465,10.861603,13.783205,11.784867,11.196765,13.754593,75584
+topk-k1024,4,current,3,4.277831,3.309514,4.590614,3.068007,2.925685,3.28973,75848
+topk-k1024,8,baseline,3,10.892762,10.8871,13.620971,10.957506,10.843468,13.651051,75588
+topk-k1024,8,current,3,2.986781,2.515783,3.831533,2.147878,2.135349,2.176372,76028
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+topk-k1024,16,current,3,2.379032,2.347969,2.390542,1.917026,1.819151,2.595744,76024
+topk-k1024,default,baseline,3,10.865945,10.85488,11.075247,10.962551,10.827867,11.238119,76028
+topk-k1024,default,current,3,2.429796,2.368251,2.695446,1.795333,1.638305,2.398588,76504
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+topk-k65536,default,baseline,3,53.779995,53.323816,54.264221,53.400857,53.380389,53.521439,76020
+topk-k65536,default,current,3,16.618184,16.022741,16.943637,17.512047,15.856185,19.666095,135420
+topk-k4000003,1,current,3,785.378454,775.297452,854.277818,772.736533,753.571619,790.445878,168052
+topk-k4000003,2,current,3,607.185955,604.851981,635.229334,600.899441,592.557223,601.927905,199696
+topk-k4000003,4,current,3,291.998585,286.094661,292.375116,278.550761,273.874177,278.77021,199008
+topk-k4000003,8,current,3,164.679004,160.720852,172.817135,159.593952,150.183166,160.599564,198596
+topk-k4000003,16,current,3,131.154004,129.682969,135.12972,132.267032,125.633564,135.057423,198600
+topk-k4000003,default,current,3,97.46706,96.526381,104.909471,89.194126,88.078586,101.335575,197912
diff --git a/bench/groupby_shapes/results/2026-09-16-audit/environment.json b/bench/groupby_shapes/results/2026-09-16-audit/environment.json
new file mode 100644
index 00000000..fc143f8d
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-16-audit/environment.json
@@ -0,0 +1,39 @@
+{
+  "kernel": "Linux-6.17.9-76061709-generic-x86_64-with-glibc2.35",
+  "cpu": {
+    "Architecture": "x86_64",
+    "CPU(s)": "28",
+    "On-line CPU(s) list": "0-27",
+    "Model name": "Intel(R) Core(TM) i7-14700",
+    "Thread(s) per core": "2",
+    "Core(s) per socket": "20",
+    "Socket(s)": "1",
+    "L2 cache": "28 MiB (11 instances)",
+    "L3 cache": "33 MiB (1 instance)"
+  },
+  "compiler": "cc (Ubuntu 11.4.0-1ubuntu1~22.04.3) 11.4.0",
+  "build_flags": "-O3 -march=native -funroll-loops -fomit-frame-pointer -fno-math-errno -falign-functions=64 -fassociative-math -ffp-contract=fast -fno-signed-zeros -fno-trapping-math",
+  "governor": "powersave",
+  "scaling_driver": "intel_pstate",
+  "candidate_revision": "fdf365f3a52af3ceeb0814c59ba7be272d8b419f",
+  "baseline_revision": "f61a4eda",
+  "candidate_sha256": "ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b",
+  "baseline_sha256": "1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353",
+  "workers": [
+    "1",
+    "8",
+    "default"
+  ],
+  "fresh_processes_per_case": 3,
+  "warm_executions_per_process": 5,
+  "typed_result_comparisons": 144,
+  "asan_ubsan_tests": 3832,
+  "extra_query_fixture_total_threads": 28,
+  "repeat_typed_result_comparisons": 30,
+  "repeat_cases": [
+    "binary",
+    "clustered",
+    "symbol-key"
+  ],
+  "repeat_processes_per_binary_case": 5
+}
diff --git a/bench/groupby_shapes/results/2026-09-16-audit/grouping.csv b/bench/groupby_shapes/results/2026-09-16-audit/grouping.csv
new file mode 100644
index 00000000..c4ca7381
--- /dev/null
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new file mode 100644
index 00000000..5f11d116
--- /dev/null
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diff --git a/bench/groupby_shapes/results/2026-09-16-audit/repeat-processes.csv b/bench/groupby_shapes/results/2026-09-16-audit/repeat-processes.csv
new file mode 100644
index 00000000..0eedec58
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-16-audit/repeat-processes.csv
@@ -0,0 +1,31 @@
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+clustered,default,current,ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b,3,1000000,125000,2.86803,368572,9226fbbc34dc78a0eb0d9731b6075244eb0d8c9daf05af27419f638bf9d95c9c,0.610024,0.793735,0.676571,0.596921,0.610024,0.609765
+symbol-key,default,baseline,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,3,1000000,4,0.560579,364508,f4f0cd4a2b69b2ea50a501980d32272f8f90ca85d2e6c4191191f90689bb19db,0.237495,0.322844,0.237495,0.228066,0.236653,0.253669
+symbol-key,default,current,ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b,3,1000000,4,0.588016,364524,f4f0cd4a2b69b2ea50a501980d32272f8f90ca85d2e6c4191191f90689bb19db,0.257872,0.451,0.29146,0.257872,0.243948,0.230008
+symbol-key,default,current,ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b,4,1000000,4,0.586222,364764,f4f0cd4a2b69b2ea50a501980d32272f8f90ca85d2e6c4191191f90689bb19db,0.227315,0.324147,0.251721,0.227315,0.203056,0.200766
+symbol-key,default,baseline,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,4,1000000,4,0.568215,364496,f4f0cd4a2b69b2ea50a501980d32272f8f90ca85d2e6c4191191f90689bb19db,0.233798,0.331092,0.246403,0.233798,0.204844,0.205781
+clustered,default,current,ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b,4,1000000,125000,2.82288,368652,9226fbbc34dc78a0eb0d9731b6075244eb0d8c9daf05af27419f638bf9d95c9c,0.605434,0.740494,0.676974,0.605434,0.534103,0.584426
+clustered,default,baseline,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,4,1000000,125000,2.92315,368932,9226fbbc34dc78a0eb0d9731b6075244eb0d8c9daf05af27419f638bf9d95c9c,0.626003,0.720621,0.626003,0.630622,0.601544,0.567921
+binary,default,current,ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b,4,1000000,65536,6.49526,391468,a07c1dabc08383bc311d6241d6f8f29ca0845609ef637c571d284a88105dca45,2.32828,3.05766,2.32828,2.28743,2.24317,2.35525
+binary,default,baseline,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,4,1000000,65536,6.13455,391476,a07c1dabc08383bc311d6241d6f8f29ca0845609ef637c571d284a88105dca45,2.28711,3.09966,2.33503,2.24562,2.28711,2.26761
+binary,default,baseline,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,5,1000000,65536,5.44895,391496,a07c1dabc08383bc311d6241d6f8f29ca0845609ef637c571d284a88105dca45,2.34941,3.07027,2.33892,2.40147,2.34941,2.32993
+binary,default,current,ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b,5,1000000,65536,5.78132,391788,a07c1dabc08383bc311d6241d6f8f29ca0845609ef637c571d284a88105dca45,2.31598,3.06165,2.35428,2.26824,2.31598,2.30934
+clustered,default,baseline,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,5,1000000,125000,2.92659,368400,9226fbbc34dc78a0eb0d9731b6075244eb0d8c9daf05af27419f638bf9d95c9c,0.58954,0.888407,0.7107,0.58954,0.583594,0.579485
+clustered,default,current,ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b,5,1000000,125000,2.77178,368908,9226fbbc34dc78a0eb0d9731b6075244eb0d8c9daf05af27419f638bf9d95c9c,0.579778,0.712898,0.652861,0.565083,0.541309,0.579778
+symbol-key,default,baseline,1003a83830e8b12ae1cb86bdec98af3d649ae54404b59a1466ec31548b149353,5,1000000,4,0.585992,364756,f4f0cd4a2b69b2ea50a501980d32272f8f90ca85d2e6c4191191f90689bb19db,0.254363,0.343141,0.254363,0.344411,0.216216,0.202344
+symbol-key,default,current,ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b,5,1000000,4,0.565357,364736,f4f0cd4a2b69b2ea50a501980d32272f8f90ca85d2e6c4191191f90689bb19db,0.23108,0.322835,0.271226,0.23108,0.202451,0.206937
diff --git a/bench/groupby_shapes/results/2026-09-16-audit/repeat.csv b/bench/groupby_shapes/results/2026-09-16-audit/repeat.csv
new file mode 100644
index 00000000..29f7e739
--- /dev/null
+++ b/bench/groupby_shapes/results/2026-09-16-audit/repeat.csv
@@ -0,0 +1,7 @@
+case,workers,binary,processes,cold_median_ms,cold_min_ms,cold_max_ms,warm_median_ms,warm_min_ms,warm_max_ms,peak_rss_kib
+binary,default,baseline,5,5.89175,5.44895,6.13455,2.34941,2.28711,2.39357,391496
+binary,default,current,5,5.78132,5.11199,6.49526,2.31598,2.29456,2.36222,391788
+clustered,default,baseline,5,2.91438,2.85804,2.92659,0.626003,0.58954,0.669892,368932
+clustered,default,current,5,2.82288,2.77178,2.91088,0.603448,0.579778,0.610024,368920
+symbol-key,default,baseline,5,0.585992,0.560579,0.597973,0.237495,0.222821,0.270357,364932
+symbol-key,default,current,5,0.586222,0.565357,0.602685,0.229149,0.211118,0.257872,364764
diff --git a/bench/groupby_shapes/scaling_common.py b/bench/groupby_shapes/scaling_common.py
new file mode 100644
index 00000000..1e5fc3c1
--- /dev/null
+++ b/bench/groupby_shapes/scaling_common.py
@@ -0,0 +1,36 @@
+"""Shared comparison and profile parsing for synthetic scaling benchmarks."""
+import csv
+import math
+import re
+
+
+def profile_phases(log):
+    return [dict(label=label, ms=float(value)) for label, value in
+            re.findall(r"✶\s+(.+): ([0-9.]+) ms", log)]
+
+
+def compare_csv(reference, current, schema, key_names=("k",)):
+    """Exact keys/types/nulls; round-trip floats with explicit tolerances."""
+    with schema.open(newline="") as stream:
+        kinds = {r["column"]: r["kind"] for r in csv.DictReader(stream)}
+    with reference.open(newline="") as a, current.open(newline="") as b:
+        left_reader, right_reader = csv.DictReader(a), csv.DictReader(b)
+        if left_reader.fieldnames != right_reader.fieldnames or left_reader.fieldnames != list(kinds):
+            raise RuntimeError("Result columns differ")
+        keys = [name for name in key_names if name in kinds]
+        key = lambda row: tuple(row[name] for name in keys)
+        # Canonicalize independently of engine sort/null tie behavior.
+        left, right = sorted(left_reader, key=key), sorted(right_reader, key=key)
+        if len(left) != len(right):
+            raise RuntimeError("Result row counts differ")
+        for row_number, (row, other) in enumerate(zip(left, right)):
+            if row_number and (key(row) == key(left[row_number - 1]) or key(other) == key(right[row_number - 1])):
+                raise RuntimeError("Duplicate output group key")
+            for name, value in row.items():
+                got = other[name]
+                if value == got:
+                    continue
+                if name in key_names or kinds[name] not in {"F32", "F64"} or not value or not got:
+                    raise RuntimeError(f"Result differs at row {row_number}, column {name}: {value!r} / {got!r}")
+                if not math.isclose(float(value), float(got), rel_tol=1e-9, abs_tol=1e-8):
+                    raise RuntimeError(f"Float differs at row {row_number}, column {name}: {value} / {got}")
diff --git a/bench/groupby_shapes/summarize_scaling.py b/bench/groupby_shapes/summarize_scaling.py
new file mode 100644
index 00000000..9e7809ce
--- /dev/null
+++ b/bench/groupby_shapes/summarize_scaling.py
@@ -0,0 +1,63 @@
+#!/usr/bin/env python3
+"""Summarize fresh-process grouping measurements without discarding outliers."""
+import argparse
+import csv
+import json
+from pathlib import Path
+import statistics
+
+
+def summarize(records):
+    groups = {}
+    for row in records:
+        groups.setdefault((row['case'], row['workers'], row['binary']), []).append(row)
+    for (case, workers, binary), rows in groups.items():
+        warm = [statistics.median(row['warm_ms']) for row in rows]
+        cold = [row['cold_ms'] for row in rows]
+        yield dict(case=case, workers=workers, binary=binary, processes=len(rows),
+                   cold_median_ms=statistics.median(cold), cold_min_ms=min(cold), cold_max_ms=max(cold),
+                   warm_median_ms=statistics.median(warm), warm_min_ms=min(warm), warm_max_ms=max(warm),
+                   peak_rss_kib=max(row['peak_rss_kib'] for row in rows))
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('input', type=Path)
+    parser.add_argument('output', type=Path)
+    parser.add_argument('--process-output', type=Path,
+                        help='also retain each process and all five warm timings')
+    args = parser.parse_args()
+    records = json.loads(args.input.read_text())
+    rows = list(summarize(records))
+    if not rows:
+        parser.error('no measurements')
+    with args.output.open('w', newline='') as stream:
+        writer = csv.DictWriter(stream, fieldnames=list(rows[0]), lineterminator="\n")
+        writer.writeheader()
+        writer.writerows(rows)
+    if args.process_output:
+        process_rows = []
+        for record in records:
+            row = {key: record[key] for key in (
+                'case', 'workers', 'binary', 'sha256', 'round', 'rows', 'groups',
+                'cold_ms', 'peak_rss_kib', 'result_sha256')}
+            row['warm_median_ms'] = statistics.median(record['warm_ms'])
+            row.update({f'warm_{i + 1}_ms': value for i, value in enumerate(record['warm_ms'])})
+            process_rows.append(row)
+        with args.process_output.open('w', newline='') as stream:
+            writer = csv.DictWriter(stream, fieldnames=list(process_rows[0]), lineterminator="\n")
+            writer.writeheader()
+            writer.writerows(process_rows)
+    pairs = {(row['case'], row['workers'], row['binary']): row for row in rows}
+    for row in rows:
+        old = pairs.get((row['case'], row['workers'], 'baseline'))
+        if row['binary'] != 'current' or not old:
+            continue
+        ratio = old['warm_median_ms'] / row['warm_median_ms']
+        print(f"{row['case']:24} {row['workers']:>7} "
+              f"{old['warm_median_ms']:9.3f} -> {row['warm_median_ms']:9.3f} ms "
+              f"({ratio:.2f}x; current process medians {row['warm_min_ms']:.3f}..{row['warm_max_ms']:.3f})")
+
+
+if __name__ == '__main__':
+    main()
diff --git a/bench/groupby_shapes/topk_consumer.c b/bench/groupby_shapes/topk_consumer.c
new file mode 100644
index 00000000..e09544c0
--- /dev/null
+++ b/bench/groupby_shapes/topk_consumer.c
@@ -0,0 +1,79 @@
+/* Direct indexed-consumer benchmark. The query language separately caps K at
+ * 1024; the internal kernel accepts larger K. Verify every result using an
+ * independent histogram, outside the timed interval. */
+#define _POSIX_C_SOURCE 200809L
+#include <rayforce.h>
+#include "ops/internal.h"
+#include "core/pool.h"
+#include "core/profile.h"
+#include <stdio.h>
+#include <stdlib.h>
+#include <time.h>
+#include <sys/resource.h>
+
+static double now_ms(void) {
+    struct timespec t;
+    clock_gettime(CLOCK_MONOTONIC, &t);
+    return t.tv_sec * 1000.0 + t.tv_nsec / 1000000.0;
+}
+static bool verify(ray_t* out, const int64_t* histogram, int64_t expected, bool desc) {
+    if (!out || RAY_IS_ERR(out) || out->type != RAY_LIST || out->len != 1) return false;
+    ray_t* cell = ray_list_get(out, 0);
+    if (!cell || cell->type != RAY_I64 || cell->len != expected) return false;
+    const int64_t* values = ray_data(cell);
+    int64_t at = 0;
+    for (int code = 0; code < 4096 && at < expected; code++) {
+        int value = desc ? 4095 - code : code;
+        for (int64_t i = 0; i < histogram[value] && at < expected; i++)
+            if (values[at++] != value) return false;
+    }
+    return at == expected;
+}
+int main(int argc, char** argv) {
+    if (argc != 3) { fprintf(stderr, "usage: topk-consumer ROWS K\n"); return 2; }
+    char *end_n, *end_k;
+    int64_t n = strtoll(argv[1], &end_n, 10), k = strtoll(argv[2], &end_k, 10);
+    if (*end_n || *end_k || n < 1 || n > INT32_MAX || k < 1 || k > INT32_MAX) return 2;
+    ray_runtime_t* runtime = ray_runtime_create(0, NULL);
+    if (!runtime) return 1;
+    const char* setting = getenv("RAYFORCE_CORES");
+    ray_pool_destroy();
+    if (ray_pool_init_total(setting ? (uint32_t)strtoul(setting, NULL, 10) : 0) != RAY_OK) return 1;
+    ray_t* src = ray_vec_new(RAY_I64, n);
+    int64_t* rows = ray_alloc_raw((size_t)n * sizeof(int64_t));
+    if (!src || RAY_IS_ERR(src) || !rows) return 1;
+    src->len = n; src->attrs |= RAY_ATTR_HAS_NULLS;
+    int64_t histogram[4096] = {0}, valid = 0, offset = 0;
+    for (int64_t i = 0; i < n; i++) {
+        int64_t value = i * 37 % 4096;
+        bool missing = i % 97 == 0;
+        ((int64_t*)ray_data(src))[i] = missing ? NULL_I64 : value;
+        if (!missing) { histogram[value]++; valid++; }
+        rows[i] = n - 1 - i;
+    }
+    double ms[6];
+    g_ray_profile.active = getenv("TOPK_PROFILE") != NULL;
+    for (unsigned run = 0; run < 6; run++) {
+        ray_profile_reset(); ray_profile_tick("topK: begin");
+        double begin = now_ms();
+        ray_t* top = ray_topk_per_group_buf(src, k, 1, rows, &offset, &n, 1);
+        ray_t* bot = ray_topk_per_group_buf(src, k, 0, rows, &offset, &n, 1);
+        ms[run] = now_ms() - begin;
+        if (g_ray_profile.active) {
+            for (int32_t i = 1; i < g_ray_profile.n; i++)
+                fprintf(stderr, "run=%u %s %.6f ms\n", run, g_ray_profile.spans[i].msg,
+                    (g_ray_profile.spans[i].ts - g_ray_profile.spans[i - 1].ts) / 1000000.0);
+        }
+        int64_t expected = k < valid ? k : valid;
+        if (!verify(top, histogram, expected, true) || !verify(bot, histogram, expected, false)) {
+            fprintf(stderr, "top/bottom K differs from histogram oracle\n"); return 1;
+        }
+        ray_release(top); ray_release(bot);
+    }
+    struct rusage usage;
+    getrusage(RUSAGE_SELF, &usage);
+    printf("{\"actual_workers\":%u,\"cold_ms\":%.6f,\"warm_ms\":[%.6f,%.6f,%.6f,%.6f,%.6f],\"peak_rss_kib\":%ld}\n",
+        ray_pool_total_workers(ray_pool_get()), ms[0], ms[1], ms[2], ms[3], ms[4], ms[5], usage.ru_maxrss);
+    ray_free_raw(rows); ray_release(src); ray_runtime_destroy(runtime);
+    return 0;
+}
diff --git a/bench/groupby_shapes/topk_scaling.py b/bench/groupby_shapes/topk_scaling.py
new file mode 100644
index 00000000..e9330f42
--- /dev/null
+++ b/bench/groupby_shapes/topk_scaling.py
@@ -0,0 +1,62 @@
+#!/usr/bin/env python3
+"""Compare indexed top/bottom-K kernels against an independent histogram oracle.
+
+Build each checkout with `make lib`, then compile topk_consumer.c against that
+checkout's librayforce.a, using -Iinclude -Isrc -lm -lpthread. This Linux harness
+reports ru_maxrss in KiB. Query-language K limits are not changed by this test.
+"""
+import argparse
+import hashlib
+import json
+import os
+from pathlib import Path
+import statistics
+import subprocess
+
+
+def main():
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('--binary', type=Path, required=True)
+    parser.add_argument('--baseline', type=Path, required=True)
+    parser.add_argument('--rows', type=int, default=4000003)
+    parser.add_argument('--ks', default='1024,65536,4000003')
+    parser.add_argument('--baseline-skip-ks', default='', help='K values with a recorded baseline correctness failure')
+    parser.add_argument('--workers', default='1,2,4,8,16,default')
+    parser.add_argument('--rounds', type=int, default=3)
+    parser.add_argument('--output', type=Path, required=True)
+    args = parser.parse_args()
+    ks, workers = [int(k) for k in args.ks.split(',')], args.workers.split(',')
+    if args.rows < 1 or args.rounds < 1 or any(k < 1 for k in ks):
+        parser.error('rows, rounds and K must be positive')
+    if any(w != 'default' and (not w.isdecimal() or int(w) < 1) for w in workers):
+        parser.error('workers must be positive or default')
+    baseline_skip = {int(k) for k in args.baseline_skip_ks.split(',') if k}
+    if baseline_skip - set(ks):
+        parser.error('baseline skip K must be in --ks')
+    binaries = [('baseline', args.baseline.resolve()), ('current', args.binary.resolve())]
+    hashes = {name: hashlib.sha256(path.read_bytes()).hexdigest() for name, path in binaries}
+    matrix = [(k, worker, name, path) for k in ks for worker in workers for name, path in binaries
+              if not (name == 'baseline' and k in baseline_skip)]
+    records = []
+    for round_number in range(1, args.rounds + 1):
+        for k, worker, name, path in matrix if round_number % 2 else reversed(matrix):
+            env = os.environ.copy()
+            env.pop('RAYFORCE_CORES', None)
+            if worker != 'default':
+                env['RAYFORCE_CORES'] = worker
+            run = subprocess.run([str(path), str(args.rows), str(k)], env=env,
+                                 capture_output=True, text=True, check=True)
+            result = json.loads(run.stdout)
+            if worker != 'default' and result['actual_workers'] != int(worker):
+                raise RuntimeError('worker setting was not honored')
+            result.update(case=f'topk-k{k}', workers=worker, binary=name,
+                          round=round_number, rows=args.rows, k=k, sha256=hashes[name])
+            records.append(result)
+            args.output.write_text(json.dumps(records, indent=2) + '\n')
+            print(f'{name} K={k} workers={worker} round={round_number}: '
+                  f'warm={statistics.median(result["warm_ms"]):.3f} ms', flush=True)
+    print(f'Histogram oracle matched all {len(records)} runs.')
+
+
+if __name__ == '__main__':
+    main()
diff --git a/docs/aggregation-fast-path-plan.md b/docs/aggregation-fast-path-plan.md
new file mode 100644
index 00000000..b57c7af0
--- /dev/null
+++ b/docs/aggregation-fast-path-plan.md
@@ -0,0 +1,379 @@
+# Query fast-path type coverage plan
+
+This records the original generic coverage requirements. Current scaling work
+is tracked in the [grouping engine plan](grouping-engine-scaling-plan.md).
+
+## Objective and scope
+
+Make efficient query execution cover the types and null semantics already
+supported by the language. A supported aggregate should not lose the optimized
+grouping engine merely because its input is I32, F32, or TIME. A query with
+several aggregates should not silently regress when one unsupported
+specialization is added.
+
+This census covers all 14 ordinary value kinds (BOOL, U8, I16, I32, I64, F32,
+F64, DATE, TIME, TIMESTAMP, GUID, SYM, STR, LIST) across grouped aggregation,
+group keys, and the adjacent count-distinct, predicate, top-k, sort, expression,
+and output-broadcast paths inspected below. It is not an exhaustive audit of
+joins, windows, graph operations, or every arithmetic operator.
+
+Compound/heterogeneous LIST values need an explicit generic strategy, not
+reinterpretation as fixed-width numeric data. Preserve deliberately invalid
+operations and resource limits. Do not remove a gate until all downstream
+readers, null checks, state merges, and output writers support its new cases.
+
+## Evidence
+
+### Runtime census
+
+[aggregation-type-census.csv](aggregation-type-census.csv) records 210 probes:
+14 input kinds × 15 unary operations, checking registry presence, scalar result
+type, and grouped result-column type. Four rows, two integer-key groups, one
+execution core; linked against the baseline release objects. Primitive fixtures
+contain 1,2,3,4 (BOOL casts to true); SYM/STR contain b,a,b,c; GUID uses four
+generated GUIDs; LIST contains four boxed integers. F32 was constructed with
+a query projection cast because the eval-level F32 cast is not supported.
+Actual fixture types were checked before the probes.
+
+These probes establish availability and output types, not value correctness,
+parallel routing, null behavior, or performance. `ERROR` is an observed error,
+not automatically a bug. The operation spellings include `var_pop` and
+`stddev_pop`. Binary aggregates and parameterized aggregates were inspected in
+source, but are not represented by this CSV.
+
+## Coverage census
+
+### A. Aggregate registry
+
+Source: `src/ops/agg_stream.c:agg_resolve`, with admission in
+`src/ops/agg_engine.c:agg_v2_can_handle`.
+
+| ID | Operation family | Registered at baseline | Coverage planned |
+|---|---|---|---|
+| A1 | sum | I64, F64 | BOOL/U8/I16/I32/F32 and TIME |
+| A2 | min/max | I64, F64 | BOOL/U8/I16/I32/F32; DATE/TIME/TIMESTAMP; SYM/STR/GUID |
+| A3 | avg | F64 | BOOL/U8/I16/I32/I64/F32 and DATE/TIME/TIMESTAMP |
+| A4 | var/var_pop/stddev/stddev_pop | I64, F64 | BOOL/U8/I16/I32/F32 and DATE/TIME/TIMESTAMP |
+| A5 | first/last | none | All supported scalar kinds; explicit handling for boxed LIST |
+| A6 | prod | none | Numeric inputs, including F32; preserve temporal rejection |
+| A7 | all/any | BOOL/U8/I16/I32/I64/F64 | F32; homogeneous boxed input only through a safe generic path |
+| A8 | pearson/cov/scov/wsum/wavg | BOOL/U8/I16/I32/I64/F64 inputs | F32, including mixed input pairs; verify each operation's scalar type contract before considering temporals |
+| A9 | med, top/bottom K | I64/F64 buffered vtables | Other supported types; buffered admission and memory strategy also required |
+| A10 | quantile/percentile, mode | none | Dedicated state/parameter contracts for their existing supported types |
+| A11 | count | Type-independent | Preserve count-all-rows behavior; registry presence does not imply key-path admission |
+
+Important distinctions:
+
+- A missing registration is not always the only blocker: `agg_v2_can_handle`
+  currently rejects non-streaming vtables, including the registered med/top-K
+  vtables. The expression adapter repeats admission restrictions.
+- Missing any one required vtable can send the entire grouped query to legacy
+  execution. Test mixed queries, not just one aggregate at a time.
+- SUM(DATE/TIMESTAMP), PROD(temporals), and ALL/ANY(temporals) remain invalid.
+  Do not infer legality from an identical storage width.
+- On these runtime probes, F32 reductions returned F64, including min/max and
+  first/last. Preserve current behavior until a separate semantic decision is
+  made; do not assume every extreme must return its input type.
+- Narrow integer and temporal extremes retain their logical types; TIME sum
+  returns TIME. Integer sums/products return I64, and means/statistics return F64.
+- Scalar med(BOOL/F32) succeeds but grouped med(BOOL/F32) errors on the fixture.
+  Treat these as correctness investigations in the first work package, before
+  attempting to use grouped legacy execution as an oracle for those cells.
+- The LIST fixture contains only numbers. It establishes no contract for
+  arbitrary mixed objects, nesting, or null cells.
+
+### B. Keys, nullability, and strategy selection
+
+| ID | Gap | Evidence and required work |
+|---|---|---|
+| K1 | Nullable integer/temporal keys lose v2 dense and radix | `agg_dense_plan`, `agg_dense_plan_sel`, and `exec_group_v2_run` reject may-have-null metadata for non-SYM keys. Add explicit null-key representation in dense/radix plans. |
+| K2 | Float, GUID, STR, LIST keys cannot enter v2 | `agg_v2_can_handle` admits integer/temporal/SYM only. Some lower helpers/comments mention STR/F64 fallback, but they do not constitute an end-to-end supported route. Add typed hash/equality/gather support before admission. |
+| K3 | Generic parallel hash overallocates | `exec_group_v2_parallel` allocates each worker for input-sized group/state capacity and a hash table sized from total rows. Bound memory as key support expands; avoid O(workers × input) slabs. |
+| K4 | Legacy alternatives have narrower aggregate support | Legacy direct-insert accepts COUNT/SUM/AVG only, and nullable inputs are declined; legacy dense/sparse key gates also reject nullable non-SYM. Prefer a complete v2 route over duplicating every new kernel in legacy code. |
+
+K1 is necessary for nullable temporal grouping: merely registering MIN(TIME) can move the
+query to a different expensive fallback. Nullable signed integer sentinels may
+be used in a proven canonical representation; null must remain distinct from
+zero and ordinary extreme values. Dense planning must exclude null from min/max
+range estimation and budget a separate null slot. Composite keys need a null
+identity per component. BOOL/U8 vectors are non-nullable in this revision;
+do not invent a null bitmap contract for them.
+
+For floats, grouping must canonicalize signed zero and null/NaN consistently
+with existing equality and distinct semantics. For symbols, preserve adaptive
+width and dictionary domains. STR/GUID need full values or stable row references,
+never truncation to an int64. Generic LIST keys retain deep equality semantics.
+
+### C. Related query fast paths
+
+| ID | Confirmed coverage restriction | Source |
+|---|---|---|
+| Q1 | Fused count-distinct accepts I16/I32/I64/SYM only; omits BOOL/U8/temporals and floats/wide types | `cdfuse.c:cdf_type_ok`; caller's two-stage rewrite admits more integer/temporal types |
+| Q2 | SYM fused count-distinct is unreachable through its null gate | `ray_cd_fused` rejects `ray_vec_may_have_nulls`, which always returns true for SYM; the outer rewrite uses the exact null test instead |
+| Q3 | Fused predicates omit F32/F64, GUID, ordinary non-dictionary STR comparisons; nullable numeric/temporal columns are declined | `fused_pred.c:fp_atom_col_compatible`, predicate admission and `fp_col_supported_op` |
+| Q4 | Fused filter + top-k sort keys omit F32/F64 and GUID | `fused_topk.c:ray_fused_topk_select` type gate; predicate support is a separate gate |
+| Q5 | Composite radix sort excludes F32 when there is more than one sort key | `sort.c:sort_indices_ex`, `t == RAY_F32 && n_cols != 1` |
+| Q6 | Typed literal broadcasts omit F32/GUID/STR | `query.c:can_atom_broadcast`, `atom_broadcast_vec`; fallback allocates per-group cells |
+| Q7 | Query numeric admission omits F32 while lower expression code admits it for pow | `query.c:dag_numeric_type_admitted` / `dag_pow_type_admitted` vs `expr.c:ew_pow_type_admitted` |
+| Q8 | Temporal arithmetic inside aggregate expressions forces eval | `query.c:expr_contains_temporal_arith`, `is_group_dag_agg_expr_dag_safe`; a semantic guard for units and result types, not a safe gate-only change |
+
+Wide STR/GUID sort already has rank/comparison alternatives; calling that
+fallback does not establish that it is slow. Benchmark before replacing it.
+Similarly, Q3 gates protect null comparisons and temporal conversions. Reuse
+the existing comparison contract (including null ordering), not SQL-style
+assumptions about null predicates.
+
+Q1/Q2 changes must preserve `(count (distinct x))`, including how null contributes
+to distinct, rather than adopting SQL COUNT(DISTINCT) semantics. An exact
+null-free scan can restore SYM admission initially, but measure its cost; a
+null-capable canonical code kernel is the eventual route.
+
+## Implementation sequence
+
+Each work package should be reviewable and leave fallback execution correct.
+The order below is the intended delivery order; dependencies are explicit.
+
+### P0 — Lock semantic contracts and expose routing
+
+Covers all IDs; prerequisite for new admission.
+
+1. Turn the census into maintained, table-driven contract cases in
+   `test/test_agg_registry.c`, `test/test_agg_engine.c`, and Rayfall query tests.
+   Separate language legality, result type, registry support, and strategy
+   support. Include scalar and grouped values, not only availability.
+2. Resolve the BOOL/F32 grouped-med discrepancies with minimal reproducers and
+   explicit expected semantics. Check scalar/grouped F32 return-type behavior
+   across filtered, unfiltered, serial, parallel, and persisted inputs.
+3. Add test-visible strategy counters or a diagnostic record: admitted engine,
+   chosen strategy, and decline reason (unsupported input/output type,
+   nullable key, buffered aggregate, expression, resource budget). Integrate
+   optional profiler reporting without adding work inside hot row loops.
+4. Expand fixtures to every legal op/type cell, binary mixed-type pairs, and
+   parameterized aggregates. Track intentional rejection cells explicitly.
+
+Acceptance: tests can prove that the intended fast path ran; an equal answer
+from fallback alone cannot satisfy a fast-path regression test.
+
+### P1 — Complete typed accumulator plumbing
+
+Covers prerequisites for A1–A10 and K2. Depends on P0.
+
+- Extend `agg_acc.h` validity to F32; its current switch handles F64 NaN and
+  signed sentinels, but defaults other types to valid. Resolve slice validity
+  once per batch. Keep a no-null loop selected outside the row loop.
+- Introduce typed input readers/kernels; do not alias TIME/I32/F32 to an I64
+  pointer. Centralize logical result type and accumulator storage type as
+  distinct concepts.
+- Replace both `agg_put_cell` and `agg_put_cell_value`: today every non-F64
+  scalar output is written as int64. That would overwrite narrow output
+  buffers if new narrow/temporal registrations were simply enabled.
+- Keep parallel payload writes disjoint and merge null metadata after workers
+  finish. Audit serial, dense, generic hash, radix, and partition emitters.
+- Prepare a source-column/row context for value-preserving extrema and ordered
+  aggregates. The existing vtable has no source-row parameter in update_batch;
+  parallel first/last needs original row identity, including filtered input.
+- Support native-width bulk finalization where useful to avoid allocating one
+  temporary scalar per output group. Keep ownership and OOM cleanup explicit.
+
+Acceptance: width-safe output under ASan/UBSan; typed nulls and domain/owner
+lifetimes correct; no new registration enabled before its full pipeline works.
+
+### P2 — Numeric and temporal streaming coverage
+
+Covers A1–A4, A6–A8. Depends on P1.
+
+- Generate or share typed sum/min/max/avg/prod/statistics loops for every legal
+  numeric/temporal cell in section A. Add F32 boolean and binary statistics
+  readers and mixed-pair dispatch; retain temporal legality checks per op.
+- Preserve unsigned-wrap integer reduction behavior, float normalization,
+  zero/empty identities, all-null results, and sample/population distinctions.
+  Do not combine this change with a new statistical algorithm or precision policy.
+- Admit the same capabilities in plain-column and materialized-expression
+  adapters. Route mixed aggregate sets together where the engine supports all
+  states. Ensure COUNT still counts input rows, including null values.
+
+Acceptance: full op/type value parity, exact result types, boundary integers
+above 2^53 for integer extrema, and no regression for existing I64/F64 kernels.
+
+### P3 — Nullable keys and bounded grouping memory
+
+Covers K1/K3/K4. Depends on P1; combine with P2 for nullable-key acceptance.
+
+- Add null-aware dense slot mapping and radix key encoding, including selected
+  rows, all-null columns, composite keys, and null-preserving key emission.
+- Use byte-aware, overflow-safe memory budgets for worker slabs and scatter
+  buffers. Grow generic hash tables with observed groups or partition input
+  so each worker does not reserve total-input capacity.
+- Retain sparse-range and excessive-domain fallback; never allocate a dense
+  array spanning a signed null sentinel to the largest real key.
+- Benchmark dense vs radix using actual range/cardinality and worker count.
+  Do not optimize a particular workload by an unconditional dispatch override.
+- Leave legacy as a correctness fallback. Only extend its direct-insert merge
+  operations if profiling shows a remaining workload that v2 cannot address.
+
+Acceptance: Nullable-key MIN(TIME) uses an efficient null-aware route and improves
+repeatably against the same-machine baseline, with identical typed results and
+reported scratch/RSS. No hardcoded claimed speedup before measurement.
+
+### P4 — Ordered and wide-value aggregates
+
+Covers A2/A5 and the scalar-value part of A9/A10. Depends on P1/P2.
+
+- Add first/last using source-row position, not worker merge order. Match the
+  established skip-null semantics. Preserve original row positions through
+  selection compaction, radix scatter, expression materialization, and partitions.
+- Add SYM/STR/GUID min/max with existing comparators. SYM order is lexical by
+  domain strings, not intern-code order. Use winning row references for wide
+  values and gather after merging; retain source owners until emit completes.
+- Handle LIST first/last and comparable extremes through explicit value/row
+  semantics. Do not specialize heterogeneous arithmetic by guessing from one row.
+
+Acceptance: correct results across shuffled worker completion, cross-partition
+groups, multiple SYM domains/widths, pooled strings, GUIDs, and null-only groups.
+
+### P5 — Float and wide grouping keys
+
+Covers K2. Depends on P3/P4's key/value utilities.
+
+- Add F32/F64 canonical hash/equality, then GUID and STR key strategies; use
+  dictionary codes for STR only with a valid domain and matching equality.
+- Replace integer-only tuple readers in every newly admitted path. Direct
+  int64 interpretation of F64 or truncation of GUID/STR is not an implementation.
+- Allow LIST keys through a bounded generic grouping strategy that can share
+  typed aggregation where legal. Preserve deep comparison and ownership.
+- Handle composite keys and selections at the same time as single keys; keep
+  existing supported key-count limits explicit and consistent.
+
+Acceptance: grouping/distinct parity for ±0, canonical/noncanonical NaNs,
+nulls, duplicate wide values, and composite keys, with bounded memory.
+
+### P6 — Buffered and parameterized aggregates
+
+Covers A9/A10. Depends on P0/P1/P3/P4.
+
+- Add missing typed med/top-K/bottom-K kernels and quantile/mode capabilities
+  only for existing legal input types. Define parameter forwarding once,
+  including quantile probability, K, ties, empty groups, and null handling.
+- Replace the blanket streaming-only admission with strategy-specific support:
+  buffered state requires a proven memory plan. The existing serial driver and
+  streaming guards cannot simply be bypassed for large data.
+- Share group IDs/row slices for mixed streaming and holistic aggregates where
+  practical; avoid regrouping the same input once per unsupported aggregate.
+- Give buffered state complete merge/destruction/OOM/cancellation behavior.
+  Consider bounded top-K storage rather than retaining every row by default.
+
+Acceptance: all supported input types have an explicit optimized or bounded
+generic route, and large-group med/top-K cannot multiply memory by worker count.
+
+### P7 — Count-distinct coverage
+
+Covers Q1/Q2. Depends on P0/P3; float/wide extensions depend on P5.
+
+- Restore reachable SYM specialization with correct null handling.
+- Add BOOL/U8/DATE/TIME/TIMESTAMP, then float and wide representations using
+  the shared key contracts. Align the rewrite and kernel admission predicates.
+- Preserve the 16-byte composite packing limit of the current rewrite until
+  a different representation is implemented; do not just widen the type gate.
+- Cover nullable group keys and nullable distinct values independently.
+
+Acceptance: dispatch tests for SYM and temporals, value parity including null
+distinctness, and end-to-end timings including any admission prescan.
+
+### P8 — Predicates, top-k, and sort
+
+Covers Q3–Q5. Depends on P0 and shared comparison/key contracts from P5.
+
+- Add F32/F64 fused comparison operands and constants with correct mixed numeric
+  comparison, NaN/null semantics, and precision for large integer constants.
+- Add nullable numeric/temporal predicate evaluation; preserve exact temporal
+  type/unit compatibility unless explicit conversion is compiled.
+- Add GUID equality/order and ordinary STR comparisons where reusable kernels
+  make them worthwhile. Preserve existing SYM/STR equality semantics.
+- Add float/GUID top-k sort keys with existing ordering/null/tie contracts;
+  share comparator semantics with the general sorter.
+- Enable composite F32 radix sorting using a proven float sort-key transform.
+  Benchmark existing rank fallback before attempting a new wide-key radix path.
+
+Acceptance: fused/unfused differential values and row ordering under ascending,
+descending, ties, nulls, ±0 and NaNs; large-input dispatch assertions.
+
+### P9 — Expression admission and output construction
+
+Covers Q6–Q8. Depends on P0/P1; temporal aggregate integration depends on P2.
+
+- Add F32/GUID/STR broadcasts, with proper STR pool/GUID representation and
+  null metadata. For LIST output, retain explicit per-cell ownership semantics.
+- Reconcile F32 query numeric admission with the lower expression executor
+  operation by operation. Preserve promotion and rounding, not just pow output.
+- Compile legal temporal arithmetic with explicit unit conversion and logical
+  result type before allowing it inside fused aggregate expressions. Keep
+  semantically invalid temporal combinations rejected.
+- Replace duplicated capability lists where practical with operation-specific
+  helpers shared by admission and execution. Do not introduce one overly broad
+  `is_numeric` predicate for operations with different contracts.
+
+Acceptance: adding an F32 expression or typed literal to a grouped query does
+not unexpectedly trigger per-group evaluation or boxed output construction.
+
+### P10 — Regression and performance closure
+
+Depends on all work packages. Each preceding package also runs its own checks.
+
+- Retire a legacy restriction only after its relevant cases have parity and
+  dispatch coverage. Keep documented generic fallbacks for heterogeneous data
+  and genuinely unsupported strategy shapes.
+- Run the complete C/Rayfall suite (`make test`), relevant sanitizer checks,
+  and targeted race checks for new parallel writers/state merges. Build the
+  release binary for timings; never benchmark the sanitizer binary.
+- Update the census with result semantics and reachable optimized strategies,
+  and record accepted intentional fallbacks rather than leaving silent holes.
+
+## Validation matrix and performance protocol
+
+Every newly admitted op/type cell needs both correctness and path evidence.
+Use table-driven semantic tests and selected cross-products, not a huge set of
+tests that merely repeats each switch case.
+
+| Dimension | Required cases |
+|---|---|
+| Values | empty, singleton, all-null where representable, mixed nulls, zero, extremes, overflow, NaN normalization, values above 2^53 |
+| Layout | owned vectors, nonzero-offset slices, gathered/filtered inputs, mapped/splayed columns, empty and nonempty partitions |
+| Groups | one, low cardinality/dense range, sparse range, high cardinality, all unique, skewed, composite, null keys vs zero keys |
+| Parallelism | one core, a fixed multi-core count, automatic pool; groups crossing morsels and partitions |
+| Query shape | scalar, grouped, multiple mixed aggregates, WHERE selections, aggregate expressions, sort/take and literals |
+| Metadata | BOOL/U8 non-nullability, SYM W8/W16/W32/W64 and domains, STR owners/pools, typed null propagation |
+| Failures | bounded allocation failure, cancellation, partial accumulator initialization, fallback cleanup |
+
+Compare optimized results to established scalar operations per group where
+their semantics agree, plus hand-calculated edge cases. Retain order-aware
+oracles for first/last and sort/take. Use tolerances only for floating reductions
+where reduction order permits them; integer/temporal extrema must be exact.
+
+Performance fixtures:
+
+1. Deterministic synthetic fixtures with nullable I32 keys and TIME values,
+   varying row counts, cardinalities and skew.
+2. Same workload with I16/I32/I64/F32/F64/TIME/TIMESTAMP value columns and legal
+   aggregates, nullable and null-free variants. Measure mixed aggregates too.
+3. Low/high-cardinality SYM count-distinct, temporal count-distinct, float
+   filter+top-k, composite F32 sort, and high-group-count literal broadcasts.
+4. Existing representative I64/F64 workloads and tiny queries to catch added
+   planning/prescan overhead; wide-key cases to validate fallback economics.
+
+Run before/after binaries sequentially in alternating order with identical
+core count, data, build flags and CPU conditions. Report warm median and spread,
+cold allocation separately, phase times, scratch high-water mark/RSS and chosen
+strategy. Include input conversion and admission scans in end-to-end query cost.
+Agree per-workload regression tolerances from measured baseline variance; do
+not use a universal nanosecond threshold in unit tests.
+
+## Completion criteria
+
+- Every census gap A1–A11, K1–K4 and Q1–Q8 is mapped to an implemented route or
+  an explicit, justified generic/rejected case with tests.
+- Nullable-key temporal grouping gains a measured improvement from an efficient nullable-key temporal
+  aggregation route, with exact result/null/type parity.
+- No new admission can reach an incompatible reader, emitter, validity check,
+  or unordered merge implementation.
+- The suite checks fast-path reachability, so future type additions cannot
+  silently pass correctness tests by dropping back to a slower engine.
diff --git a/docs/aggregation-fast-path-results.md b/docs/aggregation-fast-path-results.md
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+# Aggregation and query type coverage
+
+This records earlier type-coverage work. Current implementation and validation
+are tracked in the [grouping engine plan](grouping-engine-scaling-plan.md) and
+[results report](grouping-engine-scaling-results.md).
+
+## Implemented coverage
+
+| Plan | Gaps | Final implementation |
+|---|---|---|
+| P1 | Plumbing for A1–A10 | Native input widths, F32 NaN validity, type-correct scalar writes, disjoint parallel payload writes with null metadata merged afterward. Native extrema emission avoids temporary atoms. Stable source row indices retain column/domain ownership for ordered and wide values. |
+| P2 | A1–A4, A6–A8, A11 | Streaming sum/min/max/avg/product/statistics across legal numeric/temporal types. F32 truth and mixed binary statistics. COUNT counts every row, including nulls. DATE/TIMESTAMP sum and temporal product/truth remain illegal. |
+| P3 | K1, K3, K4 | Nullable dense mapping reserves a null slot without spanning the sentinel; selected/composite/all-null keys use the same mapping. Signed radix keys preserve nulls. Dense worker/global slabs have allocation and sampled traffic budgets; setup, merge and scalar emission are parallel. Removed full-input-per-worker generic hash allocation. |
+| P4 | A2, A5 | First/last use stable original-row order, including selections; wide extrema use source rows and existing comparators. SYM extrema compare domain strings. LIST first/last retain selected values. |
+| P5 | K2 | Canonical float hashing/equality, GUID bytes, STR bytes and structural LIST grouping. Small/ordered/buffered shapes use one shared index layout. Plain LIST-key aggregate queries, including composite keys, reach it through `select`. Large float/GUID/STR streaming shapes with up to eight keys use the existing parallel wide-key engine. |
+| P6 | A9, A10 | Shared group IDs and stable row slices for median, quantile, mode, top/bottom-K, ordered/wide and mixed streaming aggregates. Wide/F32 top-K stores at most K row indices. Existing typed numeric heaps and rank helpers remain shared. |
+| P7 | Q1, Q2 | Fused exact count-distinct accepts nullable BOOL/U8/signed/temporal/SYM/F32/F64 pairs. SYM is reachable despite conservative null metadata. F32 generic exact counting widens losslessly once to reuse F64 dedupe. |
+| P8 | Q3–Q5 | F32/F64, nullable numeric/temporal, GUID and ordinary STR fused comparisons. Float/GUID filter/top-k sorting. Composite F32 sorts reuse the tested single-column float transform and radix-compose ranks. |
+| P9 | Q6–Q8 | Typed F32/GUID/STR broadcasts, F32 numeric/pow admission, and one-time materialization of pure temporal arithmetic through unit-aware operations before typed aggregation. |
+
+The [census](aggregation-type-census.csv) preserves the original 210 observations
+and adds current streaming registration and grouped route columns. Registry
+presence and query strategy are different: holistic/ordered operations use row
+indices instead of streaming accumulator states.
+
+## Explicit generic and rejected cases
+
+- Heterogeneous LIST arithmetic/extrema/rank operations retain dynamic value
+  evaluation. No inference from the first element selects a fixed-width kernel.
+  Structural LIST keys and LIST first/last have a bounded shared-index route.
+- GUID/STR/LIST count-distinct uses exact generic dedupe. The packed count-distinct
+  rewrite still requires total key/value width at most 16 bytes; wide values
+  are not truncated or interpreted as integers.
+- Large float/wide streaming keys retain the established parallel implementation.
+  On one million rows, moving these to serial index grouping regressed STR and
+  F32 key workloads by about 3x. Admission now reports `parallel wide-key strategy`.
+  Shapes needing ordered/buffered states, LIST keys, and more than eight keys
+  use the bounded index route.
+- Nullable LIKE/IN, SYM ordering predicates, and cross-unit temporal comparisons
+  retain their existing evaluators. The new fused comparison leg covers the six
+  scalar comparison operators; it does not silently extend other evaluators.
+- Raw temporal DAG arithmetic stays guarded. Pure `+`, `-`, and `*` expressions
+  are materialized once using existing unit/promotion rules. Other expressions,
+  side-effecting calls, and unsupported partition shapes retain existing evaluation.
+- Eval-level `as 'F32` remains outside this change's language surface. F32 test
+  and benchmark fixtures use the existing query projection cast or C constructors.
diff --git a/docs/grouping-engine-scaling-plan.md b/docs/grouping-engine-scaling-plan.md
new file mode 100644
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+# Grouping engine scaling plan
+
+Status: implementation and local acceptance are complete at `f61a4eda`.
+The feature is ready for PR review into `dev`; required CI checks gate merging.
+This extends the type-coverage plan.
+
+Acceptance compares immutable release binaries with identical generated inputs.
+The rebased ASan/UBSan suite passes 3,828/3,828 tests. Current measurements
+and reproducible commands are in [the results report](grouping-engine-scaling-results.md).
+
+## Objective
+
+Remove avoidable grouping, allocation, synchronization, and merge overhead for
+all supported grouped aggregate families. Preserve types, nulls, ordering,
+overflow behavior, symbol domains, and cancellation. This work covers grouping
+and its query integration, not unrelated joins, CSV parsing, or sorting queries.
+
+Equal latency across aggregates is not an acceptance criterion. Sum consumes
+every valid value; extrema can avoid updates; exact median and distinct need
+additional data structures. Each family needs its own baseline and scaling proof.
+
+## Implementation and evidence
+
+| Family / shape | Execution | Completed evidence |
+|---|---|---|
+| BOOL/U8/I16/I32/DATE/TIME min/max, eligible dense single key | Shared state through explicit concurrent-update capability | Native/null contracts; adversarial value order and dominant-key cases at every worker count |
+| Numeric sums, count, average, statistics, product, boolean and binary reductions | Bounded partitioned or task-local dense states; native scalar output | Registry-wide writer contracts, independent arithmetic oracles and separate family timings |
+| I64/TIMESTAMP/F32/F64 extrema | Partitioned dense | Native-width, null and non-finite contracts; repeated worker sweep |
+| Selected and composite dense keys | Deduplicated native payload and shared source-row indices | Selected-row identity, empty selection and composite/mixed contracts; worker sweep |
+| Sparse integer/temporal/SYM keys | Radix | Sparse/skew/null matrix; phase profiles and memory measurements |
+| Float, STR, GUID and LIST keys | Shared parallel directory with complete equality and deterministic first-row IDs | Full-value/canonicalization oracles, race checks and repeated worker sweep |
+| First/last, wide extrema, median, quantile, mode, top/bottom K | Shared stable row slices, row-balanced groups and dominant-group splitting | Independent order/rank/frequency oracles; 90 internal K runs; dominant-group worker sweep |
+| Count-distinct | Pair-hash partitioning and parallel stable output ordering | Native/wide value and ordering oracles; repeated worker sweep |
+| Mixed streaming/indexed aggregates and expressions | Shared groups and stable row slices | Independent mixed contracts and repeated worker sweep |
+
+The [results report](grouping-engine-scaling-results.md) links the complete
+900-configuration summary, all 2,700 process records, phase investigations and
+regression repeats. Baseline failures receive no speedup claim. Measured cold
+setup and bounded-memory tradeoffs remain explicit.
+
+## Work-package status
+
+| Package | Status | Evidence |
+|---|---|---|
+| G0 — Baseline and census | Complete | Immutable baseline/candidate hashes; 77 cases and 2,700 typed process comparisons; complete timings and peak RSS |
+| G1 — Dense streaming | Complete | All streaming writers, unary/binary/mixed contracts, bounded state budget tests, dense route profiles and worker matrix |
+| G2 — Shared key layouts | Complete | Selection/composite/sparse/wide-key oracles and full worker matrix; shared stable row indices |
+| G3 — Ordered and distinct consumers | Complete | Dominant-group worker matrix, exact rank/order/frequency tests and 90 top/bottom-K histogram checks |
+| G4 — Acceptance and delivery | Local acceptance complete; ready for PR review | ASan/UBSan 3,828/3,828, TSan 24/24 at four total threads, 2,700 synthetic runs, 90 kernel oracles, 130 regression repeats and 68 profiles; immutable release and privacy checks |
+
+## Work packages, in dependency order
+
+### G0 — Reproducible baseline and coverage census
+
+1. Preserve release at bb81e621 and current release separately; record revisions
+   and worker settings. Unit-test builds must not replace benchmark binaries.
+2. Cover aggregate families with reproducible synthetic fixtures and typed
+   result comparisons. Keep native temporal extrema as a control.
+3. Measure temporal and integer sums, count, average, variance, wide extrema,
+   binary reductions, and mixed queries independently. Record cold execution
+   separately from five warm executions in each fresh process.
+4. Add synthetic fixtures for native widths, nulls, uniform/clustered/skewed
+   keys, low/high cardinality, sparse ranges, selection and composite keys.
+5. Record actual route and fallback reason alongside phase profiles. Unsupported
+   operation/type pairs remain explicit errors, not artificial fast-path goals.
+
+Exit: a coverage ledger with baseline, current route, correctness oracle and
+worker sweep for every family above. Complete: 77 synthetic cases, six worker
+settings and three rounds; immutable binary hashes accompany the process records.
+
+### G1 — Close the dense streaming refactor
+
+1. Measure histogram, scatter, reduction, partial merge and output separately
+   for sum/count/statistics, not just shared extrema.
+2. Reduce duplicated input fields and state traffic where profiles justify it.
+3. Tune partition tasks using work and state size, with bounded split storage;
+   validate a dominant null key and a dominant non-null key.
+4. Keep strategy choice capability-driven. Add shared updates only where safe
+   and measured; contended atomic sums are not an automatic replacement.
+5. Check default uses all logical CPUs; distinguish pool size from bounded tasks.
+
+Exit: correct unary, binary and mixed streaming results; repeated synthetic
+8/default scaling measurements for min, sum, count and statistics. Investigate
+flat scaling to the responsible phase before declaring this package complete.
+
+### G2 — Share grouping across selections and key shapes
+
+1. Profile selected/composite task-local replication and sparse radix traffic.
+2. Extend partition ownership to selected/composite keys where a bounded plan
+   wins, preserving stable row identity for ordered aggregates.
+3. Reuse one group-ID/index layout across all aggregates in a query.
+4. Parallelize wide-key grouping stages that remain serial; preserve complete
+   string/GUID values, symbol domains and float canonicalization.
+
+Exit: correctness and scaling matrix for selection, composite, sparse and wide
+keys, including empty selection and all-null keys; no O(workers × rows) state.
+
+### G3 — Ordered, buffered and distinct consumers
+
+1. Isolate count-distinct regression before changing its implementation.
+2. Schedule independent indexed groups by estimated rows/work, rather than
+   equal group counts. Measure dominant-group behavior explicitly.
+3. Use mergeable bounded state where the operation permits it; preserve stable
+   first/last semantics and exact median/quantile/distinct results.
+4. Bound peak memory including index layouts, scatter and retained values.
+5. Test mixed streaming/indexed queries so one consumer does not rebuild groups
+   or cause a hidden whole-query performance cliff.
+
+Exit: family-specific speedup evidence, correctness oracles, and bounded-memory
+checks. An algorithmic lower bound must be distinguished from avoidable serial
+engine work with profiles; documentation alone does not close a measured defect.
+
+### G4 — Acceptance and delivery
+
+- Run saved baseline and candidate sequentially, alternating order, at
+  1/2/4/8/16/default workers, at least three fresh processes per case.
+- Report per-process cold time, warm median and range, plus peak RSS. Retain
+  outliers; do not describe small noisy differences as scaling.
+- Compare sorted typed results exactly for integer and ordered outputs. For
+  floating reductions, compare keys/types/nulls exactly and values against an
+  independent oracle with operation-specific absolute/relative tolerances;
+  parallel reassociation may change low bits.
+- Investigate repeatable regressions over 5%; accept neither noise-based
+  speedup claims nor an unexplained slowdown as completion.
+- Run complete ASan/UBSan suite and relevant TSan tests after functional edits.
+- Review diff and commit the feature branch; rebuild release with committed
+  revision and rerun synthetic min/sum controls on the delivered binary. Push
+  `perf/grouping-engine-scaling` and open a PR into `dev` after acceptance.
+
+Completion requires all packages above to have evidence and explicit status.
+The current min(time) result and passing tests do not close the whole plan.
+
+## Implemented changes
+
+- Native-width payload scatter and shared input-field deduplication.
+- Bounded dense state allocation, task-local initialization, and parallel output.
+- Capability-driven shared extrema and row-balanced partition reduction.
+- Shared parallel key directory with full float, string, GUID and LIST equality.
+- Stable row slices reused by mixed streaming and indexed consumers.
+- Row-weighted ordered/wide consumers and exact dominant-group rank selection.
+- Row-split winner selection, bounded partial top/bottom-K heaps, and exact
+  partitioned mode frequencies with bounded local preaggregation.
+- Parallel native result gathering and adaptive-width symbol slice offsets.
+- Bounded exact distinct preaggregation and parallel stable output ordering.
+- Domain-aware symbol read views during immutable worker phases.
+- Typed empty output columns and corrected wide distinct admission.
+
+Full ASan/UBSan validation passes 3,828/3,828 tests; targeted TSan passes 24/24.
+The complete synthetic acceptance and regression investigations are recorded in
+the results report. Integration is gated by the required PR checks.
+
+## Dominant-group execution stages
+
+Assigning a whole group to one worker leaves a single large group serial even
+when grouping itself scales. Consumer scheduling therefore considers rows
+within groups as well as independent groups:
+
+- First/last and wide extrema select candidates from contiguous row chunks and
+  merge them in original index order. For extrema, null-only chunks contribute
+  no candidate.
+- Small top/bottom K uses one bounded heap per source chunk, then selects from
+  their union. Larger candidate sets merge in parallel. Large K first uses
+  exact three-way selection, then sorts only the retained K rows and merges
+  their sorted chunks. Each merge is split by output rank, including the final
+  pair. Two row-index buffers bound scratch storage by input rows rather than
+  workers times K. Partially filled serial heaps are heapified before sorting.
+- Mode locally combines exact value counts in a fixed-size table, partitions
+  partial counts by full value hash, and reduces partitions independently.
+  Equality checks resolve hash collisions. Counts carry the earliest original
+  position, preserving ties even when source-row indices are reordered.
+- Median and quantile use exact parallel rank selection within large groups.
+  Splitting uses the common parallel grain and the per-worker row share, so a
+  few medium-sized groups can also use the pool. Histogram oracles cover the
+  grain boundary, medium groups and dominant groups.
+- Native output gathering writes disjoint result payload ranges and publishes
+  null metadata after workers finish.
+
+All stages are query-local. No previously computed query answers are retained.
+The synthetic matrix includes single-group first/last, symbol/string extrema,
+numeric/string mode, and numeric/string/symbol top/bottom K. Independent tests
+also cover temporal and narrow native widths, null-only and empty groups,
+frequency ties, reordered row indices, and local frequency-table flushing.
+
+The grouped query compiler currently accepts K from 1 through 1024. This change
+preserves that language contract. `topk_consumer.c` separately exercises the
+internal indexed kernel with K near the group size; `topk_scaling.py` checks
+all output values against an independent histogram and records cold/warm times
+and peak RSS. This prevents a query-front-end limit from hiding kernel gaps.
+
+## Follow-up on low-worker overhead
+
+- When task-local group counters fit in 256 KiB, build stable row slices with
+  direct source-task histograms and prefix offsets. This avoids a second row
+  buffer and partitioning passes while retaining source order. Larger group
+  directories keep the bounded partitioned layout.
+- Partition larger directories into contiguous group-id ranges so workers
+  own adjacent output regions instead of scattering interleaved groups across
+  the same pages. Use one source range per worker; split hot partitions by rows.
+- Dispatch native top-K input types outside the scan loop. Discard losing rows
+  before entering heap maintenance, and specialize native heap comparisons.
+- Separate top-K scheduling from heap ownership: each worker retains one
+  private heap across smaller source tasks, then sorts it once after the scan.
+  Exact preselection handles larger K, followed by bounded sorting runs and
+  merges split by output rank.
+- Read native first/last null sentinels directly after type dispatch; retain
+  periodic cancellation checks and source-row winner semantics.
+
+- For task-local dense states, sample each source range before choosing eager
+  initialization. Narrow local key ranges retain lazy initialization instead of
+  initializing the entire global domain. Sampling controls work only.
+- Use one dense scatter source range per worker to reduce adjacent writes;
+  partition reduction still splits dominant partitions by their row counts.
+
+These changes are included in the final synthetic sweep and sanitizer checks.
+
+## Shared directory allocation
+
+- Use 32-bit atomic representatives when row IDs fit, retaining 64-bit entries
+  for larger dense inputs. The empty sentinel remains outside the valid row range.
+- Allocate representative output storage after exact group counts are known.
+- Initialize the directory in coarse aligned ranges to reduce concurrent first
+  writes to the same huge pages. Pad partition counters between worker slices.
+
+## Native validity and small-domain scheduling
+
+- Native accumulator loops select the sentinel reader from the registered input
+  representation at compile time. Nullable rows no longer repeat type dispatch.
+- Use additional independent source tasks for small dense domains when their
+  replicated state fits within one eighth of the existing scatter budget.
+  Larger domains retain the bounded partition or task-local strategy.
+
+## Native streaming output
+
+Every registered streaming accumulator provides a native scalar writer. Sums,
+counts, averages, statistics, products, truth and binary reductions now join
+extrema on this path. The added writers share a primitive result calculation with boxed output,
+including typed nulls, wrapped integers and finite-float canonicalization.
+Dense, small-hash, radix and indexed serial emission use the same interface;
+parallel emitters publish null metadata after their worker barrier.
+
+Registry tests require this capability for every streaming operation/type pair.
+Independent scalar and grouped contracts cover empty/all-null states, arithmetic
+overflow, non-finite results, zero weights and covariance. Small-domain task
+expansion also observes the heap watermark, including row IDs and final states;
+a constrained-budget test checks that it falls back to fewer tasks.
+
+## Mixed payload scatter
+
+Complete all deduplicated input fields for a bounded row chunk before advancing
+through each source range. This avoids repeatedly traversing the full output
+buffer for binary and mixed streaming reductions. The existing native-width
+readers, source selection and partition ownership remain shared. Chunk sizing
+bounds the active payload footprint; scratch consists of partition cursors,
+without another row-sized buffer.
diff --git a/docs/grouping-engine-scaling-results.md b/docs/grouping-engine-scaling-results.md
new file mode 100644
index 00000000..559a02f4
--- /dev/null
+++ b/docs/grouping-engine-scaling-results.md
@@ -0,0 +1,245 @@
+# Grouping engine scaling results
+
+Status: the full scaling matrix was validated at `f61a4eda`; the audit
+follow-up below covers the query regression fixes. This report contains only synthetic
+fixtures and generic engine validation. Required PR checks gate merging.
+
+## Audit follow-up
+
+The PR audit identified missing query coverage and an empty-result inference
+regression after the measured revision above.
+
+- Restored the original W32 SYM single-key query and kept the additional
+  two-key radix fixture. The single-key result is normalized after query
+  execution by its unique numeric row value before checking every source key
+  and aggregate. This preserves query-path coverage and key/value association
+  checks without assuming a group output order that the engine does not promise.
+- Added query fixtures for all nine STR/GUID/LIST key/value combinations,
+  selected and mixed count-distinct queries, full key-column emission, and
+  composite keys wider than 16 bytes. Expected counts come from a four-row
+  pattern, with values differing beyond a shared prefix.
+- Added empty-input and selected-out query fixtures, including aggregate
+  aliases that exercise generic unary evaluation. Empty-input domain/type
+  errors no longer turn a zero-group query into an error. A separate injected
+  error test checks that OOM and cancellation still propagate.
+- Added task-array bounds assertions, a dense partition capacity assertion,
+  a generic native-width copy fallback, and invalid rank-selection checks.
+
+The cancellation concern does not require clearing every slab on the
+coordinator: dispatch joins its tasks, cancellation is checked before merge,
+and destruction already skips slabs whose `ready` flag is false. Cancellation
+after that check cannot undo a completed task's initialization.
+
+Validation at `fdf365f3`: **3,832/3,832 ASan/UBSan tests passed**. The restored
+symbol fixture and wide count-distinct fixture also passed separately with
+28 total threads. Injected empty-result errors and invalid rank boundaries
+are covered in the full suite.
+
+A clean release of `fdf365f3` completed without warnings (SHA-256
+`ab1f19e100f89164af1ef511fe6390cf3e634114a1fb0c5df9bd039c578e343b`).
+The follow-up compared eight dense-query shapes against `f61a4eda` at 1, 8,
+and default workers: **144/144 fresh-process typed comparisons passed**.
+Three default-worker warm slowdowns were repeated with five processes per
+binary, adding **30/30 passing comparisons**. Their slower medians did not
+reproduce in that follow-up; both samples remain available.
+
+| Default-worker case | Initial baseline / candidate warm ms | Repeat baseline / candidate warm ms |
+|---|---:|---:|
+| Binary aggregates | 2.431 / 3.034 | 2.349 / 2.316 |
+| Clustered keys | 0.630 / 0.730 | 0.626 / 0.603 |
+| Symbol keys | 0.232 / 0.249 | 0.237 / 0.229 |
+
+See the [environment](../bench/groupby_shapes/results/2026-09-16-audit/environment.json),
+[summary](../bench/groupby_shapes/results/2026-09-16-audit/grouping.csv),
+[all process samples](../bench/groupby_shapes/results/2026-09-16-audit/processes.csv),
+[repeat summary](../bench/groupby_shapes/results/2026-09-16-audit/repeat.csv), and
+[repeat process samples](../bench/groupby_shapes/results/2026-09-16-audit/repeat-processes.csv).
+This focused comparison does not establish a new general speedup.
+
+The restored query fixture also exposed two sorting races under hosted TSan.
+The shared sortedness flag now uses relaxed atomic accesses, and in-place key
+packing no longer reads a neighboring task's element; the existing coordinator
+pass checks boundary pairs after the dispatch barrier. The triggering fixture
+reproduced both races before the fix and passed afterward. Follow-up validation:
+**130/130 sort ASan/UBSan tests** and **41/41 parallel TSan tests** passed without
+race reports, using four total threads for TSan. The aggregation TSan suite at
+`fdf365f3` also passed **26/26** without suppressions. These sorting fixes do not
+change the grouping traversal measured above.
+
+The timing tables below remain measurements of `f61a4eda`; they are not
+presented as a new full sweep of the audit follow-up.
+
+## Method
+
+Use separate immutable release binaries, identical generated inputs and worker
+settings 1, 2, 4, 8, 16 and default. Run binaries sequentially, reversing their
+order between rounds. Record the first query separately from five warm queries
+in each of three fresh processes. Retain timing ranges and peak RSS.
+
+The default pool uses all 28 logical CPUs on the validation host. Typed result
+comparisons check keys, nulls and integer values exactly; floating reductions
+use relative tolerance `1e-9` and absolute tolerance `1e-8`. Independent unit
+oracles cover ordering, nulls, rank and distinct semantics.
+
+## Correctness
+
+The following completed checks apply to revision `f61a4eda`.
+
+- **2,700 fresh-process runs**, 77 synthetic cases, six worker settings and three rounds: all typed cold/warm result comparisons passed.
+- Complete ASan/UBSan suite: **3,828/3,828 passed**.
+- Targeted TSan: **24/24 passed**, `RAYFORCE_CORES=3` (four total threads), `setarch x86_64 -R`, no suppressions.
+- Coverage includes native widths, source symbol domains, structural LIST keys,
+  stable row indices, dominant-group exact `med`/quantile, frequency ties,
+  parallel top/bottom-K merges, adaptive symbol slices and typed empty output.
+
+Earlier TSan attempts with five total threads stalled during pool shutdown before
+the aggregation checks; they are not counted as passes. The final run used four
+total threads and reported no races. No pool implementation or suppression was
+changed to obtain that result.
+
+Four synthetic cases fail in the baseline: STR-valued count-distinct and its
+mixed form crash; LIST-key count-distinct and its mixed form raise a type error.
+These cases receive no baseline speedup claim. Candidate results are checked
+across workers and with independent unit-test oracles.
+
+## Warm performance by family
+
+Times below are medians of three process warm medians, in milliseconds.
+The [complete summary](../bench/groupby_shapes/results/2026-09-15/grouping.csv)
+contains all 77 cases and all worker counts. The [process records](../bench/groupby_shapes/results/2026-09-15/processes.csv)
+retain every cold time, five warm times, result/binary hashes and peak RSS.
+
+| Synthetic case | Baseline, 28 | Current, 8 | Current, 28 | Baseline/current at 28 |
+|---|---:|---:|---:|---:|
+| `extrema-time` | 6.379 | 1.816 | 0.958 | 6.66x |
+| `sum-time` | 5.228 | 1.098 | 0.678 | 7.72x |
+| `sum-i64` | 6.013 | 1.101 | 0.724 | 8.30x |
+| `count` | 3.350 | 1.249 | 0.571 | 5.86x |
+| `statistics` | 10.153 | 2.320 | 1.313 | 7.73x |
+| `binary` | 17.848 | 4.203 | 2.415 | 7.39x |
+| `product` | 5.789 | 1.221 | 0.737 | 7.85x |
+| `truth` | 8.331 | 1.802 | 1.004 | 8.30x |
+| `median` | 6.209 | 3.247 | 2.021 | 3.07x |
+| `quantile` | 6.110 | 3.323 | 2.022 | 3.02x |
+| `mode` | 6.682 | 4.346 | 2.264 | 2.95x |
+| `top-bottom` | 9.028 | 5.655 | 4.373 | 2.06x |
+| `first-last` | 9.594 | 2.808 | 1.738 | 5.52x |
+| `distinct` | 12.735 | 6.107 | 4.112 | 3.10x |
+| `mixed` | 8.763 | 3.857 | 2.397 | 3.66x |
+| `composite` | 13.981 | 3.886 | 2.119 | 6.60x |
+| `selected` | 2.525 | 1.191 | 0.968 | 2.61x |
+| `sparse` | 5.975 | 7.922 | 7.014 | 0.85x |
+| `float-key` | 6.357 | 4.220 | 2.208 | 2.88x |
+| `string-key` | 8.497 | 2.628 | 1.652 | 5.14x |
+| `guid-key` | 10.530 | 2.948 | 2.518 | 4.18x |
+| `list-key` | 27.750 | 3.764 | 2.762 | 10.05x |
+
+Aggregate costs differ, and these measurements do not establish linear scaling
+or a universal best worker count. I64 sum improves from eight to 28 workers in
+this final sweep; its strategy changes from task-local state to partitioned
+state. The GUID case now splits medium-sized rank groups using the common
+parallel grain, closing the scheduling gap found during phase review.
+
+## Cold costs and repeatability
+
+The main sweep retains these regressions. The follow-up used five additional
+fresh processes per binary for every configuration that was over 5% slower in
+at least two main-sweep rounds: 13 configurations and **130 verified runs**.
+All [follow-up process records](../bench/groupby_shapes/results/2026-09-15/regression-repeat.csv)
+are retained; they do not replace the main samples.
+
+| Case / workers | Metric | Main baseline ms | Main current ms | Repeat baseline ms | Repeat current ms |
+|---|---|---:|---:|---:|---:|
+| `clustered` / 4 | cold | 1.700 | 2.588 | 2.248 | 1.709 |
+| `clustered` / 8 | cold | 2.145 | 2.596 | 1.938 | 2.506 |
+| `hot-min-descending` / 8 | cold | 1.446 | 2.047 | 1.409 | 2.099 |
+| `float-key` / default | cold | 3.841 | 4.994 | 3.921 | 5.040 |
+| `nonnull` / 8 | cold | 3.062 | 3.411 | 2.493 | 3.191 |
+| `product` / 8 | cold | 2.348 | 2.615 | 2.260 | 2.600 |
+| `symbol-key` / 2 | cold | 0.647 | 0.885 | 0.750 | 0.710 |
+| `symbol-key` / 2 | warm | 0.527 | 0.763 | 0.671 | 0.559 |
+| `sparse` / default | warm | 5.975 | 7.014 | 6.196 | 5.890 |
+
+Neither warm slowdown reproduced in the five-process follow-up. The symbol
+and sparse samples vary across runs; these fixtures support neither a fixed
+warm regression nor a universal speedup claim. The additional cold flags for
+`extrema-f32`, `sum-f64`, `truth`, `extrema-i32` and `sum-time` also did not
+retain a median regression above 5% in the follow-up.
+
+Cold regressions remain for the eight-worker descending-min, clustered,
+nonnull and product fixtures, and for default-worker float keys. The
+[68 profiled runs](../bench/groupby_shapes/results/2026-09-15/phase-profiles.csv)
+place the extra time in slab allocation, histogram/scatter, directory setup
+and filling row indices:
+
+- Descending-min and product spend about 0.66 and 0.64 ms, respectively, in
+  cold slab allocation; the corresponding warm phase rounds to zero.
+- Clustered histogram/scatter takes about 1.83 ms cold versus 0.49 ms warm.
+- Float-key directory allocation/initialization takes about 1.05 ms cold
+  versus 0.09 ms warm; row-index filling takes 1.49 versus 0.59 ms.
+
+The bounded state and shared-directory strategies reduce repeated state
+initialization and merging, while retaining these first-execution costs.
+The report keeps those costs alongside the warm improvements.
+
+The rank profiles also confirm the medium-group scheduling change: the
+four-group GUID fixture now uses parallel rank selection within its groups.
+Small groups retain the direct consumer; task counts remain bounded by work
+and scratch storage. All query state is rebuilt per execution.
+
+## Coverage ledger
+
+The `agg_contract` tests in [test_agg_contract.c](../test/test_agg_contract.c)
+check values and routes independently of benchmark timings.
+
+| Engine work | Synthetic cases | Correctness evidence |
+|---|---|---|
+| Native streaming and scalar output | `sum-*`, `extrema-*`, `count`, `statistics`, `product`, `truth` | Unary scalar/grouped contracts, every streaming registry writer, native null/overflow output, parallel float oracle |
+| Binary reductions | `binary` | All numeric input-type pairs; zero weights, null-only pairs and empty states |
+| Dense strategies and skew | `clustered`, `unique-keys`, `skew`, `all-null-key`, `hot-min-*` | Route assertions, extreme native values, constrained heap budget, independent per-key results |
+| Selected and composite grouping | `selected`, `composite`, `selected-indexed` | Selected source-row identity, composite keys and mixed consumers |
+| Shared wide-key directory | `float-*`, `string-*`, `guid-key`, `list-key` | Full value equality, float canonicalization, structural keys and stable group indices |
+| Ordered and wide consumers | `first-last`, `wide-extrema`, `symbol-extrema`, corresponding `hot-*` cases | First/last source order, symbol domains, native gathering and dominant-group winners |
+| Exact rank, mode and top/bottom K | `median`, `quantile`, `mode`, `top-bottom`, wide/symbol and `hot-*` variants | Rank/null/slice oracles, frequency ties, reordered indices, bounded heaps and parallel merges |
+| Exact distinct and mixed consumers | `distinct*`, `mixed-distinct*`, `mixed`, `skew-indexed` | Native and wide distinct oracles, first-row ordering, shared stable layouts |
+
+The final timing matrix covers each case at 1/2/4/8/16/default workers. Invalid
+operation/type pairs stay explicit errors; heterogeneous LIST arithmetic keeps
+its existing dynamic evaluation. Default pool size and useful task count are
+separate: the pool exposes all CPUs while each stage bounds tasks by its work
+and memory budget.
+
+## Internal top/bottom-K kernel
+
+All **90 runs** at revision `f61a4eda` matched the independent histogram oracle.
+These synthetic inputs have 4,000,003 rows; K above 1024 exercises the internal
+kernel, without changing the query language limit.
+
+| K | 1 worker warm ms | 8 workers warm ms | Default (28) warm ms |
+|---:|---:|---:|---:|
+| 1024 | 11.206 | 2.148 | 1.795 |
+| 65536 | 53.571 | 20.432 | 17.512 |
+| 4000003 | 772.737 | 159.594 | 89.194 |
+
+Values are medians of the three process warm medians. The CSV in
+`bench/groupby_shapes/results/2026-09-15/topk.csv` retains process ranges,
+cold medians and peak RSS. Scaling varies with K; these results do not establish linear scaling. The baseline fails the
+full-size-K oracle because of partially filled heap ordering, so that case
+has no baseline speedup claim.
+
+## Reproduction
+
+```sh
+python3 bench/groupby_shapes/grouping_scaling.py \
+  --binary /path/to/candidate --baseline /path/to/baseline \
+  --baseline-skip-cases distinct-string-values,mixed-distinct-string-values,distinct-list-keys,mixed-distinct-list-keys \
+  --workers 1,2,4,8,16,default --rounds 3 --output /tmp/grouping.json
+
+python3 bench/groupby_shapes/summarize_scaling.py /tmp/grouping.json /tmp/grouping.csv \
+  --process-output /tmp/grouping-processes.csv
+```
+
+To investigate one configuration, use the same driver with, for example,
+`--cases symbol-key --workers 2 --rounds 5`. Add `--profile` for a separate
+phase-timing run; profiling measurements are kept separate from the main sweep
+and unprofiled repeats.
diff --git a/src/lang/internal.h b/src/lang/internal.h
index bc21a86f..0f73e5f8 100644
--- a/src/lang/internal.h
+++ b/src/lang/internal.h
@@ -461,6 +461,7 @@ ray_t* ray_max2_fn(ray_t* a, ray_t* b);
  * elements.  Returns NaN if n <= 0.  Used by aggr_med_per_group_buf in
  * query.c for the fast per-group median path. */
 double ray_median_dbl_inplace(double* a, int64_t n);
+double ray_nth_dbl_inplace(double* a, int64_t n, int64_t k);
 double ray_quantile_dbl_inplace(double* a, int64_t n, double q);
 ray_t* ray_mode_per_group_buf(ray_t* src,
                               const int64_t* idx_buf,
@@ -672,6 +673,7 @@ ray_t* ray_log_purge_fn(ray_t** args, int64_t n);
 
 /* Group (formerly static in eval.c, now extern for query.c) */
 ray_t* ray_group_indices_fn(ray_t* x);
+ray_t* agg_group_indices(ray_t* source);
 
 /* I/O and formatting builtins (formerly in eval.c, now in ops/builtins.c) */
 ray_t* ray_println_fn(ray_t** args, int64_t n);
diff --git a/src/ops/agg.c b/src/ops/agg.c
index fcdb9985..51b0138d 100644
--- a/src/ops/agg.c
+++ b/src/ops/agg.c
@@ -959,6 +959,12 @@ static ray_t* quantile_prob_arg(ray_t* q_obj, double scale, const char* name,
     return NULL;
 }
 
+double ray_nth_dbl_inplace(double* a, int64_t n, int64_t k) {
+    if (!a || n <= 0 || k < 0 || k >= n) return NULL_F64;
+    nth_element_dbl(a, 0, n - 1, k);
+    return a[k];
+}
+
 double ray_quantile_dbl_inplace(double* a, int64_t n, double q) {
     if (n <= 0) return 0.0;
     if (n == 1) return a[0];
diff --git a/src/ops/agg_acc.h b/src/ops/agg_acc.h
index fe89deec..eb60c43e 100644
--- a/src/ops/agg_acc.h
+++ b/src/ops/agg_acc.h
@@ -71,8 +71,14 @@ typedef struct {
     /* param: per-aggregate integer parameter (K for top_n/bot_n via ext->agg_k[a];
      * 0 and ignored for all other aggregates). */
     ray_t* (*finalize)    (const void* state, acc_arena_t* arena, int64_t param);
-    /* Optional native scalar emit. Writes one payload, returns whether null. */
+    /* Native scalar emit: supplied by every registered streaming kernel,
+     * optional for buffered kernels. Writes one payload, returns whether null. */
     bool (*finalize_value)(const void* state, void* dst);
+    /* Optional concurrent update of the same initialized state. Init and
+     * finalize still run outside the update dispatch. The state layout and
+     * null semantics must match update_batch; no separately owned memory. */
+    void (*update_shared)(void* states_base, size_t stride, const uint32_t* gids,
+                          const void* vals, const ray_valid_t* valid, int64_t n);
     /* Release heap state owned by a per-group state slab. NULL for ACC_STREAMING.
      * The engine calls this on every init'd state once it won't be used again. */
     void   (*destroy)(void* state);
diff --git a/src/ops/agg_engine.c b/src/ops/agg_engine.c
index 80f01dd3..34d5cac3 100644
--- a/src/ops/agg_engine.c
+++ b/src/ops/agg_engine.c
@@ -6,6 +6,7 @@
 #include "ops/internal.h"  /* col_vec_new, col_esz */
 #include "ops/rowsel.h"    /* ray_rowsel_meta, ray_rowsel_to_indices */
 #include "lang/internal.h" /* sym_domain_rep */
+#include "table/domain.h"
 #include "table/sym.h"    /* ray_read_sym */
 #include <stdlib.h>
 #include <string.h>
@@ -41,15 +42,11 @@ void agg_route_reason(agg_v2_reason_t reason) {
 
 /* Read element `row` of an integer/temporal/SYM column widened to int64. */
 static inline int64_t agg_read_key_i64(ray_t* col, const void* data, int64_t row);
-/* Write a finalized scalar cell into output column slot i, marking nulls. */
-static void agg_put_cell(ray_t* out, int64_t i, ray_t* cell);
 /* Dense direct-index serial grouping; defined below agg_run_one. */
 static int agg_group_keys_dense(ray_t** key_cols, int64_t nrows,
                                 const dense_plan_t* dp, agg_groups_t* out);
-/* Binary-aggregate (pearson) serial driver; defined below agg_run_one. */
-ray_t* agg_run_one_bin(const agg_vtable_t* vt, ray_t* x_col, ray_t* y_col,
-                       const uint32_t* gids, int64_t nrows, int64_t ngroups,
-                       int64_t kparam);
+static int agg_group_keys_parallel(ray_t** keys, uint32_t nkeys, int64_t rows,
+                                    const dense_plan_t* dp, agg_groups_t* out);
 
 static bool agg_cancelled(void) {
     ray_pool_t* pool = ray_pool_get();
@@ -120,23 +117,27 @@ agg_v2_reason_t agg_v2_admission(ray_graph_t* g, ray_op_t* op, ray_t* tbl) {
         }
     }
 
-    /* Large float/wide-key streaming queries already have a faster parallel wide-key
-     * implementation. Keep it: the shared serial index builder is for shapes
-     * that need row order/buffering, and measured slower on this workload. */
-    if (ext->n_keys <= 8 && ray_table_nrows(tbl) >= RAY_PARALLEL_THRESHOLD) {
-        bool wide = false, indexed = false;
+    /* The native float hash reducer avoids building row slices for small
+     * parallel pools. At larger pools its replicated group states cost more
+     * than the shared directory. Byte/structural keys always use full-key
+     * grouping, and ordered/buffered consumers always share row slices. */
+    ray_pool_t* pool = ray_pool_get();
+    uint32_t workers = pool ? ray_pool_total_workers(pool) : 1;
+    if (ext->n_keys <= 8 && workers >= 2 && workers <= 8 &&
+            ray_table_nrows(tbl) >= RAY_PARALLEL_THRESHOLD) {
+        bool floating = false, indexed = false;
         for (uint32_t k = 0; k < ext->n_keys; k++) {
             ray_op_ext_t* ke = find_ext(g, ext->keys[k]);
             ray_t* col = ray_table_get_col(tbl, ke->sym);
-            if (col->type == RAY_STR || col->type == RAY_GUID || col->type == RAY_F32 || col->type == RAY_F64) wide = true;
-            if (col->type == RAY_LIST) indexed = true;
+            if (col->type == RAY_F32 || col->type == RAY_F64) floating = true;
+            if (col->type == RAY_STR || col->type == RAY_GUID || col->type == RAY_LIST) indexed = true;
         }
         for (uint32_t a = 0; a < ext->n_aggs; a++) {
             ray_op_ext_t* ie = find_ext(g, ext->agg_ins[a]);
             ray_t* col = ie ? ray_table_get_col(tbl, ie->sym) : NULL;
             if (col && agg_indexed_supported(ext->agg_ops[a], col->type)) indexed = true;
         }
-        if (wide && !indexed) return AGG_V2_PARALLEL_WIDE;
+        if (floating && !indexed) return AGG_V2_PARALLEL_WIDE;
     }
 
     /* every aggregate must be a registry-resolvable plain-column scan */
@@ -191,8 +192,8 @@ bool agg_v2_can_handle(ray_graph_t* g, ray_op_t* op, ray_t* tbl) {
 /* ── Dense grouping eligibility selector (mirrors group.c DA path) ────────
  * Decides whether the key tuple packs into a bounded direct-index slot space
  * (gid = sum_k (key_k - min_k)*strides[k]) so grouping can skip hashing.
- * Eligible iff: 1..16 keys, every key is an integer/temporal/SYM type with no
- * nulls, and the product of per-key ranges is no larger than the input row
+ * Eligible iff: 1..16 integer/temporal/SYM keys, including reserved null slots,
+ * and the product of per-key ranges is no larger than the input row
  * count (computed overflow-safely). Performs one min/max prescan per key column.
  * Aggregates may be ACC_STREAMING or ACC_BUFFERED (median/top-k): the dense
  * serial driver carries the per-group destroy lifecycle for buffered state. */
@@ -217,6 +218,87 @@ static bool agg_dense_range(dense_plan_t* dp, uint32_t k, int64_t mn, int64_t mx
     return true;
 }
 
+/* Hoist type and null handling out of range scans so native integer
+ * reductions can vectorize, including nullable temporal keys. */
+static void agg_key_bounds(ray_t* key, int64_t start, int64_t end, bool nullable,
+                           int64_t null, int64_t* lo, int64_t* hi) {
+    int64_t mn = INT64_MAX, mx = INT64_MIN;
+    const void* data = ray_data(key);
+    #define KEY_BOUNDS(T) do { \
+        const T* p = data; \
+        if (nullable) { \
+            for (int64_t r = start; r < end; r++) { \
+                int64_t v = (int64_t)p[r]; \
+                int64_t low = v == null ? INT64_MAX : v; \
+                int64_t high = v == null ? INT64_MIN : v; \
+                if (low < mn) mn = low; \
+                if (high > mx) mx = high; \
+            } \
+        } else { \
+            for (int64_t r = start; r < end; r++) { \
+                int64_t v = (int64_t)p[r]; \
+                if (v < mn) mn = v; \
+                if (v > mx) mx = v; \
+            } \
+        } \
+    } while (0)
+    switch (key->type) {
+        case RAY_I64: case RAY_TIMESTAMP: KEY_BOUNDS(int64_t); break;
+        case RAY_I32: case RAY_DATE: case RAY_TIME: KEY_BOUNDS(int32_t); break;
+        case RAY_I16: KEY_BOUNDS(int16_t); break;
+        case RAY_U8: case RAY_BOOL: KEY_BOUNDS(uint8_t); break;
+        case RAY_SYM:
+            switch (key->attrs & RAY_SYM_W_MASK) {
+                case RAY_SYM_W8: KEY_BOUNDS(uint8_t); break;
+                case RAY_SYM_W16: KEY_BOUNDS(uint16_t); break;
+                case RAY_SYM_W32: KEY_BOUNDS(uint32_t); break;
+                default: KEY_BOUNDS(int64_t); break;
+            }
+            break;
+    }
+    #undef KEY_BOUNDS
+    *lo = mn; *hi = mx;
+}
+
+typedef struct {
+    ray_t* key;
+    bool nullable;
+    int64_t null, rows;
+    uint32_t tasks;
+    int64_t* bounds;
+} agg_key_bounds_ctx_t;
+static void agg_key_bounds_fn(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid;
+    agg_key_bounds_ctx_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        int64_t begin = c->rows / c->tasks * task;
+        int64_t limit = task + 1 == c->tasks ? c->rows : c->rows / c->tasks * (task + 1);
+        agg_key_bounds(c->key, begin, limit, c->nullable, c->null,
+                       &c->bounds[task * 2], &c->bounds[task * 2 + 1]);
+    }
+}
+static void agg_key_bounds_parallel(ray_t* key, int64_t rows, bool nullable,
+                                    int64_t null, int64_t* lo, int64_t* hi) {
+    ray_pool_t* pool = ray_pool_get();
+    if (pool && rows >= RAY_PARALLEL_THRESHOLD) {
+        uint32_t tasks = ray_pool_total_workers(pool);
+        if (tasks > RAY_POOL_MAX_TASKS) tasks = RAY_POOL_MAX_TASKS;
+        int64_t* bounds = ray_calloc_raw((size_t)tasks * 2 * sizeof(int64_t));
+        if (bounds) {
+            agg_key_bounds_ctx_t c = { key, nullable, null, rows, tasks, bounds };
+            ray_pool_dispatch_n(pool, agg_key_bounds_fn, &c, tasks);
+            *lo = INT64_MAX; *hi = INT64_MIN;
+            for (uint32_t task = 0; task < tasks; task++) {
+                if (bounds[task * 2] < *lo) *lo = bounds[task * 2];
+                if (bounds[task * 2 + 1] > *hi) *hi = bounds[task * 2 + 1];
+            }
+            ray_free_raw(bounds);
+            return;
+        }
+    }
+    agg_key_bounds(key, 0, rows, nullable, null, lo, hi);
+}
+
 bool agg_dense_plan(ray_t** key_cols, uint32_t n_keys,
                     const agg_vtable_t** vts, uint32_t n_aggs,
                     int64_t nrows, dense_plan_t* out) {
@@ -272,50 +354,8 @@ bool agg_dense_plan(ray_t** key_cols, uint32_t n_keys,
             }
         }
 
-        const void* data = ray_data(kc);
         int64_t mn, mx;
-        if (out->nullable[k]) {
-            mn = INT64_MAX; mx = INT64_MIN;
-            for (int64_t r = 0; r < nrows; r++) {
-                int64_t v = agg_read_key_i64(kc, data, r);
-                if (v == out->nulls[k]) continue;
-                if (v < mn) mn = v;
-                if (v > mx) mx = v;
-            }
-            if (!agg_dense_range(out, k, mn, mx)) return false;
-            continue;
-        }
-        /* Type/width-specialized min/max — hoist agg_read_key_i64's per-row
-         * switch out of the prescan (same reason as the phaseA slot loop). */
-        #define DENSE_MINMAX(T)                                         \
-            do { const T* p = (const T*)data; mn = mx = (int64_t)p[0];  \
-                 for (int64_t r = 1; r < nrows; r++) {                  \
-                     int64_t v = (int64_t)p[r];                         \
-                     if (v < mn) mn = v;                                \
-                     if (v > mx) mx = v;                                \
-                 } } while (0)
-        switch (kc->type) {
-            case RAY_I64: case RAY_TIMESTAMP: DENSE_MINMAX(int64_t); break;
-            case RAY_I32: case RAY_DATE: case RAY_TIME: DENSE_MINMAX(int32_t); break;
-            case RAY_I16: DENSE_MINMAX(int16_t); break;
-            case RAY_U8: case RAY_BOOL: DENSE_MINMAX(uint8_t); break;
-            case RAY_SYM:
-                switch (kc->attrs & RAY_SYM_W_MASK) {
-                    case RAY_SYM_W8:  DENSE_MINMAX(uint8_t);  break;
-                    case RAY_SYM_W16: DENSE_MINMAX(uint16_t); break;
-                    case RAY_SYM_W32: DENSE_MINMAX(uint32_t); break;
-                    default:          DENSE_MINMAX(int64_t);  break; /* W64 */
-                }
-                break;
-            default:
-                mn = mx = agg_read_key_i64(kc, data, 0);
-                for (int64_t r = 1; r < nrows; r++) {
-                    int64_t v = agg_read_key_i64(kc, data, r);
-                    if (v < mn) mn = v;
-                    if (v > mx) mx = v;
-                }
-        }
-        #undef DENSE_MINMAX
+        agg_key_bounds_parallel(kc, nrows, out->nullable[k], out->nulls[k], &mn, &mx);
         if (!agg_dense_range(out, k, mn, mx)) return false;
     }
 
@@ -388,10 +428,46 @@ int64_t agg_result_col_name(int64_t in_sym, uint16_t agg_op) {
     return in_sym;
 }
 
+typedef struct {
+    const char* source;
+    char* output;
+    const int64_t* rows;
+    size_t width;
+    char null_value[16];
+    _Atomic(bool) any_null;
+} agg_gather_native_t;
+
+static void agg_gather_native_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_gather_native_t* c = raw;
+    bool any_null = false;
+    /* Constant byte widths let the compiler emit direct loads/stores. Workers
+     * own disjoint payload slots and never mutate the output object header. */
+    #define GATHER_NATIVE(WIDTH) \
+        for (int64_t i = start; i < end; i++) { \
+            int64_t row = c->rows[i]; \
+            if (row < 0) { \
+                memcpy(c->output + (size_t)i * (WIDTH), c->null_value, (WIDTH)); \
+                any_null = true; \
+            } else memcpy(c->output + (size_t)i * (WIDTH), \
+                          c->source + (size_t)row * (WIDTH), (WIDTH)); \
+        }
+    assert(c->width > 0 && c->width <= sizeof(c->null_value));
+    switch (c->width) {
+        case 1: GATHER_NATIVE(1); break;
+        case 2: GATHER_NATIVE(2); break;
+        case 4: GATHER_NATIVE(4); break;
+        case 8: GATHER_NATIVE(8); break;
+        case 16: GATHER_NATIVE(16); break;
+        default: GATHER_NATIVE(c->width); break;
+    }
+    #undef GATHER_NATIVE
+    if (any_null) atomic_store_explicit(&c->any_null, true, memory_order_relaxed);
+}
+
 /* Build a result key column of src_col's type by gathering the first-row cell
  * of each group at native (type-exact) byte width.  For SYM, adopts the source
  * domain so the intern ids resolve correctly.  Caller owns the returned column. */
-static ray_t* agg_gather_key_col(ray_t* src_col, const int64_t* first_row, int64_t n) {
+ray_t* ray_group_gather(ray_t* src_col, const int64_t* first_row, int64_t n) {
     if (src_col->type == RAY_LIST) {
         ray_t* out = ray_list_new(n);
         if (!out || RAY_IS_ERR(out)) return out;
@@ -402,16 +478,16 @@ static ray_t* agg_gather_key_col(ray_t* src_col, const int64_t* first_row, int64
         return out;
     }
     if (src_col->type == RAY_STR) {
-        ray_t* out = ray_vec_new(RAY_STR, n);
-        if (!out || RAY_IS_ERR(out)) return out;
-        out->len = n;
+        const char** ptrs = ray_alloc_raw((size_t)(n ? n : 1) * sizeof(char*));
+        uint32_t* lens = ray_alloc_raw((size_t)(n ? n : 1) * sizeof(uint32_t));
+        if (!ptrs || !lens) { ray_free_raw(ptrs); ray_free_raw(lens); return ray_error("oom", NULL); }
         for (int64_t i = 0; i < n; i++) {
             size_t len = 0;
-            const char* str = first_row[i] < 0 ? "" : ray_str_vec_get(src_col, first_row[i], &len);
-            ray_t* next = ray_str_vec_set(out, i, str ? str : "", len);
-            if (!next || RAY_IS_ERR(next)) { ray_release(out); return next; }
-            out = next;
+            ptrs[i] = first_row[i] < 0 ? "" : ray_str_vec_get(src_col, first_row[i], &len);
+            lens[i] = (uint32_t)len;
         }
+        ray_t* out = ray_str_vec_from_parts(ptrs, lens, NULL, n);
+        ray_free_raw(ptrs); ray_free_raw(lens);
         return out;
     }
     ray_t* out = col_vec_new(src_col, n);
@@ -419,14 +495,27 @@ static ray_t* agg_gather_key_col(ray_t* src_col, const int64_t* first_row, int64
     if (out->type == RAY_SYM)
         ray_sym_vec_adopt_domain(out, sym_domain_rep(src_col));
     out->len = n;
-    size_t esz = col_esz(src_col);
-    const char* src = (const char*)ray_data(src_col);
-    char* dst = (char*)ray_data(out);
-    for (int64_t gi = 0; gi < n; gi++) {
-        if (first_row[gi] < 0) { ray_vec_set_null(out, gi, true); continue; }
-        memcpy(dst + (size_t)gi * esz, src + (size_t)first_row[gi] * esz, esz);
+    agg_gather_native_t c = {.source = ray_data(src_col), .output = ray_data(out),
+        .rows = first_row, .width = col_esz(src_col)};
+    #define GATHER_NULL(TYPE, VALUE) do { TYPE value = (VALUE); memcpy(c.null_value, &value, sizeof(value)); } while (0)
+    switch (src_col->type) {
+        case RAY_F64: GATHER_NULL(double, NULL_F64); break;
+        case RAY_F32: GATHER_NULL(float, NULL_F32); break;
+        case RAY_I64: case RAY_TIMESTAMP: GATHER_NULL(int64_t, NULL_I64); break;
+        case RAY_I32: case RAY_DATE: case RAY_TIME: GATHER_NULL(int32_t, NULL_I32); break;
+        case RAY_I16: GATHER_NULL(int16_t, NULL_I16); break;
+        default: break; /* SYM/GUID use zero payloads; BOOL/U8 have no null. */
     }
-    if (src_col->attrs & RAY_ATTR_HAS_NULLS) out->attrs |= RAY_ATTR_HAS_NULLS;
+    #undef GATHER_NULL
+    ray_pool_t* pool = ray_pool_get();
+    if (ray_pool_par_dispatch_ok(pool, n, RAY_PARALLEL_THRESHOLD))
+        ray_pool_dispatch(pool, agg_gather_native_run, &c, n);
+    else agg_gather_native_run(&c, 0, 0, n);
+    if (agg_cancelled()) { ray_release(out); return ray_error("cancel", NULL); }
+    if (ray_vec_may_have_nulls(src_col) ||
+            (atomic_load_explicit(&c.any_null, memory_order_relaxed) &&
+             src_col->type != RAY_BOOL && src_col->type != RAY_U8))
+        out->attrs |= RAY_ATTR_HAS_NULLS;
     return out;
 }
 
@@ -437,7 +526,7 @@ static ray_t* agg_gather_key_col(ray_t* src_col, const int64_t* first_row, int64
  * src/ops/rowsel.h: per-segment NONE/ALL/MIX flags + morsel-local idx[] for MIX
  * segments).  Rather than materialize a full O(rows-passed) index array
  * (ray_rowsel_to_indices) + a full compact column (the old prologue), the
- * chunked strategies (dense serial+parallel, radix, smallhash) consume the
+ * chunked strategies (task-local dense, radix, smallhash) consume the
  * selection IN PLACE: each worker walks its assigned SELECTED rows in fixed-size
  * chunks (AGG_SEL_CHUNK), decoding each chunk's ORIGINAL row indices into a
  * small reused stack buffer, gathering only that chunk's key/agg-input values
@@ -876,25 +965,20 @@ static inline int agg_tuple_eq(ray_t** key_cols, const void** key_data,
     return 1;
 }
 
-/* ══════════════════════════════════════════════════════════════════════
- * Parallel DENSE group-by (low-card int/SYM keys; streaming OR buffered aggs).
- * Per-worker flat slabs of `total_slots` AoS group states (slot == gid via the
- * mixed-radix packing) + a per-worker first_row[slot] (INT64_MAX = untouched).
- * Phase A: each worker packs its chunk rows into slots and update_batch's into
- * its own slab.  Phase B: merge per-worker slabs into a global slab.  Phase C:
- * collect occupied slots in slot order and emit (output order unspecified).
- * No hashing.  Buffered aggs (median/top-k) malloc a per-group buffer in their
- * state; every init'd slot of every slab carries the vt->destroy lifecycle:
- * worker buffers are freed once after being merged into the global slab, and
- * the global slab's buffers are freed after finalize — exactly-once, mirroring
- * agg_table_destroy on the hash path. */
-
-/* Per-worker dense slab. */
+/* Parallel dense streaming aggregation. Each logical task owns a local key
+ * occupancy bitmap, group states, and first-row indices. Only occupied
+ * states are initialized or merged. This fallback covers small domains and
+ * selected/composite keys; capability-based strategies below avoid replication. */
+
+/* Per-task dense slab. */
 typedef struct {
-    char*    states;     /* [total_slots * block] AoS, every slot init'd */
-    int64_t* first_row;  /* [total_slots] min row idx touching slot, INT64_MAX = none */
+    char*    states;     /* [total_slots * block] AoS, only occupied slots initialized */
+    int64_t* first_row;  /* initialized only for occupied slots */
+    uint64_t* occupied; /* one bit per initialized local state */
     int      oom;
     bool     ready;
+    bool     eager;
+    int64_t slots;
 } agg_dense_local_t;
 
 typedef struct {
@@ -918,29 +1002,20 @@ typedef struct {
     uint32_t            n_tasks;
 } agg_dense_ctx_t;
 
-/* Initialize every slot's agg states in a freshly-allocated slab (min/max need
- * INT64_MAX/MIN seeds, NOT calloc-zero), and first_row to INT64_MAX. */
-static int agg_dense_local_init(agg_dense_local_t* loc, int64_t total_slots,
-                                const agg_vtable_t** vts, const size_t* off,
-                                size_t block, uint32_t n_aggs) {
+/* Each task owns a slice of one query allocation. Only the bitmap is
+ * cleared; states and first rows are initialized on first touch. */
+static int agg_dense_local_init(agg_dense_local_t* loc, int64_t total_slots, size_t block) {
     loc->oom = 0;
-    loc->states    = ray_alloc_raw((size_t)total_slots * block);
-    loc->first_row = ray_alloc_raw((size_t)total_slots * sizeof(int64_t));
-    if (!loc->states || !loc->first_row) { loc->oom = 1; return -1; }
-    for (int64_t s = 0; s < total_slots; s++) {
-        loc->first_row[s] = INT64_MAX;
-        for (uint32_t a = 0; a < n_aggs; a++)
-            vts[a]->init(loc->states + (size_t)s * block + off[a]);
-    }
+    size_t state_bytes = (size_t)total_slots * block;
+    size_t row_bytes = (size_t)total_slots * sizeof(int64_t);
+    size_t bits_bytes = ((size_t)total_slots + 63) / 64 * sizeof(uint64_t);
+    loc->first_row = (int64_t*)(loc->states + state_bytes);
+    loc->occupied = (uint64_t*)(loc->states + state_bytes + row_bytes);
+    memset(loc->occupied, 0, bits_bytes);
     loc->ready = true;
     return 0;
 }
 
-static void agg_dense_local_destroy(agg_dense_local_t* loc) {
-    ray_free_raw(loc->states); ray_free_raw(loc->first_row);
-    loc->states = NULL; loc->first_row = NULL;
-}
-
 /* Run vt->destroy on EVERY slot's buffered agg state in a dense slab (states +
  * total_slots blocks).  Empty slots hold the init'd state (median/top-k init →
  * buf=NULL), so destroy on them is ray_free_raw(NULL) — safe.  No-op when no agg has a
@@ -956,6 +1031,16 @@ static void agg_dense_slab_destroy_states(char* states, int64_t total_slots,
                 vts[a]->destroy(states + (size_t)s * block + off[a]);
 }
 
+static void agg_dense_local_destroy_states(agg_dense_local_t* loc,
+        const agg_vtable_t** vts, const size_t* off, size_t block, uint32_t n_aggs) {
+    if (!loc->ready) return;
+    for (uint32_t a = 0; a < n_aggs; a++)
+        if (vts[a]->destroy)
+            for (int64_t s = 0; s < loc->slots; s++)
+                if (loc->eager || (loc->occupied[s / 64] & (UINT64_C(1) << (s % 64))))
+                    vts[a]->destroy(loc->states + (size_t)s * block + off[a]);
+}
+
 typedef struct {
     agg_dense_local_t* locals;
     int64_t slots;
@@ -966,27 +1051,62 @@ typedef struct {
     char* states;
     int64_t* first;
 } agg_dense_merge_ctx_t;
-static void agg_dense_init_fn(void* raw, uint32_t wid, int64_t start, int64_t end) {
-    (void)wid; agg_dense_merge_ctx_t* c = raw;
-    for (int64_t w = start; w < end; w++)
-        agg_dense_local_init(&c->locals[w], c->slots, c->vts, c->off, c->block, c->n_aggs);
-}
 static void agg_dense_merge_fn(void* raw, uint32_t wid, int64_t start, int64_t end) {
     (void)wid; agg_dense_merge_ctx_t* c = raw;
+    /* A single streaming state is already the complete result. Copy it
+     * directly instead of initializing and merging an identical state. */
+    bool copy = c->nw == 1;
+    for (uint32_t a = 0; a < c->n_aggs && copy; a++) copy = c->vts[a]->destroy == NULL;
+    if (copy) {
+        const agg_dense_local_t* loc = &c->locals[0];
+        for (int64_t s = start; s < end; s++) {
+            if (loc->occupied[s / 64] & (UINT64_C(1) << (s % 64))) {
+                c->first[s] = loc->first_row[s];
+                memcpy(c->states + (size_t)s * c->block, loc->states + (size_t)s * c->block, c->block);
+            } else {
+                c->first[s] = INT64_MAX;
+                for (uint32_t a = 0; a < c->n_aggs; a++)
+                    c->vts[a]->init(c->states + (size_t)s * c->block + c->off[a]);
+            }
+        }
+        return;
+    }
     for (int64_t s = start; s < end; s++) {
         c->first[s] = INT64_MAX;
-        for (uint32_t a = 0; a < c->n_aggs; a++) c->vts[a]->init(c->states + (size_t)s * c->block + c->off[a]);
-        for (uint32_t w = 0; w < c->nw; w++) {
-            agg_dense_local_t* loc = &c->locals[w];
-            if (loc->first_row[s] == INT64_MAX) continue;
-            if (loc->first_row[s] < c->first[s]) c->first[s] = loc->first_row[s];
-            for (uint32_t a = 0; a < c->n_aggs; a++)
-                c->vts[a]->merge(c->states + (size_t)s * c->block + c->off[a],
-                                loc->states + (size_t)s * c->block + c->off[a], NULL);
+        for (uint32_t a = 0; a < c->n_aggs; a++)
+            c->vts[a]->init(c->states + (size_t)s * c->block + c->off[a]);
+    }
+    for (uint32_t w = 0; w < c->nw; w++) {
+        agg_dense_local_t* loc = &c->locals[w];
+        for (int64_t word = start / 64; word <= (end - 1) / 64; word++) {
+            uint64_t bits = loc->occupied[word];
+            if (word == start / 64) bits &= UINT64_MAX << (start % 64);
+            if (word == (end - 1) / 64 && end % 64) bits &= (UINT64_C(1) << (end % 64)) - 1;
+            while (bits) {
+                int64_t s = word * 64 + __builtin_ctzll(bits);
+                bits &= bits - 1;
+                if (loc->first_row[s] < c->first[s]) c->first[s] = loc->first_row[s];
+                for (uint32_t a = 0; a < c->n_aggs; a++)
+                    c->vts[a]->merge(c->states + (size_t)s * c->block + c->off[a],
+                                    loc->states + (size_t)s * c->block + c->off[a], NULL);
+            }
         }
     }
 }
 static inline bool agg_put_cell_value(ray_t* out, int64_t i, ray_t* cell);
+/* Caller owns null metadata: parallel emitters reduce this flag after the
+ * barrier, while serial emitters may set it immediately. LISTs retain their
+ * separate ownership-aware path. */
+static inline bool agg_finalize_value(const agg_vtable_t* vt, const void* state,
+                                      ray_t* out, int64_t i, int64_t param) {
+    if (vt->finalize_value)
+        return vt->finalize_value(state, (char*)ray_data(out) + (size_t)i * col_esz(out));
+    ray_t* cell = vt->finalize(state, NULL, param);
+    bool is_null = agg_put_cell_value(out, i, cell);
+    ray_release(cell);
+    return is_null;
+}
+
 typedef struct {
     const agg_vtable_t* vt;
     ray_t* out;
@@ -999,15 +1119,9 @@ typedef struct {
 static void agg_dense_emit_fn(void* raw, uint32_t wid, int64_t start, int64_t end) {
     (void)wid; agg_dense_emit_ctx_t* c = raw;
     bool any = false;
-    size_t esz = col_esz(c->out);
-    void* dst = ray_data(c->out);
     for (int64_t i = start; i < end; i++) {
-        const void* st = c->states + (size_t)c->slots[i] * c->block + c->off;
-        if (c->vt->finalize_value) any |= c->vt->finalize_value(st, (char*)dst + (size_t)i * esz);
-        else {
-            ray_t* cell = c->vt->finalize(st, NULL, c->param);
-            any |= agg_put_cell_value(c->out, i, cell); ray_release(cell);
-        }
+        const void* st = c->states + (size_t)(c->slots ? c->slots[i] : i) * c->block + c->off;
+        any |= agg_finalize_value(c->vt, st, c->out, i, c->param);
     }
     if (any) atomic_store_explicit(&c->any_null, true, memory_order_relaxed);
 }
@@ -1020,9 +1134,17 @@ static inline int64_t agg_dense_slot(const agg_dense_ctx_t* c, int64_t r) {
     return slot;
 }
 
+static inline bool agg_dense_first(agg_dense_local_t* loc, int64_t slot) {
+    uint64_t bit = UINT64_C(1) << (slot % 64);
+    uint64_t* word = &loc->occupied[slot / 64];
+    if (*word & bit) return false;
+    *word |= bit;
+    return true;
+}
+
 /* Phase A: per-worker dense accumulate over chunk [start,end). */
 static void agg_dense_phaseA_fn(void* vctx, uint32_t wid, int64_t start, int64_t end) {
-    agg_dense_ctx_t* c = (agg_dense_ctx_t*)vctx;
+    agg_dense_ctx_t* c = vctx;
     agg_dense_local_t* loc = &c->locals[wid];
     if (loc->oom) return;
     int64_t n = end - start;
@@ -1045,6 +1167,11 @@ static void agg_dense_phaseA_fn(void* vctx, uint32_t wid, int64_t start, int64_t
                 int64_t r = rows[i];
                 int64_t slot = agg_dense_slot(c, r);   /* provably in [0,total_slots) */
                 gid[i] = (uint32_t)slot;
+                if (agg_dense_first(loc, slot)) {
+                    for (uint32_t a = 0; a < c->n_aggs; a++)
+                        c->vts[a]->init(loc->states + (size_t)slot * c->block + c->off[a]);
+                    loc->first_row[slot] = r;
+                }
                 if (r < loc->first_row[slot]) loc->first_row[slot] = r;
             }
             if (agg_sel_accum_chunk(&c->vd, &sc, loc->states, gid, rows, cn) != 0) {
@@ -1055,8 +1182,7 @@ static void agg_dense_phaseA_fn(void* vctx, uint32_t wid, int64_t start, int64_t
         return;
     }
 
-    uint32_t* cgid = ray_alloc_raw((size_t)n * sizeof(uint32_t));
-    if (!cgid) { loc->oom = 1; return; }
+    uint32_t cgid[8192];
 
     /* Hoist the per-row key-type dispatch out of the hot loop.  agg_dense_slot
      * calls agg_read_key_i64 — a switch(col->type) — on every row, and for SYM
@@ -1065,18 +1191,41 @@ static void agg_dense_phaseA_fn(void* vctx, uint32_t wid, int64_t start, int64_t
      * (type, width) and run a tight typed load loop the compiler can vectorize;
      * this is the dominant cost of a low-card group-by (a 7-group count was
      * ~70% here).  Multi-key keeps the generic composite path. */
-    if (c->n_keys == 1 && !c->dp->nullable[0]) {
+    if (c->n_keys == 1) {
         const void* kd = c->key_data[0];
         int64_t  kmin = c->dp->mins[0];
         int64_t  kstride = c->dp->strides[0];
+        bool nullable = c->dp->nullable[0];
+        int64_t null = c->dp->nulls[0], null_slot = c->dp->ranges[0] - 1;
         int64_t* fr = loc->first_row;
         uint32_t* cg = cgid;
-        #define DENSE_SLOT1(LD)                                            \
+        #define DENSE_SLOT1_LAZY(LD)                                            \
             for (int64_t r = start; r < end; r++) {                        \
-                int64_t slot = ((int64_t)(LD) - kmin) * kstride;           \
+                int64_t v = (int64_t)(LD);                               \
+                int64_t slot = nullable && v == null ? null_slot          \
+                    : (v - kmin) * kstride;                               \
                 cg[r - start] = (uint32_t)slot;                            \
-                if (r < fr[slot]) fr[slot] = r;                            \
+                if (agg_dense_first(loc, slot)) {                              \
+                    for (uint32_t a = 0; a < c->n_aggs; a++)               \
+                        c->vts[a]->init(loc->states + (size_t)slot * c->block + c->off[a]); \
+                    fr[slot] = r;                                        \
+                }                                                        \
             }
+        /* For domains whose initialization amortizes across task rows,
+         * avoid bitmap bookkeeping in the source-row loop. */
+        #define DENSE_SLOT1_EAGER(LD, SLOT)                                \
+            for (int64_t r = start; r < end; r++) {                        \
+                int64_t v = (int64_t)(LD);                                \
+                int64_t slot = (SLOT);                                    \
+                cg[r - start] = (uint32_t)slot;                           \
+                if (r < fr[slot]) fr[slot] = r;                           \
+            }
+        #define DENSE_SLOT1(LD) do {                                      \
+            if (loc->eager) {                                            \
+                if (!nullable) { DENSE_SLOT1_EAGER(LD, v - kmin); }        \
+                else { DENSE_SLOT1_EAGER(LD, v == null ? null_slot : v - kmin); } \
+            } else { DENSE_SLOT1_LAZY(LD); }                              \
+        } while (0)
         switch (c->key_cols[0]->type) {
             case RAY_I64: case RAY_TIMESTAMP: DENSE_SLOT1(((const int64_t*)kd)[r]); break;
             case RAY_I32: case RAY_DATE: case RAY_TIME: DENSE_SLOT1(((const int32_t*)kd)[r]); break;
@@ -1098,11 +1247,17 @@ static void agg_dense_phaseA_fn(void* vctx, uint32_t wid, int64_t start, int64_t
                 }
         }
         #undef DENSE_SLOT1
+        #undef DENSE_SLOT1_LAZY
+        #undef DENSE_SLOT1_EAGER
     } else {
         for (int64_t r = start; r < end; r++) {
             int64_t slot = agg_dense_slot(c, r);   /* provably in [0,total_slots) */
             cgid[r - start] = (uint32_t)slot;
-            if (r < loc->first_row[slot]) loc->first_row[slot] = r;
+            if (agg_dense_first(loc, slot)) {
+                for (uint32_t a = 0; a < c->n_aggs; a++)
+                    c->vts[a]->init(loc->states + (size_t)slot * c->block + c->off[a]);
+                loc->first_row[slot] = r;
+            }
         }
     }
 
@@ -1124,7 +1279,6 @@ static void agg_dense_phaseA_fn(void* vctx, uint32_t wid, int64_t start, int64_t
                                     cgid, vals, &valid, n, NULL);
         }
     }
-    ray_free_raw(cgid);
 }
 
 /* One slab per logical task, independent of the physical worker executing it.
@@ -1133,17 +1287,628 @@ static void agg_dense_task_fn(void* raw, uint32_t wid, int64_t start, int64_t en
     (void)wid;
     agg_dense_ctx_t* c = raw;
     int64_t chunk = c->task_rows / c->n_tasks;
-    for (int64_t task = start; task < end; task++)
-        agg_dense_phaseA_fn(c, (uint32_t)task, chunk * task,
-            task + 1 == c->n_tasks ? c->task_rows : chunk * (task + 1));
+    for (int64_t task = start; task < end; task++) {
+        agg_dense_local_t* loc = &c->locals[task];
+        /* Storage was allocated once by the coordinator. Initialize each
+         * slab on its consuming task, without another pool dispatch. */
+        agg_dense_local_init(loc, loc->slots, c->block);
+        if (loc->eager) for (int64_t s = 0; s < loc->slots; s++) {
+            loc->first_row[s] = INT64_MAX;
+            for (uint32_t a = 0; a < c->n_aggs; a++)
+                c->vts[a]->init(loc->states + (size_t)s * c->block + c->off[a]);
+        }
+        int64_t begin = chunk * task;
+        int64_t limit = task + 1 == c->n_tasks ? c->task_rows : chunk * (task + 1);
+        if (c->sel) agg_dense_phaseA_fn(c, (uint32_t)task, begin, limit);
+        else for (int64_t row = begin; row < limit && !agg_cancelled(); row += 8192)
+            agg_dense_phaseA_fn(c, (uint32_t)task, row, limit - row < 8192 ? limit : row + 8192);
+        if (loc->eager) for (int64_t s = 0; s < loc->slots; s++)
+            if (loc->first_row[s] != INT64_MAX)
+                loc->occupied[s / 64] |= UINT64_C(1) << (s % 64);
+    }
 }
 
 /* Parallel dense path.  Precondition: dp->ok, all aggs ACC_STREAMING, per-worker
  * budget already gated by the caller. */
+typedef struct {
+    const dense_plan_t* plan;
+    const int64_t* occupied;
+    int64_t part_slots;
+    uint32_t bits;
+    ray_t* out;
+    uint32_t component;
+} agg_dense_key_emit_t;
+static void agg_dense_key_emit(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid;
+    agg_dense_key_emit_t* c = raw;
+    void* data = ray_data(c->out);
+    for (int64_t r = start; r < end; r++) {
+        int64_t index = c->occupied[r];
+        int64_t slot = c->bits ? ((index % c->part_slots) << c->bits) + index / c->part_slots : index;
+        uint32_t k = c->component;
+        int64_t component = (slot / c->plan->strides[k]) % c->plan->ranges[k];
+        int64_t value = c->plan->nullable[k] && component == c->plan->ranges[k] - 1
+            ? c->plan->nulls[k] : c->plan->mins[k] + component;
+        write_col_i64(data, r, value, c->out->type, c->out->attrs);
+    }
+}
+
+/* Shared output stage. Takes ownership of states/first, borrows the
+ * prepared aggregate layout and descriptors. */
+static ray_t* agg_dense_finish(ray_t** key_cols, int64_t* key_syms, ray_op_ext_t* ext,
+        ray_pool_t* pool, const agg_vo_t* vo, const agg_desc_t* d,
+        int64_t total_slots, char* gstates, int64_t* gfirst,
+        const dense_plan_t* key_plan, int64_t key_part_slots, uint32_t key_bits) {
+    uint32_t n_keys = ext->n_keys, n_aggs = ext->n_aggs;
+    const agg_vtable_t** vts = vo->vts;
+    const size_t* off = vo->off;
+    size_t block = vo->block;
+    const int64_t* agg_syms = d->agg_syms;
+    /* ── Phase C: collect occupied slots in slot order, emit. ──
+     * Group-by output order is UNSPECIFIED, so we emit in dense-slot order
+     * (the natural build order) rather than sorting by first_row.  gfirst[s] is
+     * still the gather index (any member row) for the key columns. */
+    int64_t ng = 0;
+    for (int64_t s = 0; s < total_slots; s++) if (gfirst[s] != INT64_MAX) ng++;
+    ray_profile_tick("dense: freed slabs and counted groups");
+
+    int64_t* occupied_slot     = ray_alloc_raw((size_t)(ng > 0 ? ng : 1) * sizeof(int64_t));
+    int64_t* first_row_ordered = key_plan ? NULL : ray_alloc_raw((size_t)(ng > 0 ? ng : 1) * sizeof(int64_t));
+    if (!occupied_slot || (!key_plan && !first_row_ordered)) {
+        ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered);
+        agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
+        ray_free_raw(gstates); ray_free_raw(gfirst);
+        return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
+    }
+    { int64_t i = 0;
+      for (int64_t s = 0; s < total_slots; s++)
+          if (gfirst[s] != INT64_MAX) {
+              if (first_row_ordered) first_row_ordered[i] = gfirst[s];
+              occupied_slot[i] = s; i++;
+          }
+    }
+
+    ray_t* result = ray_table_new(n_keys + n_aggs);
+    if (!result || RAY_IS_ERR(result)) {
+        agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
+        ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered); ray_free_raw(gstates); ray_free_raw(gfirst);
+        return result ? result : ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
+    }
+
+    for (uint32_t k = 0; k < n_keys; k++) {
+        ray_t* kc = key_plan ? col_vec_new(key_cols[k], ng)
+                            : ray_group_gather(key_cols[k], first_row_ordered, ng);
+        if (!kc || RAY_IS_ERR(kc)) {
+            agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
+            ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered); ray_free_raw(gstates); ray_free_raw(gfirst);
+            ray_release(result); return kc ? kc : ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
+        }
+        if (key_plan) {
+            kc->len = ng;
+            if (ray_vec_may_have_nulls(key_cols[k])) kc->attrs |= RAY_ATTR_HAS_NULLS;
+            if (kc->type == RAY_SYM) ray_sym_vec_adopt_domain(kc, sym_domain_rep(key_cols[k]));
+            agg_dense_key_emit_t emit = {key_plan, occupied_slot, key_part_slots, key_bits, kc, k};
+            ray_pool_dispatch(pool, agg_dense_key_emit, &emit, ng);
+        }
+        result = ray_table_add_col(result, key_syms[k], kc);
+        ray_release(kc);
+    }
+
+    for (uint32_t a = 0; a < n_aggs; a++) {
+        /* Buffered top_n/bot_n produce a LIST cell per group (a native vector);
+         * median and all streaming aggs produce a scalar out_type cell. */
+        bool is_list = (vts[a]->out_type == RAY_LIST);
+        ray_t* out = is_list ? ray_list_new(ng)
+                             : ray_vec_new(vts[a]->out_type, ng);
+        if (!out || RAY_IS_ERR(out)) {
+            agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
+            ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered); ray_free_raw(gstates); ray_free_raw(gfirst);
+            ray_release(result); return out ? out : ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
+        }
+        out->len = ng;
+        int64_t kparam = (ext->agg_k ? ext->agg_k[a] : 0);
+        if (!is_list) {
+            agg_dense_emit_ctx_t emit = { .vt = vts[a], .out = out, .states = gstates,
+                .slots = occupied_slot, .block = block, .off = off[a], .param = kparam, .any_null = false };
+            ray_pool_dispatch(pool, agg_dense_emit_fn, &emit, ng);
+            if (atomic_load_explicit(&emit.any_null, memory_order_relaxed)) out->attrs |= RAY_ATTR_HAS_NULLS;
+        } else {
+            for (int64_t i = 0; i < ng; i++) {
+                ray_t* cell = vts[a]->finalize(gstates + (size_t)occupied_slot[i] * block + off[a], NULL, kparam);
+                out = ray_list_set(out, i, cell);   /* retains cell */
+                ray_release(cell);
+            }
+        }
+        int64_t agg_name = agg_result_col_name(agg_syms[a], ext->agg_ops[a]);
+        result = ray_table_add_col(result, agg_name, out);
+        ray_release(out);
+    }
+
+    /* Finalize is done reading the global slab → destroy its buffered per-group
+     * state exactly once before freeing the slab. */
+    agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
+    ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered); ray_free_raw(gstates); ray_free_raw(gfirst);
+    if (result && !RAY_IS_ERR(result) && agg_cancelled()) { ray_release(result); return ray_error("cancel", NULL); }
+    return result;
+}
+
+/* Key-owned partitions: each group is reduced exactly once. Source tasks
+ * histogram/scatter row IDs, then independently scheduled key partitions
+ * reduce those rows directly into disjoint output state. No state merge. */
+typedef struct {
+    uint32_t part;
+    uint64_t begin, end;
+    int64_t base;
+} agg_dense_partition_task_t;
+
+typedef struct {
+    ray_t* key;
+    ray_t** keys;
+    const void** key_data;
+    ray_t* selection_indices;
+    const int64_t* selected_rows;
+    const dense_plan_t* plan;
+    agg_valdesc_t values;
+    int64_t rows, part_slots;
+    uint32_t sources, parts, bits, n_tasks;
+    agg_dense_partition_task_t* tasks;
+    uint64_t* counts;
+    uint64_t* starts;
+    uint32_t* gids;
+    char* payload;
+    size_t record_size;
+    size_t* value_offsets;
+    size_t* value2_offsets;
+    char* states;
+    int64_t* first;
+    _Atomic(bool) failed;
+} agg_dense_partition_ctx_t;
+
+static void agg_dense_partition_count(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid;
+    agg_dense_partition_ctx_t* c = raw;
+    const void* data = ray_data(c->key);
+    for (int64_t task = start; task < end; task++) {
+        int64_t begin = c->rows / c->sources * task;
+        int64_t limit = task + 1 == c->sources ? c->rows : c->rows / c->sources * (task + 1);
+        uint64_t* count = c->counts + task * c->parts;
+        if (c->plan->n_keys > 1) {
+            for (int64_t r = begin; r < limit; r++) {
+                int64_t source = c->selected_rows ? c->selected_rows[r] : r;
+                int64_t slot = 0;
+                for (uint32_t k = 0; k < c->plan->n_keys; k++)
+                    slot += agg_dense_component(c->plan, k, agg_read_key_i64(c->keys[k], c->key_data[k], source)) * c->plan->strides[k];
+                c->gids[r] = (uint32_t)slot;
+                count[slot & (c->parts - 1)]++;
+            }
+            continue;
+        }
+        #define PART_COUNT(T) do { \
+            const T* p = data; \
+            for (int64_t r = begin; r < limit; r++) { \
+                uint32_t slot = (uint32_t)agg_dense_component(c->plan, 0, (int64_t)p[c->selected_rows ? c->selected_rows[r] : r]); \
+                c->gids[r] = slot; \
+                count[slot & (c->parts - 1)]++; \
+            } \
+        } while (0)
+        switch (c->key->type) {
+            case RAY_I64: case RAY_TIMESTAMP: PART_COUNT(int64_t); break;
+            case RAY_I32: case RAY_DATE: case RAY_TIME: PART_COUNT(int32_t); break;
+            case RAY_I16: PART_COUNT(int16_t); break;
+            case RAY_U8: case RAY_BOOL: PART_COUNT(uint8_t); break;
+            case RAY_SYM:
+                switch (c->key->attrs & RAY_SYM_W_MASK) {
+                    case RAY_SYM_W8: PART_COUNT(uint8_t); break;
+                    case RAY_SYM_W16: PART_COUNT(uint16_t); break;
+                    case RAY_SYM_W32: PART_COUNT(uint32_t); break;
+                    default: PART_COUNT(int64_t); break;
+                }
+                break;
+        }
+        #undef PART_COUNT
+    }
+}
+
+/* Resolve native widths outside the row loop. A runtime-sized memcpy per
+ * value dominated scatter for eight-byte inputs and mixed aggregates. */
+static void agg_dense_partition_field(agg_dense_partition_ctx_t* c, const void* data,
+        uint8_t width, size_t field, const uint64_t* starts, int64_t begin, int64_t end) {
+    uint64_t cursor[RAY_POOL_INIT_TASKS / 2];
+    assert(c->parts <= RAY_POOL_INIT_TASKS / 2);
+    memcpy(cursor, starts, c->parts * sizeof(*cursor));
+    #define SCATTER_FIELD(W) do { \
+        for (int64_t r = begin; r < end; r++) { \
+            uint32_t part = c->gids[r] & (c->parts - 1); \
+            memcpy(c->payload + cursor[part]++ * c->record_size + field, \
+                   (const char*)data + (size_t)(c->selected_rows ? c->selected_rows[r] : r) * (W), (W)); \
+        } \
+    } while (0)
+    switch (width) {
+        case 1: SCATTER_FIELD(1); break;
+        case 2: SCATTER_FIELD(2); break;
+        case 4: SCATTER_FIELD(4); break;
+        case 8: SCATTER_FIELD(8); break;
+    }
+    #undef SCATTER_FIELD
+}
+
+static void agg_dense_partition_scatter(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid;
+    agg_dense_partition_ctx_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        int64_t begin = c->rows / c->sources * task;
+        int64_t limit = task + 1 == c->sources ? c->rows : c->rows / c->sources * (task + 1);
+        const uint64_t* starts = c->counts + task * c->parts;
+        uint64_t cursor[RAY_POOL_INIT_TASKS / 2];
+        assert(c->parts <= RAY_POOL_INIT_TASKS / 2);
+        memcpy(cursor, starts, c->parts * sizeof(*cursor));
+        const agg_valdesc_t* vd = &c->values;
+        if (vd->n_aggs == 1 && vd->val_data[0] && !vd->val2_data[0]) {
+            #define SCATTER_UNARY(W) do { \
+                for (int64_t r = begin; r < limit; r++) { \
+                    uint32_t slot = c->gids[r]; \
+                    uint32_t gid = slot >> c->bits, part = slot & (c->parts - 1); \
+                    char* dst = c->payload + cursor[part]++ * (4 + (W)); \
+                    memcpy(dst, &gid, 4); \
+                    memcpy(dst + 4, (const char*)vd->val_data[0] + (size_t)(c->selected_rows ? c->selected_rows[r] : r) * (W), (W)); \
+                } \
+            } while (0)
+            switch (vd->val_esz[0]) {
+                case 1: SCATTER_UNARY(1); break;
+                case 2: SCATTER_UNARY(2); break;
+                case 4: SCATTER_UNARY(4); break;
+                case 8: SCATTER_UNARY(8); break;
+            }
+            #undef SCATTER_UNARY
+        } else {
+            /* Complete nearby records before advancing through a source
+             * range. Whole-column passes repeatedly read/write the same large
+             * output buffer when several input fields share each record. */
+            int64_t chunk_rows = (64 * 1024) / c->record_size;
+            if (chunk_rows > AGG_SEL_CHUNK) chunk_rows = AGG_SEL_CHUNK;
+            if (chunk_rows < 1) chunk_rows = 1;
+            uint64_t chunk_starts[RAY_POOL_INIT_TASKS / 2];
+            for (int64_t chunk = begin; chunk < limit; chunk += chunk_rows) {
+                int64_t chunk_end = limit - chunk < chunk_rows ? limit : chunk + chunk_rows;
+                memcpy(chunk_starts, cursor, c->parts * sizeof(*cursor));
+                for (int64_t r = chunk; r < chunk_end; r++) {
+                    uint32_t slot = c->gids[r], part = slot & (c->parts - 1), gid = slot >> c->bits;
+                    char* dst = c->payload + cursor[part]++ * c->record_size;
+                    memcpy(dst, &gid, 4);
+                }
+                size_t emitted = sizeof(uint32_t);
+                for (uint32_t a = 0; a < vd->n_aggs; a++) {
+                    if (vd->val_data[a] && c->value_offsets[a] >= emitted) {
+                        agg_dense_partition_field(c, vd->val_data[a], vd->val_esz[a], c->value_offsets[a], chunk_starts, chunk, chunk_end);
+                        emitted = c->value_offsets[a] + vd->val_esz[a];
+                    }
+                    if (vd->val2_data[a] && c->value2_offsets[a] >= emitted) {
+                        agg_dense_partition_field(c, vd->val2_data[a], vd->val2_esz[a], c->value2_offsets[a], chunk_starts, chunk, chunk_end);
+                        emitted = c->value2_offsets[a] + vd->val2_esz[a];
+                    }
+                }
+            }
+        }
+    }
+}
+
+static void agg_dense_payload_gather(char* dst, const char* src, size_t stride, uint8_t width, int64_t n) {
+    #define PAYLOAD_GATHER(W) for (int64_t i = 0; i < n; i++) \
+        memcpy(dst + (size_t)i * (W), src + (size_t)i * stride, (W))
+    switch (width) {
+        case 1: PAYLOAD_GATHER(1); break;
+        case 2: PAYLOAD_GATHER(2); break;
+        case 4: PAYLOAD_GATHER(4); break;
+        case 8: PAYLOAD_GATHER(8); break;
+        default: for (int64_t i = 0; i < n; i++) memcpy(dst + (size_t)i * width, src + (size_t)i * stride, width);
+    }
+    #undef PAYLOAD_GATHER
+}
+static int agg_dense_payload_accum(const agg_dense_partition_ctx_t* c, agg_sel_scratch_t* sc,
+        char* states, const uint32_t* gids, uint64_t start, int64_t n) {
+    const agg_valdesc_t* vd = &c->values;
+    const char* records = c->payload + start * c->record_size;
+    for (uint32_t a = 0; a < vd->n_aggs; a++) {
+        if (vd->val_data[a]) {
+            if (!sc->gv[a]) sc->gv[a] = ray_alloc_raw((size_t)AGG_SEL_CHUNK * vd->val_esz[a]);
+            if (!sc->gv[a]) return -1;
+            agg_dense_payload_gather(sc->gv[a], records + c->value_offsets[a], c->record_size, vd->val_esz[a], n);
+        }
+        if (vd->val2_data[a]) {
+            if (!sc->gy[a]) sc->gy[a] = ray_alloc_raw((size_t)AGG_SEL_CHUNK * vd->val2_esz[a]);
+            if (!sc->gy[a]) return -1;
+            agg_dense_payload_gather(sc->gy[a], records + c->value2_offsets[a], c->record_size, vd->val2_esz[a], n);
+        }
+        ray_valid_t vx = {sc->gv[a], vd->val_types[a], vd->val_data[a] && vd->val_hasnull[a]};
+        ray_valid_t vy = {sc->gy[a], vd->val2_types[a], vd->val2_hasnull[a]};
+        if (vd->vts[a]->update_batch2)
+            vd->vts[a]->update_batch2(states + vd->off[a], vd->block, gids, sc->gv[a], sc->gy[a], &vx, &vy, n, NULL);
+        else vd->vts[a]->update_batch(states + vd->off[a], vd->block, gids, sc->gv[a], &vx, n, NULL);
+    }
+    return 0;
+}
+
+static void agg_dense_partition_reduce(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid;
+    agg_dense_partition_ctx_t* c = raw;
+    const agg_valdesc_t* vd = &c->values;
+    agg_sel_scratch_t scratch;
+    if (!agg_sel_scratch_init(&scratch, vd->n_aggs)) {
+        atomic_store_explicit(&c->failed, true, memory_order_relaxed);
+        return;
+    }
+    uint32_t gids[AGG_SEL_CHUNK];
+    for (int64_t task = start; task < end && !agg_cancelled(); task++) {
+        const agg_dense_partition_task_t* work = &c->tasks[task];
+        int64_t base = work->base;
+        char* states = c->states + (size_t)base * vd->block;
+        int64_t* first = c->first + base;
+        for (int64_t slot = 0; slot < c->part_slots; slot++) {
+            first[slot] = INT64_MAX;
+            for (uint32_t a = 0; a < vd->n_aggs; a++)
+                vd->vts[a]->init(states + (size_t)slot * vd->block + vd->off[a]);
+        }
+        for (uint64_t at = work->begin; at < work->end; at += AGG_SEL_CHUNK) {
+            int64_t n = work->end - at < AGG_SEL_CHUNK ? work->end - at : AGG_SEL_CHUNK;
+            for (int64_t i = 0; i < n; i++) {
+                uint32_t gid;
+                memcpy(&gid, c->payload + (at + i) * c->record_size, 4);
+                gids[i] = gid;
+                first[gid] = 0; /* key is reconstructed from the partition/slot */
+            }
+            if (agg_dense_payload_accum(c, &scratch, states, gids, at, n) != 0) {
+                atomic_store_explicit(&c->failed, true, memory_order_relaxed);
+                break;
+            }
+        }
+    }
+    agg_sel_scratch_free(&scratch);
+}
+
+static void agg_dense_partition_merge(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid;
+    agg_dense_partition_ctx_t* c = raw;
+    const agg_valdesc_t* vd = &c->values;
+    for (int64_t part = start; part < end; part++) {
+        int64_t dst = part * c->part_slots;
+        for (uint32_t task = 0; task < c->n_tasks; task++) {
+            const agg_dense_partition_task_t* work = &c->tasks[task];
+            if (work->part != part || work->base == dst) continue;
+            for (int64_t slot = 0; slot < c->part_slots; slot++) {
+                int64_t src = work->base + slot, target = dst + slot;
+                if (c->first[src] == INT64_MAX) continue;
+                if (c->first[src] < c->first[target]) c->first[target] = c->first[src];
+                for (uint32_t a = 0; a < vd->n_aggs; a++)
+                    vd->vts[a]->merge(c->states + (size_t)target * vd->block + vd->off[a],
+                                      c->states + (size_t)src * vd->block + vd->off[a], NULL);
+            }
+        }
+    }
+}
+
+/* Pack each input column once, even when several unary/binary aggregates
+ * consume it. Planning and execution use the same native-byte layout. */
+static size_t agg_partition_record(const agg_desc_t* d, uint32_t n,
+        size_t* x_offsets, size_t* y_offsets) {
+    size_t bytes = sizeof(uint32_t);
+    for (uint32_t f = 0; f < 2 * n; f++) {
+        uint32_t a = f / 2;
+        const void* data = f % 2 ? d->val2_data[a] : d->val_data[a];
+        uint8_t width = f % 2 ? d->val2_esz[a] : d->val_esz[a];
+        size_t offset = bytes;
+        bool found = false;
+        for (uint32_t prev = 0; data && prev < f; prev++) {
+            uint32_t b = prev / 2;
+            const void* other = prev % 2 ? d->val2_data[b] : d->val_data[b];
+            uint8_t size = prev % 2 ? d->val2_esz[b] : d->val_esz[b];
+            if (other == data && size == width) {
+                if (x_offsets) offset = prev % 2 ? y_offsets[b] : x_offsets[b];
+                found = true; break;
+            }
+        }
+        if (data && !found) bytes += width;
+        if (x_offsets) (f % 2 ? y_offsets : x_offsets)[a] = offset;
+    }
+    return bytes;
+}
+
+static uint32_t agg_dense_partition_parts(uint32_t sources, int64_t slots) {
+    /* Leave room for skew subtasks; dispatch_n must never truncate work. */
+    _Static_assert(RAY_POOL_INIT_TASKS >= 2 &&
+        (RAY_POOL_INIT_TASKS & (RAY_POOL_INIT_TASKS - 1)) == 0,
+        "dense partition cursor capacity must be a power of two");
+    uint32_t parts = 1;
+    while (parts < RAY_POOL_INIT_TASKS / 2 &&
+           (parts < sources * 4 || (int64_t)parts * 32768 < slots)) parts *= 2;
+    return parts;
+}
+
+static ray_t* agg_dense_partitioned(ray_t** key_cols, int64_t* key_syms, ray_op_ext_t* ext,
+        ray_pool_t* pool, const dense_plan_t* plan, int64_t rows,
+        const agg_vo_t* vo, const agg_desc_t* d, ray_t* selection) {
+    uint32_t workers = ray_pool_total_workers(pool);
+    uint32_t sources = workers;
+    if (sources > RAY_POOL_INIT_TASKS / 2) sources = RAY_POOL_INIT_TASKS / 2;
+    uint32_t parts = agg_dense_partition_parts(workers, plan->total_slots);
+    uint32_t bits = (uint32_t)__builtin_ctz(parts);
+    uint32_t split_budget = sources * 4 < parts ? sources * 4 : parts;
+    int64_t part_slots = ((plan->total_slots + parts - 1) / parts + 7) & ~INT64_C(7);
+    int64_t slots = part_slots * parts;
+    agg_dense_partition_ctx_t c = {
+        .key = key_cols[0], .keys = key_cols, .key_data = d->key_data,
+        .plan = plan, .rows = rows, .part_slots = part_slots,
+        .sources = sources, .parts = parts, .bits = bits, .failed = false,
+        .values = { .n_aggs = ext->n_aggs, .vts = vo->vts, .off = vo->off, .block = vo->block,
+            .val_data = d->val_data, .val_types = d->val_types, .val_hasnull = d->val_hasnull, .val_esz = d->val_esz,
+            .val2_data = d->val2_data, .val2_types = d->val2_types, .val2_hasnull = d->val2_hasnull, .val2_esz = d->val2_esz }
+    };
+    if (selection) {
+        c.selection_indices = ray_rowsel_to_indices(selection);
+        if (!c.selection_indices || RAY_IS_ERR(c.selection_indices)) goto failed;
+        c.selected_rows = ray_data(c.selection_indices);
+    }
+    c.counts = ray_calloc_raw(((size_t)sources * parts + parts + 1) * sizeof(uint64_t));
+    c.gids = ray_alloc_raw((size_t)rows * sizeof(uint32_t));
+    c.value_offsets = ray_alloc_raw((size_t)ext->n_aggs * 2 * sizeof(size_t));
+    if (!c.value_offsets) goto failed;
+    c.value2_offsets = c.value_offsets + ext->n_aggs;
+    c.record_size = agg_partition_record(d, ext->n_aggs, c.value_offsets, c.value2_offsets);
+    c.payload = ray_alloc_raw((size_t)rows * c.record_size);
+    c.tasks = ray_alloc_raw((size_t)(parts + split_budget) * sizeof(*c.tasks));
+    if (!c.counts || !c.gids || !c.tasks || !c.payload) goto failed;
+    c.starts = c.counts + (size_t)sources * parts;
+    ray_pool_dispatch_n(pool, agg_dense_partition_count, &c, sources);
+    if (agg_cancelled()) goto failed;
+    uint64_t offset = 0;
+    for (uint32_t part = 0; part < parts; part++) {
+        c.starts[part] = offset;
+        for (uint32_t task = 0; task < sources; task++) {
+            size_t at = (size_t)task * parts + part;
+            uint64_t n = c.counts[at]; c.counts[at] = offset; offset += n;
+        }
+    }
+    c.starts[parts] = offset;
+    uint64_t grain = ((uint64_t)rows + split_budget - 1) / split_budget;
+    int64_t extra_slots = 0;
+    for (uint32_t part = 0; part < parts; part++) {
+        uint64_t begin = c.starts[part], end = c.starts[part + 1];
+        /* Even empty partitions own initialized output slots. */
+        do {
+            uint64_t limit = end - begin < grain ? end : begin + grain;
+            int64_t base = begin == c.starts[part] ? (int64_t)part * part_slots : slots + extra_slots;
+            if (base >= slots) extra_slots += part_slots;
+            c.tasks[c.n_tasks++] = (agg_dense_partition_task_t){part, begin, limit, base};
+            begin = limit;
+        } while (begin < end);
+    }
+    c.states = ray_alloc_raw((size_t)(slots + extra_slots) * vo->block);
+    c.first = ray_alloc_raw((size_t)(slots + extra_slots) * sizeof(int64_t));
+    if (!c.states || !c.first) goto failed;
+    ray_profile_tick("dense partition: histogram");
+    ray_pool_dispatch_n(pool, agg_dense_partition_scatter, &c, sources);
+    if (agg_cancelled()) goto failed;
+    ray_profile_tick("dense partition: scattered rows");
+    ray_pool_dispatch_n(pool, agg_dense_partition_reduce, &c, c.n_tasks);
+    if (agg_cancelled() || atomic_load_explicit(&c.failed, memory_order_relaxed)) goto failed;
+    ray_profile_tick("dense partition: reduced groups");
+    ray_pool_dispatch_n(pool, agg_dense_partition_merge, &c, parts);
+    if (agg_cancelled()) goto failed;
+    ray_profile_tick("dense partition: merged split partitions");
+    ray_free_raw(c.counts); ray_free_raw(c.gids); ray_free_raw(c.tasks);
+    ray_free_raw(c.payload); ray_free_raw(c.value_offsets); ray_release(c.selection_indices);
+    route_stats.dense_strategy = AGG_DENSE_PARTITIONED;
+    route_stats.dense_tasks = c.n_tasks;
+    route_stats.dense_local_slots = slots + extra_slots;
+    return agg_dense_finish(key_cols, key_syms, ext, pool, vo, d, slots, c.states, c.first, plan, part_slots, bits);
+failed:
+    ray_free_raw(c.counts); ray_free_raw(c.gids); ray_free_raw(c.tasks);
+    ray_free_raw(c.payload); ray_free_raw(c.value_offsets); ray_release(c.selection_indices); ray_free_raw(c.states); ray_free_raw(c.first);
+    return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
+}
+
+typedef struct {
+    ray_t* key;
+    const dense_plan_t* plan;
+    const agg_vo_t* layout;
+    const agg_desc_t* desc;
+    uint32_t n_aggs;
+    char* states;
+    _Atomic(uint64_t)* occupied;
+    int64_t* first;
+} agg_dense_shared_ctx_t;
+
+static void agg_dense_shared_init(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid;
+    agg_dense_shared_ctx_t* c = raw;
+    const agg_vo_t* vo = c->layout;
+    for (int64_t s = start; s < end; s++)
+        for (uint32_t a = 0; a < c->n_aggs; a++)
+            vo->vts[a]->init(c->states + (size_t)s * vo->block + vo->off[a]);
+}
+
+static void agg_dense_shared_rows(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid;
+    agg_dense_shared_ctx_t* c = raw;
+    const agg_vo_t* vo = c->layout;
+    const agg_desc_t* d = c->desc;
+    const void* data = ray_data(c->key);
+    uint32_t gids[8192];
+    for (int64_t begin = start; begin < end && !agg_cancelled(); begin += 8192) {
+        int64_t n = end - begin < 8192 ? end - begin : 8192;
+        #define SHARED_GIDS(T) do { \
+            const T* p = data; \
+            for (int64_t i = 0; i < n; i++) { \
+                uint32_t slot = (uint32_t)agg_dense_component(c->plan, 0, (int64_t)p[begin + i]); \
+                gids[i] = slot; \
+                uint64_t bit = UINT64_C(1) << (slot % 64); \
+                _Atomic(uint64_t)* word = &c->occupied[slot / 64]; \
+                if (!(atomic_load_explicit(word, memory_order_relaxed) & bit)) \
+                    atomic_fetch_or_explicit(word, bit, memory_order_relaxed); \
+            } \
+        } while (0)
+        switch (c->key->type) {
+            case RAY_I64: case RAY_TIMESTAMP: SHARED_GIDS(int64_t); break;
+            case RAY_I32: case RAY_DATE: case RAY_TIME: SHARED_GIDS(int32_t); break;
+            case RAY_I16: SHARED_GIDS(int16_t); break;
+            case RAY_U8: case RAY_BOOL: SHARED_GIDS(uint8_t); break;
+            case RAY_SYM:
+                switch (c->key->attrs & RAY_SYM_W_MASK) {
+                    case RAY_SYM_W8: SHARED_GIDS(uint8_t); break;
+                    case RAY_SYM_W16: SHARED_GIDS(uint16_t); break;
+                    case RAY_SYM_W32: SHARED_GIDS(uint32_t); break;
+                    default: SHARED_GIDS(int64_t); break;
+                }
+                break;
+        }
+        #undef SHARED_GIDS
+        for (uint32_t a = 0; a < c->n_aggs; a++) {
+            const void* vals = (const char*)d->val_data[a] + (size_t)begin * d->val_esz[a];
+            ray_valid_t valid = {vals, d->val_types[a], d->val_hasnull[a]};
+            vo->vts[a]->update_shared(c->states + vo->off[a], vo->block, gids, vals, &valid, n);
+        }
+    }
+}
+
+static void agg_dense_shared_occupied(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid;
+    agg_dense_shared_ctx_t* c = raw;
+    for (int64_t s = start; s < end; s++)
+        c->first[s] = atomic_load_explicit(&c->occupied[s / 64], memory_order_relaxed)
+            & (UINT64_C(1) << (s % 64)) ? 0 : INT64_MAX;
+}
+
+static ray_t* agg_dense_shared(ray_t** key_cols, int64_t* key_syms, ray_op_ext_t* ext,
+        ray_pool_t* pool, const dense_plan_t* plan, int64_t rows,
+        const agg_vo_t* vo, const agg_desc_t* d) {
+    int64_t slots = plan->total_slots;
+    agg_dense_shared_ctx_t c = {.key = key_cols[0], .plan = plan, .layout = vo, .desc = d, .n_aggs = ext->n_aggs};
+    c.states = ray_alloc_raw((size_t)slots * vo->block);
+    c.first = ray_alloc_raw((size_t)slots * sizeof(int64_t));
+    c.occupied = ray_alloc_raw(((size_t)slots + 63) / 64 * sizeof(*c.occupied));
+    if (!c.states || !c.first || !c.occupied) goto failed;
+    for (int64_t w = 0; w < (slots + 63) / 64; w++) atomic_init(&c.occupied[w], 0);
+    ray_pool_dispatch(pool, agg_dense_shared_init, &c, slots);
+    ray_profile_tick("dense shared: initialized states");
+    ray_pool_dispatch(pool, agg_dense_shared_rows, &c, rows);
+    if (agg_cancelled()) goto failed;
+    ray_profile_tick("dense shared: reduced rows");
+    ray_pool_dispatch(pool, agg_dense_shared_occupied, &c, slots);
+    if (agg_cancelled()) goto failed;
+    ray_profile_tick("dense shared: collected occupancy");
+    ray_free_raw(c.occupied);
+    route_stats.dense_strategy = AGG_DENSE_SHARED;
+    route_stats.dense_tasks = ray_pool_total_workers(pool);
+    route_stats.dense_local_slots = slots;
+    return agg_dense_finish(key_cols, key_syms, ext, pool, vo, d, slots, c.states, c.first, plan, slots, 0);
+failed:
+    ray_free_raw(c.states); ray_free_raw(c.first); ray_free_raw(c.occupied);
+    return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
+}
+
 static ray_t* exec_group_v2_parallel_dense(
         ray_graph_t* g, ray_op_t* op, ray_t* tbl,
         ray_t** key_cols, int64_t* key_syms, ray_op_ext_t* ext, int64_t nrows,
-        ray_pool_t* pool, const dense_plan_t* dp, uint32_t nw,
+        ray_pool_t* pool, const dense_plan_t* dp, uint32_t nw, agg_dense_strategy_t strategy,
         ray_t* sel, const int64_t* sel_prefix, int64_t n_sel) {
     uint32_t n_keys = ext->n_keys, n_aggs = ext->n_aggs;
     int64_t total_slots = dp->total_slots;
@@ -1160,27 +1925,61 @@ static ray_t* exec_group_v2_parallel_dense(
     const bool* val_hasnull = d.val_hasnull; const uint8_t* val_esz = d.val_esz;
     const void** val2_data = d.val2_data; const int8_t* val2_types = d.val2_types;
     const bool* val2_hasnull = d.val2_hasnull; const uint8_t* val2_esz = d.val2_esz;
-    const int64_t* agg_syms = d.agg_syms;
 
-    agg_dense_local_t* locals = ray_calloc_raw((size_t)((size_t)nw) * (sizeof(agg_dense_local_t)));
+    if (strategy == AGG_DENSE_SHARED) {
+        ray_t* result = agg_dense_shared(key_cols, key_syms, ext, pool, dp, nrows, &vo, &d);
+        agg_vo_free(&vo); agg_desc_free(&d);
+        return result;
+    }
+    if (strategy == AGG_DENSE_PARTITIONED) {
+        ray_t* result = agg_dense_partitioned(key_cols, key_syms, ext, pool, dp, sel ? n_sel : nrows, &vo, &d, sel);
+        agg_vo_free(&vo); agg_desc_free(&d);
+        return result;
+    }
+    route_stats.dense_strategy = AGG_DENSE_TASK_LOCAL;
+    size_t metadata_bytes = ((size_t)nw * sizeof(agg_dense_local_t) + 63) & ~(size_t)63;
+    size_t local_bytes = metadata_bytes + 63;
+    for (uint32_t w = 0; w < nw; w++) {
+        size_t slots = total_slots;
+        size_t bytes = slots * (block + sizeof(int64_t)) + (slots + 63) / 64 * sizeof(uint64_t);
+        local_bytes += (bytes + 63) & ~(size_t)63;
+    }
+    /* One query-owned allocation avoids concurrent allocator contention and
+     * gives repeated queries one stable scratch size to reuse. Task slices are
+     * cache-line aligned and written only by their owning task. */
+    agg_dense_local_t* locals = ray_alloc_raw(local_bytes);
     if (!locals) { agg_vo_free(&vo); agg_desc_free(&d); return ray_error(agg_cancelled() ? "cancel" : "oom", NULL); }
+    memset(locals, 0, metadata_bytes);
+    char* cursor = (char*)(((uintptr_t)locals + metadata_bytes + 63) & ~(uintptr_t)63);
+    for (uint32_t w = 0; w < nw; w++) {
+        locals[w].slots = total_slots;
+        /* Eager initialization amortizes when a task processes at least
+         * two rows per possible slot. It preserves a tight row loop for
+         * densely occupied domains; sparse worker slices remain lazy. */
+        locals[w].eager = !sel && n_keys == 1 && total_slots <= nrows / nw / 2;
+        if (locals[w].eager && total_slots > 1) {
+            /* A clustered source range may visit only a small part of the
+             * global domain. Sampling chooses initialization work only;
+             * every actual row still initializes its state on the lazy path. */
+            int64_t begin = nrows / nw * w;
+            int64_t end = w + 1 == nw ? nrows : nrows / nw * (w + 1);
+            int64_t low = total_slots, high = 0;
+            for (int64_t sample = 0; sample < 64; sample++) {
+                int64_t row = begin + (end - begin - 1) * sample / 63;
+                int64_t slot = agg_dense_component(dp, 0, agg_read_key_i64(key_cols[0], key_data[0], row));
+                if (slot < low) low = slot;
+                if (slot > high) high = slot;
+            }
+            locals[w].eager = high - low + 1 >= total_slots - total_slots / 4;
+        }
+        size_t slots = locals[w].slots;
+        size_t bytes = slots * (block + sizeof(int64_t)) + (slots + 63) / 64 * sizeof(uint64_t);
+        locals[w].states = cursor;
+        cursor += (bytes + 63) & ~(size_t)63;
+    }
     agg_dense_merge_ctx_t merge_ctx = { .locals = locals, .slots = total_slots,
         .vts = vts, .off = off, .block = block, .n_aggs = n_aggs, .nw = nw };
-    ray_pool_dispatch_n(pool, agg_dense_init_fn, &merge_ctx, nw);
-    ray_profile_tick("dense: initialized slabs");
-    int alloc_oom = 0;
-    for (uint32_t w = 0; w < nw; w++) if (!locals[w].ready) alloc_oom = 1;
-    if (alloc_oom) {
-        /* Only the fully-init'd slabs carry valid (destroyable) buffered state;
-         * the slab that failed init never ran its per-slot init → its bytes are
-         * uninitialized and must NOT be destroy'd (would free a garbage ptr). */
-        for (uint32_t w = 0; w < nw; w++)
-            if (locals[w].ready) agg_dense_slab_destroy_states(locals[w].states, total_slots, vts, off, block, n_aggs);
-        for (uint32_t w = 0; w < nw; w++) agg_dense_local_destroy(&locals[w]);
-        ray_free_raw(locals);
-        agg_vo_free(&vo); agg_desc_free(&d);
-        return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
-    }
+    ray_profile_tick("dense: allocated slabs");
 
     agg_dense_ctx_t ctx = {
         .key_cols = key_cols, .key_data = key_data, .n_keys = n_keys, .dp = dp,
@@ -1202,21 +2001,22 @@ static ray_t* exec_group_v2_parallel_dense(
     for (uint32_t w = 0; w < nw; w++)
         if (locals[w].oom || agg_cancelled()) {
             for (uint32_t i = 0; i < nw; i++)
-                agg_dense_slab_destroy_states(locals[i].states, total_slots, vts, off, block, n_aggs);
-            for (uint32_t i = 0; i < nw; i++) agg_dense_local_destroy(&locals[i]);
+                agg_dense_local_destroy_states(&locals[i], vts, off, block, n_aggs);
             ray_free_raw(locals);
             agg_vo_free(&vo); agg_desc_free(&d);
             return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
         }
 
-    /* ── Phase B: merge per-worker slabs into a global slab (serial) ── */
+    /* dispatch_n has joined every task. If cancellation skipped a task, the
+     * check above returns before reading its bitmap; destroy also checks ready.
+     * Cancellation after this point cannot uninitialize a completed slab. */
+    /* ── Phase B: merge task slabs into a global slab in parallel ── */
     char*    gstates  = ray_alloc_raw((size_t)total_slots * block);
     int64_t* gfirst   = ray_alloc_raw((size_t)total_slots * sizeof(int64_t));
     if (!gstates || !gfirst) {
         ray_free_raw(gstates); ray_free_raw(gfirst);
         for (uint32_t i = 0; i < nw; i++)
-            agg_dense_slab_destroy_states(locals[i].states, total_slots, vts, off, block, n_aggs);
-        for (uint32_t i = 0; i < nw; i++) agg_dense_local_destroy(&locals[i]);
+            agg_dense_local_destroy_states(&locals[i], vts, off, block, n_aggs);
         ray_free_raw(locals);
         agg_vo_free(&vo); agg_desc_free(&d);
         return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
@@ -1225,7 +2025,11 @@ static ray_t* exec_group_v2_parallel_dense(
     ray_pool_dispatch(pool, agg_dense_merge_fn, &merge_ctx, total_slots);
     ray_profile_tick("dense: merged slabs");
     if (agg_cancelled()) {
-        for (uint32_t i = 0; i < nw; i++) agg_dense_local_destroy(&locals[i]);
+        for (uint32_t i = 0; i < nw; i++) {
+            agg_dense_local_destroy_states(&locals[i], vts, off, block, n_aggs);
+        }
+        /* A cancelled merge may leave global slots uninitialized. Streaming
+         * vtables own no separately allocated global state. */
         ray_free_raw(locals); ray_free_raw(gstates); ray_free_raw(gfirst);
         agg_vo_free(&vo); agg_desc_free(&d); return ray_error("cancel", NULL);
     }
@@ -1233,94 +2037,12 @@ static ray_t* exec_group_v2_parallel_dense(
      * buffers are now redundant.  Destroy (free) them exactly once before
      * releasing the worker slabs.  No-op for all-streaming. */
     for (uint32_t i = 0; i < nw; i++)
-        agg_dense_slab_destroy_states(locals[i].states, total_slots, vts, off, block, n_aggs);
-    for (uint32_t i = 0; i < nw; i++) agg_dense_local_destroy(&locals[i]);
+        agg_dense_local_destroy_states(&locals[i], vts, off, block, n_aggs);
     ray_free_raw(locals);
 
-    /* ── Phase C: collect occupied slots in slot order, emit. ──
-     * Group-by output order is UNSPECIFIED, so we emit in dense-slot order
-     * (the natural build order) rather than sorting by first_row.  gfirst[s] is
-     * still the gather index (any member row) for the key columns. */
-    int64_t ng = 0;
-    for (int64_t s = 0; s < total_slots; s++) if (gfirst[s] != INT64_MAX) ng++;
-    ray_profile_tick("dense: freed slabs and counted groups");
-
-    int64_t* occupied_slot     = ray_alloc_raw((size_t)(ng > 0 ? ng : 1) * sizeof(int64_t));
-    int64_t* first_row_ordered = ray_alloc_raw((size_t)(ng > 0 ? ng : 1) * sizeof(int64_t));
-    if (!occupied_slot || !first_row_ordered) {
-        ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered);
-        agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
-        ray_free_raw(gstates); ray_free_raw(gfirst);
-        agg_vo_free(&vo); agg_desc_free(&d);
-        return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
-    }
-    { int64_t i = 0;
-      for (int64_t s = 0; s < total_slots; s++)
-          if (gfirst[s] != INT64_MAX) { first_row_ordered[i] = gfirst[s]; occupied_slot[i] = s; i++; }
-    }
-
-    ray_t* result = ray_table_new(n_keys + n_aggs);
-    if (!result || RAY_IS_ERR(result)) {
-        agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
-        ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered); ray_free_raw(gstates); ray_free_raw(gfirst);
-        agg_vo_free(&vo); agg_desc_free(&d);
-        return result ? result : ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
-    }
-
-    for (uint32_t k = 0; k < n_keys; k++) {
-        ray_t* kc = agg_gather_key_col(key_cols[k], first_row_ordered, ng);
-        if (!kc || RAY_IS_ERR(kc)) {
-            agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
-            ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered); ray_free_raw(gstates); ray_free_raw(gfirst);
-            agg_vo_free(&vo); agg_desc_free(&d);
-            ray_release(result); return kc ? kc : ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
-        }
-        result = ray_table_add_col(result, key_syms[k], kc);
-        ray_release(kc);
-    }
-
-    for (uint32_t a = 0; a < n_aggs; a++) {
-        /* Buffered top_n/bot_n produce a LIST cell per group (a native vector);
-         * median and all streaming aggs produce a scalar out_type cell. */
-        bool is_list = (vts[a]->out_type == RAY_LIST);
-        ray_t* out = is_list ? ray_list_new(ng)
-                             : ray_vec_new(vts[a]->out_type, ng);
-        if (!out || RAY_IS_ERR(out)) {
-            agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
-            ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered); ray_free_raw(gstates); ray_free_raw(gfirst);
-            agg_vo_free(&vo); agg_desc_free(&d);
-            ray_release(result); return out ? out : ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
-        }
-        out->len = ng;
-        int64_t kparam = (ext->agg_k ? ext->agg_k[a] : 0);
-        if (!is_list) {
-            agg_dense_emit_ctx_t emit = { .vt = vts[a], .out = out, .states = gstates,
-                .slots = occupied_slot, .block = block, .off = off[a], .param = kparam, .any_null = false };
-            ray_pool_dispatch(pool, agg_dense_emit_fn, &emit, ng);
-            if (atomic_load_explicit(&emit.any_null, memory_order_relaxed)) out->attrs |= RAY_ATTR_HAS_NULLS;
-        } else {
-        for (int64_t i = 0; i < ng; i++) {
-            ray_t* cell = vts[a]->finalize(gstates + (size_t)occupied_slot[i] * block + off[a], NULL, kparam);
-            if (is_list) {
-                out = ray_list_set(out, i, cell);   /* retains cell */
-                ray_release(cell);                  /* drop our local ref */
-            } else {
-                agg_put_cell(out, i, cell);
-                ray_release(cell);
-            }
-        }
-        }
-        int64_t agg_name = agg_result_col_name(agg_syms[a], ext->agg_ops[a]);
-        result = ray_table_add_col(result, agg_name, out);
-        ray_release(out);
-    }
-
-    /* Finalize is done reading the global slab → destroy its buffered per-group
-     * state exactly once before freeing the slab. */
-    agg_dense_slab_destroy_states(gstates, total_slots, vts, off, block, n_aggs);
-    ray_free_raw(occupied_slot); ray_free_raw(first_row_ordered); ray_free_raw(gstates); ray_free_raw(gfirst);
+    ray_t* result = agg_dense_finish(key_cols, key_syms, ext, pool, &vo, &d,
+                                      total_slots, gstates, gfirst, NULL, 0, 0);
     agg_vo_free(&vo); agg_desc_free(&d);
-    if (result && !RAY_IS_ERR(result) && agg_cancelled()) { ray_release(result); return ray_error("cancel", NULL); }
     return result;
 }
 
@@ -1610,7 +2332,7 @@ static ray_t* exec_group_v2_parallel_smallhash(
             if (gg < 0) {
                 agg_sh_destroy(&gt);
                 for (uint32_t i = 0; i < nw; i++) agg_sh_destroy(&locals[i]);
-                ray_free_raw(locals);
+            ray_free_raw(locals);
                 agg_desc_free(&d);
                 return ray_error("oom", NULL);
             }
@@ -1632,7 +2354,7 @@ static ray_t* exec_group_v2_parallel_smallhash(
         return result ? result : ray_error("oom", NULL);
     }
     for (uint32_t k = 0; k < n_keys; k++) {
-        ray_t* kc = agg_gather_key_col(key_cols[k], gt.first_row, ng);
+        ray_t* kc = ray_group_gather(key_cols[k], gt.first_row, ng);
         if (!kc || RAY_IS_ERR(kc)) {
             agg_sh_destroy(&gt); agg_desc_free(&d); ray_release(result);
             return kc ? kc : ray_error("oom", NULL);
@@ -1649,9 +2371,8 @@ static ray_t* exec_group_v2_parallel_smallhash(
         out->len = ng;
         int64_t kparam = (ext->agg_k ? ext->agg_k[a] : 0);
         for (int64_t i = 0; i < ng; i++) {
-            ray_t* cell = vts[a]->finalize(gt.states + (size_t)i * block + off[a], NULL, kparam);
-            agg_put_cell(out, i, cell);
-            ray_release(cell);
+            if (agg_finalize_value(vts[a], gt.states + (size_t)i * block + off[a], out, i, kparam))
+                out->attrs |= RAY_ATTR_HAS_NULLS;
         }
         int64_t agg_name = agg_result_col_name(agg_syms[a], ext->agg_ops[a]);
         result = ray_table_add_col(result, agg_name, out);
@@ -1765,10 +2486,10 @@ static void agg_radix_parts_destroy(agg_radix_part_t* parts, uint32_t nparts,
  *
  * agg_read_key_i64 widened each key into int64 (sign-extend for signed types,
  * zero-extend for U8/BOOL/SYM intern ids); write_col_i64 is its exact inverse,
- * so the round-trip stores byte-identical payload to what agg_gather_key_col's
+ * so the round-trip stores byte-identical payload to what ray_group_gather's
  * raw memcpy of the original column produced — for SYM it routes through
  * ray_write_sym at the matching width, and the domain is adopted from src_col
- * just like agg_gather_key_col.  Caller owns the returned column.
+ * just like ray_group_gather.  Caller owns the returned column.
  * Keys are admitted only as fixed-width integer/temporal/SYM columns
  * (agg_v2_can_handle) — there is no STR/variable-width emit path here — but the
  * key COUNT is unbounded on the radix strategy (only dense direct-index routing
@@ -2157,7 +2878,7 @@ static void agg_radix_group_fn(void* vctx, uint32_t wid, int64_t start, int64_t
  *   - Each worker writes disjoint output element ranges → no payload contention.
  *   - Per-group buffered states are read (finalize) here; the buffered destroy
  *     stays SERIAL afterward (agg_radix_parts_destroy) → exactly-once, no race.
- *   - agg_put_cell would OR RAY_ATTR_HAS_NULLS into the SHARED out->attrs (a
+ *   - a serial emitter would OR RAY_ATTR_HAS_NULLS into the SHARED out->attrs (a
  *     racy read-modify-write).  So the worker writes the null sentinel directly
  *     (disjoint idx, safe) and records a per-worker "saw null" flag; the caller
  *     ORs RAY_ATTR_HAS_NULLS once, serially, after the parallel pass.
@@ -2256,7 +2977,7 @@ typedef struct {
 
 /* Write a finalized scalar cell's payload at disjoint index i WITHOUT touching
  * the shared out->attrs flag; report null via the return value.  Byte-identical
- * to the serial agg_put_cell + ray_vec_set_null pair: a null cell stores the
+ * to serial emission followed by ray_vec_set_null: a null cell stores the
  * type's NULL sentinel (overwriting cell->f64/i64), matching ray_vec_set_null's
  * payload write — only the RAY_ATTR_HAS_NULLS flag set is deferred to the
  * caller (set once serially) to avoid a racy shared read-modify-write. */
@@ -2287,13 +3008,7 @@ static void agg_radix_finalize_fn(void* vctx, uint32_t wid, int64_t start, int64
             uint32_t p  = (uint32_t)(c->pairs[i].idx >> 32);
             uint32_t gg = (uint32_t)(c->pairs[i].idx & 0xffffffffu);
             const void* state = c->parts[p].states + (size_t)gg * c->block + c->off[a];
-            if (c->vts[a]->finalize_value) {
-                if (c->vts[a]->finalize_value(state, (char*)ray_data(out) + (size_t)i * col_esz(out))) any_null = true;
-            } else {
-                ray_t* cell = c->vts[a]->finalize(state, NULL, kparam);
-                if (agg_put_cell_value(out, i, cell)) any_null = true;
-                ray_release(cell);
-            }
+            any_null |= agg_finalize_value(c->vts[a], state, out, i, kparam);
         }
         if (any_null) c->saw_null[(size_t)wid * n_aggs + a] = 1;
     }
@@ -2458,6 +3173,7 @@ static ray_t* exec_group_v2_parallel_radix(
     /* Phase 1: scatter.  Sel mode dispatches over selected-row space [0,n_sel);
      * each worker decodes its slice of selected rows to ORIGINAL indices. */
     ray_pool_dispatch(pool, agg_radix_scatter_fn, &ctx, sel ? n_sel : nrows);
+    ray_profile_tick("radix: scattered rows");
 
     /* Phase 2: per-partition group+accumulate. */
     int oom = ctx.phase1_oom;
@@ -2467,6 +3183,8 @@ static ray_t* exec_group_v2_parallel_radix(
         for (uint32_t p = 0; p < n_parts; p++)
             if (parts[p].oom) { oom = 1; break; }
 
+    ray_profile_tick("radix: reduced partitions");
+
     /* Phases 1+2 done (both dispatches joined); val_off/val2_off no longer read. */
     scratch_free(off_hdr);
 
@@ -2598,6 +3316,7 @@ static ray_t* exec_group_v2_parallel_radix(
         return ray_error("group", "failed to order radix groups");
     }
     }   /* end full-order path */
+    ray_profile_tick("radix: ordered groups");
 
     ray_t* result = ray_table_new(n_keys + n_aggs);
     if (!result || RAY_IS_ERR(result)) {
@@ -2611,7 +3330,7 @@ static ray_t* exec_group_v2_parallel_radix(
 
     /* Emit key columns by sequential un-pack from the contiguous per-partition
      * packed-key buffers (cache-friendly), NOT a scattered gather of the
-     * original columns at first_row[].  Byte-identical to agg_gather_key_col
+     * original columns at first_row[].  Byte-identical to ray_group_gather
      * (see agg_unpack_key_col_new), incl. SYM payload + domain.
      *
      * All n_keys destinations are built BEFORE the fill so one dispatch covers
@@ -2742,13 +3461,13 @@ static ray_t* exec_group_v2_parallel_radix(
             for (int64_t i = 0; i < n_emit; i++) {
                 uint32_t p  = (uint32_t)(pairs[i].idx >> 32);
                 uint32_t gg = (uint32_t)(pairs[i].idx & 0xffffffffu);
-                ray_t* cell = vts[a]->finalize(parts[p].states + (size_t)gg * block + off[a], NULL, kparams[a]);
+                const void* state = parts[p].states + (size_t)gg * block + off[a];
                 if (is_list) {
+                    ray_t* cell = vts[a]->finalize(state, NULL, kparams[a]);
                     out = ray_list_set(out, i, cell);   /* retains cell */
-                    ray_release(cell);                  /* drop our local ref */
-                } else {
-                    agg_put_cell(out, i, cell);
                     ray_release(cell);
+                } else if (agg_finalize_value(vts[a], state, out, i, kparams[a])) {
+                    out->attrs |= RAY_ATTR_HAS_NULLS;
                 }
             }
             outs[a] = out;   /* ray_list_set may COW-realloc */
@@ -2771,6 +3490,406 @@ static ray_t* exec_group_v2_parallel_radix(
 static ray_t* agg_build_compact(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
                                 int64_t* idx, int64_t n_sel);
 
+/* Stable row slices shared by ordered and streaming consumers. Large group
+ * directories use O(groups) counters; replicated small-directory counters
+ * have a fixed memory budget independent of input size. */
+typedef struct {
+    const uint32_t* gids;
+    int64_t nrows;
+    uint32_t tasks, parts, bits, slices;
+    int64_t slots, local_stride;
+    int64_t* local;
+    const int64_t* offsets;
+    uint32_t part_slices[257];
+    int64_t slice_begin[512], slice_end[512];
+    int64_t* hist;
+    int64_t* starts;
+    uint64_t* packed;
+    int64_t* counts;
+    int64_t* cursor;
+    int64_t* rows;
+} agg_index_layout_t;
+static void agg_index_hist(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_layout_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        int64_t* hist = c->hist + task * c->parts;
+        int64_t begin = c->nrows / c->tasks * task;
+        int64_t limit = task + 1 == c->tasks ? c->nrows : c->nrows / c->tasks * (task + 1);
+        for (int64_t r = begin; r < limit; r++) hist[c->gids[r] >> c->bits]++;
+    }
+}
+static void agg_index_pack(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_layout_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        int64_t* cursor = c->hist + task * c->parts;
+        int64_t begin = c->nrows / c->tasks * task;
+        int64_t limit = task + 1 == c->tasks ? c->nrows : c->nrows / c->tasks * (task + 1);
+        for (int64_t r = begin; r < limit; r++)
+            c->packed[cursor[c->gids[r] >> c->bits]++] = ((uint64_t)c->gids[r] << 32) | (uint32_t)r;
+    }
+}
+static void agg_index_count(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_layout_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        int64_t* counts = c->local + task * c->local_stride;
+        for (int64_t i = c->slice_begin[task]; i < c->slice_end[task]; i++)
+            counts[(c->packed[i] >> 32) & (c->slots - 1)]++;
+    }
+}
+static void agg_index_merge_counts(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_layout_t* c = raw;
+    for (int64_t g = start; g < end; g++) {
+        uint32_t part = g >> c->bits;
+        int64_t count = 0;
+        for (uint32_t task = c->part_slices[part]; task < c->part_slices[part + 1]; task++)
+            count += c->local[task * c->local_stride + (g & (c->slots - 1))];
+        c->counts[g] = count;
+    }
+}
+static void agg_index_slice_cursors(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_layout_t* c = raw;
+    for (int64_t g = start; g < end; g++) {
+        uint32_t part = g >> c->bits;
+        int64_t offset = c->offsets[g];
+        for (uint32_t task = c->part_slices[part]; task < c->part_slices[part + 1]; task++) {
+            int64_t* slot = &c->local[task * c->local_stride + (g & (c->slots - 1))];
+            int64_t count = *slot; *slot = offset; offset += count;
+        }
+    }
+}
+static void agg_index_fill(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_layout_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        int64_t* cursor = c->local + task * c->local_stride;
+        for (int64_t i = c->slice_begin[task]; i < c->slice_end[task]; i++) {
+            uint64_t record = c->packed[i];
+            c->rows[cursor[(record >> 32) & (c->slots - 1)]++] = (uint32_t)record;
+        }
+    }
+}
+/* For a small group directory, bounded task-local counters avoid packing
+ * another row buffer. Source-task prefixes preserve order within each group. */
+static void agg_index_direct_count(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_layout_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        int64_t* counts = c->local + task * c->slots;
+        int64_t begin = c->nrows / c->tasks * task;
+        int64_t limit = task + 1 == c->tasks ? c->nrows : c->nrows / c->tasks * (task + 1);
+        for (int64_t r = begin; r < limit; r++) counts[c->gids[r]]++;
+    }
+}
+static void agg_index_direct_fill(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_layout_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        int64_t* cursor = c->local + task * c->slots;
+        int64_t begin = c->nrows / c->tasks * task;
+        int64_t limit = task + 1 == c->tasks ? c->nrows : c->nrows / c->tasks * (task + 1);
+        for (int64_t r = begin; r < limit; r++) c->rows[cursor[c->gids[r]]++] = r;
+    }
+}
+static int agg_index_layout(const agg_groups_t* groups, int64_t nrows,
+        int64_t* counts, int64_t* offsets, int64_t* cursor, int64_t* rows) {
+    ray_pool_t* pool = ray_pool_get();
+    int64_t ng = groups->ngroups;
+    uint32_t direct_tasks = pool ? ray_pool_total_workers(pool) * 4 : 0;
+    if (direct_tasks > RAY_POOL_INIT_TASKS) direct_tasks = RAY_POOL_INIT_TASKS;
+    /* Cap replicated counters at 256 KiB, including cache-line padding. */
+    int64_t direct_slots = ((ng + 7) & ~INT64_C(7)) + 8;
+    if (ray_pool_par_dispatch_ok(pool, nrows, RAY_PARALLEL_THRESHOLD) && direct_slots > 0 &&
+            direct_tasks && direct_slots <= 32768 / direct_tasks) {
+        agg_index_layout_t direct = {.gids = groups->gids, .nrows = nrows,
+            .tasks = direct_tasks, .slots = direct_slots, .rows = rows};
+        direct.local = ray_calloc_raw((size_t)direct_tasks * direct_slots * sizeof(int64_t));
+        if (!direct.local) return -1;
+        ray_pool_dispatch_n(pool, agg_index_direct_count, &direct, direct_tasks);
+        if (agg_cancelled()) { ray_free_raw(direct.local); return -1; }
+        for (int64_t g = 0; g < ng; g++) {
+            int64_t at = offsets[g];
+            for (uint32_t task = 0; task < direct_tasks; task++) {
+                int64_t* slot = direct.local + task * direct_slots + g;
+                int64_t count = *slot; *slot = at; at += count;
+            }
+            counts[g] = at - offsets[g]; offsets[g + 1] = at;
+        }
+        ray_pool_dispatch_n(pool, agg_index_direct_fill, &direct, direct_tasks);
+        ray_free_raw(direct.local);
+        return agg_cancelled() ? -1 : 0;
+    }
+    /* Packed row addresses use 32 bits; retain full-width indices above it. */
+    /* Histogram/packing adds two full row passes. With fewer than four
+     * workers, the direct count/fill layout uses less time and memory. */
+    if (nrows > UINT32_MAX || !ray_pool_par_dispatch_ok(pool, nrows, RAY_PARALLEL_THRESHOLD) ||
+            ray_pool_total_workers(pool) < 4) {
+        for (int64_t r = 0; r < nrows; r++) counts[groups->gids[r]]++;
+        for (int64_t i = 0; i < ng; i++) offsets[i + 1] = offsets[i] + counts[i];
+        memcpy(cursor, offsets, (size_t)ng * sizeof(int64_t));
+        for (int64_t r = 0; r < nrows; r++) rows[cursor[groups->gids[r]]++] = r;
+        return 0;
+    }
+    /* One source range per worker avoids scattering tiny adjacent ranges
+     * into the same pages. Partition slices supply additional skew tasks. */
+    uint32_t tasks = ray_pool_total_workers(pool);
+    if (tasks > RAY_POOL_INIT_TASKS) tasks = RAY_POOL_INIT_TASKS;
+    uint32_t parts = 1;
+    while (parts < tasks && parts < 256) parts *= 2;
+    /* Adjacent group ids own adjacent output ranges. Partition by the high
+     * bits so different workers do not scatter interleaved groups into the
+     * same output pages. Hot partitions still split into source-order slices. */
+    uint32_t slots = 1;
+    while (slots < (ng + parts - 1) / parts) slots *= 2;
+    agg_index_layout_t c = {.gids = groups->gids, .nrows = nrows, .tasks = tasks,
+        .parts = parts, .bits = (uint32_t)__builtin_ctz(slots), .slots = slots, .local_stride = slots + 8,
+        .offsets = offsets, .counts = counts, .cursor = cursor, .rows = rows};
+    c.hist = ray_calloc_raw(((size_t)tasks * parts + parts + 1) * sizeof(int64_t));
+    c.packed = ray_alloc_raw((size_t)nrows * sizeof(uint64_t));
+    if (!c.hist || !c.packed) { ray_free_raw(c.hist); ray_free_raw(c.packed); return -1; }
+    c.starts = c.hist + (size_t)tasks * parts;
+    ray_pool_dispatch_n(pool, agg_index_hist, &c, tasks);
+    int64_t offset = 0;
+    for (uint32_t part = 0; part < parts; part++) {
+        c.starts[part] = offset;
+        for (uint32_t task = 0; task < tasks; task++) {
+            size_t at = (size_t)task * parts + part;
+            int64_t count = c.hist[at]; c.hist[at] = offset; offset += count;
+        }
+    }
+    c.starts[parts] = offset;
+    ray_profile_tick("indexed slices: histogram");
+    ray_pool_dispatch_n(pool, agg_index_pack, &c, tasks);
+    ray_profile_tick("indexed slices: packed");
+    int rc = -1;
+    if (agg_cancelled()) goto done;
+    /* Split hot partitions by rows. There are at most 2*parts slices, each
+     * storing a power-of-two group range plus a cache-line gap. This uses
+     * at most four group slabs plus bounded task padding.
+     * Packed rows and slice prefixes both retain source order. */
+    int64_t grain = (nrows + parts - 1) / parts;
+    for (uint32_t part = 0; part < parts; part++) {
+        c.part_slices[part] = c.slices;
+        for (int64_t begin = c.starts[part]; begin < c.starts[part + 1];) {
+            int64_t end = c.starts[part + 1] - begin < grain ? c.starts[part + 1] : begin + grain;
+            c.slice_begin[c.slices] = begin; c.slice_end[c.slices++] = end;
+            begin = end;
+        }
+    }
+    c.part_slices[parts] = c.slices;
+    c.local = ray_calloc_raw((size_t)c.slices * c.local_stride * sizeof(int64_t));
+    if (!c.local) goto done;
+    ray_pool_dispatch_n(pool, agg_index_count, &c, c.slices);
+    ray_pool_dispatch(pool, agg_index_merge_counts, &c, ng);
+    if (agg_cancelled()) goto done;
+    ray_profile_tick("indexed slices: counted groups");
+    for (int64_t i = 0; i < ng; i++) offsets[i + 1] = offsets[i] + counts[i];
+    ray_pool_dispatch(pool, agg_index_slice_cursors, &c, ng);
+    ray_pool_dispatch_n(pool, agg_index_fill, &c, c.slices);
+    ray_profile_tick("indexed slices: filled");
+    if (!agg_cancelled()) rc = 0;
+done:
+    ray_free_raw(c.local); ray_free_raw(c.hist); ray_free_raw(c.packed);
+    return rc;
+}
+
+/* Streaming consumers of the shared index use row-balanced tasks. Only
+ * groups crossing task boundaries need partial states (at most two per task),
+ * so a dominant group can use every worker without replicated group slabs. */
+typedef struct {
+    const agg_vtable_t* vt;
+    ray_t* x;
+    ray_t* y;
+    const int64_t* rows;
+    const int64_t* offsets;
+    int64_t ng, nrows;
+    uint32_t tasks;
+    char* states;
+    int64_t* partial_groups;
+    _Atomic(bool) failed;
+} agg_index_stream_t;
+static void agg_index_stream_init(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_stream_t* c = raw;
+    for (int64_t g = start; g < end; g++) c->vt->init(c->states + g * c->vt->state_size);
+}
+static void agg_index_stream_reduce(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_stream_t* c = raw;
+    uint8_t ex = c->x ? col_esz(c->x) : 0, ey = c->y ? col_esz(c->y) : 0;
+    char* x = ex ? ray_alloc_raw((size_t)AGG_SEL_CHUNK * ex) : NULL;
+    char* y = ey ? ray_alloc_raw((size_t)AGG_SEL_CHUNK * ey) : NULL;
+    if ((ex && !x) || (ey && !y)) { atomic_store(&c->failed, true); goto done; }
+    uint32_t gids[AGG_SEL_CHUNK] = {0};
+    ray_valid_t vx = {x, c->x ? c->x->type : RAY_I64, c->x && ray_vec_may_have_nulls(c->x)};
+    ray_valid_t vy = {y, c->y ? c->y->type : RAY_I64, c->y && ray_vec_may_have_nulls(c->y)};
+    for (int64_t task = start; task < end; task++) {
+        int64_t begin = c->nrows / c->tasks * task;
+        int64_t limit = task + 1 == c->tasks ? c->nrows : c->nrows / c->tasks * (task + 1);
+        int64_t lo = 0, hi = c->ng;
+        while (lo < hi) { int64_t mid = lo + (hi - lo) / 2; if (c->offsets[mid + 1] <= begin) lo = mid + 1; else hi = mid; }
+        int partial = 0;
+        for (int64_t group = lo, at = begin; at < limit && !agg_cancelled(); group++) {
+            int64_t stop = c->offsets[group + 1] < limit ? c->offsets[group + 1] : limit;
+            bool whole = at == c->offsets[group] && stop == c->offsets[group + 1];
+            int64_t slot = whole ? group : c->ng + 2 * task + partial;
+            char* state = c->states + slot * c->vt->state_size;
+            if (!whole) {
+                c->partial_groups[2 * task + partial++] = group;
+                c->vt->init(state);
+            }
+            while (at < stop) {
+                int64_t n = stop - at < AGG_SEL_CHUNK ? stop - at : AGG_SEL_CHUNK;
+                if (ex) agg_sel_gather_vals(x, ray_data(c->x), ex, c->rows + at, n);
+                if (ey) agg_sel_gather_vals(y, ray_data(c->y), ey, c->rows + at, n);
+                if (c->y) c->vt->update_batch2(state, c->vt->state_size, gids, x, y, &vx, &vy, n, NULL);
+                else c->vt->update_batch(state, c->vt->state_size, gids, x, &vx, n, NULL);
+                at += n;
+            }
+        }
+    }
+done:
+    ray_free_raw(x); ray_free_raw(y);
+}
+static ray_t* agg_index_streaming(const agg_vtable_t* vt, ray_t* x, ray_t* y,
+        const agg_groups_t* groups, const int64_t* rows, const int64_t* offsets,
+        int64_t nrows, int64_t param) {
+    ray_pool_t* pool = ray_pool_get();
+    if (!ray_pool_par_dispatch_ok(pool, nrows, RAY_PARALLEL_THRESHOLD))
+        return y ? agg_run_one_bin(vt, x, y, groups->gids, nrows, groups->ngroups, param)
+                 : agg_run_one(vt, x, groups->gids, nrows, groups->ngroups, param);
+    uint32_t tasks = ray_pool_total_workers(pool) * 4;
+    if (tasks > RAY_POOL_INIT_TASKS) tasks = RAY_POOL_INIT_TASKS;
+    agg_index_stream_t c = {.vt = vt, .x = x, .y = y, .rows = rows, .offsets = offsets,
+        .ng = groups->ngroups, .nrows = nrows, .tasks = tasks, .failed = false};
+    c.states = ray_alloc_raw((size_t)(c.ng + 2 * tasks) * vt->state_size);
+    c.partial_groups = ray_alloc_raw((size_t)2 * tasks * sizeof(int64_t));
+    ray_t* result = NULL;
+    if (!c.states || !c.partial_groups) goto done;
+    for (uint32_t t = 0; t < 2 * tasks; t++) c.partial_groups[t] = -1;
+    ray_pool_dispatch(pool, agg_index_stream_init, &c, c.ng);
+    ray_pool_dispatch_n(pool, agg_index_stream_reduce, &c, tasks);
+    if (agg_cancelled() || atomic_load(&c.failed)) goto done;
+    for (uint32_t t = 0; t < 2 * tasks; t++) if (c.partial_groups[t] >= 0)
+        vt->merge(c.states + c.partial_groups[t] * vt->state_size,
+                  c.states + (c.ng + t) * vt->state_size, NULL);
+    result = ray_vec_new(vt->out_type, c.ng);
+    if (!result || RAY_IS_ERR(result)) goto done;
+    result->len = c.ng;
+    agg_dense_emit_ctx_t emit = {.vt = vt, .out = result, .states = c.states,
+        .block = vt->state_size, .param = param, .any_null = false};
+    ray_pool_dispatch(pool, agg_dense_emit_fn, &emit, c.ng);
+    if (atomic_load(&emit.any_null)) result->attrs |= RAY_ATTR_HAS_NULLS;
+done:
+    ray_free_raw(c.states); ray_free_raw(c.partial_groups);
+    if (agg_cancelled()) { ray_release(result); return ray_error("cancel", NULL); }
+    return result ? result : ray_error("oom", NULL);
+}
+
+typedef struct {
+    ray_t* src;
+    uint16_t kind;
+    ray_group_sym_view_t symbols;
+} agg_index_winners_t;
+static int64_t agg_index_winner(void* raw, const int64_t* rows, int64_t count) {
+    agg_index_winners_t* c = raw;
+    const void* data = ray_data(c->src);
+    if (c->kind == OP_FIRST || c->kind == OP_LAST) {
+        bool last = c->kind == OP_LAST;
+        if (!count || ray_interrupted()) return -1;
+        if (!ray_vec_may_have_nulls(c->src) && c->src->type != RAY_SYM && c->src->type != RAY_STR)
+            return rows[last ? count - 1 : 0];
+#define INDEX_FIRST_VALID(TYPE, VALID) do { \
+            const TYPE* values = data; \
+            for (int64_t j = 0; j < count; j++) { \
+                if ((j & 65535) == 0 && ray_interrupted()) return -1; \
+                int64_t row = rows[last ? count - 1 - j : j]; \
+                TYPE value = values[row]; \
+                if (VALID) return row; \
+            } \
+            return -1; \
+        } while (0)
+        switch (c->src->type) {
+            case RAY_I16: INDEX_FIRST_VALID(int16_t, value != NULL_I16);
+            case RAY_I32: case RAY_DATE: case RAY_TIME:
+                INDEX_FIRST_VALID(int32_t, value != NULL_I32);
+            case RAY_I64: case RAY_TIMESTAMP:
+                INDEX_FIRST_VALID(int64_t, value != NULL_I64);
+            case RAY_F32: INDEX_FIRST_VALID(float, value == value);
+            case RAY_F64: INDEX_FIRST_VALID(double, value == value);
+            default: break;
+        }
+#undef INDEX_FIRST_VALID
+    }
+    int64_t best = -1;
+    for (int64_t j = 0; j < count; j++) {
+        if ((j & 65535) == 0 && ray_interrupted()) return -1;
+        int64_t r = rows[c->kind == OP_LAST ? count - 1 - j : j];
+        if (ray_vec_is_null(c->src, r)) continue;
+        if (best < 0) best = r;
+        if (c->kind == OP_FIRST || c->kind == OP_LAST) break;
+        ray_t* x = ray_group_sym_read(&c->symbols, ray_sym_vec_domain(c->src), ray_read_sym(data, r, c->src->type, c->src->attrs));
+        ray_t* y = ray_group_sym_read(&c->symbols, ray_sym_vec_domain(c->src), ray_read_sym(data, best, c->src->type, c->src->attrs));
+        int cmp = ray_str_cmp(x, y);
+        if (c->kind == OP_MIN ? cmp < 0 : cmp > 0) best = r;
+    }
+    return best;
+}
+
+typedef struct {
+    const int64_t* rows;
+    const int64_t* offsets;
+    const int64_t* counts;
+    ray_t** values;
+    _Atomic(bool) failed;
+} agg_index_vectors_t;
+static void agg_index_vectors_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_index_vectors_t* c = raw;
+    for (int64_t g = start; g < end && !agg_cancelled(); g++) {
+        ray_t* value = ray_vec_new(RAY_I64, c->counts[g]);
+        if (!value || RAY_IS_ERR(value)) { ray_release(value); atomic_store(&c->failed, true); return; }
+        value->len = c->counts[g];
+        memcpy(ray_data(value), c->rows + c->offsets[g], (size_t)value->len * sizeof(int64_t));
+        c->values[g] = value;
+    }
+}
+ray_t* agg_group_indices(ray_t* source) {
+    ray_pool_t* pool = ray_pool_get();
+    int64_t n = source->len;
+    if (n > INT32_MAX || !ray_pool_par_dispatch_ok(pool, n, RAY_PARALLEL_THRESHOLD) ||
+            ray_pool_total_workers(pool) < 4) return NULL;
+    switch (source->type) {
+        case RAY_BOOL: case RAY_U8: case RAY_I16: case RAY_I32: case RAY_I64:
+        case RAY_F32: case RAY_F64: case RAY_DATE: case RAY_TIME: case RAY_TIMESTAMP:
+        case RAY_SYM: case RAY_GUID: case RAY_STR: case RAY_LIST: break;
+        default: return NULL;
+    }
+    agg_groups_t groups = {0};
+    dense_plan_t plan;
+    bool dense = agg_dense_plan(&source, 1, NULL, 0, n, &plan);
+    int rc = dense ? agg_group_keys_dense(&source, n, &plan, &groups)
+                   : agg_group_keys(&source, 1, n, &groups);
+    if (rc) return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
+    int64_t ng = groups.ngroups;
+    int64_t* scratch = ray_calloc_raw((size_t)(n + 3 * ng + 1) * sizeof(int64_t));
+    if (!scratch) { agg_groups_free(&groups); return ray_error("oom", NULL); }
+    int64_t* offsets = scratch + ng;
+    int64_t* cursor = offsets + ng + 1;
+    int64_t* rows = cursor + ng;
+    ray_t* keys = NULL;
+    ray_t* values = NULL;
+    ray_t* result = NULL;
+    if (agg_index_layout(&groups, n, scratch, offsets, cursor, rows)) goto failed;
+    keys = ray_group_gather(source, groups.first_row, ng);
+    if (!keys || RAY_IS_ERR(keys)) goto failed;
+    values = ray_list_new(ng);
+    if (!values || RAY_IS_ERR(values)) goto failed;
+    memset(ray_data(values), 0, (size_t)ng * sizeof(ray_t*));
+    values->len = ng;
+    agg_index_vectors_t emit = {rows, offsets, scratch, ray_data(values), false};
+    ray_group_dispatch(agg_index_vectors_run, &emit, scratch, ng);
+    if (agg_cancelled() || atomic_load(&emit.failed)) goto failed;
+    result = ray_dict_new(keys, values);
+    keys = values = NULL;
+failed:
+    ray_release(keys); ray_release(values); ray_free_raw(scratch); agg_groups_free(&groups);
+    return result ? result : ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
+}
+
 /* O(rows + groups) shared layout. Holistic helpers allocate disjoint group
  * scratch; no worker owns a second full input or a second grouping. */
 static ray_t* agg_indexed_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
@@ -2782,7 +3901,7 @@ static ray_t* agg_indexed_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
     route_stats.dense_plan_available = dense;
     int rc = dense ? agg_group_keys_dense(keys, nrows, &dp, &groups)
                    : agg_group_keys(keys, ext->n_keys, nrows, &groups);
-    if (rc) return ray_error("oom", NULL);
+    if (rc) return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
     if (agg_cancelled()) { agg_groups_free(&groups); return ray_error("cancel", NULL); }
     int64_t ng = groups.ngroups;
     int64_t* counts = ray_calloc_raw((size_t)(ng + 1) * sizeof(int64_t));
@@ -2791,14 +3910,15 @@ static ray_t* agg_indexed_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
     int64_t* rows = ray_alloc_raw((size_t)(nrows + 1) * sizeof(int64_t));
     ray_t* result = NULL;
     if (!counts || !offsets || !cursor || !rows) { result = ray_error("oom", NULL); goto done; }
-    for (int64_t r = 0; r < nrows; r++) counts[groups.gids[r]]++;
-    for (int64_t i = 0; i < ng; i++) offsets[i + 1] = offsets[i] + counts[i];
-    memcpy(cursor, offsets, (size_t)ng * sizeof(int64_t));
-    for (int64_t r = 0; r < nrows; r++) rows[cursor[groups.gids[r]]++] = r;
+    ray_profile_tick("indexed: grouped keys");
+    if (agg_index_layout(&groups, nrows, counts, offsets, cursor, rows)) {
+        result = ray_error(agg_cancelled() ? "cancel" : "oom", NULL); goto done;
+    }
+    ray_profile_tick("indexed: stable row slices");
     result = ray_table_new(ext->n_keys + ext->n_aggs);
     if (!result || RAY_IS_ERR(result)) goto done;
     for (uint32_t k = 0; k < ext->n_keys; k++) {
-        ray_t* col = agg_gather_key_col(keys[k], groups.first_row, ng);
+        ray_t* col = ray_group_gather(keys[k], groups.first_row, ng);
         if (!col || RAY_IS_ERR(col)) { ray_release(result); result = col; goto done; }
         if (col->type == RAY_F32 || col->type == RAY_F64) {
             for (int64_t i = 0; i < ng; i++) {
@@ -2812,6 +3932,7 @@ static ray_t* agg_indexed_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
         result = ray_table_add_col(result, key_syms[k], col); ray_release(col);
         if (!result || RAY_IS_ERR(result)) goto done;
     }
+    ray_profile_tick("indexed: emitted keys");
     for (uint32_t a = 0; a < ext->n_aggs; a++) {
         if (agg_cancelled()) { ray_release(result); result = ray_error("cancel", NULL); goto done; }
         uint16_t kind = ext->agg_ops[a];
@@ -2832,24 +3953,13 @@ static ray_t* agg_indexed_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
                 /* Native first/last and lexical SYM extrema retain the source
                  * column's domain by gathering winning original row indices. */
                 int64_t* winners = cursor;
-                for (int64_t gi = 0; gi < ng; gi++) {
-                    int64_t best = -1;
-                    for (int64_t j = offsets[gi]; j < offsets[gi + 1]; j++) {
-                        int64_t r = rows[j];
-                        if (ray_vec_is_null(src, r)) continue;
-                        if (best < 0 || kind == OP_LAST) best = r;
-                        if (kind == OP_FIRST) break;
-                        if (kind == OP_MIN || kind == OP_MAX) {
-                            const void* data = ray_data(src);
-                            ray_t* x = ray_sym_domain_str(ray_sym_vec_domain(src), ray_read_sym(data, r, src->type, src->attrs));
-                            ray_t* y = ray_sym_domain_str(ray_sym_vec_domain(src), ray_read_sym(data, best, src->type, src->attrs));
-                            int cmp = ray_str_cmp(x, y);
-                            if (kind == OP_MIN ? cmp < 0 : cmp > 0) best = r;
-                        }
-                    }
-                    winners[gi] = best;
-                }
-                col = agg_gather_key_col(src, winners, ng);
+                agg_index_winners_t work = {src, kind, {0}};
+                if (src->type == RAY_SYM)
+                    ray_sym_strings_borrow(&work.symbols.strings, &work.symbols.count);
+                ray_group_winners(agg_index_winner, &work, rows, offsets, counts, ng, winners);
+                if (agg_cancelled()) { ray_release(result); result = ray_error("cancel", NULL); goto done; }
+                ray_profile_tick("indexed: selected winning rows");
+                col = ray_group_gather(src, winners, ng);
                 /* F32 reduction results follow the existing F64 contract. */
                 if (col && !RAY_IS_ERR(col) && src->type == RAY_F32) {
                     ray_t* widened = ray_vec_new(RAY_F64, ng);
@@ -2863,11 +3973,15 @@ static ray_t* agg_indexed_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
             }
         } else if (ext->agg_ins2 && ext->agg_ins2[a] != RAY_OP_NONE) {
             ray_op_ext_t* ye = find_ext(g, ext->agg_ins2[a]);
-            col = agg_run_one_bin(agg_resolve(kind, src->type), src,
-                ray_table_get_col(tbl, ye->sym), groups.gids, nrows, ng, param);
-        } else col = agg_run_one(agg_resolve(kind, src ? src->type : RAY_I64),
-                                    kind == OP_COUNT ? NULL : src, groups.gids, nrows, ng, param);
+            col = agg_index_streaming(agg_resolve(kind, src->type), src,
+                ray_table_get_col(tbl, ye->sym), &groups, rows, offsets, nrows, param);
+        } else if (kind == OP_COUNT) {
+            col = ray_vec_new(RAY_I64, ng);
+            if (col && !RAY_IS_ERR(col)) { col->len = ng; memcpy(ray_data(col), counts, (size_t)ng * sizeof(int64_t)); }
+        } else col = agg_index_streaming(agg_resolve(kind, src ? src->type : RAY_I64),
+                                        src, NULL, &groups, rows, offsets, nrows, param);
         if (!col || RAY_IS_ERR(col)) { ray_release(result); result = col; goto done; }
+        ray_profile_tick("indexed: emitted aggregate");
         result = ray_table_add_col(result, agg_result_col_name(ie ? ie->sym : 0, kind), col);
         ray_release(col);
         if (!result || RAY_IS_ERR(result)) goto done;
@@ -2879,6 +3993,50 @@ static ray_t* agg_indexed_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
     return result ? result : ray_error("oom", NULL);
 }
 
+/* Shared extrema help when repeated keys let workers skip state writes.
+ * A deterministic, stratified sample exercises the registered capability with
+ * its own state, so this decision needs no aggregate/type-specific predicates.
+ * Predominantly changing states use owned partitions instead of contended CAS.
+ * The sample is query-local and never supplies an answer to execution. */
+static bool agg_shared_sample(ray_graph_t* g, ray_op_ext_t* ext, ray_t* tbl,
+        ray_t** keys, const agg_vo_t* vo, int64_t rows) {
+    if (!ext->n_aggs) return true;
+    if (rows < 1024) return false;
+    enum { SAMPLES = 1024, CAP = 2048 };
+    agg_desc_t d;
+    if (!agg_desc_init(&d, g, ext, tbl, keys)) return false;
+    char* states = ray_alloc_raw((SAMPLES + 1) * vo->block);
+    if (!states) { agg_desc_free(&d); return false; }
+    char* previous = states + SAMPLES * vo->block;
+    int16_t map[CAP]; int64_t values[SAMPLES];
+    memset(map, -1, sizeof(map));
+    uint32_t gid = 0;
+    int groups = 0, unchanged = 0;
+    int64_t step = rows / SAMPLES;
+    for (int i = 0; i < SAMPLES; i++) {
+        uint64_t jitter = ray_hash_i64(i);
+        int64_t row = i * step + jitter % step;
+        int64_t value = agg_read_key_i64(keys[0], ray_data(keys[0]), row);
+        uint32_t at = ray_hash_i64(value) & (CAP - 1);
+        while (map[at] >= 0 && values[map[at]] != value) at = (at + 1) & (CAP - 1);
+        if (map[at] < 0) {
+            map[at] = groups; values[groups] = value;
+            for (uint32_t a = 0; a < ext->n_aggs; a++) vo->vts[a]->init(states + groups * vo->block + vo->off[a]);
+            groups++;
+        }
+        char* state = states + map[at] * vo->block;
+        memcpy(previous, state, vo->block);
+        for (uint32_t a = 0; a < ext->n_aggs; a++) {
+            const void* input = d.val_data[a] ? (const char*)d.val_data[a] + (size_t)row * d.val_esz[a] : NULL;
+            ray_valid_t valid = {input, d.val_types[a], d.val_hasnull[a]};
+            vo->vts[a]->update_shared(state + vo->off[a], vo->block, &gid, input, &valid, 1);
+        }
+        unchanged += memcmp(previous, state, vo->block) == 0;
+    }
+    ray_free_raw(states); agg_desc_free(&d);
+    return unchanged >= SAMPLES / 4;
+}
+
 /* Core of exec_group_v2: resolution + strategy dispatch over (tbl, nrows).
  *
  * Selection handling.  `sel` is the pushed WHERE filter's rowsel (or NULL).
@@ -2993,8 +4151,8 @@ static ray_t* exec_group_v2_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
     /* Buffered accumulators retain every contributing value per group.  Running
      * them through the parallel radix strategy overlaps those buffers with the
      * full scatter payload and can exhaust the heap on large inputs.  Keep
-     * buffered shapes on the serial v2 driver; streaming shapes retain all
-     * parallel strategies below. */
+     * buffered shapes on the shared indexed driver; streaming shapes retain
+     * the dense/radix strategies below. */
     bool all_streaming = true;
     for (uint32_t a = 0; a < ext->n_aggs && all_streaming; a++)
         if (vts[a]->kind != ACC_STREAMING) all_streaming = false;
@@ -3010,12 +4168,68 @@ static ray_t* exec_group_v2_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
         double dense_budget = scatter_budget;
         if (dense_budget > (double)SIZE_MAX) dense_budget = (double)SIZE_MAX;
         if (watermark > 0 && dense_budget > (double)watermark / 4) dense_budget = (double)watermark / 4;
-        double slab_bytes = dp.ok ? (double)dp.total_slots * (block + sizeof(int64_t)) : 0;
+        double slab_bytes = dp.ok ? (double)dp.total_slots * (block + sizeof(int64_t) + 1) : 0;
+        /* A bounded group emit selects first-seen groups. Dense slot order
+         * cannot satisfy that contract; retain radix's bounded selection. */
+        bool shared_plan = dp.ok && group_limit <= 0 && !sel && ext->n_keys == 1 && dp.total_slots >= 4096;
+        for (uint32_t a = 0; a < ext->n_aggs && shared_plan; a++)
+            shared_plan = vts[a]->update_shared != NULL;
+        if (shared_plan && slab_bytes <= dense_budget && agg_shared_sample(g, ext, tbl, key_cols, &vo, nrows)) {
+            route_stats.dense_worker_budget = false;
+            agg_route_record(AGG_ROUTE_V2_DENSE);
+            ray_t* result = exec_group_v2_parallel_dense(g, op, tbl, key_cols, key_syms, ext,
+                nrows, pool, &dp, dense_workers, AGG_DENSE_SHARED, sel, sel_prefix, n_sel);
+            agg_vo_free(&vo); scratch_free(kc_hdr);
+            return result;
+        }
+        /* Partition ownership amortizes scatter through concurrent reducers.
+         * With one worker, direct task-local updates avoid that extra payload. */
+        if (dp.ok && dense_workers > 1 && group_limit <= 0 && eff_n <= UINT32_MAX && dp.total_slots >= 4096) {
+            uint32_t sources = dense_workers;
+            if (sources > RAY_POOL_INIT_TASKS / 2) sources = RAY_POOL_INIT_TASKS / 2;
+            uint32_t parts = agg_dense_partition_parts(dense_workers, dp.total_slots);
+            uint32_t split_budget = sources * 4 < parts ? sources * 4 : parts;
+            int64_t part_slots = ((dp.total_slots + parts - 1) / parts + 7) & ~INT64_C(7);
+            /* Splitting adds at most one global slab. Shared input columns
+             * occupy one field in the payload, including mixed binary uses. */
+            agg_desc_t payload;
+            double record_size = (double)SIZE_MAX;
+            if (agg_desc_init(&payload, g, ext, tbl, key_cols)) {
+                record_size = agg_partition_record(&payload, ext->n_aggs, NULL, NULL);
+                agg_desc_free(&payload);
+            }
+            double bytes = 2.0 * part_slots * parts * (block + sizeof(int64_t))
+                + (double)eff_n * (sizeof(uint32_t) + record_size + (sel ? sizeof(int64_t) : 0))
+                + (double)(sources + 1) * parts * sizeof(uint64_t)
+                + (double)(parts + split_budget) * sizeof(agg_dense_partition_task_t);
+            /* Small per-worker slabs are cheaper than another full payload
+             * pass. Prefer partition ownership only once replicated state
+             * traffic exceeds its row traffic; large pools/ranges still use
+             * bounded shared storage. */
+            double local_traffic = dense_workers * slab_bytes;
+            double partition_traffic = (double)eff_n * (sizeof(uint32_t) + record_size);
+            /* Compare the complete partition allocation against radix's
+             * payload plus its worst-case per-row group state. A payload-only
+             * budget unnecessarily rejects dense high-cardinality domains,
+             * although radix must allocate the same aggregate states too. */
+            double partition_budget = scatter_budget + (double)eff_n * (block + sizeof(int64_t));
+            if (partition_budget > (double)SIZE_MAX) partition_budget = (double)SIZE_MAX;
+            if (watermark > 0 && partition_budget > (double)watermark / 4)
+                partition_budget = (double)watermark / 4;
+            if (bytes <= partition_budget && local_traffic > partition_traffic) {
+                route_stats.dense_worker_budget = false;
+                agg_route_record(AGG_ROUTE_V2_DENSE);
+                ray_t* result = exec_group_v2_parallel_dense(g, op, tbl, key_cols, key_syms, ext,
+                    nrows, pool, &dp, dense_workers, AGG_DENSE_PARTITIONED, sel, sel_prefix, n_sel);
+                agg_vo_free(&vo); scratch_free(kc_hdr);
+                return result;
+            }
+        }
         if (dp.ok && slab_bytes > 0) {
             double fit = (dense_budget - (double)eff_n * sizeof(uint32_t)) / slab_bytes - 1;
             if (fit < dense_workers) dense_workers = fit >= 2 ? (uint32_t)fit : 0;
         }
-        bool dense_par_ok = dp.ok && dense_workers > 0;
+        bool dense_par_ok = dp.ok && group_limit <= 0 && dense_workers > 0;
         /* Allocation size alone misses repeated wide-range worker updates.
          * Estimate touched slot traffic from evenly spaced key samples in each
          * worker-sized input range. Prefer radix when duplicated state traffic
@@ -3038,7 +4252,7 @@ static ray_t* exec_group_v2_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
                 }
                 if (lo <= hi) touched_slots += (double)((uint64_t)hi - (uint64_t)lo) + 1;
             }
-            if (touched_slots * (block + sizeof(int64_t)) > scatter_budget / 2)
+            if (touched_slots * (block + sizeof(int64_t) + 1) > scatter_budget / 2)
                 dense_par_ok = false;
         }
         route_stats.dense_worker_budget = dp.ok && !dense_par_ok;
@@ -3062,9 +4276,20 @@ static ray_t* exec_group_v2_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
         }
 
         if (dense_par_ok) {
+            /* Small domains can afford more independent source tasks. This
+             * lets work stealing absorb uneven worker throughput without
+             * multiplying large state slabs or retaining prior query state. */
+            uint32_t extra_tasks = dense_workers * 4;
+            if (extra_tasks > RAY_POOL_INIT_TASKS) extra_tasks = RAY_POOL_INIT_TASKS;
+            if (dense_workers > 1 && extra_tasks * slab_bytes <= scatter_budget / 8 &&
+                    (extra_tasks + 1.0) * slab_bytes + (double)eff_n * sizeof(uint32_t) <= dense_budget)
+                dense_workers = extra_tasks;
             route_stats.dense_tasks = dense_workers;
+            route_stats.dense_local_slots = 0;
+            for (uint32_t w = 0; w < dense_workers; w++)
+                route_stats.dense_local_slots += dp.total_slots;
             agg_route_record(AGG_ROUTE_V2_DENSE);
-            ray_t* r = exec_group_v2_parallel_dense(g, op, tbl, key_cols, key_syms, ext, nrows, pool, &dp, dense_workers,
+            ray_t* r = exec_group_v2_parallel_dense(g, op, tbl, key_cols, key_syms, ext, nrows, pool, &dp, dense_workers, AGG_DENSE_TASK_LOCAL,
                                                     sel, sel_prefix, n_sel);
             agg_vo_free(&vo); scratch_free(kc_hdr); return r;
         }
@@ -3101,7 +4326,7 @@ static ray_t* exec_group_v2_run(ray_graph_t* g, ray_op_t* op, ray_t* tbl,
     if (!result || RAY_IS_ERR(result)) { scratch_free(kc_hdr); agg_groups_free(&groups); return ray_error("oom", NULL); }
 
     for (uint32_t k = 0; k < ext->n_keys; k++) {
-        ray_t* kc = agg_gather_key_col(key_cols[k], groups.first_row, groups.ngroups);
+        ray_t* kc = ray_group_gather(key_cols[k], groups.first_row, groups.ngroups);
         if (!kc || RAY_IS_ERR(kc)) { scratch_free(kc_hdr); agg_groups_free(&groups); ray_release(result); return kc ? kc : ray_error("oom", NULL); }
         result = ray_table_add_col(result, key_syms[k], kc);
         ray_release(kc);
@@ -3262,14 +4487,6 @@ static inline int64_t agg_read_key_i64(ray_t* col, const void* data, int64_t row
     }
 }
 
-/* Write a finalized scalar cell into output column slot i, marking nulls.
- * Shared by agg_run_one (serial) and the parallel finalize. */
-static void agg_put_cell(ray_t* out, int64_t i, ray_t* cell) {
-    if (agg_put_cell_value(out, i, cell))
-        ray_vec_set_null(out, i, true);
-
-}
-
 ray_t* agg_run_one(const agg_vtable_t* vt, ray_t* val_col,
                    const uint32_t* gids, int64_t nrows, int64_t ngroups,
                    int64_t kparam) {
@@ -3294,13 +4511,13 @@ ray_t* agg_run_one(const agg_vtable_t* vt, ray_t* val_col,
     }
     out->len = ngroups;
     for (int64_t gi = 0; gi < ngroups; gi++) {
-        ray_t* cell = vt->finalize(states + (size_t)gi * vt->state_size, NULL, kparam);
+        const void* state = states + (size_t)gi * vt->state_size;
         if (is_list) {
+            ray_t* cell = vt->finalize(state, NULL, kparam);
             out = ray_list_set(out, gi, cell);   /* retains cell */
-            ray_release(cell);                    /* drop our local ref */
-        } else {
-            agg_put_cell(out, gi, cell);
             ray_release(cell);
+        } else if (agg_finalize_value(vt, state, out, gi, kparam)) {
+            out->attrs |= RAY_ATTR_HAS_NULLS;
         }
         if (vt->destroy) vt->destroy(states + (size_t)gi * vt->state_size);
     }
@@ -3335,9 +4552,8 @@ ray_t* agg_run_one_bin(const agg_vtable_t* vt, ray_t* x_col, ray_t* y_col,
     }
     out->len = ngroups;
     for (int64_t gi = 0; gi < ngroups; gi++) {
-        ray_t* cell = vt->finalize(states + (size_t)gi * vt->state_size, NULL, kparam);
-        agg_put_cell(out, gi, cell);
-        ray_release(cell);
+        if (agg_finalize_value(vt, states + (size_t)gi * vt->state_size, out, gi, kparam))
+            out->attrs |= RAY_ATTR_HAS_NULLS;
         if (vt->destroy) vt->destroy(states + (size_t)gi * vt->state_size);
     }
     ray_free_raw(states);
@@ -3351,6 +4567,11 @@ ray_t* agg_run_one_bin(const agg_vtable_t* vt, ray_t* x_col, ray_t* y_col,
  * first-occurrence order) so the downstream emit/assembler is unchanged. */
 static int agg_group_keys_dense(ray_t** key_cols, int64_t nrows,
                                 const dense_plan_t* dp, agg_groups_t* out) {
+    /* Direct dense lookup needs one row pass; shared first-row IDs need four.
+     * Small pools cannot amortize the extra traffic and barriers. */
+    if (ray_pool_par_dispatch_ok(ray_pool_get(), nrows, RAY_PARALLEL_THRESHOLD) &&
+            ray_pool_total_workers(ray_pool_get()) >= 4)
+        return agg_group_keys_parallel(key_cols, dp->n_keys, nrows, dp, out);
     const void* data[16];   /* [16]: dense path is <=16-key by construction (agg_dense_plan
                              * rejects wider shapes to v2's hash/radix; dp->n_keys is that <=16) */
     for (uint32_t k = 0; k < dp->n_keys; k++) data[k] = ray_data(key_cols[k]);
@@ -3402,20 +4623,21 @@ static uint64_t agg_float_key(ray_t* col, const void* data, int64_t r) {
 }
 /* Domain/owner-aware vector comparison for nested LIST keys. Raw descriptor
  * equality is unsuitable for narrow SYM vectors and separately pooled strings. */
-static bool agg_list_key_eq(ray_t* a, ray_t* b) {
-    if (!a || !b) return a == b;
+static bool agg_list_key_eq(ray_t* a, ray_t* b, const ray_group_sym_view_t* view) {
+    if (a == b) return true;
+    if (!a || !b) return false;
     if (a->type == RAY_LIST && b->type == RAY_LIST) {
         if (a->len != b->len) return false;
         for (int64_t i = 0; i < a->len; i++)
-            if (!agg_list_key_eq(ray_list_get(a, i), ray_list_get(b, i))) return false;
+            if (!agg_list_key_eq(ray_list_get(a, i), ray_list_get(b, i), view)) return false;
         return true;
     }
     if (a->type == b->type && (a->type == RAY_SYM || a->type == RAY_STR)) {
         if (a->len != b->len) return false;
         for (int64_t i = 0; i < a->len; i++) {
             if (a->type == RAY_SYM) {
-                ray_t* x = ray_sym_domain_str(ray_sym_vec_domain(a), ray_read_sym(ray_data(a), i, a->type, a->attrs));
-                ray_t* y = ray_sym_domain_str(ray_sym_vec_domain(b), ray_read_sym(ray_data(b), i, b->type, b->attrs));
+                ray_t* x = ray_group_sym_read(view, ray_sym_vec_domain(a), ray_read_sym(ray_data(a), i, a->type, a->attrs));
+                ray_t* y = ray_group_sym_read(view, ray_sym_vec_domain(b), ray_read_sym(ray_data(b), i, b->type, b->attrs));
                 if (ray_str_cmp(x, y)) return false;
             } else {
                 size_t nx = 0, ny = 0;
@@ -3430,12 +4652,12 @@ static bool agg_list_key_eq(ray_t* a, ray_t* b) {
 }
 
 /* Match atom_eq's structural LIST / byte-exact typed-vector contract. */
-static uint64_t agg_list_key_hash(ray_t* value) {
+static uint64_t agg_list_key_hash(ray_t* value, const ray_group_sym_view_t* view) {
     if (!value || ray_is_atom(value)) return ray_atom_hash(value);
     if (value->type == RAY_LIST) {
         uint64_t hash = ray_hash_i64(value->len);
         ray_t* const* children = ray_data(value);
-        for (int64_t i = 0; i < value->len; i++) hash = ray_hash_combine(hash, agg_list_key_hash(children[i]));
+        for (int64_t i = 0; i < value->len; i++) hash = ray_hash_combine(hash, agg_list_key_hash(children[i], view));
         return hash;
     }
     if (value->type == RAY_SYM || value->type == RAY_STR) {
@@ -3443,7 +4665,7 @@ static uint64_t agg_list_key_hash(ray_t* value) {
         for (int64_t i = 0; i < value->len; i++) {
             size_t len = 0; const char* str;
             if (value->type == RAY_SYM) {
-                ray_t* atom = ray_sym_domain_str(ray_sym_vec_domain(value), ray_read_sym(ray_data(value), i, value->type, value->attrs));
+                ray_t* atom = ray_group_sym_read(view, ray_sym_vec_domain(value), ray_read_sym(ray_data(value), i, value->type, value->attrs));
                 str = ray_str_ptr(atom); len = ray_str_len(atom);
             } else str = ray_str_vec_get(value, i, &len);
             hash = ray_hash_combine(hash, ray_hash_bytes(str ? str : "", len));
@@ -3456,8 +4678,8 @@ static uint64_t agg_list_key_hash(ray_t* value) {
     }
     return ray_atom_hash(value);
 }
-static inline uint64_t agg_key_hash_at(ray_t* col, const void* data, int64_t r) {
-    if (col->type == RAY_LIST) return agg_list_key_hash(((ray_t* const*)data)[r]);
+static inline uint64_t agg_key_hash_at(ray_t* col, const void* data, int64_t r, const ray_group_sym_view_t* view) {
+    if (col->type == RAY_LIST) return agg_list_key_hash(((ray_t* const*)data)[r], view);
     if (col->type == RAY_F32 || col->type == RAY_F64) return ray_hash_i64((int64_t)agg_float_key(col, data, r));
     if (col->type == RAY_GUID) return ray_hash_bytes((const char*)data + (size_t)r * 16, 16);
     if (col->type == RAY_STR) {
@@ -3467,8 +4689,8 @@ static inline uint64_t agg_key_hash_at(ray_t* col, const void* data, int64_t r)
     }
     return (uint64_t)agg_read_key_i64(col, data, r);
 }
-static inline int agg_key_eq_at(ray_t* col, const void* data, int64_t a, int64_t b) {
-    if (col->type == RAY_LIST) return agg_list_key_eq(((ray_t* const*)data)[a], ((ray_t* const*)data)[b]);
+static inline int agg_key_eq_at(ray_t* col, const void* data, int64_t a, int64_t b, const ray_group_sym_view_t* view) {
+    if (col->type == RAY_LIST) return agg_list_key_eq(((ray_t* const*)data)[a], ((ray_t* const*)data)[b], view);
     if (col->type == RAY_F32 || col->type == RAY_F64) return agg_float_key(col, data, a) == agg_float_key(col, data, b);
     if (col->type == RAY_GUID) return memcmp((const char*)data + (size_t)a * 16, (const char*)data + (size_t)b * 16, 16) == 0;
     if (col->type == RAY_STR) {
@@ -3480,8 +4702,243 @@ static inline int agg_key_eq_at(ray_t* col, const void* data, int64_t a, int64_t
     return agg_read_key_i64(col, data, a) == agg_read_key_i64(col, data, b);
 }
 
+typedef struct {
+    ray_t* source;
+    const void* data;
+    const int64_t* rows;
+    const int64_t* offsets;
+    const int64_t* counts;
+    int64_t* output;
+    _Atomic(bool) failed;
+    ray_group_sym_view_t symbols;
+} agg_distinct_indexed_t;
+static void agg_distinct_indexed_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_distinct_indexed_t* c = raw;
+    int64_t largest = 0;
+    for (int64_t g = start; g < end; g++) if (c->counts[g] > largest) largest = c->counts[g];
+    uint64_t capacity = 16;
+    while (capacity < (uint64_t)largest * 2) {
+        if (capacity > SIZE_MAX / sizeof(int64_t) / 2) { atomic_store(&c->failed, true); return; }
+        capacity *= 2;
+    }
+    int64_t* entries = ray_alloc_raw((size_t)capacity * sizeof(int64_t));
+    if (!entries) { atomic_store(&c->failed, true); return; }
+    for (int64_t g = start; g < end && !agg_cancelled(); g++) {
+        uint64_t size = 16;
+        while (size < (uint64_t)c->counts[g] * 2) size *= 2;
+        memset(entries, 0, (size_t)size * sizeof(int64_t));
+        int64_t distinct = 0;
+        for (int64_t i = 0; i < c->counts[g]; i++) {
+            int64_t row = c->rows[c->offsets[g] + i];
+            uint64_t slot = agg_key_hash_at(c->source, c->data, row, &c->symbols) & (size - 1);
+            while (entries[slot] && !agg_key_eq_at(c->source, c->data, row, entries[slot] - 1, &c->symbols))
+                slot = (slot + 1) & (size - 1);
+            if (!entries[slot]) { entries[slot] = row + 1; distinct++; }
+        }
+        c->output[g] = distinct;
+    }
+    ray_free_raw(entries);
+}
+ray_t* agg_count_distinct_indexed(ray_t* src, const int64_t* rows,
+        const int64_t* offsets, const int64_t* counts, int64_t groups) {
+    if (src->type != RAY_STR && src->type != RAY_GUID && src->type != RAY_LIST) return NULL;
+    ray_t* out = ray_vec_new(RAY_I64, groups);
+    if (!out || RAY_IS_ERR(out)) return out ? out : ray_error("oom", NULL);
+    out->len = groups;
+    agg_distinct_indexed_t c = {src, ray_data(src), rows, offsets, counts, ray_data(out), false, {0}};
+    if (src->type == RAY_LIST) ray_sym_strings_borrow(&c.symbols.strings, &c.symbols.count);
+    ray_group_dispatch(agg_distinct_indexed_run, &c, counts, groups);
+    if (agg_cancelled() || atomic_load(&c.failed)) {
+        ray_release(out); return ray_error(agg_cancelled() ? "cancel" : "oom", NULL);
+    }
+    return out;
+}
+
+/* One shared key directory, with earliest source row as the representative.
+ * Concurrent insertion never changes a key's identity: competing rows compare
+ * immutable input columns, then atomically lower its representative. Separate
+ * barriers assign deterministic first-occurrence group IDs and remap rows.
+ * Memory is O(rows + directory), independent of the number of workers. */
+typedef struct {
+    ray_t** keys;
+    const void** data;
+    uint32_t nkeys, tasks, init_tasks;
+    int64_t rows, capacity, init_pages;
+    const dense_plan_t* dense;
+    void* first;
+    bool narrow;
+    uint8_t* unique;
+    int64_t* offsets;
+    agg_groups_t* out;
+    ray_group_sym_view_t symbols;
+} agg_key_build_t;
+
+/* Coarse aligned ranges avoid concurrent first writes to common 2 MiB
+ * huge pages. Small directories initialize inline; large ones retain
+ * enough independent ranges to use the worker pool. */
+enum { AGG_DIRECTORY_INIT_BYTES = 2 * 1024 * 1024 };
+static void agg_key_directory_init(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_key_build_t* c = raw;
+#define KEY_DIRECTORY_INIT(TYPE, EMPTY) do { \
+        _Atomic TYPE* first_slots = c->first; \
+        uint64_t offset = (uintptr_t)c->first & (AGG_DIRECTORY_INIT_BYTES - 1); \
+        for (int64_t task = start; task < end; task++) { \
+            uint64_t lo = (uint64_t)(c->init_pages * task / c->init_tasks) * AGG_DIRECTORY_INIT_BYTES; \
+            uint64_t hi = (uint64_t)(c->init_pages * (task + 1) / c->init_tasks) * AGG_DIRECTORY_INIT_BYTES; \
+            int64_t begin = lo < offset ? 0 : (int64_t)((lo - offset) / sizeof(*first_slots)); \
+            int64_t limit = (int64_t)((hi - offset) / sizeof(*first_slots)); \
+            if (limit > c->capacity) limit = c->capacity; \
+            for (int64_t i = begin; i < limit; i++) atomic_init(&first_slots[i], EMPTY); \
+        } \
+    } while (0)
+    if (c->narrow) KEY_DIRECTORY_INIT(int32_t, INT32_MAX);
+    else KEY_DIRECTORY_INIT(int64_t, INT64_MAX);
+#undef KEY_DIRECTORY_INIT
+}
+static void agg_key_directory_insert(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_key_build_t* c = raw;
+#define KEY_DIRECTORY_INSERT(TYPE, EMPTY) do { \
+        _Atomic TYPE* first_slots = c->first; \
+        for (int64_t r = start; r < end; r++) { \
+            uint64_t slot = 0; \
+            if (c->dense) { \
+                for (uint32_t k = 0; k < c->nkeys; k++) \
+                    slot += agg_dense_component(c->dense, k, agg_read_key_i64(c->keys[k], c->data[k], r)) \
+                        * c->dense->strides[k]; \
+            } else { \
+                uint64_t hash = UINT64_C(1469598103934665603); \
+                for (uint32_t k = 0; k < c->nkeys; k++) { \
+                    hash ^= agg_key_hash_at(c->keys[k], c->data[k], r, &c->symbols); \
+                    hash *= UINT64_C(1099511628211); \
+                } \
+                slot = hash & (c->capacity - 1); \
+            } \
+            for (;;) { \
+                TYPE first = atomic_load_explicit(&first_slots[slot], memory_order_relaxed); \
+                if (!c->dense && first != EMPTY) { \
+                    bool equal = true; \
+                    for (uint32_t k = 0; k < c->nkeys && equal; k++) \
+                        equal = agg_key_eq_at(c->keys[k], c->data[k], r, first, &c->symbols); \
+                    if (!equal) { slot = (slot + 1) & (c->capacity - 1); continue; } \
+                } \
+                if (r < first && !atomic_compare_exchange_weak_explicit(&first_slots[slot], &first, (TYPE)r, \
+                        memory_order_relaxed, memory_order_relaxed)) continue; \
+                c->out->gids[r] = (uint32_t)slot; \
+                break; \
+            } \
+        } \
+    } while (0)
+    if (c->narrow) KEY_DIRECTORY_INSERT(int32_t, INT32_MAX);
+    else KEY_DIRECTORY_INSERT(int64_t, INT64_MAX);
+#undef KEY_DIRECTORY_INSERT
+}
+static void agg_key_directory_count(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_key_build_t* c = raw;
+#define KEY_DIRECTORY_COUNT(TYPE, EMPTY) do { \
+        _Atomic TYPE* first_slots = c->first; \
+        for (int64_t task = start; task < end; task++) { \
+            int64_t begin = c->rows / c->tasks * task; \
+            int64_t limit = task + 1 == c->tasks ? c->rows : c->rows / c->tasks * (task + 1); \
+            int64_t count = 0; \
+            for (int64_t r = begin; r < limit; r++) { \
+                bool first = atomic_load_explicit(&first_slots[c->out->gids[r]], memory_order_relaxed) == r; \
+                c->unique[r] = first; \
+                count += first; \
+            } \
+            c->offsets[task + 1] = count; \
+        } \
+    } while (0)
+    if (c->narrow) KEY_DIRECTORY_COUNT(int32_t, INT32_MAX);
+    else KEY_DIRECTORY_COUNT(int64_t, INT64_MAX);
+#undef KEY_DIRECTORY_COUNT
+}
+static void agg_key_directory_compact(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_key_build_t* c = raw;
+#define KEY_DIRECTORY_COMPACT(TYPE, EMPTY) do { \
+        _Atomic TYPE* first_slots = c->first; \
+        for (int64_t task = start; task < end; task++) { \
+            int64_t begin = c->rows / c->tasks * task; \
+            int64_t limit = task + 1 == c->tasks ? c->rows : c->rows / c->tasks * (task + 1); \
+            int64_t gid = c->offsets[task]; \
+            for (int64_t r = begin; r < limit; r++) if (c->unique[r]) { \
+                c->out->first_row[gid] = r; \
+                atomic_store_explicit(&first_slots[c->out->gids[r]], (TYPE)gid++, memory_order_relaxed); \
+            } \
+        } \
+    } while (0)
+    if (c->narrow) KEY_DIRECTORY_COMPACT(int32_t, INT32_MAX);
+    else KEY_DIRECTORY_COMPACT(int64_t, INT64_MAX);
+#undef KEY_DIRECTORY_COMPACT
+}
+static void agg_key_directory_remap(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; agg_key_build_t* c = raw;
+#define KEY_DIRECTORY_REMAP(TYPE, EMPTY) do { \
+        _Atomic TYPE* first_slots = c->first; \
+        for (int64_t r = start; r < end; r++) \
+            c->out->gids[r] = (uint32_t)atomic_load_explicit(&first_slots[c->out->gids[r]], memory_order_relaxed); \
+    } while (0)
+    if (c->narrow) KEY_DIRECTORY_REMAP(int32_t, INT32_MAX);
+    else KEY_DIRECTORY_REMAP(int64_t, INT64_MAX);
+#undef KEY_DIRECTORY_REMAP
+}
+static int agg_group_keys_parallel(ray_t** keys, uint32_t nkeys, int64_t rows,
+                                    const dense_plan_t* dp, agg_groups_t* out) {
+    ray_pool_t* pool = ray_pool_get();
+    uint32_t tasks = ray_pool_total_workers(pool) * 4;
+    if (tasks > RAY_POOL_INIT_TASKS) tasks = RAY_POOL_INIT_TASKS;
+    int64_t cap = dp ? dp->total_slots : 16;
+    if (!dp) while (cap < rows * 2) cap *= 2;
+    agg_key_build_t c = {.keys = keys, .nkeys = nkeys, .tasks = tasks, .rows = rows,
+        .capacity = cap, .dense = dp, .out = out, .narrow = rows <= INT32_MAX};
+    for (uint32_t k = 0; k < nkeys; k++) if (keys[k]->type == RAY_LIST) {
+        ray_sym_strings_borrow(&c.symbols.strings, &c.symbols.count); break;
+    }
+    c.data = ray_alloc_raw((size_t)nkeys * sizeof(*c.data));
+    /* Row and group ids below INT32_MAX leave its maximum value available
+     * as the empty sentinel. Larger dense inputs retain full-width entries. */
+    c.first = ray_alloc_raw((size_t)cap * (c.narrow ? sizeof(_Atomic(int32_t)) : sizeof(_Atomic(int64_t))));
+    c.unique = ray_alloc_raw((size_t)rows);
+    c.offsets = ray_calloc_raw((tasks + 1) * sizeof(*c.offsets));
+    out->gids = ray_alloc_raw((size_t)rows * sizeof(*out->gids));
+    out->first_row = NULL;
+    int rc = -1;
+    if (!c.data || !c.first || !c.unique || !c.offsets || !out->gids) goto done;
+    for (uint32_t k = 0; k < nkeys; k++) c.data[k] = ray_data(keys[k]);
+    ray_profile_tick("directory: allocated");
+    size_t entry_size = c.narrow ? sizeof(_Atomic(int32_t)) : sizeof(_Atomic(int64_t));
+    uint64_t init_bytes = ((uintptr_t)c.first & (AGG_DIRECTORY_INIT_BYTES - 1)) + (uint64_t)cap * entry_size;
+    c.init_pages = (init_bytes + AGG_DIRECTORY_INIT_BYTES - 1) / AGG_DIRECTORY_INIT_BYTES;
+    c.init_tasks = c.init_pages < tasks ? (uint32_t)c.init_pages : tasks;
+    if (c.init_tasks == 1) agg_key_directory_init(&c, 0, 0, 1);
+    else ray_pool_dispatch_n(pool, agg_key_directory_init, &c, c.init_tasks);
+    ray_profile_tick("directory: initialized");
+    ray_pool_dispatch(pool, agg_key_directory_insert, &c, rows);
+    ray_profile_tick("directory: inserted keys");
+    if (agg_cancelled()) goto done;
+    ray_pool_dispatch_n(pool, agg_key_directory_count, &c, tasks);
+    ray_profile_tick("directory: counted groups");
+    if (agg_cancelled()) goto done;
+    for (uint32_t t = 0; t < tasks; t++) c.offsets[t + 1] += c.offsets[t];
+    out->ngroups = c.offsets[tasks];
+    /* Representatives need one entry per group, not per input row. Delay
+     * allocation until the prefix counts give the exact output capacity. */
+    out->first_row = ray_alloc_raw((size_t)(out->ngroups ? out->ngroups : 1) * sizeof(*out->first_row));
+    if (!out->first_row) goto done;
+    ray_pool_dispatch_n(pool, agg_key_directory_compact, &c, tasks);
+    ray_profile_tick("directory: compacted groups");
+    ray_pool_dispatch(pool, agg_key_directory_remap, &c, rows);
+    ray_profile_tick("directory: remapped rows");
+    if (!agg_cancelled()) rc = 0;
+done:
+    ray_free_raw(c.data); ray_free_raw(c.first); ray_free_raw(c.unique); ray_free_raw(c.offsets);
+    if (rc) agg_groups_free(out);
+    return rc;
+}
+
 int agg_group_keys(ray_t** key_cols, uint32_t n_keys, int64_t nrows, agg_groups_t* out) {
     if (nrows < 0 || nrows > INT32_MAX) return -1;
+    if (ray_pool_par_dispatch_ok(ray_pool_get(), nrows, RAY_PARALLEL_THRESHOLD))
+        return agg_group_keys_parallel(key_cols, n_keys, nrows, NULL, out);
     /* Unbounded keys: cut-3 lifted both admission gates (the GROUP path and the
      * keys-only DISTINCT path via agg_select_distinct), so the key-data pointer
      * table is an exact carve, not a fixed [16]. */
@@ -3490,6 +4947,11 @@ int agg_group_keys(ray_t** key_cols, uint32_t n_keys, int64_t nrows, agg_groups_
     if (!data) return -1;
     for (uint32_t k = 0; k < n_keys; k++) data[k] = ray_data(key_cols[k]);
 
+    ray_group_sym_view_t symbols = {0};
+    for (uint32_t k = 0; k < n_keys; k++) if (key_cols[k]->type == RAY_LIST) {
+        ray_sym_strings_borrow(&symbols.strings, &symbols.count); break;
+    }
+
     /* hash table capacity: next pow2 >= 2*nrows, min 16 */
     int64_t cap = 16;
     while (cap < nrows * 2) cap <<= 1;
@@ -3509,7 +4971,7 @@ int agg_group_keys(ray_t** key_cols, uint32_t n_keys, int64_t nrows, agg_groups_
     for (int64_t r = 0; r < nrows; r++) {
         uint64_t h = 1469598103934665603ULL;
         for (uint32_t k = 0; k < n_keys; k++) {
-            h ^= agg_key_hash_at(key_cols[k], data[k], r); h *= 1099511628211ULL;
+            h ^= agg_key_hash_at(key_cols[k], data[k], r, &symbols); h *= 1099511628211ULL;
         }
         uint64_t slot = h & mask;
         for (;;) {
@@ -3524,7 +4986,7 @@ int agg_group_keys(ray_t** key_cols, uint32_t n_keys, int64_t nrows, agg_groups_
             int64_t fr = out->first_row[gptr];
             int eq = 1;
             for (uint32_t k = 0; k < n_keys; k++) {
-                if (!agg_key_eq_at(key_cols[k], data[k], r, fr)) { eq = 0; break; }
+                if (!agg_key_eq_at(key_cols[k], data[k], r, fr, &symbols)) { eq = 0; break; }
             }
             if (eq) { out->gids[r] = (uint32_t)gptr; break; }
             slot = (slot + 1) & mask;                /* linear probe */
@@ -3544,7 +5006,7 @@ void agg_groups_free(agg_groups_t* out) {
 
 /* Gather one column's first-of-group values (first_row[gi]) by type: STR via the
  * string-vec path (null-preserving), LIST via retained borrows, everything else
- * (fixed-width + SYM) via agg_gather_key_col — which adopts a SYM column's source
+ * (fixed-width + SYM) via ray_group_gather — which adopts a SYM column's source
  * domain, so SYM columns are NEVER interned into the global table.  Returns a new
  * column of n rows, or an error/NULL on failure. */
 static ray_t* agg_gather_col_at(ray_t* sc, const int64_t* first_row, int64_t n) {
@@ -3577,7 +5039,7 @@ static ray_t* agg_gather_col_at(ray_t* sc, const int64_t* first_row, int64_t n)
         for (int64_t gi = 0; gi < n; gi++) { dout[gi] = sitems[first_row[gi]]; ray_retain(dout[gi]); }
         return dst;
     }
-    return agg_gather_key_col(sc, first_row, n);
+    return ray_group_gather(sc, first_row, n);
 }
 
 /* Multi-key `select {by: {keys}}` with NO aggregates.  Group on each key
diff --git a/src/ops/agg_engine.h b/src/ops/agg_engine.h
index a53beded..76a23f6f 100644
--- a/src/ops/agg_engine.h
+++ b/src/ops/agg_engine.h
@@ -42,6 +42,13 @@ typedef enum {
     AGG_ROUTE_COUNT,
 } agg_route_t;
 
+typedef enum {
+    AGG_DENSE_NONE,
+    AGG_DENSE_TASK_LOCAL,
+    AGG_DENSE_PARTITIONED,
+    AGG_DENSE_SHARED,
+} agg_dense_strategy_t;
+
 /* Per-calling-thread dispatch counts since reset, not a whole-query trace.
  * Nested/partitioned groups may record multiple routes. Incremented only at
  * dispatch boundaries, never inside worker row loops. A count records an
@@ -53,7 +60,9 @@ typedef struct {
     bool nullable_key;              /* last v2 run: non-SYM key may contain nulls */
     bool dense_plan_available;      /* last v2 run: bounded dense range exists */
     bool dense_worker_budget;       /* worker allocation or sampled traffic budget exceeded */
-    uint32_t dense_tasks;           /* selected logical dense tasks, may be less than pool workers */
+    agg_dense_strategy_t dense_strategy;
+    uint64_t dense_local_slots;     /* allocated group-state slots, including partials */
+    uint32_t dense_tasks;           /* local/partition tasks; worker count for shared updates */
 } agg_route_stats_t;
 void agg_route_reset(void);
 agg_route_stats_t agg_route_stats(void);
@@ -89,6 +98,12 @@ typedef struct {
  * (the GROUP path and the keys-only DISTINCT path) and the fixed data[16]
  * inside became an exact carve, so any key count groups correctly. */
 int agg_group_keys(ray_t** key_cols, uint32_t n_keys, int64_t nrows, agg_groups_t* out);
+/* Exact wide-value distinct counts over an existing stable group index. */
+ray_t* agg_count_distinct_indexed(ray_t* src, const int64_t* rows,
+    const int64_t* offsets, const int64_t* counts, int64_t groups);
+/* Large flat grouping: return first-occurrence keys and stable index vectors,
+ * or NULL when the existing serial implementation should handle the input. */
+ray_t* agg_group_indices(ray_t* source);
 
 /* Release the buffers an agg_groups_t holds (buddy-backed, NOT libc malloc — so
  * callers must use this, not free()).  Idempotent; NULLs the pointers. */
@@ -115,6 +130,9 @@ ray_t* agg_select_distinct(ray_t* tbl, ray_t** key_cols, const int64_t* key_syms
 ray_t* agg_run_one(const agg_vtable_t* vt, ray_t* val_col,
                    const uint32_t* gids, int64_t nrows, int64_t ngroups,
                    int64_t kparam);
+ray_t* agg_run_one_bin(const agg_vtable_t* vt, ray_t* x_col, ray_t* y_col,
+                       const uint32_t* gids, int64_t nrows, int64_t ngroups,
+                       int64_t kparam);
 
 /* ── Dense grouping eligibility selector (compact-range int/SYM keys) ──
  * When dense applies, a group id is the packed key offset (O(1) direct index)
@@ -132,7 +150,7 @@ typedef struct {
 } dense_plan_t;
 
 /* Decide if dense grouping applies to (key_cols, aggs).  Eligible iff:
- *  - every key type in {I64,I32,I16,U8,BOOL,DATE,TIME,TIMESTAMP,SYM} with no nullable non-SYM keys
+ *  - every key type in {I64,I32,I16,U8,BOOL,DATE,TIME,TIMESTAMP,SYM} with a dedicated slot for nullable keys
  *  - product of per-key ranges is no larger than the contributing row count
  *    (so dense state is O(input), never controlled by a machine-size budget)
  * Does one min/max prescan over the key columns.  Sets out->ok accordingly.
diff --git a/src/ops/agg_stream.c b/src/ops/agg_stream.c
index 3a2206c6..89d7aa47 100644
--- a/src/ops/agg_stream.c
+++ b/src/ops/agg_stream.c
@@ -10,6 +10,19 @@
 #include <stdlib.h>         /* realloc/free for the buffered median accumulator */
 #include <string.h>         /* memcpy for the top_n/bot_n native buffer */
 
+/* Registry dispatch already fixes each native kernel's input representation.
+ * Select its sentinel reader at compile time, preserving the validity view's
+ * base pointer without repeating a runtime type switch for every row. */
+static inline bool agg_live_i16(const void* p, int64_t i) { return ((const int16_t*)p)[i] != NULL_I16; }
+static inline bool agg_live_i32(const void* p, int64_t i) { return ((const int32_t*)p)[i] != NULL_I32; }
+static inline bool agg_live_i64(const void* p, int64_t i) { return ((const int64_t*)p)[i] != NULL_I64; }
+static inline bool agg_live_f32(const void* p, int64_t i) { float v = ((const float*)p)[i]; return v == v; }
+static inline bool agg_live_f64(const void* p, int64_t i) { double v = ((const double*)p)[i]; return v == v; }
+static inline bool agg_live_u8(const void* p, int64_t i) { (void)p; (void)i; return true; }
+#define AGG_NATIVE_LIVE(data, validity, row) _Generic(*(data), \
+    int16_t: agg_live_i16, int32_t: agg_live_i32, int64_t: agg_live_i64, \
+    float: agg_live_f32, double: agg_live_f64, uint8_t: agg_live_u8)((validity)->base, row)
+
 /* No-null fast path.  has_nulls is loop-invariant, but the compiler does NOT
  * reliably hoist ray_valid_at out of the per-row update — it shows up as ~12% of
  * a sum group-by in profiling.  Branch on it ONCE: the common non-null column
@@ -21,12 +34,25 @@
             for (int64_t i = 0; i < (n); i++) { BODY; }            \
         } else {                                                   \
             for (int64_t i = 0; i < (n); i++) {                    \
-                if (!ray_valid_at((valid), i)) continue;           \
+                if (!AGG_NATIVE_LIVE(d, (valid), i)) continue;           \
                 BODY;                                              \
             }                                                      \
         }                                                          \
     } while (0)
 
+/* Both output APIs share one primitive result calculation. Streaming group
+ * emission writes that payload directly, avoiding one allocation per group. */
+#define AGG_SCALAR_FINAL(NAME, TYPE, BOX, IS_NULL) \
+static bool NAME##_value(const void* state, void* dst) { \
+    TYPE value = NAME##_result(state); \
+    memcpy(dst, &value, sizeof(value)); \
+    return (IS_NULL); \
+} \
+static ray_t* NAME(const void* state, acc_arena_t* arena, int64_t param) { \
+    (void)arena; (void)param; \
+    return BOX(NAME##_result(state)); \
+}
+
 /* ---- sum, I64 -------------------------------------------------------- */
 typedef struct { int64_t sum; } sum_i64_state;
 
@@ -49,14 +75,15 @@ static void sum_i64_merge(void* dst, const void* src, acc_arena_t* a) {
                                          + (uint64_t)((const sum_i64_state*)src)->sum);
 }
 
-static ray_t* sum_i64_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; return ray_i64(((const sum_i64_state*)s)->sum);
+static int64_t sum_i64_final_result(const void* s) {
+    return ((const sum_i64_state*)s)->sum;
 }
+AGG_SCALAR_FINAL(sum_i64_final, int64_t, ray_i64, value == NULL_I64)
 
 static const agg_vtable_t SUM_I64 = {
     .state_size = sizeof(sum_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = sum_i64_init, .update_batch = sum_i64_update,
-    .merge = sum_i64_merge, .finalize = sum_i64_final,
+    .merge = sum_i64_merge, .finalize = sum_i64_final, .finalize_value = sum_i64_final_value,
 };
 
 /* ---- count (type-agnostic over live rows) ---------------------------- */
@@ -72,17 +99,68 @@ static void count_update(void* base, size_t stride, const uint32_t* gids,
 static void count_merge(void* d, const void* s, acc_arena_t* a) {
     (void)a; ((count_state*)d)->n += ((const count_state*)s)->n;
 }
-static ray_t* count_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; return ray_i64(((const count_state*)s)->n);
+static int64_t count_final_result(const void* s) {
+    return ((const count_state*)s)->n;
 }
+AGG_SCALAR_FINAL(count_final, int64_t, ray_i64, value == NULL_I64)
 static const agg_vtable_t COUNT_ANY = {
     .state_size = sizeof(count_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = count_init, .update_batch = count_update,
-    .merge = count_merge, .finalize = count_final,
+    .merge = count_merge, .finalize = count_final, .finalize_value = count_final_value,
 };
 
 /* ---- min / max I64 (empty group → typed null) ------------------------ */
 typedef struct { int64_t v; int64_t cnt; } ext_i64_state;
+/* Narrow native extrema need a value and validity, not a 64-bit count. */
+typedef struct { _Alignas(8) int32_t v; uint32_t seen; } ext_i32_state;
+_Static_assert(sizeof(ext_i32_state) == 8, "shared extrema require one aligned 64-bit state");
+static void min_i32_init(void* s) { *(ext_i32_state*)s = (ext_i32_state){ INT32_MAX, 0 }; }
+static void max_i32_init(void* s) { *(ext_i32_state*)s = (ext_i32_state){ INT32_MIN, 0 }; }
+static void min_i32_merge(void* d, const void* s, acc_arena_t* a) {
+    (void)a; const ext_i32_state* src = s; ext_i32_state* dst = d;
+    if (src->seen && src->v < dst->v) dst->v = src->v;
+    dst->seen |= src->seen;
+}
+static void max_i32_merge(void* d, const void* s, acc_arena_t* a) {
+    (void)a; const ext_i32_state* src = s; ext_i32_state* dst = d;
+    if (src->seen && src->v > dst->v) dst->v = src->v;
+    dst->seen |= src->seen;
+}
+/* Extrema only write when a value improves the result. Repeated hot keys
+ * therefore become shared reads once their current bound is established. */
+#if ATOMIC_LLONG_LOCK_FREE == 2
+#define NARROW_SHARED(NAME, T, CMP) \
+static void NAME(void* base, size_t stride, const uint32_t* gids, \
+                 const void* vals, const ray_valid_t* valid, int64_t n) { \
+    const T* d = vals; \
+    AGG_UPDATE_LOOP(valid, n, { \
+        ext_i32_state* state = (ext_i32_state*)((char*)base + (size_t)gids[i] * stride); \
+        ext_i32_state old; \
+        __atomic_load(state, &old, __ATOMIC_RELAXED); \
+        while (!old.seen || d[i] CMP old.v) { \
+            ext_i32_state next; next.v = d[i]; next.seen = 1; \
+            if (__atomic_compare_exchange(state, &old, &next, true, __ATOMIC_RELAXED, __ATOMIC_RELAXED)) break; \
+        } \
+    }); \
+}
+NARROW_SHARED(min_bool_shared, uint8_t, <)
+NARROW_SHARED(max_bool_shared, uint8_t, >)
+NARROW_SHARED(min_u8_shared, uint8_t, <)
+NARROW_SHARED(max_u8_shared, uint8_t, >)
+NARROW_SHARED(min_i16_shared, int16_t, <)
+NARROW_SHARED(max_i16_shared, int16_t, >)
+NARROW_SHARED(min_i32_shared, int32_t, <)
+NARROW_SHARED(max_i32_shared, int32_t, >)
+NARROW_SHARED(min_date_shared, int32_t, <)
+NARROW_SHARED(max_date_shared, int32_t, >)
+NARROW_SHARED(min_time_shared, int32_t, <)
+NARROW_SHARED(max_time_shared, int32_t, >)
+#undef NARROW_SHARED
+#define SHARED_UPDATE(NAME) .update_shared = NAME,
+#else
+#define SHARED_UPDATE(NAME)
+#endif
+
 static void min_i64_init(void* s) { ((ext_i64_state*)s)->v = INT64_MAX; ((ext_i64_state*)s)->cnt = 0; }
 static void max_i64_init(void* s) { ((ext_i64_state*)s)->v = INT64_MIN; ((ext_i64_state*)s)->cnt = 0; }
 static void min_i64_update(void* base, size_t stride, const uint32_t* gids,
@@ -115,19 +193,20 @@ static void max_i64_merge(void* d, const void* s, acc_arena_t* a) {
     if (src->cnt && src->v > dst->v) { dst->v = src->v; }
     dst->cnt += src->cnt;
 }
-static ray_t* ext_i64_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const ext_i64_state* st = s;
-    return st->cnt ? ray_i64(st->v) : ray_typed_null(-RAY_I64);
+static int64_t ext_i64_final_result(const void* s) {
+    const ext_i64_state* st = s;
+    return st->cnt ? st->v : NULL_I64;
 }
+AGG_SCALAR_FINAL(ext_i64_final, int64_t, ray_i64, value == NULL_I64)
 static const agg_vtable_t MIN_I64 = {
     .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = min_i64_init, .update_batch = min_i64_update,
-    .merge = min_i64_merge, .finalize = ext_i64_final,
+    .merge = min_i64_merge, .finalize = ext_i64_final, .finalize_value = ext_i64_final_value,
 };
 static const agg_vtable_t MAX_I64 = {
     .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = max_i64_init, .update_batch = max_i64_update,
-    .merge = max_i64_merge, .finalize = ext_i64_final,
+    .merge = max_i64_merge, .finalize = ext_i64_final, .finalize_value = ext_i64_final_value,
 };
 
 /* ---- sum, F64 -------------------------------------------------------- */
@@ -143,13 +222,14 @@ static void sum_f64_update(void* base, size_t stride, const uint32_t* gids,
 static void sum_f64_merge(void* d, const void* s, acc_arena_t* a) {
     (void)a; ((sum_f64_state*)d)->sum += ((const sum_f64_state*)s)->sum;
 }
-static ray_t* sum_f64_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; return ray_f64(ray_f64_fin(((const sum_f64_state*)s)->sum));
+static double sum_f64_final_result(const void* s) {
+    return ray_f64_fin(((const sum_f64_state*)s)->sum);
 }
+AGG_SCALAR_FINAL(sum_f64_final, double, ray_f64, value != value)
 static const agg_vtable_t SUM_F64 = {
     .state_size = sizeof(sum_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = sum_f64_init, .update_batch = sum_f64_update,
-    .merge = sum_f64_merge, .finalize = sum_f64_final,
+    .merge = sum_f64_merge, .finalize = sum_f64_final, .finalize_value = sum_f64_final_value,
 };
 
 /* ---- min / max F64 (empty group → typed null) ------------------------ */
@@ -186,21 +266,22 @@ static void max_f64_merge(void* d, const void* s, acc_arena_t* a) {
     if (src->cnt && src->v > dst->v) { dst->v = src->v; }
     dst->cnt += src->cnt;
 }
-static ray_t* ext_f64_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const ext_f64_state* st = s;
+static double ext_f64_final_result(const void* s) {
+    const ext_f64_state* st = s;
     /* min/max of finite inputs is finite, but ray_f64_fin guards against an
      * ±Inf that may have leaked in from a not-yet-canonicalized source. */
-    return st->cnt ? ray_f64(ray_f64_fin(st->v)) : ray_typed_null(-RAY_F64);
+    return st->cnt ? ray_f64_fin(st->v) : NULL_F64;
 }
+AGG_SCALAR_FINAL(ext_f64_final, double, ray_f64, value != value)
 static const agg_vtable_t MIN_F64 = {
     .state_size = sizeof(ext_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = min_f64_init, .update_batch = min_f64_update,
-    .merge = min_f64_merge, .finalize = ext_f64_final,
+    .merge = min_f64_merge, .finalize = ext_f64_final, .finalize_value = ext_f64_final_value,
 };
 static const agg_vtable_t MAX_F64 = {
     .state_size = sizeof(ext_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = max_f64_init, .update_batch = max_f64_update,
-    .merge = max_f64_merge, .finalize = ext_f64_final,
+    .merge = max_f64_merge, .finalize = ext_f64_final, .finalize_value = ext_f64_final_value,
 };
 
 /* ---- avg, F64 -------------------------------------------------------- */
@@ -219,14 +300,15 @@ static void avg_f64_merge(void* d, const void* s, acc_arena_t* a) {
     (void)a; ((avg_f64_state*)d)->sum += ((const avg_f64_state*)s)->sum;
     ((avg_f64_state*)d)->cnt += ((const avg_f64_state*)s)->cnt;
 }
-static ray_t* avg_f64_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const avg_f64_state* st = s;
-    return st->cnt ? ray_f64(ray_f64_fin(st->sum / (double)st->cnt)) : ray_typed_null(-RAY_F64);
+static double avg_f64_final_result(const void* s) {
+    const avg_f64_state* st = s;
+    return st->cnt ? ray_f64_fin(st->sum / (double)st->cnt) : NULL_F64;
 }
+AGG_SCALAR_FINAL(avg_f64_final, double, ray_f64, value != value)
 static const agg_vtable_t AVG_F64 = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_f64_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 /* ---- variance family, I64 (sumsq as int64 unsigned-wrap; formula group.c:2190) -- */
@@ -252,45 +334,49 @@ static inline double var_i64_varpop(const var_i64_state* st) {
     double vp = (double)st->sumsq / (double)st->cnt - mean*mean;
     return vp < 0 ? 0 : vp;
 }
-static ray_t* fin_var_pop_i64(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const var_i64_state* st = s;
-    if (st->cnt <= 0) return ray_typed_null(-RAY_F64);
-    return ray_f64(ray_f64_fin(var_i64_varpop(st)));
-}
-static ray_t* fin_var_i64(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const var_i64_state* st = s;
-    if (st->cnt <= 1) return ray_typed_null(-RAY_F64);
-    return ray_f64(ray_f64_fin(var_i64_varpop(st) * (double)st->cnt / ((double)st->cnt - 1.0)));
-}
-static ray_t* fin_stddev_pop_i64(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const var_i64_state* st = s;
-    if (st->cnt <= 0) return ray_typed_null(-RAY_F64);
-    return ray_f64(ray_f64_fin(sqrt(var_i64_varpop(st))));
-}
-static ray_t* fin_stddev_i64(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const var_i64_state* st = s;
-    if (st->cnt <= 1) return ray_typed_null(-RAY_F64);
-    return ray_f64(ray_f64_fin(sqrt(var_i64_varpop(st) * (double)st->cnt / ((double)st->cnt - 1.0))));
-}
+static double fin_var_pop_i64_result(const void* s) {
+    const var_i64_state* st = s;
+    if (st->cnt <= 0) return NULL_F64;
+    return ray_f64_fin(var_i64_varpop(st));
+}
+AGG_SCALAR_FINAL(fin_var_pop_i64, double, ray_f64, value != value)
+static double fin_var_i64_result(const void* s) {
+    const var_i64_state* st = s;
+    if (st->cnt <= 1) return NULL_F64;
+    return ray_f64_fin(var_i64_varpop(st) * (double)st->cnt / ((double)st->cnt - 1.0));
+}
+AGG_SCALAR_FINAL(fin_var_i64, double, ray_f64, value != value)
+static double fin_stddev_pop_i64_result(const void* s) {
+    const var_i64_state* st = s;
+    if (st->cnt <= 0) return NULL_F64;
+    return ray_f64_fin(sqrt(var_i64_varpop(st)));
+}
+AGG_SCALAR_FINAL(fin_stddev_pop_i64, double, ray_f64, value != value)
+static double fin_stddev_i64_result(const void* s) {
+    const var_i64_state* st = s;
+    if (st->cnt <= 1) return NULL_F64;
+    return ray_f64_fin(sqrt(var_i64_varpop(st) * (double)st->cnt / ((double)st->cnt - 1.0)));
+}
+AGG_SCALAR_FINAL(fin_stddev_i64, double, ray_f64, value != value)
 static const agg_vtable_t VAR_I64 = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i64_update,
-    .merge = var_i64_merge, .finalize = fin_var_i64,
+    .merge = var_i64_merge, .finalize = fin_var_i64, .finalize_value = fin_var_i64_value,
 };
 static const agg_vtable_t VAR_POP_I64 = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i64_update,
-    .merge = var_i64_merge, .finalize = fin_var_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_var_pop_i64, .finalize_value = fin_var_pop_i64_value,
 };
 static const agg_vtable_t STDDEV_I64 = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i64_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_i64, .finalize_value = fin_stddev_i64_value,
 };
 static const agg_vtable_t STDDEV_POP_I64 = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i64_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64, .finalize_value = fin_stddev_pop_i64_value,
 };
 
 /* ---- variance family, F64 (sumsq as double) -------------------------- */
@@ -314,45 +400,49 @@ static inline double var_f64_varpop(const var_f64_state* st) {
     double vp = st->sumsq / (double)st->cnt - mean*mean;
     return vp < 0 ? 0 : vp;
 }
-static ray_t* fin_var_pop_f64(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const var_f64_state* st = s;
-    if (st->cnt <= 0) return ray_typed_null(-RAY_F64);
-    return ray_f64(ray_f64_fin(var_f64_varpop(st)));
-}
-static ray_t* fin_var_f64(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const var_f64_state* st = s;
-    if (st->cnt <= 1) return ray_typed_null(-RAY_F64);
-    return ray_f64(ray_f64_fin(var_f64_varpop(st) * (double)st->cnt / ((double)st->cnt - 1.0)));
-}
-static ray_t* fin_stddev_pop_f64(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const var_f64_state* st = s;
-    if (st->cnt <= 0) return ray_typed_null(-RAY_F64);
-    return ray_f64(ray_f64_fin(sqrt(var_f64_varpop(st))));
-}
-static ray_t* fin_stddev_f64(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const var_f64_state* st = s;
-    if (st->cnt <= 1) return ray_typed_null(-RAY_F64);
-    return ray_f64(ray_f64_fin(sqrt(var_f64_varpop(st) * (double)st->cnt / ((double)st->cnt - 1.0))));
-}
+static double fin_var_pop_f64_result(const void* s) {
+    const var_f64_state* st = s;
+    if (st->cnt <= 0) return NULL_F64;
+    return ray_f64_fin(var_f64_varpop(st));
+}
+AGG_SCALAR_FINAL(fin_var_pop_f64, double, ray_f64, value != value)
+static double fin_var_f64_result(const void* s) {
+    const var_f64_state* st = s;
+    if (st->cnt <= 1) return NULL_F64;
+    return ray_f64_fin(var_f64_varpop(st) * (double)st->cnt / ((double)st->cnt - 1.0));
+}
+AGG_SCALAR_FINAL(fin_var_f64, double, ray_f64, value != value)
+static double fin_stddev_pop_f64_result(const void* s) {
+    const var_f64_state* st = s;
+    if (st->cnt <= 0) return NULL_F64;
+    return ray_f64_fin(sqrt(var_f64_varpop(st)));
+}
+AGG_SCALAR_FINAL(fin_stddev_pop_f64, double, ray_f64, value != value)
+static double fin_stddev_f64_result(const void* s) {
+    const var_f64_state* st = s;
+    if (st->cnt <= 1) return NULL_F64;
+    return ray_f64_fin(sqrt(var_f64_varpop(st) * (double)st->cnt / ((double)st->cnt - 1.0)));
+}
+AGG_SCALAR_FINAL(fin_stddev_f64, double, ray_f64, value != value)
 static const agg_vtable_t VAR_F64 = {
     .state_size = sizeof(var_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_f64_init, .update_batch = var_f64_update,
-    .merge = var_f64_merge, .finalize = fin_var_f64,
+    .merge = var_f64_merge, .finalize = fin_var_f64, .finalize_value = fin_var_f64_value,
 };
 static const agg_vtable_t VAR_POP_F64 = {
     .state_size = sizeof(var_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_f64_init, .update_batch = var_f64_update,
-    .merge = var_f64_merge, .finalize = fin_var_pop_f64,
+    .merge = var_f64_merge, .finalize = fin_var_pop_f64, .finalize_value = fin_var_pop_f64_value,
 };
 static const agg_vtable_t STDDEV_F64 = {
     .state_size = sizeof(var_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_f64_init, .update_batch = var_f64_update,
-    .merge = var_f64_merge, .finalize = fin_stddev_f64,
+    .merge = var_f64_merge, .finalize = fin_stddev_f64, .finalize_value = fin_stddev_f64_value,
 };
 static const agg_vtable_t STDDEV_POP_F64 = {
     .state_size = sizeof(var_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_f64_init, .update_batch = var_f64_update,
-    .merge = var_f64_merge, .finalize = fin_stddev_pop_f64,
+    .merge = var_f64_merge, .finalize = fin_stddev_pop_f64, .finalize_value = fin_stddev_pop_f64_value,
 };
 
 /* ---- pairwise numeric aggregates, F64 output (binary input: x,y) ------- */
@@ -391,8 +481,8 @@ static void pearson_merge(void* dd, const void* ss, acc_arena_t* a) {
     (void)a; pearson_state* d = dd; const pearson_state* s = ss;
     d->sx += s->sx; d->sy += s->sy; d->sxx += s->sxx; d->syy += s->syy; d->sxy += s->sxy; d->n += s->n;
 }
-static ray_t* pearson_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const pearson_state* st = s;
+static double pearson_final_result(const void* s) {
+    const pearson_state* st = s;
     double dn = (double)st->n;
     double num = dn*st->sxy - st->sx*st->sy,
            dx  = dn*st->sxx - st->sx*st->sx,
@@ -400,55 +490,60 @@ static ray_t* pearson_final(const void* s, acc_arena_t* a, int64_t param) {
     /* Single-null float model: undefined pearson (n<2 → 0/0, or a constant
      * side → sqrt(≤0)) yields NaN/Inf → canonicalize to NULL_F64.  agg_put_cell
      * sees the NaN sentinel and sets HAS_NULLS. */
-    return ray_f64(ray_f64_fin(num / sqrt(dx*dy)));
+    return ray_f64_fin(num / sqrt(dx*dy));
 }
-static ray_t* cov_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const pearson_state* st = s;
-    if (st->n <= 0) return ray_typed_null(-RAY_F64);
+AGG_SCALAR_FINAL(pearson_final, double, ray_f64, value != value)
+static double cov_final_result(const void* s) {
+    const pearson_state* st = s;
+    if (st->n <= 0) return NULL_F64;
     double dn = (double)st->n;
     double v = (st->sxy - (st->sx * st->sy) / dn) / dn;
-    return ray_f64(ray_f64_fin(v));
+    return ray_f64_fin(v);
 }
-static ray_t* scov_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const pearson_state* st = s;
-    if (st->n <= 1) return ray_typed_null(-RAY_F64);
+AGG_SCALAR_FINAL(cov_final, double, ray_f64, value != value)
+static double scov_final_result(const void* s) {
+    const pearson_state* st = s;
+    if (st->n <= 1) return NULL_F64;
     double dn = (double)st->n;
     double v = (st->sxy - (st->sx * st->sy) / dn) / (dn - 1.0);
-    return ray_f64(ray_f64_fin(v));
+    return ray_f64_fin(v);
 }
-static ray_t* wsum_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const pearson_state* st = s;
-    return ray_f64(ray_f64_fin(st->sxy));
+AGG_SCALAR_FINAL(scov_final, double, ray_f64, value != value)
+static double wsum_final_result(const void* s) {
+    const pearson_state* st = s;
+    return ray_f64_fin(st->sxy);
 }
-static ray_t* wavg_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const pearson_state* st = s;
-    if (st->n <= 0 || st->sx == 0.0) return ray_typed_null(-RAY_F64);
-    return ray_f64(ray_f64_fin(st->sxy / st->sx));
+AGG_SCALAR_FINAL(wsum_final, double, ray_f64, value != value)
+static double wavg_final_result(const void* s) {
+    const pearson_state* st = s;
+    if (st->n <= 0 || st->sx == 0.0) return NULL_F64;
+    return ray_f64_fin(st->sxy / st->sx);
 }
+AGG_SCALAR_FINAL(wavg_final, double, ray_f64, value != value)
 static const agg_vtable_t PEARSON_F64 = {
     .state_size = sizeof(pearson_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = pearson_init, .update_batch2 = pearson_update2,
-    .merge = pearson_merge, .finalize = pearson_final,
+    .merge = pearson_merge, .finalize = pearson_final, .finalize_value = pearson_final_value,
 };
 static const agg_vtable_t COV_F64 = {
     .state_size = sizeof(pearson_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = pearson_init, .update_batch2 = pearson_update2,
-    .merge = pearson_merge, .finalize = cov_final,
+    .merge = pearson_merge, .finalize = cov_final, .finalize_value = cov_final_value,
 };
 static const agg_vtable_t SCOV_F64 = {
     .state_size = sizeof(pearson_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = pearson_init, .update_batch2 = pearson_update2,
-    .merge = pearson_merge, .finalize = scov_final,
+    .merge = pearson_merge, .finalize = scov_final, .finalize_value = scov_final_value,
 };
 static const agg_vtable_t WSUM_F64 = {
     .state_size = sizeof(pearson_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = pearson_init, .update_batch2 = pearson_update2,
-    .merge = pearson_merge, .finalize = wsum_final,
+    .merge = pearson_merge, .finalize = wsum_final, .finalize_value = wsum_final_value,
 };
 static const agg_vtable_t WAVG_F64 = {
     .state_size = sizeof(pearson_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = pearson_init, .update_batch2 = pearson_update2,
-    .merge = pearson_merge, .finalize = wavg_final,
+    .merge = pearson_merge, .finalize = wavg_final, .finalize_value = wavg_final_value,
 };
 
 /* ---- all / any truth reductions, BOOL output -------------------------- */
@@ -481,23 +576,25 @@ static void truth_merge(void* dd, const void* ss, acc_arena_t* a) {
     (void)a; truth_state* d = dd; const truth_state* s = ss;
     d->n += s->n; d->truthy += s->truthy;
 }
-static ray_t* all_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const truth_state* st = s;
-    return ray_bool(st->truthy == st->n);
+static uint8_t all_final_result(const void* s) {
+    const truth_state* st = s;
+    return st->truthy == st->n;
 }
-static ray_t* any_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const truth_state* st = s;
-    return ray_bool(st->truthy > 0);
+AGG_SCALAR_FINAL(all_final, uint8_t, ray_bool, false)
+static uint8_t any_final_result(const void* s) {
+    const truth_state* st = s;
+    return st->truthy > 0;
 }
+AGG_SCALAR_FINAL(any_final, uint8_t, ray_bool, false)
 static const agg_vtable_t ALL_BOOL = {
     .state_size = sizeof(truth_state), .kind = ACC_STREAMING, .out_type = RAY_BOOL,
     .init = truth_init, .update_batch = truth_update,
-    .merge = truth_merge, .finalize = all_final,
+    .merge = truth_merge, .finalize = all_final, .finalize_value = all_final_value,
 };
 static const agg_vtable_t ANY_BOOL = {
     .state_size = sizeof(truth_state), .kind = ACC_STREAMING, .out_type = RAY_BOOL,
     .init = truth_init, .update_batch = truth_update,
-    .merge = truth_merge, .finalize = any_final,
+    .merge = truth_merge, .finalize = any_final, .finalize_value = any_final_value,
 };
 
 /* ---- median, F64 output (first ACC_BUFFERED: growable per-group buffer) ---- */
@@ -604,26 +701,27 @@ static void min_bool_native_update(void* base, size_t stride, const uint32_t* gi
                            int64_t n, acc_arena_t* a) {
     (void)a; const uint8_t* d = (const uint8_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] < st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static bool ext_bool_native_value(const void* s, void* dst) {
-    const ext_i64_state* st = s;
-    *(uint8_t*)dst = st->cnt ? (uint8_t)st->v : 0;
-    return !st->cnt;
+    const ext_i32_state* st = s;
+    *(uint8_t*)dst = st->seen ? (uint8_t)st->v : 0;
+    return !st->seen;
 }
 static ray_t* ext_bool_native_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const ext_i64_state* st = s;
-    return st->cnt ? ray_bool(st->v) : ray_typed_null(-RAY_BOOL);
+    (void)a; (void)param; const ext_i32_state* st = s;
+    return st->seen ? ray_bool(st->v) : ray_typed_null(-RAY_BOOL);
 }
 
 static const agg_vtable_t MIN_BOOL_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_BOOL,
-    .init = min_i64_init, .update_batch = min_bool_native_update,
-    .merge = min_i64_merge, .finalize = ext_bool_native_final, .finalize_value = ext_bool_native_value,
+    SHARED_UPDATE(min_bool_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_BOOL,
+    .init = min_i32_init, .update_batch = min_bool_native_update,
+    .merge = min_i32_merge, .finalize = ext_bool_native_final, .finalize_value = ext_bool_native_value,
 };
 
 static void max_bool_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -631,16 +729,17 @@ static void max_bool_native_update(void* base, size_t stride, const uint32_t* gi
                            int64_t n, acc_arena_t* a) {
     (void)a; const uint8_t* d = (const uint8_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] > st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static const agg_vtable_t MAX_BOOL_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_BOOL,
-    .init = max_i64_init, .update_batch = max_bool_native_update,
-    .merge = max_i64_merge, .finalize = ext_bool_native_final, .finalize_value = ext_bool_native_value,
+    SHARED_UPDATE(max_bool_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_BOOL,
+    .init = max_i32_init, .update_batch = max_bool_native_update,
+    .merge = max_i32_merge, .finalize = ext_bool_native_final, .finalize_value = ext_bool_native_value,
 };
 
 static void avg_bool_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -656,7 +755,7 @@ static void avg_bool_native_update(void* base, size_t stride, const uint32_t* gi
 static const agg_vtable_t AVG_BOOL_NATIVE = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_bool_native_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 static void var_bool_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -674,25 +773,25 @@ static void var_bool_native_update(void* base, size_t stride, const uint32_t* gi
 static const agg_vtable_t VAR_BOOL_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_bool_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_i64,
+    .merge = var_i64_merge, .finalize = fin_var_i64, .finalize_value = fin_var_i64_value,
 };
 
 static const agg_vtable_t VAR_POP_BOOL_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_bool_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_var_pop_i64, .finalize_value = fin_var_pop_i64_value,
 };
 
 static const agg_vtable_t STDDEV_BOOL_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_bool_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_i64, .finalize_value = fin_stddev_i64_value,
 };
 
 static const agg_vtable_t STDDEV_POP_BOOL_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_bool_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64, .finalize_value = fin_stddev_pop_i64_value,
 };
 
 static void sum_bool_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -709,7 +808,7 @@ static void sum_bool_native_update(void* base, size_t stride, const uint32_t* gi
 static const agg_vtable_t SUM_BOOL_NATIVE = {
     .state_size = sizeof(sum_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = sum_i64_init, .update_batch = sum_bool_native_update,
-    .merge = sum_i64_merge, .finalize = sum_i64_final,
+    .merge = sum_i64_merge, .finalize = sum_i64_final, .finalize_value = sum_i64_final_value,
 };
 
 static void min_u8_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -717,26 +816,27 @@ static void min_u8_native_update(void* base, size_t stride, const uint32_t* gids
                            int64_t n, acc_arena_t* a) {
     (void)a; const uint8_t* d = (const uint8_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] < st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static bool ext_u8_native_value(const void* s, void* dst) {
-    const ext_i64_state* st = s;
-    *(uint8_t*)dst = st->cnt ? (uint8_t)st->v : 0;
-    return !st->cnt;
+    const ext_i32_state* st = s;
+    *(uint8_t*)dst = st->seen ? (uint8_t)st->v : 0;
+    return !st->seen;
 }
 static ray_t* ext_u8_native_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const ext_i64_state* st = s;
-    return st->cnt ? ray_u8(st->v) : ray_typed_null(-RAY_U8);
+    (void)a; (void)param; const ext_i32_state* st = s;
+    return st->seen ? ray_u8(st->v) : ray_typed_null(-RAY_U8);
 }
 
 static const agg_vtable_t MIN_U8_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_U8,
-    .init = min_i64_init, .update_batch = min_u8_native_update,
-    .merge = min_i64_merge, .finalize = ext_u8_native_final, .finalize_value = ext_u8_native_value,
+    SHARED_UPDATE(min_u8_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_U8,
+    .init = min_i32_init, .update_batch = min_u8_native_update,
+    .merge = min_i32_merge, .finalize = ext_u8_native_final, .finalize_value = ext_u8_native_value,
 };
 
 static void max_u8_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -744,16 +844,17 @@ static void max_u8_native_update(void* base, size_t stride, const uint32_t* gids
                            int64_t n, acc_arena_t* a) {
     (void)a; const uint8_t* d = (const uint8_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] > st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static const agg_vtable_t MAX_U8_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_U8,
-    .init = max_i64_init, .update_batch = max_u8_native_update,
-    .merge = max_i64_merge, .finalize = ext_u8_native_final, .finalize_value = ext_u8_native_value,
+    SHARED_UPDATE(max_u8_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_U8,
+    .init = max_i32_init, .update_batch = max_u8_native_update,
+    .merge = max_i32_merge, .finalize = ext_u8_native_final, .finalize_value = ext_u8_native_value,
 };
 
 static void avg_u8_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -769,7 +870,7 @@ static void avg_u8_native_update(void* base, size_t stride, const uint32_t* gids
 static const agg_vtable_t AVG_U8_NATIVE = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_u8_native_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 static void var_u8_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -787,25 +888,25 @@ static void var_u8_native_update(void* base, size_t stride, const uint32_t* gids
 static const agg_vtable_t VAR_U8_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_u8_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_i64,
+    .merge = var_i64_merge, .finalize = fin_var_i64, .finalize_value = fin_var_i64_value,
 };
 
 static const agg_vtable_t VAR_POP_U8_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_u8_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_var_pop_i64, .finalize_value = fin_var_pop_i64_value,
 };
 
 static const agg_vtable_t STDDEV_U8_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_u8_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_i64, .finalize_value = fin_stddev_i64_value,
 };
 
 static const agg_vtable_t STDDEV_POP_U8_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_u8_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64, .finalize_value = fin_stddev_pop_i64_value,
 };
 
 static void sum_u8_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -822,7 +923,7 @@ static void sum_u8_native_update(void* base, size_t stride, const uint32_t* gids
 static const agg_vtable_t SUM_U8_NATIVE = {
     .state_size = sizeof(sum_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = sum_i64_init, .update_batch = sum_u8_native_update,
-    .merge = sum_i64_merge, .finalize = sum_i64_final,
+    .merge = sum_i64_merge, .finalize = sum_i64_final, .finalize_value = sum_i64_final_value,
 };
 
 static void min_i16_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -830,26 +931,27 @@ static void min_i16_native_update(void* base, size_t stride, const uint32_t* gid
                            int64_t n, acc_arena_t* a) {
     (void)a; const int16_t* d = (const int16_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] < st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static bool ext_i16_native_value(const void* s, void* dst) {
-    const ext_i64_state* st = s;
-    *(int16_t*)dst = st->cnt ? (int16_t)st->v : NULL_I16;
-    return !st->cnt;
+    const ext_i32_state* st = s;
+    *(int16_t*)dst = st->seen ? (int16_t)st->v : NULL_I16;
+    return !st->seen;
 }
 static ray_t* ext_i16_native_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const ext_i64_state* st = s;
-    return st->cnt ? ray_i16(st->v) : ray_typed_null(-RAY_I16);
+    (void)a; (void)param; const ext_i32_state* st = s;
+    return st->seen ? ray_i16(st->v) : ray_typed_null(-RAY_I16);
 }
 
 static const agg_vtable_t MIN_I16_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I16,
-    .init = min_i64_init, .update_batch = min_i16_native_update,
-    .merge = min_i64_merge, .finalize = ext_i16_native_final, .finalize_value = ext_i16_native_value,
+    SHARED_UPDATE(min_i16_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_I16,
+    .init = min_i32_init, .update_batch = min_i16_native_update,
+    .merge = min_i32_merge, .finalize = ext_i16_native_final, .finalize_value = ext_i16_native_value,
 };
 
 static void max_i16_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -857,16 +959,17 @@ static void max_i16_native_update(void* base, size_t stride, const uint32_t* gid
                            int64_t n, acc_arena_t* a) {
     (void)a; const int16_t* d = (const int16_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] > st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static const agg_vtable_t MAX_I16_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I16,
-    .init = max_i64_init, .update_batch = max_i16_native_update,
-    .merge = max_i64_merge, .finalize = ext_i16_native_final, .finalize_value = ext_i16_native_value,
+    SHARED_UPDATE(max_i16_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_I16,
+    .init = max_i32_init, .update_batch = max_i16_native_update,
+    .merge = max_i32_merge, .finalize = ext_i16_native_final, .finalize_value = ext_i16_native_value,
 };
 
 static void avg_i16_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -882,7 +985,7 @@ static void avg_i16_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t AVG_I16_NATIVE = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_i16_native_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 static void var_i16_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -900,25 +1003,25 @@ static void var_i16_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t VAR_I16_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i16_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_i64,
+    .merge = var_i64_merge, .finalize = fin_var_i64, .finalize_value = fin_var_i64_value,
 };
 
 static const agg_vtable_t VAR_POP_I16_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i16_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_var_pop_i64, .finalize_value = fin_var_pop_i64_value,
 };
 
 static const agg_vtable_t STDDEV_I16_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i16_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_i64, .finalize_value = fin_stddev_i64_value,
 };
 
 static const agg_vtable_t STDDEV_POP_I16_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i16_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64, .finalize_value = fin_stddev_pop_i64_value,
 };
 
 static void sum_i16_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -935,7 +1038,7 @@ static void sum_i16_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t SUM_I16_NATIVE = {
     .state_size = sizeof(sum_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = sum_i64_init, .update_batch = sum_i16_native_update,
-    .merge = sum_i64_merge, .finalize = sum_i64_final,
+    .merge = sum_i64_merge, .finalize = sum_i64_final, .finalize_value = sum_i64_final_value,
 };
 
 static void min_i32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -943,26 +1046,27 @@ static void min_i32_native_update(void* base, size_t stride, const uint32_t* gid
                            int64_t n, acc_arena_t* a) {
     (void)a; const int32_t* d = (const int32_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] < st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static bool ext_i32_native_value(const void* s, void* dst) {
-    const ext_i64_state* st = s;
-    *(int32_t*)dst = st->cnt ? (int32_t)st->v : NULL_I32;
-    return !st->cnt;
+    const ext_i32_state* st = s;
+    *(int32_t*)dst = st->seen ? (int32_t)st->v : NULL_I32;
+    return !st->seen;
 }
 static ray_t* ext_i32_native_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const ext_i64_state* st = s;
-    return st->cnt ? ray_i32(st->v) : ray_typed_null(-RAY_I32);
+    (void)a; (void)param; const ext_i32_state* st = s;
+    return st->seen ? ray_i32(st->v) : ray_typed_null(-RAY_I32);
 }
 
 static const agg_vtable_t MIN_I32_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I32,
-    .init = min_i64_init, .update_batch = min_i32_native_update,
-    .merge = min_i64_merge, .finalize = ext_i32_native_final, .finalize_value = ext_i32_native_value,
+    SHARED_UPDATE(min_i32_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_I32,
+    .init = min_i32_init, .update_batch = min_i32_native_update,
+    .merge = min_i32_merge, .finalize = ext_i32_native_final, .finalize_value = ext_i32_native_value,
 };
 
 static void max_i32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -970,16 +1074,17 @@ static void max_i32_native_update(void* base, size_t stride, const uint32_t* gid
                            int64_t n, acc_arena_t* a) {
     (void)a; const int32_t* d = (const int32_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] > st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static const agg_vtable_t MAX_I32_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I32,
-    .init = max_i64_init, .update_batch = max_i32_native_update,
-    .merge = max_i64_merge, .finalize = ext_i32_native_final, .finalize_value = ext_i32_native_value,
+    SHARED_UPDATE(max_i32_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_I32,
+    .init = max_i32_init, .update_batch = max_i32_native_update,
+    .merge = max_i32_merge, .finalize = ext_i32_native_final, .finalize_value = ext_i32_native_value,
 };
 
 static void avg_i32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -995,7 +1100,7 @@ static void avg_i32_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t AVG_I32_NATIVE = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_i32_native_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 static void var_i32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1013,25 +1118,25 @@ static void var_i32_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t VAR_I32_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i32_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_i64,
+    .merge = var_i64_merge, .finalize = fin_var_i64, .finalize_value = fin_var_i64_value,
 };
 
 static const agg_vtable_t VAR_POP_I32_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i32_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_var_pop_i64, .finalize_value = fin_var_pop_i64_value,
 };
 
 static const agg_vtable_t STDDEV_I32_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i32_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_i64, .finalize_value = fin_stddev_i64_value,
 };
 
 static const agg_vtable_t STDDEV_POP_I32_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_i32_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64, .finalize_value = fin_stddev_pop_i64_value,
 };
 
 static void sum_i32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1048,7 +1153,7 @@ static void sum_i32_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t SUM_I32_NATIVE = {
     .state_size = sizeof(sum_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = sum_i64_init, .update_batch = sum_i32_native_update,
-    .merge = sum_i64_merge, .finalize = sum_i64_final,
+    .merge = sum_i64_merge, .finalize = sum_i64_final, .finalize_value = sum_i64_final_value,
 };
 
 static void avg_i64_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1064,7 +1169,7 @@ static void avg_i64_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t AVG_I64_NATIVE = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_i64_native_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 static void min_f32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1081,7 +1186,7 @@ static void min_f32_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t MIN_F32_NATIVE = {
     .state_size = sizeof(ext_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = min_f64_init, .update_batch = min_f32_native_update,
-    .merge = min_f64_merge, .finalize = ext_f64_final,
+    .merge = min_f64_merge, .finalize = ext_f64_final, .finalize_value = ext_f64_final_value,
 };
 
 static void max_f32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1098,7 +1203,7 @@ static void max_f32_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t MAX_F32_NATIVE = {
     .state_size = sizeof(ext_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = max_f64_init, .update_batch = max_f32_native_update,
-    .merge = max_f64_merge, .finalize = ext_f64_final,
+    .merge = max_f64_merge, .finalize = ext_f64_final, .finalize_value = ext_f64_final_value,
 };
 
 static void avg_f32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1114,7 +1219,7 @@ static void avg_f32_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t AVG_F32_NATIVE = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_f32_native_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 static void var_f32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1130,25 +1235,25 @@ static void var_f32_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t VAR_F32_NATIVE = {
     .state_size = sizeof(var_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_f64_init, .update_batch = var_f32_native_update,
-    .merge = var_f64_merge, .finalize = fin_var_f64,
+    .merge = var_f64_merge, .finalize = fin_var_f64, .finalize_value = fin_var_f64_value,
 };
 
 static const agg_vtable_t VAR_POP_F32_NATIVE = {
     .state_size = sizeof(var_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_f64_init, .update_batch = var_f32_native_update,
-    .merge = var_f64_merge, .finalize = fin_var_pop_f64,
+    .merge = var_f64_merge, .finalize = fin_var_pop_f64, .finalize_value = fin_var_pop_f64_value,
 };
 
 static const agg_vtable_t STDDEV_F32_NATIVE = {
     .state_size = sizeof(var_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_f64_init, .update_batch = var_f32_native_update,
-    .merge = var_f64_merge, .finalize = fin_stddev_f64,
+    .merge = var_f64_merge, .finalize = fin_stddev_f64, .finalize_value = fin_stddev_f64_value,
 };
 
 static const agg_vtable_t STDDEV_POP_F32_NATIVE = {
     .state_size = sizeof(var_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_f64_init, .update_batch = var_f32_native_update,
-    .merge = var_f64_merge, .finalize = fin_stddev_pop_f64,
+    .merge = var_f64_merge, .finalize = fin_stddev_pop_f64, .finalize_value = fin_stddev_pop_f64_value,
 };
 
 static void sum_f32_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1162,7 +1267,7 @@ static void sum_f32_native_update(void* base, size_t stride, const uint32_t* gid
 static const agg_vtable_t SUM_F32_NATIVE = {
     .state_size = sizeof(sum_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = sum_f64_init, .update_batch = sum_f32_native_update,
-    .merge = sum_f64_merge, .finalize = sum_f64_final,
+    .merge = sum_f64_merge, .finalize = sum_f64_final, .finalize_value = sum_f64_final_value,
 };
 
 static void min_date_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1170,26 +1275,27 @@ static void min_date_native_update(void* base, size_t stride, const uint32_t* gi
                            int64_t n, acc_arena_t* a) {
     (void)a; const int32_t* d = (const int32_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] < st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static bool ext_date_native_value(const void* s, void* dst) {
-    const ext_i64_state* st = s;
-    *(int32_t*)dst = st->cnt ? (int32_t)st->v : NULL_I32;
-    return !st->cnt;
+    const ext_i32_state* st = s;
+    *(int32_t*)dst = st->seen ? (int32_t)st->v : NULL_I32;
+    return !st->seen;
 }
 static ray_t* ext_date_native_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const ext_i64_state* st = s;
-    return st->cnt ? ray_date(st->v) : ray_typed_null(-RAY_DATE);
+    (void)a; (void)param; const ext_i32_state* st = s;
+    return st->seen ? ray_date(st->v) : ray_typed_null(-RAY_DATE);
 }
 
 static const agg_vtable_t MIN_DATE_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_DATE,
-    .init = min_i64_init, .update_batch = min_date_native_update,
-    .merge = min_i64_merge, .finalize = ext_date_native_final, .finalize_value = ext_date_native_value,
+    SHARED_UPDATE(min_date_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_DATE,
+    .init = min_i32_init, .update_batch = min_date_native_update,
+    .merge = min_i32_merge, .finalize = ext_date_native_final, .finalize_value = ext_date_native_value,
 };
 
 static void max_date_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1197,16 +1303,17 @@ static void max_date_native_update(void* base, size_t stride, const uint32_t* gi
                            int64_t n, acc_arena_t* a) {
     (void)a; const int32_t* d = (const int32_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] > st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static const agg_vtable_t MAX_DATE_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_DATE,
-    .init = max_i64_init, .update_batch = max_date_native_update,
-    .merge = max_i64_merge, .finalize = ext_date_native_final, .finalize_value = ext_date_native_value,
+    SHARED_UPDATE(max_date_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_DATE,
+    .init = max_i32_init, .update_batch = max_date_native_update,
+    .merge = max_i32_merge, .finalize = ext_date_native_final, .finalize_value = ext_date_native_value,
 };
 
 static void avg_date_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1222,7 +1329,7 @@ static void avg_date_native_update(void* base, size_t stride, const uint32_t* gi
 static const agg_vtable_t AVG_DATE_NATIVE = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_date_native_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 static void var_date_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1240,25 +1347,25 @@ static void var_date_native_update(void* base, size_t stride, const uint32_t* gi
 static const agg_vtable_t VAR_DATE_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_date_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_i64,
+    .merge = var_i64_merge, .finalize = fin_var_i64, .finalize_value = fin_var_i64_value,
 };
 
 static const agg_vtable_t VAR_POP_DATE_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_date_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_var_pop_i64, .finalize_value = fin_var_pop_i64_value,
 };
 
 static const agg_vtable_t STDDEV_DATE_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_date_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_i64, .finalize_value = fin_stddev_i64_value,
 };
 
 static const agg_vtable_t STDDEV_POP_DATE_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_date_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64, .finalize_value = fin_stddev_pop_i64_value,
 };
 
 static void min_time_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1266,26 +1373,27 @@ static void min_time_native_update(void* base, size_t stride, const uint32_t* gi
                            int64_t n, acc_arena_t* a) {
     (void)a; const int32_t* d = (const int32_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] < st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static bool ext_time_native_value(const void* s, void* dst) {
-    const ext_i64_state* st = s;
-    *(int32_t*)dst = st->cnt ? (int32_t)st->v : NULL_I32;
-    return !st->cnt;
+    const ext_i32_state* st = s;
+    *(int32_t*)dst = st->seen ? (int32_t)st->v : NULL_I32;
+    return !st->seen;
 }
 static ray_t* ext_time_native_final(const void* s, acc_arena_t* a, int64_t param) {
-    (void)a; (void)param; const ext_i64_state* st = s;
-    return st->cnt ? ray_time(st->v) : ray_typed_null(-RAY_TIME);
+    (void)a; (void)param; const ext_i32_state* st = s;
+    return st->seen ? ray_time(st->v) : ray_typed_null(-RAY_TIME);
 }
 
 static const agg_vtable_t MIN_TIME_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_TIME,
-    .init = min_i64_init, .update_batch = min_time_native_update,
-    .merge = min_i64_merge, .finalize = ext_time_native_final, .finalize_value = ext_time_native_value,
+    SHARED_UPDATE(min_time_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_TIME,
+    .init = min_i32_init, .update_batch = min_time_native_update,
+    .merge = min_i32_merge, .finalize = ext_time_native_final, .finalize_value = ext_time_native_value,
 };
 
 static void max_time_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1293,16 +1401,17 @@ static void max_time_native_update(void* base, size_t stride, const uint32_t* gi
                            int64_t n, acc_arena_t* a) {
     (void)a; const int32_t* d = (const int32_t*)vals;
     AGG_UPDATE_LOOP(valid, n, {
-        ext_i64_state* st = (ext_i64_state*)((char*)base + (size_t)gids[i]*stride);
+        ext_i32_state* st = (ext_i32_state*)((char*)base + (size_t)gids[i]*stride);
         if (d[i] > st->v) st->v = d[i];
-        st->cnt++;
+        st->seen = 1;
     });
 }
 
 static const agg_vtable_t MAX_TIME_NATIVE = {
-    .state_size = sizeof(ext_i64_state), .kind = ACC_STREAMING, .out_type = RAY_TIME,
-    .init = max_i64_init, .update_batch = max_time_native_update,
-    .merge = max_i64_merge, .finalize = ext_time_native_final, .finalize_value = ext_time_native_value,
+    SHARED_UPDATE(max_time_shared)
+    .state_size = sizeof(ext_i32_state), .kind = ACC_STREAMING, .out_type = RAY_TIME,
+    .init = max_i32_init, .update_batch = max_time_native_update,
+    .merge = max_i32_merge, .finalize = ext_time_native_final, .finalize_value = ext_time_native_value,
 };
 
 static void avg_time_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1318,7 +1427,7 @@ static void avg_time_native_update(void* base, size_t stride, const uint32_t* gi
 static const agg_vtable_t AVG_TIME_NATIVE = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_time_native_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 static void var_time_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1336,25 +1445,25 @@ static void var_time_native_update(void* base, size_t stride, const uint32_t* gi
 static const agg_vtable_t VAR_TIME_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_time_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_i64,
+    .merge = var_i64_merge, .finalize = fin_var_i64, .finalize_value = fin_var_i64_value,
 };
 
 static const agg_vtable_t VAR_POP_TIME_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_time_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_var_pop_i64, .finalize_value = fin_var_pop_i64_value,
 };
 
 static const agg_vtable_t STDDEV_TIME_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_time_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_i64, .finalize_value = fin_stddev_i64_value,
 };
 
 static const agg_vtable_t STDDEV_POP_TIME_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_time_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64, .finalize_value = fin_stddev_pop_i64_value,
 };
 
 static void sum_time_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1368,14 +1477,15 @@ static void sum_time_native_update(void* base, size_t stride, const uint32_t* gi
     });
 }
 
-static ray_t* sum_time_native_final(const void* s, acc_arena_t* a, int64_t p) {
-    (void)a; (void)p; return ray_time(((const sum_i64_state*)s)->sum);
+static int64_t sum_time_native_final_result(const void* s) {
+    return ((const sum_i64_state*)s)->sum;
 }
+AGG_SCALAR_FINAL(sum_time_native_final, int32_t, ray_time, value == NULL_I32)
 
 static const agg_vtable_t SUM_TIME_NATIVE = {
     .state_size = sizeof(sum_i64_state), .kind = ACC_STREAMING, .out_type = RAY_TIME,
     .init = sum_i64_init, .update_batch = sum_time_native_update,
-    .merge = sum_i64_merge, .finalize = sum_time_native_final,
+    .merge = sum_i64_merge, .finalize = sum_time_native_final, .finalize_value = sum_time_native_final_value,
 };
 
 static void min_timestamp_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1435,7 +1545,7 @@ static void avg_timestamp_native_update(void* base, size_t stride, const uint32_
 static const agg_vtable_t AVG_TIMESTAMP_NATIVE = {
     .state_size = sizeof(avg_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = avg_f64_init, .update_batch = avg_timestamp_native_update,
-    .merge = avg_f64_merge, .finalize = avg_f64_final,
+    .merge = avg_f64_merge, .finalize = avg_f64_final, .finalize_value = avg_f64_final_value,
 };
 
 static void var_timestamp_native_update(void* base, size_t stride, const uint32_t* gids,
@@ -1453,37 +1563,39 @@ static void var_timestamp_native_update(void* base, size_t stride, const uint32_
 static const agg_vtable_t VAR_TIMESTAMP_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_timestamp_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_i64,
+    .merge = var_i64_merge, .finalize = fin_var_i64, .finalize_value = fin_var_i64_value,
 };
 
 static const agg_vtable_t VAR_POP_TIMESTAMP_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_timestamp_native_update,
-    .merge = var_i64_merge, .finalize = fin_var_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_var_pop_i64, .finalize_value = fin_var_pop_i64_value,
 };
 
 static const agg_vtable_t STDDEV_TIMESTAMP_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_timestamp_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_i64, .finalize_value = fin_stddev_i64_value,
 };
 
 static const agg_vtable_t STDDEV_POP_TIMESTAMP_NATIVE = {
     .state_size = sizeof(var_i64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = var_i64_init, .update_batch = var_timestamp_native_update,
-    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64,
+    .merge = var_i64_merge, .finalize = fin_stddev_pop_i64, .finalize_value = fin_stddev_pop_i64_value,
 };
 
 typedef struct { int64_t sum, cnt; } prod_i64_state;
 typedef struct { double sum; int64_t cnt; } prod_f64_state;
-static ray_t* prod_i64_final(const void* s, acc_arena_t* a, int64_t p) {
-    (void)a; (void)p; const prod_i64_state* st = s;
-    return st->cnt ? ray_i64(st->sum) : ray_typed_null(-RAY_I64);
+static int64_t prod_i64_final_result(const void* s) {
+    const prod_i64_state* st = s;
+    return st->cnt ? st->sum : NULL_I64;
 }
-static ray_t* prod_f64_final(const void* s, acc_arena_t* a, int64_t p) {
-    (void)a; (void)p; const prod_f64_state* st = s;
-    return st->cnt ? ray_f64(ray_f64_fin(st->sum)) : ray_typed_null(-RAY_F64);
+AGG_SCALAR_FINAL(prod_i64_final, int64_t, ray_i64, value == NULL_I64)
+static double prod_f64_final_result(const void* s) {
+    const prod_f64_state* st = s;
+    return st->cnt ? ray_f64_fin(st->sum) : NULL_F64;
 }
+AGG_SCALAR_FINAL(prod_f64_final, double, ray_f64, value != value)
 static void prod_bool_init(void* s) { ((prod_i64_state*)s)->sum = 1; ((prod_i64_state*)s)->cnt = 0; }
 static void prod_bool_update(void* base, size_t stride, const uint32_t* gids,
         const void* vals, const ray_valid_t* valid, int64_t n, acc_arena_t* a) {
@@ -1502,7 +1614,7 @@ static void prod_bool_merge(void* d, const void* s, acc_arena_t* a) {
 static const agg_vtable_t PROD_BOOL = {
     .state_size = sizeof(prod_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = prod_bool_init, .update_batch = prod_bool_update,
-    .merge = prod_bool_merge, .finalize = prod_i64_final,
+    .merge = prod_bool_merge, .finalize = prod_i64_final, .finalize_value = prod_i64_final_value,
 };
 
 static void prod_u8_init(void* s) { ((prod_i64_state*)s)->sum = 1; ((prod_i64_state*)s)->cnt = 0; }
@@ -1523,7 +1635,7 @@ static void prod_u8_merge(void* d, const void* s, acc_arena_t* a) {
 static const agg_vtable_t PROD_U8 = {
     .state_size = sizeof(prod_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = prod_u8_init, .update_batch = prod_u8_update,
-    .merge = prod_u8_merge, .finalize = prod_i64_final,
+    .merge = prod_u8_merge, .finalize = prod_i64_final, .finalize_value = prod_i64_final_value,
 };
 
 static void prod_i16_init(void* s) { ((prod_i64_state*)s)->sum = 1; ((prod_i64_state*)s)->cnt = 0; }
@@ -1544,7 +1656,7 @@ static void prod_i16_merge(void* d, const void* s, acc_arena_t* a) {
 static const agg_vtable_t PROD_I16 = {
     .state_size = sizeof(prod_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = prod_i16_init, .update_batch = prod_i16_update,
-    .merge = prod_i16_merge, .finalize = prod_i64_final,
+    .merge = prod_i16_merge, .finalize = prod_i64_final, .finalize_value = prod_i64_final_value,
 };
 
 static void prod_i32_init(void* s) { ((prod_i64_state*)s)->sum = 1; ((prod_i64_state*)s)->cnt = 0; }
@@ -1565,7 +1677,7 @@ static void prod_i32_merge(void* d, const void* s, acc_arena_t* a) {
 static const agg_vtable_t PROD_I32 = {
     .state_size = sizeof(prod_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = prod_i32_init, .update_batch = prod_i32_update,
-    .merge = prod_i32_merge, .finalize = prod_i64_final,
+    .merge = prod_i32_merge, .finalize = prod_i64_final, .finalize_value = prod_i64_final_value,
 };
 
 static void prod_i64_init(void* s) { ((prod_i64_state*)s)->sum = 1; ((prod_i64_state*)s)->cnt = 0; }
@@ -1586,7 +1698,7 @@ static void prod_i64_merge(void* d, const void* s, acc_arena_t* a) {
 static const agg_vtable_t PROD_I64 = {
     .state_size = sizeof(prod_i64_state), .kind = ACC_STREAMING, .out_type = RAY_I64,
     .init = prod_i64_init, .update_batch = prod_i64_update,
-    .merge = prod_i64_merge, .finalize = prod_i64_final,
+    .merge = prod_i64_merge, .finalize = prod_i64_final, .finalize_value = prod_i64_final_value,
 };
 
 static void prod_f32_init(void* s) { ((prod_f64_state*)s)->sum = 1; ((prod_f64_state*)s)->cnt = 0; }
@@ -1607,7 +1719,7 @@ static void prod_f32_merge(void* d, const void* s, acc_arena_t* a) {
 static const agg_vtable_t PROD_F32 = {
     .state_size = sizeof(prod_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = prod_f32_init, .update_batch = prod_f32_update,
-    .merge = prod_f32_merge, .finalize = prod_f64_final,
+    .merge = prod_f32_merge, .finalize = prod_f64_final, .finalize_value = prod_f64_final_value,
 };
 
 static void prod_f64_init(void* s) { ((prod_f64_state*)s)->sum = 1; ((prod_f64_state*)s)->cnt = 0; }
@@ -1628,7 +1740,7 @@ static void prod_f64_merge(void* d, const void* s, acc_arena_t* a) {
 static const agg_vtable_t PROD_F64 = {
     .state_size = sizeof(prod_f64_state), .kind = ACC_STREAMING, .out_type = RAY_F64,
     .init = prod_f64_init, .update_batch = prod_f64_update,
-    .merge = prod_f64_merge, .finalize = prod_f64_final,
+    .merge = prod_f64_merge, .finalize = prod_f64_final, .finalize_value = prod_f64_final_value,
 };
 
 const agg_vtable_t* agg_resolve(uint16_t agg_kind, int8_t in_type) {
diff --git a/src/ops/builtins.c b/src/ops/builtins.c
index 848d62dd..f4e85a57 100644
--- a/src/ops/builtins.c
+++ b/src/ops/builtins.c
@@ -2771,6 +2771,8 @@ ray_t* ray_group_indices_fn(ray_t* x) {
     if (!ray_is_vec(x) && x->type != RAY_LIST)
         return ray_error("type", "group: argument must be a vector or list, got %s", ray_type_name(x->type));
     int64_t n = x->len;
+    ray_t* parallel = agg_group_indices(x);
+    if (parallel) return parallel;
     if (n == 0) {
         ray_t* keys = ray_list_new(0);
         if (RAY_IS_ERR(keys)) return keys;
diff --git a/src/ops/cdfuse.c b/src/ops/cdfuse.c
index 38be27f2..db90762e 100644
--- a/src/ops/cdfuse.c
+++ b/src/ops/cdfuse.c
@@ -21,9 +21,9 @@
  *   SOFTWARE.
  */
 
-/* Fused grouped count-distinct (spec Part B).  Single pass over rows:
- * phase 1 scatters compact [pairhash][k][v][row] records into per-(worker,
- * partition) buffers; phase 2 walks each partition once with two
+/* Fused grouped count-distinct (spec Part B). A histogram sizes one payload;
+ * phase 1 scatters compact [pairhash][k][v][row] records into disjoint source/
+ * partition slices; phase 2 walks each partition once with two
  * partition-local open-addressing tables — a (k,v) dedupe table and a k
  * table — producing PARTIAL per-key (distinct count, first_row) laid out in
  * key-hash buckets; phase 3 dispatches one task per bucket to merge those
@@ -49,6 +49,7 @@
 #include <string.h>
 #include "rayforce.h"
 #include "core/pool.h"
+#include "core/profile.h"
 #include "mem/heap.h"      /* ray_heap_anon_watermark */
 #include "ops/internal.h"  /* scratch_*, read_col_i64 */
 #include "ops/hash.h"      /* ray_hash_i64 */
@@ -79,7 +80,7 @@ static inline uint64_t cdf_fmix64(uint64_t h) {
     return h;
 }
 
-/* Growable per-(worker, partition) record buffer. */
+/* A disjoint source/partition slice of one query-owned record payload. */
 typedef struct {
     char* buf;
     uint32_t n, cap;
@@ -94,19 +95,6 @@ typedef struct {
  * ray_pool_dispatch_n never needs to grow its ring). */
 #define CDF_MAX_PARTS 1024u
 
-/* Reserve room for one more record; returns dest ptr or NULL on OOM. */
-static char* cdf_reserve(cdf_buf_t* b, uint32_t prime) {
-    if (b->n == b->cap) {
-        if (b->cap > UINT32_MAX / 2) return NULL;
-        uint32_t nc = b->cap ? b->cap * 2 : (prime ? prime : 64);
-        char* nb = (char*)ray_realloc_raw(b->buf, (size_t)nc * CDF_REC);
-        if (!nb) return NULL;
-        b->buf = nb;
-        b->cap = nc;
-    }
-    return b->buf + (size_t)b->n++ * CDF_REC;
-}
-
 /* ══════════════════════════════════════════
  * Phase 1 — scatter
  * ══════════════════════════════════════════ */
@@ -120,13 +108,11 @@ typedef struct {
     uint8_t vattrs;
     uint32_t n_parts, nw;
     cdf_buf_t* bufs; /* [nw * n_parts] */
-    uint32_t prime;  /* first-allocation capacity per buf */
+    int64_t nrows;
+    bool dedup;
     _Atomic(int) oom;
-    /* Rows actually scattered.  ray_pool_dispatch clamps its task count to
-     * the ring capacity but RECOMPUTES the grain, so no row is dropped by
-     * clamping — however a cancelled pool (pool->cancelled) skips claimed
-     * tasks outright.  Comparing this against nrows turns any such silent
-     * row loss into a NULL decline instead of a short answer. */
+    /* Rows completed in each pass. Logical source tasks are bounded by the
+     * pool ring; cancellation must decline rather than return a short answer. */
     _Atomic(int64_t) rows_done;
 } cdf_p1_ctx_t;
 
@@ -145,35 +131,76 @@ static int64_t cdf_read(const void* data, int64_t r, int8_t type, uint8_t attrs)
     }
     return read_col_i64(data, r, type, attrs);
 }
-static void cdf_p1_fn(void* vctx, uint32_t wid, int64_t start, int64_t end) {
-    cdf_p1_ctx_t* c = (cdf_p1_ctx_t*)vctx;
-    if (atomic_load_explicit(&c->oom, memory_order_relaxed)) return;
-    cdf_buf_t* my = &c->bufs[(size_t)(wid % c->nw) * c->n_parts];
-    for (int64_t r = start; r < end; r++) {
-        int64_t k = cdf_read(c->kdata, r, c->ktype, c->kattrs);
-        int64_t v = cdf_read(c->vdata, r, c->vtype, c->vattrs);
-        /* PAIR hash: uniform even when one key owns most of the table.
-         * The odd-multiplier on the k side is LOAD-BEARING, not decoration: a
-         * bare `hash(k) ^ hash(v)` cancels to 0 for every row where k == v, so
-         * a `(count (distinct k)) by: k` — or any strongly correlated column
-         * pair — would pile every row into partition 0 at dedupe slot 0 and run
-         * one giant serial probe cluster (measured: 2m42s on 20M rows vs 0.09s
-         * uncorrelated).  Multiplying one side by the golden-ratio constant
-         * makes the combine asymmetric, so k == v hashes like any other pair. */
-        uint64_t h = cdf_fmix64(ray_hash_i64(k) * 0x9E3779B97F4A7C15ULL ^
-                                ray_hash_i64(v));
-        uint32_t p = (uint32_t)(h & (c->n_parts - 1));
-        char* rec = cdf_reserve(&my[p], c->prime);
-        if (!rec) {
-            atomic_store_explicit(&c->oom, 1, memory_order_relaxed);
-            return;
+/* Keep the pair hash asymmetric: hash(k)^hash(v) collapses correlated
+ * k==v inputs into one partition. Both passes use the same exact transform. */
+static inline uint64_t cdf_pair_hash(int64_t key, int64_t value) {
+    return cdf_fmix64(ray_hash_i64(key) * 0x9E3779B97F4A7C15ULL ^ ray_hash_i64(value));
+}
+/* Bounded, exact source-local preaggregation. A collision only forgets an
+ * earlier pair; the partition deduper still sees and reconciles extra copies.
+ * Nothing persists across source tasks or queries. */
+typedef struct { int64_t key, value; bool used; } cdf_recent_t;
+static bool cdf_repeat(cdf_recent_t* recent, uint64_t hash, int64_t key, int64_t value) {
+    cdf_recent_t* entry = &recent[hash & 63];
+    if (entry->used && entry->key == key && entry->value == value) return true;
+    entry->key = key; entry->value = value; entry->used = true;
+    return false;
+}
+static bool cdf_sample_repetition(const cdf_p1_ctx_t* c) {
+    if (c->nrows < 1024) return false;
+    cdf_recent_t recent[64] = {{0}};
+    int repeats = 0;
+    int64_t step = c->nrows / 1024;
+    for (int i = 0; i < 1024; i++) {
+        int64_t row = i * step + ray_hash_i64(i) % step;
+        int64_t key = cdf_read(c->kdata, row, c->ktype, c->kattrs);
+        int64_t value = cdf_read(c->vdata, row, c->vtype, c->vattrs);
+        repeats += cdf_repeat(recent, cdf_pair_hash(key, value), key, value);
+    }
+    return repeats >= 128;
+}
+static void cdf_p1_hist(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; cdf_p1_ctx_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        cdf_buf_t* my = c->bufs + (size_t)task * c->n_parts;
+        cdf_recent_t recent[64];
+        if (c->dedup) memset(recent, 0, sizeof(recent));
+        int64_t begin = c->nrows / c->nw * task;
+        int64_t limit = task + 1 == c->nw ? c->nrows : c->nrows / c->nw * (task + 1);
+        for (int64_t r = begin; r < limit; r++) {
+            int64_t k = cdf_read(c->kdata, r, c->ktype, c->kattrs);
+            int64_t v = cdf_read(c->vdata, r, c->vtype, c->vattrs);
+            uint64_t hash = cdf_pair_hash(k, v);
+            if (c->dedup && cdf_repeat(recent, hash, k, v)) continue;
+            uint32_t part = hash & (c->n_parts - 1);
+            if (my[part].cap == UINT32_MAX) { atomic_store(&c->oom, 1); return; }
+            my[part].cap++;
+        }
+        atomic_fetch_add_explicit(&c->rows_done, limit - begin, memory_order_relaxed);
+    }
+}
+static void cdf_p1_fn(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; cdf_p1_ctx_t* c = raw;
+    for (int64_t task = start; task < end; task++) {
+        cdf_buf_t* my = c->bufs + (size_t)task * c->n_parts;
+        cdf_recent_t recent[64];
+        if (c->dedup) memset(recent, 0, sizeof(recent));
+        int64_t begin = c->nrows / c->nw * task;
+        int64_t limit = task + 1 == c->nw ? c->nrows : c->nrows / c->nw * (task + 1);
+        for (int64_t r = begin; r < limit; r++) {
+            int64_t k = cdf_read(c->kdata, r, c->ktype, c->kattrs);
+            int64_t v = cdf_read(c->vdata, r, c->vtype, c->vattrs);
+            uint64_t hash = cdf_pair_hash(k, v);
+            if (c->dedup && cdf_repeat(recent, hash, k, v)) continue;
+            uint32_t part = hash & (c->n_parts - 1);
+            char* record = my[part].buf + (size_t)my[part].n++ * CDF_REC;
+            ((uint64_t*)record)[0] = hash;
+            ((int64_t*)record)[1] = k;
+            ((int64_t*)record)[2] = v;
+            ((int64_t*)record)[3] = r;
         }
-        ((uint64_t*)rec)[0] = h;
-        ((int64_t*)rec)[1] = k;
-        ((int64_t*)rec)[2] = v;
-        ((int64_t*)rec)[3] = r;
+        atomic_fetch_add_explicit(&c->rows_done, limit - begin, memory_order_relaxed);
     }
-    atomic_fetch_add_explicit(&c->rows_done, end - start, memory_order_relaxed);
 }
 
 /* ══════════════════════════════════════════
@@ -495,6 +522,22 @@ static int cdf_grp_cmp(const void* a, const void* b) {
     return x < y ? -1 : (x > y ? 1 : 0);
 }
 
+typedef struct {
+    const cdf_grp_t* groups;
+    const uint64_t* order;
+    uint64_t mask;
+    int64_t* keys;
+    int64_t* counts;
+    int64_t* firsts;
+} cdf_emit_t;
+static void cdf_emit(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; cdf_emit_t* c = raw;
+    for (int64_t i = start; i < end; i++) {
+        const cdf_grp_t* group = &c->groups[c->order ? c->order[i] & c->mask : (uint64_t)i];
+        c->keys[i] = group->key; c->counts[i] = group->cnt; c->firsts[i] = group->first;
+    }
+}
+
 /* Same sqrt-style sizing as agg_radix_part_count: at least one partition per
  * worker, and enough partitions that each holds ~sqrt(nrows) records — capped
  * at CDF_MAX_PARTS to bound phase 3's merge input. */
@@ -513,11 +556,10 @@ static int cdf_type_ok(int8_t t) {
         t == RAY_TIME || t == RAY_TIMESTAMP || t == RAY_F32 || t == RAY_F64 || RAY_IS_SYM(t);
 }
 
-/* Free every phase-1/2 buffer; used by both the fallback and success paths. */
-static void cdf_free_all(cdf_buf_t* bufs, size_t nbuf, cdf_part_t* parts,
+/* Free the shared payload and phase-2 outputs on fallback and success. */
+static void cdf_free_all(cdf_buf_t* bufs, char* records, cdf_part_t* parts,
                          uint32_t n_parts) {
-    if (bufs)
-        for (size_t i = 0; i < nbuf; i++) ray_free_raw(bufs[i].buf);
+    ray_free_raw(records);
     ray_free_raw(bufs);
     if (parts)
         for (uint32_t p = 0; p < n_parts; p++) ray_free_raw(parts[p].g);
@@ -558,14 +600,17 @@ ray_t* ray_cd_fused(ray_t* key_col, ray_t* val_col, int64_t nrows) {
     if (wm > 0 && (double)nrows * CDF_BYTES_PER_ROW > (double)wm / 4.0)
         return NULL;
 
-    uint32_t nw = ray_pool_total_workers(pool);
-
-    uint32_t n_parts = cdf_part_count(nw, nrows);
+    if ((uint64_t)nrows > SIZE_MAX / CDF_REC) return NULL;
+    uint32_t workers = ray_pool_total_workers(pool);
+    uint32_t nw = workers * 4;
+    if (nw > RAY_POOL_INIT_TASKS) nw = RAY_POOL_INIT_TASKS;
+    uint32_t n_parts = cdf_part_count(workers, nrows);
+    char* records = NULL;
     size_t nbuf = (size_t)nw * n_parts;
     cdf_buf_t* bufs = (cdf_buf_t*)ray_calloc_raw(nbuf * sizeof(cdf_buf_t));
     cdf_part_t* parts = (cdf_part_t*)ray_calloc_raw((size_t)n_parts * sizeof(cdf_part_t));
     if (!bufs || !parts) {
-        cdf_free_all(bufs, nbuf, parts, n_parts);
+        cdf_free_all(bufs, records, parts, n_parts);
         return NULL;
     }
 
@@ -573,15 +618,32 @@ ray_t* ray_cd_fused(ray_t* key_col, ray_t* val_col, int64_t nrows) {
         .kdata = ray_data(key_col), .ktype = key_col->type, .kattrs = key_col->attrs,
         .vdata = ray_data(val_col), .vtype = val_col->type, .vattrs = val_col->attrs,
         .n_parts = n_parts, .nw = nw, .bufs = bufs,
-        /* Uniform-hash expectation with 25% slack; ≥8 so tiny buffers don't
-         * immediately re-double. */
-        .prime = (uint32_t)((uint64_t)nrows / ((uint64_t)nw * n_parts) * 5 / 4 + 8),
+        .nrows = nrows,
         .oom = 0, .rows_done = 0,
     };
-    ray_pool_dispatch(pool, cdf_p1_fn, &p1, nrows);
+    p1.dedup = cdf_sample_repetition(&p1);
+    if (p1.dedup) ray_profile_tick("count-distinct: source preaggregation");
+    ray_profile_tick("count-distinct: prepared");
+    ray_pool_dispatch_n(pool, cdf_p1_hist, &p1, nw);
+    if (atomic_load(&p1.oom) || atomic_load(&p1.rows_done) != nrows) {
+        cdf_free_all(bufs, records, parts, n_parts); return NULL;
+    }
+    int64_t record_count = 0;
+    for (size_t b = 0; b < nbuf; b++) record_count += bufs[b].cap;
+    records = ray_alloc_raw((size_t)record_count * CDF_REC);
+    if (!records) { cdf_free_all(bufs, records, parts, n_parts); return NULL; }
+    int64_t record_offset = 0;
+    for (size_t b = 0; b < nbuf; b++) {
+        bufs[b].buf = records + (size_t)record_offset * CDF_REC;
+        record_offset += bufs[b].cap;
+    }
+    atomic_store(&p1.rows_done, 0);
+    ray_profile_tick("count-distinct: histogram");
+    ray_pool_dispatch_n(pool, cdf_p1_fn, &p1, nw);
+    ray_profile_tick("count-distinct: scattered pairs");
     if (atomic_load_explicit(&p1.oom, memory_order_relaxed) ||
         atomic_load_explicit(&p1.rows_done, memory_order_relaxed) != nrows) {
-        cdf_free_all(bufs, nbuf, parts, n_parts);
+        cdf_free_all(bufs, records, parts, n_parts);
         return NULL; /* fallback, not an error */
     }
 
@@ -590,9 +652,10 @@ ray_t* ray_cd_fused(ray_t* key_col, ray_t* val_col, int64_t nrows) {
         .part_bits = (uint32_t)__builtin_ctz(n_parts), .oom = 0, .done = 0,
     };
     ray_pool_dispatch_n(pool, cdf_p2_fn, &p2, n_parts);
+    ray_profile_tick("count-distinct: deduplicated pairs");
     if (atomic_load_explicit(&p2.oom, memory_order_relaxed) ||
         atomic_load_explicit(&p2.done, memory_order_relaxed) != (int64_t)n_parts) {
-        cdf_free_all(bufs, nbuf, parts, n_parts);
+        cdf_free_all(bufs, records, parts, n_parts);
         return NULL;
     }
 
@@ -612,13 +675,14 @@ ray_t* ray_cd_fused(ray_t* key_col, ray_t* val_col, int64_t nrows) {
         .parts = parts, .n_parts = n_parts, .mg = mg, .oom = 0, .done = 0,
     };
     ray_pool_dispatch_n(pool, cdf_p3_fn, &p3, CDF_MERGE_PARTS);
+    ray_profile_tick("count-distinct: merged counts");
     if (atomic_load_explicit(&p3.oom, memory_order_relaxed) ||
         atomic_load_explicit(&p3.done, memory_order_relaxed) != CDF_MERGE_PARTS) {
         for (uint32_t m = 0; m < CDF_MERGE_PARTS; m++) ray_free_raw(mg[m].g);
-        cdf_free_all(bufs, nbuf, parts, n_parts);
+        cdf_free_all(bufs, records, parts, n_parts);
         return NULL;
     }
-    cdf_free_all(bufs, nbuf, parts, n_parts);
+    cdf_free_all(bufs, records, parts, n_parts);
 
     int64_t ng = 0;
     for (uint32_t m = 0; m < CDF_MERGE_PARTS; m++) ng += mg[m].n;
@@ -635,8 +699,32 @@ ray_t* ray_cd_fused(ray_t* key_col, ray_t* val_col, int64_t nrows) {
         mo += mg[m].n;
         ray_free_raw(mg[m].g);
     }
-    /* Global stable first-seen order. */
-    qsort(merged, (size_t)ng, sizeof(cdf_grp_t), cdf_grp_cmp);
+    /* Restore stable first-seen order with integer radix sorting. The packed
+     * row/order key replaces a serial comparison sort of 24-byte records.
+     * Free the unused sort buffer before allocating outputs: peak remains
+     * at most 56 bytes per group, within the existing row-based admission. */
+    uint64_t* order = NULL;
+    uint64_t mask = 0;
+    if (ng >= RADIX_SORT_THRESHOLD && nrows > 1) {
+        unsigned bits = 64 - __builtin_clzll((uint64_t)ng - 1);
+        unsigned row_bits = 64 - __builtin_clzll((uint64_t)nrows - 1);
+        if (bits + row_bits <= 64) {
+            uint64_t* a = ray_alloc_raw((size_t)ng * sizeof(uint64_t));
+            uint64_t* b = ray_alloc_raw((size_t)ng * sizeof(uint64_t));
+            if (a && b) {
+                mask = (UINT64_C(1) << bits) - 1;
+                for (int64_t i = 0; i < ng; i++) a[i] = ((uint64_t)merged[i].first << bits) | (uint64_t)i;
+                order = packed_radix_sort_run(pool, a, b, ng, (uint8_t)((bits + row_bits + 7) / 8));
+            }
+            if (a != order) ray_free_raw(a);
+            if (b != order) ray_free_raw(b);
+        }
+    }
+    if (atomic_load_explicit(&pool->cancelled, memory_order_relaxed)) {
+        ray_free_raw(order); ray_free_raw(merged); return NULL;
+    }
+    if (!order) qsort(merged, (size_t)ng, sizeof(cdf_grp_t), cdf_grp_cmp);
+    ray_profile_tick("count-distinct: ordered groups");
 
     ray_t* keys = ray_vec_new(RAY_I64, ng);
     ray_t* cnts = ray_vec_new(RAY_I64, ng);
@@ -645,19 +733,16 @@ ray_t* ray_cd_fused(ray_t* key_col, ray_t* val_col, int64_t nrows) {
     if (!keys || RAY_IS_ERR(keys) || !cnts || RAY_IS_ERR(cnts) ||
         !firsts || RAY_IS_ERR(firsts) || !tbl || RAY_IS_ERR(tbl)) {
         ray_release(keys); ray_release(cnts); ray_release(firsts); ray_release(tbl);
-        ray_free_raw(merged);
+        ray_free_raw(order); ray_free_raw(merged);
         return NULL;
     }
     keys->len = cnts->len = firsts->len = ng;
-    int64_t* kd = (int64_t*)ray_data(keys);
-    int64_t* cd = (int64_t*)ray_data(cnts);
-    int64_t* fd = (int64_t*)ray_data(firsts);
-    for (int64_t i = 0; i < ng; i++) {
-        kd[i] = merged[i].key;
-        cd[i] = merged[i].cnt;
-        fd[i] = merged[i].first;
+    cdf_emit_t emit = {merged, order, mask, ray_data(keys), ray_data(cnts), ray_data(firsts)};
+    ray_pool_dispatch(pool, cdf_emit, &emit, ng);
+    ray_free_raw(order); ray_free_raw(merged);
+    if (atomic_load_explicit(&pool->cancelled, memory_order_relaxed)) {
+        ray_release(keys); ray_release(cnts); ray_release(firsts); ray_release(tbl); return NULL;
     }
-    ray_free_raw(merged);
 
     tbl = ray_table_add_col(tbl, ray_sym_intern("k", 1), keys);
     tbl = ray_table_add_col(tbl, ray_sym_intern("u", 1), cnts);
diff --git a/src/ops/group.c b/src/ops/group.c
index 4675c2df..f6ae68a3 100644
--- a/src/ops/group.c
+++ b/src/ops/group.c
@@ -32,6 +32,7 @@
 #include "vec/str.h"        /* ray_str_t SSO hash/eq for wide STR group keys */
 #include "ops/idxop.h"      /* RAY_IDX_DICT: group on persisted string codes */
 #include "core/runtime.h"   /* __VM — per-thread group-key cardinality hint */
+#include "core/profile.h"
 
 #include <stdlib.h>
 
@@ -231,6 +232,7 @@ static int64_t wide_winner_row(ray_t* input, uint16_t op,
     /* first/last: positional — return the first/last non-null row, no compare. */
     if (op == OP_FIRST) {
         for (int64_t i = 0; i < scan_n; i++) {
+            if ((i & 65535) == 0 && ray_interrupted()) return -1;
             int64_t row = sel ? sel[i] : i;
             if (input->type == RAY_LIST) {
                 ray_t* e = ((ray_t**)ray_data(input))[row];
@@ -243,6 +245,7 @@ static int64_t wide_winner_row(ray_t* input, uint16_t op,
     }
     if (op == OP_LAST) {
         for (int64_t i = scan_n - 1; i >= 0; i--) {
+            if ((i & 65535) == 0 && ray_interrupted()) return -1;
             int64_t row = sel ? sel[i] : i;
             if (input->type == RAY_LIST) {
                 ray_t* e = ((ray_t**)ray_data(input))[row];
@@ -259,6 +262,7 @@ static int64_t wide_winner_row(ray_t* input, uint16_t op,
     if (input->type == RAY_GUID) {
         const uint8_t* d = (const uint8_t*)ray_data(input);
         for (int64_t i = 0; i < scan_n; i++) {
+            if ((i & 65535) == 0 && ray_interrupted()) return -1;
             int64_t row = sel ? sel[i] : i;
             if (has_nulls && ray_vec_is_null(input, row)) continue;
             if (best < 0) { best = row; continue; }
@@ -267,6 +271,7 @@ static int64_t wide_winner_row(ray_t* input, uint16_t op,
         }
     } else {  /* RAY_STR — lexicographic over the pooled bytes */
         for (int64_t i = 0; i < scan_n; i++) {
+            if ((i & 65535) == 0 && ray_interrupted()) return -1;
             int64_t row = sel ? sel[i] : i;
             if (has_nulls && ray_vec_is_null(input, row)) continue;
             if (best < 0) { best = row; continue; }
@@ -2121,6 +2126,8 @@ typedef struct {
     double*        scratch_pool; /* flat shared scratch, sized at sum(grp_cnt) */
     double*        out_data;     /* ray_data(out) */
     ray_t*         out;          /* for set_null */
+    _Atomic(bool)  any_null;
+    const uint8_t* handled;
 } med_par_ctx_t;
 
 typedef struct {
@@ -2141,10 +2148,11 @@ typedef struct {
 
 typedef struct {
     ray_t*         src;
-    ray_t*         out;
+    int64_t*       winners;
     const int64_t* idx_buf;
     const int64_t* offsets;
     const int64_t* grp_cnt;
+    int64_t        threshold;
     _Atomic(int)   oom;
     _Atomic(int)   cancel;
 } mode_par_ctx_t;
@@ -2181,11 +2189,121 @@ static inline bool med_is_null(const void* base, int8_t t, int64_t row) {
     }
 }
 
+/* Balance contiguous groups by input work, keeping large groups in separate
+ * tasks. The bounded wrapper also avoids dispatch_n's ring-growth failure path. */
+typedef struct {
+    ray_pool_fn fn;
+    void* context;
+    int64_t begin[RAY_POOL_INIT_TASKS];
+    int64_t end[RAY_POOL_INIT_TASKS];
+} group_work_t;
+static void group_work_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    group_work_t* c = raw;
+    for (int64_t t = start; t < end; t++) c->fn(c->context, wid, c->begin[t], c->end[t]);
+}
+void ray_group_dispatch(ray_pool_fn fn, void* context, const int64_t* counts, int64_t groups) {
+    ray_pool_t* pool = ray_pool_get();
+    int64_t work = 0;
+    for (int64_t g = 0; g < groups; g++) work += counts[g] + 1;
+    if (groups < 2 || !ray_pool_par_dispatch_ok(pool, work, 4096)) {
+        fn(context, 0, 0, groups); return;
+    }
+    uint32_t budget = ray_pool_total_workers(pool) * 8;
+    if (budget > RAY_POOL_INIT_TASKS / 2) budget = RAY_POOL_INIT_TASKS / 2;
+    int64_t grain = (work + budget - 1) / budget;
+    group_work_t tasks = {.fn = fn, .context = context};
+    uint32_t n = 0;
+    int64_t begin = 0, cost = 0;
+    for (int64_t g = 0; g < groups; g++) {
+        int64_t next = counts[g] + 1;
+        if (g > begin && cost + next > grain) {
+            assert(n < RAY_POOL_INIT_TASKS);
+            tasks.begin[n] = begin; tasks.end[n++] = g; begin = g; cost = 0;
+        }
+        cost += next;
+        if (cost >= grain) {
+            assert(n < RAY_POOL_INIT_TASKS);
+            tasks.begin[n] = begin; tasks.end[n++] = g + 1; begin = g + 1; cost = 0;
+        }
+    }
+    if (begin < groups) {
+        assert(n < RAY_POOL_INIT_TASKS);
+        tasks.begin[n] = begin; tasks.end[n++] = groups;
+    }
+    ray_pool_dispatch_n(pool, group_work_run, &tasks, n);
+}
+
+typedef struct {
+    ray_group_winner_fn fn;
+    void* context;
+    const int64_t* rows;
+    const int64_t* offsets;
+    const int64_t* counts;
+    int64_t* winners;
+    int64_t threshold;
+    struct { int64_t group, begin, count, winner; } partial[RAY_POOL_INIT_TASKS];
+} group_winners_t;
+static void group_winners_small(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; group_winners_t* c = raw;
+    for (int64_t g = start; g < end; g++) {
+        if (c->counts[g] >= c->threshold) continue;
+        c->winners[g] = c->fn(c->context, c->rows + c->offsets[g], c->counts[g]);
+    }
+}
+static void group_winners_partial(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; group_winners_t* c = raw;
+    for (int64_t t = start; t < end; t++)
+        c->partial[t].winner = c->fn(c->context, c->rows + c->partial[t].begin, c->partial[t].count);
+}
+void ray_group_winners(ray_group_winner_fn fn, void* context, const int64_t* rows,
+        const int64_t* offsets, const int64_t* counts, int64_t groups, int64_t* winners) {
+    ray_pool_t* pool = ray_pool_get();
+    int64_t total = 0;
+    for (int64_t g = 0; g < groups; g++) total += counts[g];
+    group_winners_t c = {.fn = fn, .context = context, .rows = rows,
+        .offsets = offsets, .counts = counts, .winners = winners, .threshold = INT64_MAX};
+    uint32_t tasks = 0;
+    if (ray_pool_par_dispatch_ok(pool, total, 262144)) {
+        uint32_t budget = ray_pool_total_workers(pool) * 4;
+        if (budget > RAY_POOL_INIT_TASKS / 2) budget = RAY_POOL_INIT_TASKS / 2;
+        int64_t grain = (total + budget - 1) / budget;
+        c.threshold = total / ray_pool_total_workers(pool);
+        if (c.threshold < 262144) c.threshold = 262144;
+        if (c.threshold < grain) c.threshold = grain;
+        for (int64_t g = 0; g < groups; g++) if (counts[g] >= c.threshold) {
+            winners[g] = -1;
+            for (int64_t off = 0; off < counts[g]; off += grain) {
+                assert(tasks < RAY_POOL_INIT_TASKS);
+                c.partial[tasks].group = g;
+                c.partial[tasks].begin = offsets[g] + off;
+                c.partial[tasks].count = counts[g] - off < grain ? counts[g] - off : grain;
+                c.partial[tasks++].winner = -1;
+            }
+        }
+    }
+    ray_group_dispatch(group_winners_small, &c, counts, groups);
+    if (tasks && !ray_interrupted() && !atomic_load(&pool->cancelled)) {
+        ray_pool_dispatch_n(pool, group_winners_partial, &c, tasks);
+        if (ray_interrupted() || atomic_load(&pool->cancelled)) return;
+        for (uint32_t t = 0; t < tasks; t++) {
+            int64_t g = c.partial[t].group, next = c.partial[t].winner;
+            if (next < 0) continue;
+            if (winners[g] < 0) winners[g] = next;
+            else {
+                int64_t pair[] = {winners[g], next};
+                winners[g] = fn(context, pair, 2);
+            }
+        }
+    }
+}
+
 static void med_per_group_fn(void* ctx_v, uint32_t worker_id,
                              int64_t start, int64_t end) {
     (void)worker_id;
     med_par_ctx_t* c = (med_par_ctx_t*)ctx_v;
+    bool any_null = false;
     for (int64_t g = start; g < end; g++) {
+        if (c->handled && c->handled[g]) continue;
         int64_t cnt = c->grp_cnt[g];
         int64_t off = c->offsets[g];
         double* slice = c->scratch_pool ? c->scratch_pool + off : NULL;
@@ -2203,13 +2321,158 @@ static void med_per_group_fn(void* ctx_v, uint32_t worker_id,
             }
         }
         if (actual == 0) {
-            par_set_null(c->out, g);
+            c->out_data[g] = NULL_F64;
+            any_null = true;
         } else {
             c->out_data[g] = c->use_quantile
                 ? ray_quantile_dbl_inplace(slice, actual, c->q)
                 : ray_median_dbl_inplace(slice, actual);
         }
     }
+    if (any_null) atomic_store_explicit(&c->any_null, true, memory_order_relaxed);
+}
+
+/* Exact selection within a dominant group. Count the pivot partitions in
+ * parallel and retain only the partition containing the requested adjacent
+ * ranks. The sample chooses work, never the answer. At most one extra double
+ * buffer is live; a depth bound falls back to the existing exact nth kernel. */
+typedef struct {
+    int64_t less, equal, count, offset;
+    double max_less, min_greater;
+} rank_task_t;
+typedef struct {
+    const med_par_ctx_t* source;
+    const int64_t* rows;
+    double* input;
+    double* output;
+    int64_t n;
+    uint32_t tasks;
+    double pivot;
+    bool keep_less;
+    rank_task_t task[RAY_POOL_INIT_TASKS];
+} rank_split_t;
+
+static void rank_gather_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; rank_split_t* c = raw;
+    const med_par_ctx_t* s = c->source;
+    for (int64_t t = start; t < end; t++) {
+        int64_t begin = c->n / c->tasks * t;
+        int64_t limit = t + 1 == c->tasks ? c->n : c->n / c->tasks * (t + 1);
+        int64_t count = 0;
+        for (int64_t i = begin; i < limit; i++) {
+            int64_t row = c->rows[i];
+            if (s->has_nulls && med_is_null(s->base, s->src_type, row)) continue;
+            c->input[begin + count++] = med_read_as_f64(s->base, s->src_type, row);
+        }
+        c->task[t].count = count;
+    }
+}
+static void rank_compact_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; rank_split_t* c = raw;
+    for (int64_t t = start; t < end; t++)
+        memcpy(c->output + c->task[t].offset, c->input + c->n / c->tasks * t,
+               (size_t)c->task[t].count * sizeof(double));
+}
+static void rank_count_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; rank_split_t* c = raw;
+    for (int64_t t = start; t < end; t++) {
+        int64_t begin = c->n / c->tasks * t;
+        int64_t limit = t + 1 == c->tasks ? c->n : c->n / c->tasks * (t + 1);
+        int64_t less = 0, equal = 0;
+        double max_less = -INFINITY, min_greater = INFINITY;
+        for (int64_t i = begin; i < limit; i++) {
+            double v = c->input[i];
+            if (v < c->pivot) { less++; if (v > max_less) max_less = v; }
+            else if (v > c->pivot) { if (v < min_greater) min_greater = v; }
+            else equal++;
+        }
+        c->task[t].less = less; c->task[t].equal = equal;
+        c->task[t].max_less = max_less; c->task[t].min_greater = min_greater;
+    }
+}
+static void rank_scatter_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; rank_split_t* c = raw;
+    for (int64_t t = start; t < end; t++) {
+        int64_t begin = c->n / c->tasks * t;
+        int64_t limit = t + 1 == c->tasks ? c->n : c->n / c->tasks * (t + 1);
+        int64_t at = c->task[t].offset;
+        for (int64_t i = begin; i < limit; i++) {
+            double v = c->input[i];
+            if (c->keep_less ? v < c->pivot : v > c->pivot) c->output[at++] = v;
+        }
+    }
+}
+static bool rank_large_group(med_par_ctx_t* source, int64_t group,
+        double* temporary, ray_pool_t* pool, double* answer) {
+    rank_split_t c = {.source = source, .rows = source->idx_buf + source->offsets[group],
+        .input = source->scratch_pool + source->offsets[group], .output = temporary,
+        .n = source->grp_cnt[group], .tasks = ray_pool_total_workers(pool) * 4};
+    if (c.tasks > RAY_POOL_INIT_TASKS) c.tasks = RAY_POOL_INIT_TASKS;
+    ray_pool_dispatch_n(pool, rank_gather_run, &c, c.tasks);
+    if (ray_interrupted() || atomic_load(&pool->cancelled)) return false;
+    int64_t valid = 0;
+    for (uint32_t t = 0; t < c.tasks; t++) {
+        c.task[t].offset = valid; valid += c.task[t].count;
+    }
+    if (!valid) { *answer = NULL_F64; atomic_store(&source->any_null, true); return true; }
+    if (valid != c.n) {
+        ray_pool_dispatch_n(pool, rank_compact_run, &c, c.tasks);
+        if (ray_interrupted() || atomic_load(&pool->cancelled)) return false;
+        double* swap = c.input; c.input = c.output; c.output = swap;
+    }
+    c.n = valid;
+    double fraction = 0;
+    int64_t lo, hi;
+    if (source->use_quantile) {
+        double position = source->q * (double)(valid - 1);
+        lo = (int64_t)position; fraction = position - (double)lo;
+        hi = fraction > 0 ? lo + 1 : lo;
+    } else { lo = (valid - 1) / 2; hi = valid / 2; }
+    double lower = 0, upper = 0;
+    bool found = false;
+    for (unsigned depth = 0; depth < 32 && c.n >= RAY_PARALLEL_THRESHOLD; depth++) {
+        double sample[33];
+        int64_t step = c.n / 33;
+        for (int i = 0; i < 33; i++)
+            sample[i] = c.input[i * step + ray_hash_i64(i + depth * 33) % step];
+        c.pivot = ray_median_dbl_inplace(sample, 33);
+        ray_pool_dispatch_n(pool, rank_count_run, &c, c.tasks);
+        if (ray_interrupted() || atomic_load(&pool->cancelled)) return false;
+        int64_t less = 0, equal = 0;
+        double max_less = -INFINITY, min_greater = INFINITY;
+        for (uint32_t t = 0; t < c.tasks; t++) {
+            less += c.task[t].less; equal += c.task[t].equal;
+            if (c.task[t].max_less > max_less) max_less = c.task[t].max_less;
+            if (c.task[t].min_greater < min_greater) min_greater = c.task[t].min_greater;
+        }
+        if (hi < less) c.keep_less = true;
+        else if (lo >= less + equal) c.keep_less = false;
+        else {
+            lower = lo < less ? max_less : c.pivot;
+            upper = hi >= less + equal ? min_greater : c.pivot;
+            found = true; break;
+        }
+        int64_t next = 0;
+        for (uint32_t t = 0; t < c.tasks; t++) {
+            c.task[t].offset = next;
+            int64_t begin = c.n / c.tasks * t;
+            int64_t limit = t + 1 == c.tasks ? c.n : c.n / c.tasks * (t + 1);
+            next += c.keep_less ? c.task[t].less : limit - begin - c.task[t].less - c.task[t].equal;
+        }
+        ray_pool_dispatch_n(pool, rank_scatter_run, &c, c.tasks);
+        if (ray_interrupted() || atomic_load(&pool->cancelled)) return false;
+        if (!c.keep_less) { lo -= less + equal; hi -= less + equal; }
+        c.n = next;
+        double* swap = c.input; c.input = c.output; c.output = swap;
+    }
+    if (!found) {
+        lower = ray_nth_dbl_inplace(c.input, c.n, lo);
+        upper = hi == lo ? lower : ray_nth_dbl_inplace(c.input, c.n, hi);
+    }
+    *answer = source->use_quantile
+        ? (fraction > 0 ? lower + fraction * (upper - lower) : lower)
+        : (valid % 2 ? lower : (lower + upper) / 2.0);
+    return true;
 }
 
 static double decode_agg_f64_param(int64_t bits) {
@@ -2263,20 +2526,34 @@ static ray_t* rank_per_group_buf(ray_t* src,
     };
 
     ray_pool_t* pool = ray_pool_get();
-    bool par = pool && n_groups >= 8 && total >= 4096;
-    if (par) {
-        /* dispatch_n's task ring is capped at MAX_RING_CAP (65536); when
-         * n_groups exceeds that, fall back to elements-based dispatch
-         * (auto-grows grain so every group is covered).  Under the cap,
-         * one task per group gives the best parallelism for small K
-         * per-group work like quickselect. */
-        if (n_groups < (1 << 16))
-            ray_pool_dispatch_n(pool, med_per_group_fn, &ctx, (uint32_t)n_groups);
-        else
-            ray_pool_dispatch(pool, med_per_group_fn, &ctx, n_groups);
-    } else {
-        med_per_group_fn(&ctx, 0, 0, n_groups);
+    /* Use the common parallel grain so a few medium groups can share the
+     * pool. The per-worker share still prevents splitting ordinary small groups. */
+    int64_t threshold = RAY_PARALLEL_THRESHOLD, largest = 0;
+    if (ray_pool_par_dispatch_ok(pool, total, threshold)) {
+        int64_t share = total / ray_pool_total_workers(pool);
+        if (share > threshold) threshold = share;
+        for (int64_t g = 0; g < n_groups; g++)
+            if (grp_cnt[g] >= threshold && grp_cnt[g] > largest) largest = grp_cnt[g];
+    }
+    double* temporary = largest ? ray_alloc_raw((size_t)largest * sizeof(double)) : NULL;
+    uint8_t* handled = temporary ? ray_calloc_raw((size_t)n_groups) : NULL;
+    if (handled) {
+        ctx.handled = handled;
+        for (int64_t g = 0; g < n_groups; g++) if (grp_cnt[g] >= threshold) {
+            if (!rank_large_group(&ctx, g, temporary, pool, &ctx.out_data[g])) break;
+            handled[g] = 1;
+        }
+    }
+    ray_free_raw(temporary);
+    ray_profile_tick("rank: selected dominant groups");
+    ray_group_dispatch(med_per_group_fn, &ctx, grp_cnt, n_groups);
+    ray_profile_tick("rank: reduced remaining groups");
+    ray_free_raw(handled);
+    if (ray_interrupted() || (pool && atomic_load(&pool->cancelled))) {
+        if (buf_hdr) scratch_free(buf_hdr);
+        ray_release(out); return ray_error("cancel", NULL);
     }
+    if (atomic_load_explicit(&ctx.any_null, memory_order_relaxed)) out->attrs |= RAY_ATTR_HAS_NULLS;
 
     if (buf_hdr) scratch_free(buf_hdr);
     return out;
@@ -2353,46 +2630,6 @@ static inline uint64_t mode_scalar_key(ray_t* src, int64_t row) {
     }
 }
 
-static inline void mode_copy_fixed_cell(ray_t* out, int64_t dst,
-                                        ray_t* src, int64_t row) {
-    uint8_t esz = col_esz(src);
-    memcpy((char*)ray_data(out) + (size_t)dst * esz,
-           (const char*)ray_data(src) + (size_t)row * esz,
-           esz);
-}
-
-static inline void mode_set_null_cell(ray_t* out, int64_t dst) {
-    switch (out->type) {
-        case RAY_F64:
-        case RAY_F32:
-        case RAY_I64:
-        case RAY_TIMESTAMP:
-        case RAY_I32:
-        case RAY_DATE:
-        case RAY_TIME:
-        case RAY_I16:
-            par_set_null(out, dst);
-            return;
-        case RAY_GUID:
-            memset((uint8_t*)ray_data(out) + (size_t)dst * 16, 0, 16);
-            __atomic_fetch_or(&out->attrs, (uint8_t)RAY_ATTR_HAS_NULLS,
-                              __ATOMIC_RELAXED);
-            return;
-        case RAY_STR:
-            memset((ray_str_t*)ray_data(out) + dst, 0, sizeof(ray_str_t));
-            return;
-        case RAY_SYM:
-            ray_write_sym(ray_data(out), dst, 0, out->type, out->attrs);
-            return;
-        case RAY_BOOL:
-        case RAY_U8:
-            ((uint8_t*)ray_data(out))[dst] = 0;
-            return;
-        default:
-            return;
-    }
-}
-
 static int64_t mode_scalar_group(ray_t* src, const int64_t* rows,
                                  int64_t cnt, int* cancelled) {
     uint64_t cap = mode_hash_cap(cnt);
@@ -2512,6 +2749,7 @@ static void mode_fixed_per_group_fn(void* ctx_v, uint32_t worker_id,
             return;
         int64_t off = c->offsets[g];
         int64_t cnt = c->grp_cnt[g];
+        if (cnt >= c->threshold) continue;
         int cancelled = 0;
         int64_t best = (c->src->type == RAY_GUID)
             ? mode_guid_group(c->src, &c->idx_buf[off], cnt, &cancelled)
@@ -2524,42 +2762,45 @@ static void mode_fixed_per_group_fn(void* ctx_v, uint32_t worker_id,
             atomic_store_explicit(&c->oom, 1, memory_order_relaxed);
             return;
         }
-        if (best < 0) mode_set_null_cell(c->out, g);
-        else mode_copy_fixed_cell(c->out, g, c->src, best);
+        c->winners[g] = best;
     }
 }
 
-static ray_t* mode_str_per_group_buf(ray_t* src,
-                                     const int64_t* idx_buf,
-                                     const int64_t* offsets,
-                                     const int64_t* grp_cnt,
-                                     int64_t n_groups) {
-    ray_t* out = col_vec_new(src, n_groups);
-    if (!out || RAY_IS_ERR(out)) return out ? out : ray_error("oom", NULL);
-    out->len = n_groups;
-
-    for (int64_t g = 0; g < n_groups; g++) {
+typedef struct {
+    ray_t* src;
+    const int64_t* rows;
+    const int64_t* offsets;
+    const int64_t* counts;
+    int64_t* winners;
+    int64_t threshold;
+    _Atomic(bool) oom, cancel;
+} mode_str_work_t;
+static void mode_str_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; mode_str_work_t* c = raw;
+    ray_t* src = c->src;
+    const int64_t* idx_buf = c->rows;
+    const int64_t* offsets = c->offsets;
+    const int64_t* grp_cnt = c->counts;
+    for (int64_t g = start; g < end; g++) {
         int64_t cnt = grp_cnt[g];
+        if (cnt >= c->threshold) continue;
         int64_t off = offsets[g];
         uint64_t cap = mode_hash_cap(cnt);
         if (!cap || cap > SIZE_MAX / sizeof(mode_wide_entry_t)) {
-            ray_release(out);
-            return ray_error("oom", NULL);
+            atomic_store(&c->oom, true); return;
         }
         ray_t* hdr = NULL;
         mode_wide_entry_t* ht = (mode_wide_entry_t*)scratch_calloc(
             &hdr, (size_t)cap * sizeof(mode_wide_entry_t));
         if (!ht) {
-            ray_release(out);
-            return ray_error("oom", NULL);
+            atomic_store(&c->oom, true); return;
         }
         uint64_t mask = cap - 1;
         int64_t best_count = 0, best_row = -1, best_pos = INT64_MAX;
         for (int64_t i = 0; i < cnt; i++) {
             if ((i & 65535) == 0 && ray_interrupted()) {
                 scratch_free(hdr);
-                ray_release(out);
-                return ray_error("cancel", "interrupted");
+                atomic_store(&c->cancel, true); return;
             }
             int64_t row = idx_buf[off + i];
             size_t len = 0;
@@ -2600,92 +2841,228 @@ static ray_t* mode_str_per_group_buf(ray_t* src,
             }
         }
         scratch_free(hdr);
-        if (best_row < 0) {
-            mode_set_null_cell(out, g);
-        } else {
-            size_t len = 0;
-            const char* s = ray_str_vec_get(src, best_row, &len);
-            ray_t* nv = ray_str_vec_set(out, g, s ? s : "", s ? len : 0);
-            if (!nv || RAY_IS_ERR(nv)) {
-                ray_release(out);
-                return nv ? nv : ray_error("oom", NULL);
+        c->winners[g] = best_row;
+    }
+}
+/* Values are partitioned by their full hash, then counted independently.
+ * Source-local combining compresses repeated values without changing counts
+ * or first-occurrence ties. Scratch is linear in rows, not rows × workers. */
+typedef struct {
+    uint64_t hash;
+    int64_t row, position, count;
+} mode_record_t;
+typedef struct {
+    ray_t* src;
+    const int64_t* rows;
+    int64_t count;
+    uint32_t tasks, partitions;
+    bool has_nulls;
+    mode_record_t *records, *scattered;
+    int64_t *histogram, *ends;
+    int64_t emitted[RAY_POOL_INIT_TASKS];
+    mode_record_t best[RAY_POOL_INIT_TASKS];
+    _Atomic(bool) oom;
+} mode_split_t;
+static uint64_t mode_row_hash(ray_t* src, int64_t row) {
+    if (src->type == RAY_GUID)
+        return ray_hash_bytes((const char*)ray_data(src) + (size_t)row * 16, 16);
+    if (src->type == RAY_STR) {
+        size_t len = 0;
+        const char* value = ray_str_vec_get(src, row, &len);
+        return ray_hash_bytes(value ? value : "", value ? len : 0);
+    }
+    return ray_hash_i64((int64_t)mode_scalar_key(src, row));
+}
+static bool mode_rows_equal(ray_t* src, int64_t a, int64_t b) {
+    if (src->type == RAY_GUID) {
+        const char* base = ray_data(src);
+        return memcmp(base + (size_t)a * 16, base + (size_t)b * 16, 16) == 0;
+    }
+    if (src->type == RAY_STR) {
+        size_t na = 0, nb = 0;
+        const char* va = ray_str_vec_get(src, a, &na);
+        const char* vb = ray_str_vec_get(src, b, &nb);
+        if (!va) na = 0;
+        if (!vb) nb = 0;
+        return na == nb && (!na || memcmp(va, vb, na) == 0);
+    }
+    return mode_scalar_key(src, a) == mode_scalar_key(src, b);
+}
+static bool mode_better(mode_record_t a, mode_record_t b) {
+    return a.count > b.count || (a.count == b.count && a.position < b.position);
+}
+static void mode_emit_record(mode_split_t* c, int64_t task, int64_t begin,
+        int64_t* emitted, mode_record_t record) {
+    c->records[begin + (*emitted)++] = record;
+    c->histogram[task * c->partitions + (record.hash & (c->partitions - 1))]++;
+}
+static void mode_combine_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; mode_split_t* c = raw;
+    for (int64_t t = start; t < end; t++) {
+        int64_t begin = c->count / c->tasks * t;
+        int64_t limit = t + 1 == c->tasks ? c->count : c->count / c->tasks * (t + 1);
+        mode_record_t local[1024] = {0};
+        int64_t emitted = 0;
+        unsigned used = 0;
+        for (int64_t i = begin; i < limit; i++) {
+            if ((i & 65535) == 0 && ray_interrupted()) return;
+            int64_t row = c->rows[i];
+            if (c->has_nulls && ray_vec_is_null(c->src, row)) continue;
+            uint64_t hash = mode_row_hash(c->src, row);
+            unsigned at = hash & 1023;
+            while (local[at].count && (local[at].hash != hash ||
+                    !mode_rows_equal(c->src, local[at].row, row))) at = (at + 1) & 1023;
+            if (local[at].count) local[at].count++;
+            else {
+                local[at] = (mode_record_t){hash, row, i, 1};
+                if (++used == 768) {
+                    for (unsigned j = 0; j < 1024; j++)
+                        if (local[j].count) mode_emit_record(c, t, begin, &emitted, local[j]);
+                    memset(local, 0, sizeof(local)); used = 0;
+                }
             }
-            out = nv;
         }
+        for (unsigned i = 0; i < 1024; i++)
+            if (local[i].count) mode_emit_record(c, t, begin, &emitted, local[i]);
+        c->emitted[t] = emitted;
     }
-    return out;
 }
-
-ray_t* ray_mode_per_group_buf(ray_t* src,
-                              const int64_t* idx_buf,
-                              const int64_t* offsets,
-                              const int64_t* grp_cnt,
-                              int64_t n_groups) {
-    if (!src || RAY_IS_ERR(src) || n_groups < 0) return NULL;
-    switch (src->type) {
-        case RAY_BOOL:
-        case RAY_U8:
-        case RAY_I16:
-        case RAY_I32:
-        case RAY_I64:
-        case RAY_F32:
-        case RAY_F64:
-        case RAY_DATE:
-        case RAY_TIME:
-        case RAY_TIMESTAMP:
-        case RAY_GUID:
-        case RAY_SYM:
-        case RAY_STR:
-            break;
-        default:
-            return NULL;
+static void mode_scatter_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; mode_split_t* c = raw;
+    for (int64_t t = start; t < end; t++) {
+        int64_t begin = c->count / c->tasks * t;
+        int64_t* cursor = c->histogram + t * c->partitions;
+        for (int64_t i = 0; i < c->emitted[t]; i++) {
+            if ((i & 65535) == 0 && ray_interrupted()) return;
+            mode_record_t record = c->records[begin + i];
+            c->scattered[cursor[record.hash & (c->partitions - 1)]++] = record;
+        }
     }
-    if (src->type == RAY_STR)
-        return mode_str_per_group_buf(src, idx_buf, offsets, grp_cnt, n_groups);
-
-    int64_t total = 0;
-    for (int64_t g = 0; g < n_groups; g++) total += grp_cnt[g];
-
-    ray_t* out = col_vec_new(src, n_groups);
-    if (!out || RAY_IS_ERR(out)) return out ? out : ray_error("oom", NULL);
-    if (out->type == RAY_SYM)
-        ray_sym_vec_adopt_domain(out, sym_domain_rep(src));
-    out->len = n_groups;
-
-    mode_par_ctx_t ctx = {
-        .src = src,
-        .out = out,
-        .idx_buf = idx_buf,
-        .offsets = offsets,
-        .grp_cnt = grp_cnt,
-        .oom = 0,
-        .cancel = 0,
-    };
-
-    ray_pool_t* pool = ray_pool_get();
-    bool par = pool && n_groups >= 8 && total >= 4096;
-    if (par) {
-        if (n_groups < (1 << 16))
-            ray_pool_dispatch_n(pool, mode_fixed_per_group_fn, &ctx,
-                                (uint32_t)n_groups);
-        else
-            ray_pool_dispatch(pool, mode_fixed_per_group_fn, &ctx, n_groups);
-    } else {
-        mode_fixed_per_group_fn(&ctx, 0, 0, n_groups);
+}
+static void mode_count_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; mode_split_t* c = raw;
+    for (int64_t p = start; p < end; p++) {
+        int64_t begin = p ? c->ends[p - 1] : 0, limit = c->ends[p];
+        if (begin == limit) continue;
+        uint64_t cap = mode_hash_cap(limit - begin);
+        if (!cap || cap > SIZE_MAX / sizeof(mode_record_t)) { atomic_store(&c->oom, true); return; }
+        ray_t* hdr = NULL;
+        mode_record_t* table = scratch_calloc(&hdr, (size_t)cap * sizeof(mode_record_t));
+        if (!table) { atomic_store(&c->oom, true); return; }
+        mode_record_t best = {.position = INT64_MAX};
+        for (int64_t i = begin; i < limit; i++) {
+            if ((i & 65535) == 0 && ray_interrupted()) { scratch_free(hdr); return; }
+            mode_record_t record = c->scattered[i];
+            /* Partition bits are constant here; mix again for local slots. */
+            uint64_t at = ray_hash_i64((int64_t)record.hash) & (cap - 1);
+            while (table[at].count && (table[at].hash != record.hash ||
+                    !mode_rows_equal(c->src, table[at].row, record.row)))
+                at = (at + 1) & (cap - 1);
+            if (!table[at].count) table[at] = record;
+            else {
+                table[at].count += record.count;
+                if (record.position < table[at].position) {
+                    table[at].position = record.position;
+                    table[at].row = record.row;
+                }
+            }
+            if (mode_better(table[at], best)) best = table[at];
+        }
+        c->best[p] = best;
+        scratch_free(hdr);
     }
+}
+static int64_t mode_large_group(ray_t* src, const int64_t* rows, int64_t count) {
+    ray_pool_t* pool = ray_pool_get();
+    mode_split_t c = {.src = src, .rows = rows, .count = count,
+        .tasks = ray_pool_total_workers(pool) * 4,
+        /* Empty strings participate in mode; native nulls do not. */
+        .has_nulls = src->type != RAY_STR && ray_vec_may_have_nulls(src)};
+    if (c.tasks > RAY_POOL_INIT_TASKS / 2) c.tasks = RAY_POOL_INIT_TASKS / 2;
+    c.partitions = 1;
+    while (c.partitions < c.tasks) c.partitions *= 2;
+    /* Includes the scattered records and the worst hash-table capacity. */
+    if ((uint64_t)count > SIZE_MAX / 160 ||
+        (uint64_t)count * 160 > (uint64_t)ray_heap_anon_watermark() / 4) return -4;
+    ray_t *records_hdr = NULL, *scatter_hdr = NULL, *hist_hdr = NULL;
+    c.records = scratch_alloc(&records_hdr, (size_t)count * sizeof(mode_record_t));
+    c.histogram = scratch_calloc(&hist_hdr,
+        ((size_t)c.tasks * c.partitions + c.partitions) * sizeof(int64_t));
+    int64_t answer = -2;
+    if (!c.records || !c.histogram) goto done;
+    c.ends = c.histogram + (size_t)c.tasks * c.partitions;
+    ray_pool_dispatch_n(pool, mode_combine_run, &c, c.tasks);
+    if (ray_interrupted() || atomic_load(&pool->cancelled)) { answer = -3; goto done; }
+    int64_t total = 0;
+    for (uint32_t p = 0; p < c.partitions; p++) {
+        for (uint32_t t = 0; t < c.tasks; t++) {
+            int64_t* slot = &c.histogram[(size_t)t * c.partitions + p];
+            int64_t n = *slot; *slot = total; total += n;
+        }
+        c.ends[p] = total;
+    }
+    if (!total) { answer = -1; goto done; }
+    c.scattered = scratch_alloc(&scatter_hdr, (size_t)total * sizeof(mode_record_t));
+    if (!c.scattered) goto done;
+    ray_pool_dispatch_n(pool, mode_scatter_run, &c, c.tasks);
+    if (ray_interrupted() || atomic_load(&pool->cancelled)) { answer = -3; goto done; }
+    scratch_free(records_hdr); records_hdr = NULL;
+    ray_pool_dispatch_n(pool, mode_count_run, &c, c.partitions);
+    if (ray_interrupted() || atomic_load(&pool->cancelled)) { answer = -3; goto done; }
+    if (atomic_load(&c.oom)) goto done;
+    mode_record_t best = {.position = INT64_MAX};
+    for (uint32_t p = 0; p < c.partitions; p++)
+        if (c.best[p].count && mode_better(c.best[p], best)) best = c.best[p];
+    answer = best.count ? best.row : -1;
+done:
+    scratch_free(records_hdr); scratch_free(scatter_hdr); scratch_free(hist_hdr);
+    return answer;
+}
 
-    if (atomic_load_explicit(&ctx.cancel, memory_order_relaxed) ||
-        ray_interrupted()) {
-        ray_release(out);
-        return ray_error("cancel", "interrupted");
-    }
-    if (atomic_load_explicit(&ctx.oom, memory_order_relaxed)) {
-        ray_release(out);
-        return ray_error("oom", NULL);
+ray_t* ray_mode_per_group_buf(ray_t* src, const int64_t* rows,
+        const int64_t* offsets, const int64_t* counts, int64_t ng) {
+    if (!src || RAY_IS_ERR(src) || ng < 0) return NULL;
+    switch (src->type) {
+        case RAY_BOOL: case RAY_U8: case RAY_I16: case RAY_I32: case RAY_I64:
+        case RAY_F32: case RAY_F64: case RAY_DATE: case RAY_TIME: case RAY_TIMESTAMP:
+        case RAY_GUID: case RAY_SYM: case RAY_STR: break;
+        default: return NULL;
     }
-    if (out->type != RAY_STR && out->type != RAY_BOOL &&
-        out->type != RAY_U8 && out->type != RAY_SYM)
-        par_finalize_nulls(out);
+    int64_t* winners = ray_alloc_raw((size_t)(ng ? ng : 1) * sizeof(int64_t));
+    if (!winners) return ray_error("oom", NULL);
+    ray_pool_t* pool = ray_pool_get();
+    int64_t total = 0, threshold = INT64_MAX;
+    for (int64_t g = 0; g < ng; g++) total += counts[g];
+    if (ray_pool_par_dispatch_ok(pool, total, 262144)) {
+        threshold = total / ray_pool_total_workers(pool);
+        if (threshold < 262144) threshold = 262144;
+    }
+    mode_str_work_t strings = {.src = src, .rows = rows, .offsets = offsets,
+        .counts = counts, .winners = winners, .threshold = threshold};
+    mode_par_ctx_t fixed = {.src = src, .idx_buf = rows, .offsets = offsets,
+        .grp_cnt = counts, .winners = winners, .threshold = threshold};
+    if (src->type == RAY_STR) ray_group_dispatch(mode_str_run, &strings, counts, ng);
+    else ray_group_dispatch(mode_fixed_per_group_fn, &fixed, counts, ng);
+    for (int64_t g = 0; g < ng; g++) {
+        if (ray_interrupted() || (pool && atomic_load(&pool->cancelled)) ||
+            atomic_load(&strings.cancel) || atomic_load(&fixed.cancel) ||
+            atomic_load(&strings.oom) || atomic_load(&fixed.oom)) break;
+        if (counts[g] < threshold) continue;
+        int64_t winner = mode_large_group(src, rows + offsets[g], counts[g]);
+        if (winner == -4) {
+            strings.threshold = fixed.threshold = INT64_MAX;
+            if (src->type == RAY_STR) mode_str_run(&strings, 0, g, g + 1);
+            else mode_fixed_per_group_fn(&fixed, 0, g, g + 1);
+        } else if (winner == -2) atomic_store(&fixed.oom, 1);
+        else if (winner == -3) atomic_store(&fixed.cancel, 1);
+        else winners[g] = winner;
+    }
+    bool cancel = ray_interrupted() || (pool && atomic_load(&pool->cancelled)) ||
+        atomic_load(&strings.cancel) || atomic_load(&fixed.cancel);
+    ray_t* out = cancel ? ray_error("cancel", NULL) :
+        atomic_load(&strings.oom) || atomic_load(&fixed.oom) ? ray_error("oom", NULL) :
+        ray_group_gather(src, winners, ng);
+    ray_free_raw(winners);
     return out;
 }
 
@@ -2854,6 +3231,8 @@ static void topk_per_group_fn(void* ctx_v, uint32_t worker_id,
              * heap[0] with heap[n-1] — that puts the root at the end
              * each iteration, which already gives the desired final
              * order. */
+            if (kept < K)
+                for (int64_t h = kept / 2; h > 0; h--) topk_sift_down_dbl(dst, kept, h - 1, max_heap);
             int64_t n = kept;
             while (n > 1) {
                 double tmp = dst[0]; dst[0] = dst[n-1]; dst[n-1] = tmp;
@@ -2903,6 +3282,8 @@ static void topk_per_group_fn(void* ctx_v, uint32_t worker_id,
                     }
                 }
             }
+            if (kept < K)
+                for (int64_t h = kept / 2; h > 0; h--) topk_sift_down_i64(heap, kept, h - 1, max_heap);
             int64_t n = kept;
             while (n > 1) {
                 int64_t tmp = heap[0]; heap[0] = heap[n-1]; heap[n-1] = tmp;
@@ -2919,17 +3300,25 @@ static void topk_per_group_fn(void* ctx_v, uint32_t worker_id,
 
 /* Wide and F32 top-K retain source row ids, so domains/string owners never
  * enter worker state. Scratch is bounded by K, independent of group size. */
-static int topk_row_cmp(ray_t* src, int64_t a, int64_t b) {
+static int topk_row_cmp(ray_t* src, int64_t a, int64_t b, const ray_group_sym_view_t* view) {
     const void* data = ray_data(src);
     if (src->type == RAY_F32) {
         float x = ((const float*)data)[a], y = ((const float*)data)[b];
         return (x > y) - (x < y);
     }
+    if (src->type == RAY_F64) {
+        double x = ((const double*)data)[a], y = ((const double*)data)[b];
+        return (x > y) - (x < y);
+    }
+    if (src->type != RAY_GUID && src->type != RAY_SYM && src->type != RAY_STR) {
+        int64_t x = topk_read_i64(data, src->type, a), y = topk_read_i64(data, src->type, b);
+        return (x > y) - (x < y);
+    }
     if (src->type == RAY_GUID)
         return memcmp((const char*)data + (size_t)a * 16, (const char*)data + (size_t)b * 16, 16);
     if (src->type == RAY_SYM) {
-        ray_t* x = ray_sym_domain_str(ray_sym_vec_domain(src), ray_read_sym(data, a, src->type, src->attrs));
-        ray_t* y = ray_sym_domain_str(ray_sym_vec_domain(src), ray_read_sym(data, b, src->type, src->attrs));
+        ray_t* x = ray_group_sym_read(view, ray_sym_vec_domain(src), ray_read_sym(data, a, src->type, src->attrs));
+        ray_t* y = ray_group_sym_read(view, ray_sym_vec_domain(src), ray_read_sym(data, b, src->type, src->attrs));
         return ray_str_cmp(x, y);
     }
     size_t na = 0, nb = 0;
@@ -2939,29 +3328,67 @@ static int topk_row_cmp(ray_t* src, int64_t a, int64_t b) {
     int cmp = common ? memcmp(x, y, common) : 0;
     return cmp ? cmp : (na > nb) - (na < nb);
 }
-static void topk_rows_sift(ray_t* src, int64_t* heap, int64_t n, int64_t root, bool desc) {
+static void topk_rows_sift(ray_t* src, int64_t* heap, int64_t n, int64_t root, bool desc, const ray_group_sym_view_t* view) {
+#define TOPK_SIFT_NATIVE(TYPE) do { \
+        const TYPE* data = ray_data(src); \
+        for (;;) { \
+            int64_t child = root * 2 + 1; \
+            if (child >= n) return; \
+            if (child + 1 < n && (desc ? data[heap[child + 1]] < data[heap[child]] : \
+                                        data[heap[child + 1]] > data[heap[child]])) child++; \
+            if (!(desc ? data[heap[child]] < data[heap[root]] : data[heap[child]] > data[heap[root]])) return; \
+            int64_t swap = heap[root]; heap[root] = heap[child]; heap[child] = swap; \
+            root = child; \
+        } \
+    } while (0)
+    switch (src->type) {
+        case RAY_BOOL: case RAY_U8: TOPK_SIFT_NATIVE(uint8_t);
+        case RAY_I16: TOPK_SIFT_NATIVE(int16_t);
+        case RAY_I32: case RAY_DATE: case RAY_TIME: TOPK_SIFT_NATIVE(int32_t);
+        case RAY_I64: case RAY_TIMESTAMP: TOPK_SIFT_NATIVE(int64_t);
+        case RAY_F32: TOPK_SIFT_NATIVE(float);
+        case RAY_F64: TOPK_SIFT_NATIVE(double);
+        default: break;
+    }
+#undef TOPK_SIFT_NATIVE
     for (;;) {
         int64_t child = root * 2 + 1;
         if (child >= n) return;
         if (child + 1 < n) {
-            int cmp = topk_row_cmp(src, heap[child + 1], heap[child]);
+            int cmp = topk_row_cmp(src, heap[child + 1], heap[child], view);
             if (desc ? cmp < 0 : cmp > 0) child++;
         }
-        int cmp = topk_row_cmp(src, heap[child], heap[root]);
+        int cmp = topk_row_cmp(src, heap[child], heap[root], view);
         if (!(desc ? cmp < 0 : cmp > 0)) return;
         int64_t tmp = heap[root]; heap[root] = heap[child]; heap[child] = tmp;
         root = child;
     }
 }
-static ray_t* topk_wide_per_group_buf(ray_t* src, int64_t k, bool desc,
-        const int64_t* rows, const int64_t* offsets, const int64_t* counts, int64_t ng) {
+typedef struct {
+    ray_t* src;
+    int64_t k;
+    bool desc;
+    const int64_t* rows;
+    const int64_t* offsets;
+    const int64_t* counts;
+    ray_t** cells;
+    _Atomic(bool) oom;
+    _Atomic(ray_t*) error;
+    ray_group_sym_view_t symbols;
+} topk_wide_work_t;
+static void topk_wide_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; topk_wide_work_t* c = raw;
+    ray_t* src = c->src;
+    const int64_t* rows = c->rows;
+    const int64_t* offsets = c->offsets;
+    const int64_t* counts = c->counts;
+    bool desc = c->desc;
     int64_t max_count = 0;
-    for (int64_t g = 0; g < ng; g++) if (counts[g] > max_count) max_count = counts[g];
-    int64_t cap = k < max_count ? k : max_count;
+    for (int64_t g = start; g < end; g++) if (counts[g] > max_count) max_count = counts[g];
+    int64_t cap = c->k < max_count ? c->k : max_count;
     int64_t* heap = ray_alloc_raw((size_t)(cap > 0 ? cap : 1) * sizeof(int64_t));
-    ray_t* out = ray_list_new(ng);
-    if (!heap || !out || RAY_IS_ERR(out)) { ray_free_raw(heap); if (out && !RAY_IS_ERR(out)) ray_release(out); return ray_error("oom", NULL); }
-    for (int64_t g = 0; g < ng; g++) {
+    if (!heap) { atomic_store(&c->oom, true); return; }
+    for (int64_t g = start; g < end; g++) {
         int64_t kept = 0;
         for (int64_t j = 0; j < counts[g]; j++) {
             int64_t row = rows[offsets[g] + j];
@@ -2969,28 +3396,52 @@ static ray_t* topk_wide_per_group_buf(ray_t* src, int64_t k, bool desc,
             if (kept < cap) {
                 heap[kept++] = row;
                 if (kept == cap)
-                    for (int64_t h = kept / 2; h > 0; h--) topk_rows_sift(src, heap, kept, h - 1, desc);
+                    for (int64_t h = kept / 2; h > 0; h--) topk_rows_sift(src, heap, kept, h - 1, desc, &c->symbols);
             } else {
-                int cmp = topk_row_cmp(src, row, heap[0]);
-                if (desc ? cmp > 0 : cmp < 0) { heap[0] = row; topk_rows_sift(src, heap, kept, 0, desc); }
+                int cmp = topk_row_cmp(src, row, heap[0], &c->symbols);
+                if (desc ? cmp > 0 : cmp < 0) { heap[0] = row; topk_rows_sift(src, heap, kept, 0, desc, &c->symbols); }
             }
         }
         if (kept < cap)
-            for (int64_t h = kept / 2; h > 0; h--) topk_rows_sift(src, heap, kept, h - 1, desc);
+            for (int64_t h = kept / 2; h > 0; h--) topk_rows_sift(src, heap, kept, h - 1, desc, &c->symbols);
         for (int64_t n = kept; n > 1; n--) {
             int64_t tmp = heap[0]; heap[0] = heap[n - 1]; heap[n - 1] = tmp;
-            topk_rows_sift(src, heap, n - 1, 0, desc);
+            topk_rows_sift(src, heap, n - 1, 0, desc, &c->symbols);
         }
         ray_t* cell = gather_by_idx(src, heap, kept);
-        if (!cell || RAY_IS_ERR(cell)) { ray_free_raw(heap); ray_release(out); return cell ? cell : ray_error("oom", NULL); }
-        out = ray_list_append(out, cell); ray_release(cell);
-        if (!out || RAY_IS_ERR(out)) { ray_free_raw(heap); return out ? out : ray_error("oom", NULL); }
+        if (!cell || RAY_IS_ERR(cell)) {
+            if (cell) {
+                ray_t* expected = NULL;
+                if (!atomic_compare_exchange_strong(&c->error, &expected, cell)) ray_release(cell);
+            }
+            atomic_store(&c->oom, true); break;
+        }
+        c->cells[g] = cell; /* transfer ownership to a disjoint list slot */
     }
     ray_free_raw(heap);
+}
+static ray_t* topk_wide_per_group_buf(ray_t* src, int64_t k, bool desc,
+        const int64_t* rows, const int64_t* offsets, const int64_t* counts, int64_t ng) {
+    ray_t* out = ray_list_new(ng);
+    if (!out || RAY_IS_ERR(out)) return out ? out : ray_error("oom", NULL);
+    out->len = ng;
+    memset(ray_data(out), 0, (size_t)ng * sizeof(ray_t*));
+    topk_wide_work_t work = {.src = src, .k = k, .desc = desc, .rows = rows,
+        .offsets = offsets, .counts = counts, .cells = ray_data(out), .oom = false, .error = NULL};
+    if (src->type == RAY_SYM) ray_sym_strings_borrow(&work.symbols.strings, &work.symbols.count);
+    ray_group_dispatch(topk_wide_run, &work, counts, ng);
+    ray_pool_t* pool = ray_pool_get();
+    bool cancel = pool && atomic_load(&pool->cancelled);
+    ray_t* error = atomic_load(&work.error);
+    if (cancel || atomic_load(&work.oom)) {
+        ray_release(out);
+        if (error) return error;
+        return ray_error(cancel ? "cancel" : "oom", NULL);
+    }
     return out;
 }
 
-ray_t* ray_topk_per_group_buf(ray_t* src,
+static ray_t* topk_regular_per_group_buf(ray_t* src,
                               int64_t k,
                               uint8_t desc,
                               const int64_t* idx_buf,
@@ -3007,8 +3458,6 @@ ray_t* ray_topk_per_group_buf(ray_t* src,
         t != RAY_TIMESTAMP)
         return NULL;
 
-    int64_t total = 0;
-    for (int64_t g = 0; g < n_groups; g++) total += grp_cnt[g];
 
     ray_t* out = ray_list_new(n_groups);
     if (!out || RAY_IS_ERR(out)) return out ? out : ray_error("oom", NULL);
@@ -3048,18 +3497,7 @@ ray_t* ray_topk_per_group_buf(ray_t* src,
         .oom = &oom,
     };
 
-    ray_pool_t* pool = ray_pool_get();
-    bool par = pool && n_groups >= 8 && total >= 4096;
-    if (par) {
-        /* See ray_median_per_group_buf for the rationale on the
-         * dispatch_n vs dispatch split. */
-        if (n_groups < (1 << 16))
-            ray_pool_dispatch_n(pool, topk_per_group_fn, &ctx, (uint32_t)n_groups);
-        else
-            ray_pool_dispatch(pool, topk_per_group_fn, &ctx, n_groups);
-    } else {
-        topk_per_group_fn(&ctx, 0, 0, n_groups);
-    }
+    ray_group_dispatch(topk_per_group_fn, &ctx, grp_cnt, n_groups);
 
     if (atomic_load_explicit(&oom, memory_order_relaxed)) {
         ray_release(out);
@@ -3069,6 +3507,521 @@ ray_t* ray_topk_per_group_buf(ray_t* src,
     return out;
 }
 
+/* A group's global K winners are contained in the union of its chunks' K
+ * winners. Keep only row ids and merge those bounded heaps after the barrier. */
+typedef struct {
+    ray_t* source;
+    const int64_t* rows;
+    int64_t count, k, heap_stride;
+    uint32_t tasks, source_tasks;
+    bool desc, sorted;
+    int64_t* heaps;
+    int64_t kept[RAY_POOL_INIT_TASKS];
+    ray_group_sym_view_t symbols;
+} topk_chunks_t;
+static void topk_keep_row(topk_chunks_t* c, int64_t* heap, int64_t* kept, int64_t row) {
+    if (*kept < c->k) {
+        heap[(*kept)++] = row;
+        if (*kept == c->k)
+            for (int64_t h = *kept / 2; h > 0; h--)
+                topk_rows_sift(c->source, heap, *kept, h - 1, c->desc, &c->symbols);
+    } else {
+        int cmp = topk_row_cmp(c->source, row, heap[0], &c->symbols);
+        if (c->desc ? cmp > 0 : cmp < 0) {
+            heap[0] = row;
+            topk_rows_sift(c->source, heap, *kept, 0, c->desc, &c->symbols);
+        }
+    }
+}
+static void topk_sort_chunk(topk_chunks_t* c, int64_t t, int64_t kept) {
+    int64_t* heap = c->heaps + t * (c->heap_stride ? c->heap_stride : c->k);
+    if (kept < c->k)
+        for (int64_t h = kept / 2; h > 0; h--)
+            topk_rows_sift(c->source, heap, kept, h - 1, c->desc, &c->symbols);
+    for (int64_t n = kept; n > 1; n--) {
+        int64_t swap = heap[0]; heap[0] = heap[n - 1]; heap[n - 1] = swap;
+        topk_rows_sift(c->source, heap, n - 1, 0, c->desc, &c->symbols);
+    }
+}
+static void topk_sort_chunks_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; topk_chunks_t* c = raw;
+    for (int64_t t = start; t < end; t++) topk_sort_chunk(c, t, c->kept[t]);
+}
+static void topk_chunks_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    topk_chunks_t* c = raw;
+    uint32_t sources = c->source_tasks ? c->source_tasks : c->tasks;
+    for (int64_t t = start; t < end; t++) {
+        int64_t remainder = c->count % sources;
+        int64_t begin = c->count / sources * t + (t < remainder ? t : remainder);
+        int64_t limit = begin + c->count / sources + (t < remainder);
+        int64_t heap_id = c->source_tasks ? wid : t;
+        int64_t kept = c->source_tasks ? c->kept[heap_id] : 0;
+        int64_t* heap = c->heaps + heap_id * (c->heap_stride ? c->heap_stride : c->k);
+        bool has_nulls = ray_vec_may_have_nulls(c->source);
+        /* Most rows lose against the heap root. Dispatch native types once,
+         * and enter the general comparator only when the heap must change. */
+#define TOPK_SCAN_NATIVE(TYPE, VALID) do { \
+            const TYPE* data = ray_data(c->source); \
+            for (int64_t i = begin; i < limit; i++) { \
+                if ((i & 65535) == 0 && ray_interrupted()) return; \
+                int64_t row = c->rows[i]; \
+                TYPE value = data[row]; \
+                if (has_nulls && !(VALID)) continue; \
+                if (kept < c->k) { \
+                    topk_keep_row(c, heap, &kept, row); \
+                } else if (c->desc ? value > data[heap[0]] : value < data[heap[0]]) { \
+                    heap[0] = row; \
+                    int64_t root = 0; \
+                    for (;;) { \
+                        int64_t child = root * 2 + 1; \
+                        if (child >= kept) break; \
+                        if (child + 1 < kept && (c->desc ? data[heap[child + 1]] < data[heap[child]] : \
+                                                          data[heap[child + 1]] > data[heap[child]])) child++; \
+                        if (!(c->desc ? data[heap[child]] < data[heap[root]] : \
+                                        data[heap[child]] > data[heap[root]])) break; \
+                        int64_t swap = heap[root]; heap[root] = heap[child]; heap[child] = swap; \
+                        root = child; \
+                    } \
+                } \
+            } \
+        } while (0)
+        switch (c->source->type) {
+            case RAY_BOOL: case RAY_U8: TOPK_SCAN_NATIVE(uint8_t, true); break;
+            case RAY_I16: TOPK_SCAN_NATIVE(int16_t, value != NULL_I16); break;
+            case RAY_I32: case RAY_DATE: case RAY_TIME:
+                TOPK_SCAN_NATIVE(int32_t, value != NULL_I32); break;
+            case RAY_I64: case RAY_TIMESTAMP:
+                TOPK_SCAN_NATIVE(int64_t, value != NULL_I64); break;
+            case RAY_F32: TOPK_SCAN_NATIVE(float, value == value); break;
+            case RAY_F64: TOPK_SCAN_NATIVE(double, value == value); break;
+            default:
+                for (int64_t i = begin; i < limit; i++) {
+                    if ((i & 65535) == 0 && ray_interrupted()) return;
+                    if (!ray_vec_is_null(c->source, c->rows[i]))
+                        topk_keep_row(c, heap, &kept, c->rows[i]);
+                }
+                break;
+        }
+#undef TOPK_SCAN_NATIVE
+        if (c->sorted && !c->source_tasks) topk_sort_chunk(c, heap_id, kept);
+        c->kept[heap_id] = kept;
+    }
+}
+/* Large K can approach the group size. Sort bounded chunk candidates, then
+ * merge only the first K rows of each pair. Output-rank slices parallelize
+ * even the final pair, so no coordinator scans the whole group's winners. */
+typedef struct {
+    const topk_chunks_t* values;
+    const int64_t* input;
+    int64_t* output;
+    struct {
+        int64_t left, nl, right, nr, output, begin, end;
+    } job[RAY_POOL_INIT_TASKS];
+} topk_merge_t;
+static bool topk_before(const topk_chunks_t* c, int64_t a, int64_t b, bool equal) {
+    int cmp = topk_row_cmp(c->source, a, b, &c->symbols);
+    return c->desc ? (equal ? cmp >= 0 : cmp > 0) : (equal ? cmp <= 0 : cmp < 0);
+}
+static void topk_merge_run(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; topk_merge_t* c = raw;
+    for (int64_t t = start; t < end; t++) {
+        const int64_t* left = c->input + c->job[t].left;
+        const int64_t* right = c->input + c->job[t].right;
+        int64_t nl = c->job[t].nl, nr = c->job[t].nr, diagonal = c->job[t].begin;
+        int64_t low = diagonal > nr ? diagonal - nr : 0;
+        int64_t high = diagonal < nl ? diagonal : nl, i = 0, j = 0;
+        /* Co-rank a merge position. Equal values from the left run precede
+         * the right run, making every output slice use the same boundary. */
+        while (low <= high) {
+            i = low + (high - low) / 2; j = diagonal - i;
+            if (i > 0 && j < nr && !topk_before(c->values, left[i - 1], right[j], true)) high = i - 1;
+            else if (j > 0 && i < nl && topk_before(c->values, left[i], right[j - 1], true)) low = i + 1;
+            else break;
+        }
+        for (int64_t pos = diagonal; pos < c->job[t].end; pos++) {
+            if ((pos & 65535) == 0 && ray_interrupted()) return;
+            bool take_left = i < nl && (j == nr || topk_before(c->values, left[i], right[j], true));
+            c->output[c->job[t].output + pos] = take_left ? left[i++] : right[j++];
+        }
+    }
+}
+typedef struct {
+    const topk_chunks_t* values;
+    int64_t *input, *output;
+    int64_t base, n, pivot;
+    struct { int64_t begin, end, less, equal, lo, eq, hi; } task[RAY_POOL_INIT_TASKS];
+} topk_select_t;
+static void topk_select_ranges(topk_select_t* c) {
+    int64_t tasks = c->values->tasks, remainder = c->n % tasks;
+    for (int64_t t = 0; t < tasks; t++) {
+        c->task[t].begin = c->base + c->n / tasks * t + (t < remainder ? t : remainder);
+        c->task[t].end = c->task[t].begin + c->n / tasks + (t < remainder);
+    }
+}
+static void topk_select_gather(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; topk_select_t* c = raw;
+    for (int64_t t = start; t < end; t++) {
+        int64_t at = c->task[t].begin;
+        for (int64_t i = at; i < c->task[t].end; i++) {
+            if ((i & 65535) == 0 && ray_interrupted()) return;
+            int64_t row = c->values->rows[i];
+            if (!ray_vec_is_null(c->values->source, row)) c->input[at++] = row;
+        }
+        c->task[t].less = at - c->task[t].begin;
+    }
+}
+static void topk_select_compact(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; topk_select_t* c = raw;
+    for (int64_t t = start; t < end; t++)
+        memcpy(c->output + c->task[t].lo, c->input + c->task[t].begin,
+               (size_t)c->task[t].less * sizeof(int64_t));
+}
+static void topk_select_count(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; topk_select_t* c = raw;
+    ray_t* src = c->values->source;
+#define TOPK_SELECT_COUNT(TYPE) do { \
+        const TYPE* data = ray_data(src); \
+        TYPE pivot = data[c->pivot]; \
+        for (int64_t t = start; t < end; t++) { \
+            int64_t less = 0, equal = 0; \
+            for (int64_t i = c->task[t].begin; i < c->task[t].end; i++) { \
+                if ((i & 65535) == 0 && ray_interrupted()) return; \
+                TYPE value = data[c->input[i]]; \
+                int cmp = (value > pivot) - (value < pivot); \
+                if (!cmp) equal++; \
+                else if (c->values->desc ? cmp > 0 : cmp < 0) less++; \
+            } \
+            c->task[t].less = less; c->task[t].equal = equal; \
+        } \
+        return; \
+    } while (0)
+    switch (src->type) {
+        case RAY_BOOL: case RAY_U8: TOPK_SELECT_COUNT(uint8_t);
+        case RAY_I16: TOPK_SELECT_COUNT(int16_t);
+        case RAY_I32: case RAY_DATE: case RAY_TIME: TOPK_SELECT_COUNT(int32_t);
+        case RAY_I64: case RAY_TIMESTAMP: TOPK_SELECT_COUNT(int64_t);
+        case RAY_F32: TOPK_SELECT_COUNT(float);
+        case RAY_F64: TOPK_SELECT_COUNT(double);
+        default: break;
+    }
+#undef TOPK_SELECT_COUNT
+    for (int64_t t = start; t < end; t++) {
+        int64_t less = 0, equal = 0;
+        for (int64_t i = c->task[t].begin; i < c->task[t].end; i++) {
+            if ((i & 65535) == 0 && ray_interrupted()) return;
+            int cmp = topk_row_cmp(c->values->source, c->input[i], c->pivot, &c->values->symbols);
+            if (!cmp) equal++;
+            else if (c->values->desc ? cmp > 0 : cmp < 0) less++;
+        }
+        c->task[t].less = less; c->task[t].equal = equal;
+    }
+}
+static void topk_select_scatter(void* raw, uint32_t wid, int64_t start, int64_t end) {
+    (void)wid; topk_select_t* c = raw;
+    ray_t* src = c->values->source;
+#define TOPK_SELECT_SCATTER(TYPE) do { \
+        const TYPE* data = ray_data(src); \
+        TYPE pivot = data[c->pivot]; \
+        for (int64_t t = start; t < end; t++) { \
+            int64_t lo = c->task[t].lo, eq = c->task[t].eq, hi = c->task[t].hi; \
+            /* Keep the already selected prefix when exchanging scratch buffers. */ \
+            int64_t begin = c->base / c->values->tasks * t; \
+            int64_t limit = t + 1 == c->values->tasks ? c->base : c->base / c->values->tasks * (t + 1); \
+            memcpy(c->output + begin, c->input + begin, (size_t)(limit - begin) * sizeof(int64_t)); \
+            for (int64_t i = c->task[t].begin; i < c->task[t].end; i++) { \
+                if ((i & 65535) == 0 && ray_interrupted()) return; \
+                int64_t row = c->input[i]; \
+                TYPE value = data[row]; \
+                int cmp = (value > pivot) - (value < pivot); \
+                if (!cmp) c->output[eq++] = row; \
+                else if (c->values->desc ? cmp > 0 : cmp < 0) c->output[lo++] = row; \
+                else c->output[hi++] = row; \
+            } \
+        } \
+        return; \
+    } while (0)
+    switch (src->type) {
+        case RAY_BOOL: case RAY_U8: TOPK_SELECT_SCATTER(uint8_t);
+        case RAY_I16: TOPK_SELECT_SCATTER(int16_t);
+        case RAY_I32: case RAY_DATE: case RAY_TIME: TOPK_SELECT_SCATTER(int32_t);
+        case RAY_I64: case RAY_TIMESTAMP: TOPK_SELECT_SCATTER(int64_t);
+        case RAY_F32: TOPK_SELECT_SCATTER(float);
+        case RAY_F64: TOPK_SELECT_SCATTER(double);
+        default: break;
+    }
+#undef TOPK_SELECT_SCATTER
+    for (int64_t t = start; t < end; t++) {
+        int64_t lo = c->task[t].lo, eq = c->task[t].eq, hi = c->task[t].hi;
+        /* Keep the already selected prefix when exchanging scratch buffers. */
+        int64_t begin = c->base / c->values->tasks * t;
+        int64_t limit = t + 1 == c->values->tasks ? c->base : c->base / c->values->tasks * (t + 1);
+        memcpy(c->output + begin, c->input + begin, (size_t)(limit - begin) * sizeof(int64_t));
+        for (int64_t i = c->task[t].begin; i < c->task[t].end; i++) {
+            if ((i & 65535) == 0 && ray_interrupted()) return;
+            int64_t row = c->input[i];
+            int cmp = topk_row_cmp(c->values->source, row, c->pivot, &c->values->symbols);
+            if (!cmp) c->output[eq++] = row;
+            else if (c->values->desc ? cmp > 0 : cmp < 0) c->output[lo++] = row;
+            else c->output[hi++] = row;
+        }
+    }
+}
+/* Three-way selection leaves the exact K best rows in the prefix. Parallel
+ * partitioning handles large ranges; a bounded final range uses the same
+ * comparison in place. Sampling chooses the pivot, never the answer. */
+static int64_t topk_select_rows(const topk_chunks_t* values, int64_t** input,
+        int64_t** scratch, int64_t k) {
+    topk_select_t c = {.values = values, .input = *input, .output = *scratch, .n = values->count};
+    ray_pool_t* pool = ray_pool_get();
+    topk_select_ranges(&c);
+    ray_pool_dispatch_n(pool, topk_select_gather, &c, values->tasks);
+    if (ray_interrupted() || atomic_load(&pool->cancelled)) return -1;
+    int64_t valid = 0;
+    for (uint32_t t = 0; t < values->tasks; t++) { c.task[t].lo = valid; valid += c.task[t].less; }
+    if (valid != c.n) {
+        ray_pool_dispatch_n(pool, topk_select_compact, &c, values->tasks);
+        if (ray_interrupted() || atomic_load(&pool->cancelled)) return -1;
+        int64_t* swap = c.input; c.input = c.output; c.output = swap;
+    }
+    c.n = valid;
+    if (k > valid) k = valid;
+    unsigned depth = 0;
+    while (k > 0 && c.base + c.n > k) {
+        if (ray_interrupted() || atomic_load(&pool->cancelled)) return -1;
+        int64_t sample[33], step = c.n / 33;
+        unsigned ns = step ? 33 : (unsigned)c.n;
+        for (unsigned i = 0; i < ns; i++) {
+            sample[i] = c.input[c.base + (step ? i * step + ray_hash_i64(i + depth * 33) % step : i)];
+            for (unsigned j = i; j && topk_before(values, sample[j], sample[j - 1], false); j--) {
+                int64_t swap = sample[j]; sample[j] = sample[j - 1]; sample[j - 1] = swap;
+            }
+        }
+        c.pivot = sample[ns / 2];
+        int64_t less = 0, equal = 0;
+        if (c.n < 65536 || depth >= 32) {
+            if (depth >= 32) {
+                /* Bounded worst-case fallback: sort only the active range. */
+                int64_t* heap = c.input + c.base;
+                for (int64_t h = c.n / 2; h > 0; h--) topk_rows_sift(values->source, heap, c.n, h - 1, values->desc, &values->symbols);
+                for (int64_t n = c.n; n > 1; n--) {
+                    int64_t swap = heap[0]; heap[0] = heap[n - 1]; heap[n - 1] = swap;
+                    topk_rows_sift(values->source, heap, n - 1, 0, values->desc, &values->symbols);
+                }
+                break;
+            }
+            int64_t lo = c.base, at = lo, hi = c.base + c.n;
+            while (at < hi) {
+                int cmp = topk_row_cmp(values->source, c.input[at], c.pivot, &values->symbols);
+                if (!cmp) at++;
+                else if (values->desc ? cmp > 0 : cmp < 0) {
+                    int64_t swap = c.input[lo]; c.input[lo++] = c.input[at]; c.input[at++] = swap;
+                } else {
+                    int64_t swap = c.input[--hi]; c.input[hi] = c.input[at]; c.input[at] = swap;
+                }
+            }
+            less = lo - c.base; equal = hi - lo;
+        } else {
+            topk_select_ranges(&c);
+            ray_pool_dispatch_n(pool, topk_select_count, &c, values->tasks);
+            if (ray_interrupted() || atomic_load(&pool->cancelled)) return -1;
+            for (uint32_t t = 0; t < values->tasks; t++) { less += c.task[t].less; equal += c.task[t].equal; }
+            int64_t lo = c.base, eq = lo + less, hi = eq + equal;
+            for (uint32_t t = 0; t < values->tasks; t++) {
+                c.task[t].lo = lo; lo += c.task[t].less;
+                c.task[t].eq = eq; eq += c.task[t].equal;
+                c.task[t].hi = hi; hi += c.task[t].end - c.task[t].begin - c.task[t].less - c.task[t].equal;
+            }
+            ray_pool_dispatch_n(pool, topk_select_scatter, &c, values->tasks);
+            if (ray_interrupted() || atomic_load(&pool->cancelled)) return -1;
+            int64_t* swap = c.input; c.input = c.output; c.output = swap;
+        }
+        depth++;
+        if (k <= c.base + less) c.n = less;
+        else if (k <= c.base + less + equal) break;
+        else { c.base += less + equal; c.n -= less + equal; }
+    }
+    *input = c.input; *scratch = c.output;
+    return k;
+}
+static ray_t* topk_sorted_large_group(ray_t* src, const int64_t* rows, int64_t count,
+        int64_t k, bool desc, uint32_t tasks) {
+    /* Sorting each chunk's K candidates costs K*log2(K). Select first
+     * once that work approaches a full scan of the source rows. */
+    unsigned levels = 64 - (unsigned)__builtin_clzll((uint64_t)k);
+    bool select = k > count / tasks / levels / 2;
+    /* A near-full result also needs sorting. Bound each sorting run so
+     * small pools do not sort multi-million-row heaps on one worker. */
+    if (select) {
+        uint32_t limit = tasks * 4;
+        if (limit > RAY_POOL_INIT_TASKS / 2) limit = RAY_POOL_INIT_TASKS / 2;
+        while (tasks < limit && k / tasks > 262144) tasks *= 2;
+        if (tasks > limit) tasks = limit;
+    }
+    int64_t cap = (count + tasks - 1) / tasks;
+    if (cap > k) cap = k;
+    if ((uint64_t)cap > SIZE_MAX / tasks / sizeof(int64_t) ||
+        (uint64_t)count > SIZE_MAX / sizeof(int64_t) - tasks) return ray_error("oom", NULL);
+    size_t bytes = (select ? (size_t)count + tasks : (size_t)tasks * (size_t)cap) * sizeof(int64_t);
+    topk_chunks_t c = {.source = src, .rows = rows, .count = count, .k = cap,
+        .tasks = tasks, .desc = desc, .sorted = true};
+    int64_t* first = ray_alloc_raw(bytes);
+    int64_t* second = ray_alloc_raw(bytes);
+    if (!first || !second) { ray_free_raw(first); ray_free_raw(second); return ray_error("oom", NULL); }
+    c.heaps = first;
+    if (src->type == RAY_SYM) ray_sym_strings_borrow(&c.symbols.strings, &c.symbols.count);
+    ray_pool_t* pool = ray_pool_get();
+    ray_t* out = NULL;
+    int64_t *input = first, *output = second;
+    if (select) {
+        int64_t kept = topk_select_rows(&c, &input, &output, k);
+        if (kept < 0) goto cancelled;
+        ray_profile_tick("topK: selected rows");
+        c.rows = input; c.count = kept;
+        cap = (kept + tasks - 1) / tasks;
+        if (cap < 1) cap = 1;
+        c.k = cap; c.heaps = output;
+        ray_pool_dispatch_n(pool, topk_chunks_run, &c, tasks);
+        int64_t* swap = input; input = output; output = swap;
+    } else {
+        /* Work stealing balances source chunks without multiplying K-sized
+         * heaps. Each physical worker owns one heap across its claimed tasks. */
+        if (tasks == ray_pool_total_workers(pool)) {
+            c.source_tasks = tasks * 4;
+            if (c.source_tasks > RAY_POOL_INIT_TASKS / 2) c.source_tasks = RAY_POOL_INIT_TASKS / 2;
+        }
+        ray_pool_dispatch_n(pool, topk_chunks_run, &c, c.source_tasks ? c.source_tasks : tasks);
+        if (ray_interrupted() || atomic_load(&pool->cancelled)) goto cancelled;
+        ray_profile_tick("topK: scanned chunks");
+        if (c.source_tasks) ray_pool_dispatch_n(pool, topk_sort_chunks_run, &c, tasks);
+    }
+    ray_profile_tick("topK: sorted chunks");
+    int64_t offsets[RAY_POOL_INIT_TASKS], next_offsets[RAY_POOL_INIT_TASKS], next_counts[RAY_POOL_INIT_TASKS];
+    for (uint32_t t = 0; t < tasks; t++) offsets[t] = t * cap;
+    topk_merge_t merge = {.values = &c, .input = input, .output = output};
+    uint32_t runs = tasks;
+    while (runs > 1) {
+        if (ray_interrupted() || atomic_load(&pool->cancelled)) goto cancelled;
+        int64_t total = 0;
+        uint32_t pairs = (runs + 1) / 2;
+        for (uint32_t p = 0; p < pairs; p++) {
+            int64_t length = c.kept[p * 2] + (p * 2 + 1 < runs ? c.kept[p * 2 + 1] : 0);
+            next_offsets[p] = total; next_counts[p] = length < k ? length : k;
+            total += next_counts[p];
+        }
+        int64_t grain = (total + tasks - 1) / tasks;
+        if (grain < 1) grain = 1;
+        uint32_t jobs = 0;
+        for (uint32_t p = 0; p < pairs; p++) {
+            uint32_t l = p * 2, r = l + 1;
+            for (int64_t pos = 0; pos < next_counts[p]; pos += grain) {
+                merge.job[jobs].left = offsets[l]; merge.job[jobs].nl = c.kept[l];
+                merge.job[jobs].right = r < runs ? offsets[r] : 0;
+                merge.job[jobs].nr = r < runs ? c.kept[r] : 0;
+                merge.job[jobs].output = next_offsets[p]; merge.job[jobs].begin = pos;
+                merge.job[jobs++].end = pos + grain < next_counts[p] ? pos + grain : next_counts[p];
+            }
+        }
+        if (jobs) ray_pool_dispatch_n(pool, topk_merge_run, &merge, jobs);
+        ray_profile_tick("topK: merged level");
+        const int64_t* swap = merge.input; merge.input = merge.output; merge.output = (int64_t*)swap;
+        memcpy(offsets, next_offsets, pairs * sizeof(int64_t));
+        memcpy(c.kept, next_counts, pairs * sizeof(int64_t));
+        runs = pairs;
+    }
+    if (ray_interrupted() || atomic_load(&pool->cancelled)) goto cancelled;
+    out = ray_group_gather(src, merge.input, c.kept[0]);
+    ray_profile_tick("topK: gathered output");
+    goto done;
+cancelled:
+    out = ray_error("cancel", NULL);
+done:
+    ray_free_raw(first); ray_free_raw(second);
+    return out;
+}
+
+static ray_t* topk_large_group(ray_t* src, const int64_t* rows, int64_t count,
+        int64_t k, bool desc, uint32_t tasks) {
+    if (k >= 64 || k > count / tasks / 2)
+        return topk_sorted_large_group(src, rows, count, k, desc, tasks);
+    topk_chunks_t c = {.source = src, .rows = rows, .count = count, .k = k,
+        .tasks = tasks, .desc = desc, .heap_stride = ((k + 7) & ~INT64_C(7)) + 8};
+    /* Updating adjacent tiny heaps must not bounce the same cache line
+     * between workers when every incoming row improves the current winner. */
+    c.heaps = ray_alloc_raw((size_t)(tasks + 1) * (size_t)c.heap_stride * sizeof(int64_t));
+    if (!c.heaps) return ray_error("oom", NULL);
+    if (src->type == RAY_SYM) ray_sym_strings_borrow(&c.symbols.strings, &c.symbols.count);
+    ray_pool_t* pool = ray_pool_get();
+    if (tasks == ray_pool_total_workers(pool)) {
+        c.source_tasks = tasks * 4;
+        if (c.source_tasks > RAY_POOL_INIT_TASKS / 2) c.source_tasks = RAY_POOL_INIT_TASKS / 2;
+    }
+    ray_pool_dispatch_n(pool, topk_chunks_run, &c, c.source_tasks ? c.source_tasks : tasks);
+    ray_profile_tick("topK: selected chunk candidates");
+    if (ray_interrupted() || atomic_load(&pool->cancelled)) {
+        ray_free_raw(c.heaps); return ray_error("cancel", NULL);
+    }
+    int64_t* heap = c.heaps + tasks * c.heap_stride;
+    int64_t kept = 0;
+    for (uint32_t t = 0; t < tasks; t++)
+        for (int64_t i = 0; i < c.kept[t]; i++) topk_keep_row(&c, heap, &kept, c.heaps[t * c.heap_stride + i]);
+    if (kept < k)
+        for (int64_t h = kept / 2; h > 0; h--) topk_rows_sift(src, heap, kept, h - 1, desc, &c.symbols);
+    for (int64_t n = kept; n > 1; n--) {
+        int64_t swap = heap[0]; heap[0] = heap[n - 1]; heap[n - 1] = swap;
+        topk_rows_sift(src, heap, n - 1, 0, desc, &c.symbols);
+    }
+    ray_t* out = ray_group_gather(src, heap, kept);
+    ray_free_raw(c.heaps);
+    return out;
+}
+ray_t* ray_topk_per_group_buf(ray_t* src, int64_t k, uint8_t desc,
+        const int64_t* rows, const int64_t* offsets, const int64_t* counts, int64_t groups) {
+    if (!src || RAY_IS_ERR(src) || groups < 0 || k < 1) return NULL;
+    int64_t total = 0;
+    for (int64_t g = 0; g < groups; g++) total += counts[g];
+    ray_pool_t* pool = ray_pool_get();
+    if (ray_interrupted() || (pool && atomic_load(&pool->cancelled))) return ray_error("cancel", NULL);
+    if (!ray_pool_par_dispatch_ok(pool, total, 262144))
+        return topk_regular_per_group_buf(src, k, desc, rows, offsets, counts, groups);
+    /* Keep one candidate heap per available worker; source tasks can be
+     * smaller without replicating heap capacity or sorting work. */
+    uint32_t tasks = ray_pool_total_workers(pool);
+    if (tasks > RAY_POOL_INIT_TASKS / 2) tasks = RAY_POOL_INIT_TASKS / 2;
+    int64_t threshold = total / ray_pool_total_workers(pool);
+    if (threshold < 262144) threshold = 262144;
+    int64_t* regular = NULL;
+    for (int64_t g = 0; g < groups; g++) if (counts[g] >= threshold) {
+        if (!regular) {
+            regular = ray_alloc_raw((size_t)groups * sizeof(int64_t));
+            if (!regular) return ray_error("oom", NULL);
+            memcpy(regular, counts, (size_t)groups * sizeof(int64_t));
+        }
+        regular[g] = 0;
+    }
+    if (!regular) return topk_regular_per_group_buf(src, k, desc, rows, offsets, counts, groups);
+    ray_t* out = topk_regular_per_group_buf(src, k, desc, rows, offsets, regular, groups);
+    if (out && !RAY_IS_ERR(out)) {
+        ray_t** cells = ray_data(out);
+        for (int64_t g = 0; g < groups; g++) if (counts[g] && !regular[g]) {
+            ray_t* cell = topk_large_group(src, rows + offsets[g], counts[g], k, desc, tasks);
+            if (!cell || RAY_IS_ERR(cell)) { ray_release(out); out = cell; break; }
+            ray_release(cells[g]); cells[g] = cell;
+        }
+    }
+    ray_free_raw(regular);
+    return out;
+}
+
+typedef struct {
+    ray_t* src;
+    uint16_t op;
+    bool has_nulls;
+} wide_winners_t;
+static int64_t wide_winner_rows(void* raw, const int64_t* rows, int64_t count) {
+    wide_winners_t* c = raw;
+    return wide_winner_row(c->src, c->op, rows, count, c->has_nulls);
+}
+
 /* ─── ray_wide_minmax_per_group_buf ───────────────────────────────────────
  *
  * Per-group min/max/first/last for elements that cannot flow through the
@@ -3079,9 +4032,8 @@ ray_t* ray_topk_per_group_buf(ray_t* src,
  * materialises that element into a typed result column.  LIST elements retain
  * the selected boxed child into a new owning list.
  *
- * Runs SERIAL: ray_str_vec_set COW-mutates the result vector and its shared
- * string pool, so concurrent group writers would corrupt the pool.  Wide
- * min/max is a cold path, not a vectorised bench kernel, so this is fine. */
+ * Winner selection runs in parallel over immutable source columns. Result
+ * ownership and pooled string construction are handled after the barrier. */
 ray_t* ray_wide_minmax_per_group_buf(ray_t* src, uint16_t op,
                                      const int64_t* idx_buf,
                                      const int64_t* offsets,
@@ -3091,38 +4043,16 @@ ray_t* ray_wide_minmax_per_group_buf(ray_t* src, uint16_t op,
     if (!agg_needs_row_gather(src->type, op)) return NULL;  /* caller falls back */
     bool has_nulls = ray_vec_may_have_nulls(src);
 
-    ray_t* out = src->type == RAY_LIST
-        ? ray_list_new(n_groups)
-        : col_vec_new(src, n_groups);
-    if (!out || RAY_IS_ERR(out)) return out ? out : ray_error("oom", NULL);
-    /* LIST length advances with initialized child slots so every error path
-     * releases exactly the children whose ownership has been retained. */
-    out->len = src->type == RAY_LIST ? 0 : n_groups;
-
-    for (int64_t g = 0; g < n_groups; g++) {
-        int64_t cnt = grp_cnt[g];
-        int64_t off = offsets[g];
-        int64_t best = wide_winner_row(src, op, &idx_buf[off], cnt, has_nulls);
-        if (src->type == RAY_LIST) {
-            ray_t* e = best < 0 ? NULL : ((ray_t**)ray_data(src))[best];
-            if (e) ray_retain(e);
-            ((ray_t**)ray_data(out))[g] = e;
-            out->len = g + 1;
-            continue;
-        }
-        if (best < 0) { ray_vec_set_null(out, g, true); continue; }
-        int alloc;
-        ray_t* e = collection_elem(src, best, &alloc);
-        if (src->type == RAY_STR) {
-            ray_t* nv = ray_str_vec_set(out, g, ray_str_ptr(e), ray_str_len(e));
-            if (alloc) ray_release(e);
-            if (!nv || RAY_IS_ERR(nv)) { if (nv != out) ray_release(out); return nv ? nv : ray_error("oom", NULL); }
-            out = nv;
-        } else {  /* RAY_GUID — fixed 16-byte in-place store */
-            store_typed_elem(out, g, e);
-            if (alloc) ray_release(e);
-        }
+    int64_t* winners = ray_alloc_raw((size_t)(n_groups ? n_groups : 1) * sizeof(int64_t));
+    if (!winners) return ray_error("oom", NULL);
+    wide_winners_t work = {src, op, has_nulls};
+    ray_group_winners(wide_winner_rows, &work, idx_buf, offsets, grp_cnt, n_groups, winners);
+    ray_pool_t* pool = ray_pool_get();
+    if (ray_interrupted() || (pool && atomic_load_explicit(&pool->cancelled, memory_order_relaxed))) {
+        ray_free_raw(winners); return ray_error("cancel", NULL);
     }
+    ray_t* out = ray_group_gather(src, winners, n_groups);
+    ray_free_raw(winners);
     return out;
 }
 
diff --git a/src/ops/internal.h b/src/ops/internal.h
index 108371e0..a2561e8a 100644
--- a/src/ops/internal.h
+++ b/src/ops/internal.h
@@ -46,6 +46,21 @@
 #include "vec/vec.h"
 #include <string.h>
 #include <math.h>
+
+/* Borrow only while the symbol table stays read-only through the dispatch
+ * barrier. Workers compare or copy source-domain codes without interning.
+ * File-domain lookup keeps its own publication/lifetime contract. */
+typedef struct {
+    ray_t** strings;
+    uint32_t count;
+} ray_group_sym_view_t;
+static inline ray_t* ray_group_sym_read(const ray_group_sym_view_t* view, struct ray_sym_domain_s* domain, int64_t id) {
+    if (domain == ray_sym_runtime_domain())
+        return id >= 0 && (uint64_t)id < view->count ? view->strings[id] : NULL;
+    return ray_sym_domain_str(domain, id);
+}
+
+
 #include <stdio.h>
 #include <stdlib.h>
 #include <float.h>
@@ -1737,4 +1752,16 @@ static inline int64_t canon_f64_key(double v) {
     return k;
 }
 
+/* Dispatch contiguous group slices by their row counts. */
+void ray_group_dispatch(ray_pool_fn fn, void* context, const int64_t* counts, int64_t groups);
+
+/* Associative winner reductions over stable source-row slices. The callback
+ * also merges two non-null partial winners, in original slice order. */
+typedef int64_t (*ray_group_winner_fn)(void* context, const int64_t* rows, int64_t count);
+void ray_group_winners(ray_group_winner_fn fn, void* context, const int64_t* rows,
+    const int64_t* offsets, const int64_t* counts, int64_t groups, int64_t* winners);
+
+/* Gather winning group rows, retaining source domains and native types. */
+ray_t* ray_group_gather(ray_t* column, const int64_t* rows, int64_t count);
+
 #endif /* RAY_EXEC_INTERNAL_H */
diff --git a/src/ops/query.c b/src/ops/query.c
index 6196d599..f7b1b4b0 100644
--- a/src/ops/query.c
+++ b/src/ops/query.c
@@ -3208,6 +3208,34 @@ static ray_t* eval_expr_whole_column(ray_t* expr, ray_t* tbl) {
  * result into a pre-sized typed vec.  Mirrors the eval-fallback's AGG
  * branch (`query.c:~1955`) but with the idx_buf+offsets+grp_cnt
  * layout the DAG path produces. */
+/* Infer an empty grouped column from the aggregate's empty-input result.
+ * Preserve source domains/widths when the result has the source element type. */
+static ray_t* empty_unary_group_result(ray_unary_fn fn, ray_t* source) {
+    if (!source) return ray_error("domain", "aggregation source missing");
+    ray_t* input = ray_group_gather(source, NULL, 0);
+    if (!input || RAY_IS_ERR(input)) return input ? input : ray_error("oom", NULL);
+    ray_t* value = fn(input);
+    if (value && !RAY_IS_ERR(value) && ray_is_lazy(value)) value = ray_lazy_materialize(value);
+    if (!value || RAY_IS_ERR(value)) {
+        ray_release(input);
+        if (!value) return ray_error("oom", NULL);
+        /* No group invokes this aggregate. An empty-input domain/type error
+         * only means its result type cannot be inferred; preserve the former
+         * empty LIST result. Resource failures still abort the query. */
+        const char* code = ray_err_code(value);
+        if (strcmp(code, "domain") && strcmp(code, "type")) return value;
+        ray_release(value);
+        ray_t* out = ray_list_new(0);
+        return out ? out : ray_error("oom", NULL);
+    }
+    ray_t* out;
+    if (ray_is_atom(value) && -value->type == input->type) {
+        out = input; input = NULL;
+    } else out = ray_is_atom(value) ? ray_vec_new(-value->type, 0) : ray_list_new(0);
+    ray_release(input); ray_release(value);
+    return out ? out : ray_error("oom", NULL);
+}
+
 static ray_t* aggr_unary_per_group_buf(ray_t* expr, ray_t* tbl,
                                        const int64_t* idx_buf,
                                        const int64_t* offsets,
@@ -3248,6 +3276,11 @@ static ray_t* aggr_unary_per_group_buf(ray_t* expr, ray_t* tbl,
         }
     }
 
+    if (n_groups == 0) {
+        ray_t* out = empty_unary_group_result(uf, src);
+        ray_release(src); return out;
+    }
+
     /* Reusable I64 idx wrapper. */
     int64_t max_cnt = 0;
     for (int64_t gi = 0; gi < n_groups; gi++)
@@ -3599,10 +3632,8 @@ static ray_t* query_materialize_parted_col(ray_t* col) {
  *
  * Returns NULL on shape miss (caller falls through to the existing
  * count-distinct path); returns a result table on success.  Gates:
- *  - single scalar K column (not SYM, no nulls)
- *  - cd_inner is a column ref X (not SYM, no nulls) — composite key
- *    fits in 16 bytes (v2's wide-key cap)
- *  - K + X ≤ 16 bytes packed
+ *  - plain K and X columns with supported grouping key types
+ *  - at most 15 K columns, leaving one component for X
  *  - WHERE optional; if present, must be supported by the fused predicate
  *  - desc/take optional, must be on the cd output column when present */
 static ray_t* try_count_distinct_v2_rewrite(
@@ -3709,10 +3740,9 @@ static ray_t* try_count_distinct_v2_rewrite(
     if (asc_col_sym  >= 0 && asc_col_sym  != cd_c_sym) return NULL;
     if (desc_col_sym >= 0 && asc_col_sym  >= 0) return NULL;
 
-    /* Type checks on every K column and on X.  Composite must fit in
-     * the mk_compile 16-byte budget (sum of K storage widths + X). */
+    /* General grouping retains full keys when a tuple does not fit the
+     * packed kernel. Its byte-width limit must not restrict this rewrite. */
     ray_t* K_cols[15];
-    int K_esz_total = 0;
     for (int j = 0; j < n_K; j++) {
         K_cols[j] = ray_table_get_col(tbl, K_syms[j]);
         if (!K_cols[j]) return NULL;
@@ -3720,22 +3750,21 @@ static ray_t* try_count_distinct_v2_rewrite(
         if (RAY_IS_PARTED(kct_j) || kct_j == RAY_MAPCOMMON) return NULL;
         int kct_ok_j = (kct_j == RAY_SYM  || kct_j == RAY_BOOL || kct_j == RAY_U8 ||
                         kct_j == RAY_I16  || kct_j == RAY_I32  || kct_j == RAY_I64 ||
-                        kct_j == RAY_DATE || kct_j == RAY_TIME || kct_j == RAY_TIMESTAMP || kct_j == RAY_F32 || kct_j == RAY_F64);
+                        kct_j == RAY_DATE || kct_j == RAY_TIME || kct_j == RAY_TIMESTAMP || kct_j == RAY_F32 || kct_j == RAY_F64 ||
+                        kct_j == RAY_STR || kct_j == RAY_GUID || kct_j == RAY_LIST);
         if (!kct_ok_j) return NULL;
-        K_esz_total += ray_sym_elem_size(kct_j, K_cols[j]->attrs);
     }
     ray_t* X_col = ray_table_get_col(tbl, cd_X_sym);
     if (!X_col) return NULL;
     int8_t xct = X_col->type;
     if (RAY_IS_PARTED(xct) || xct == RAY_MAPCOMMON) return NULL;
-    int X_esz = ray_sym_elem_size(xct, X_col->attrs);
-    if (K_esz_total + X_esz > 16) return NULL;
     /* X gets the same per-type acceptability check as the K columns
      * (validated in the loop above).  SYM is allowed — mk_compile packs
      * it by storage width into the composite key. */
     int xct_ok = (xct == RAY_SYM  || xct == RAY_BOOL || xct == RAY_U8 ||
                   xct == RAY_I16  || xct == RAY_I32  || xct == RAY_I64 ||
-                  xct == RAY_DATE || xct == RAY_TIME || xct == RAY_TIMESTAMP || xct == RAY_F32 || xct == RAY_F64);
+                  xct == RAY_DATE || xct == RAY_TIME || xct == RAY_TIMESTAMP || xct == RAY_F32 || xct == RAY_F64 ||
+                  xct == RAY_STR || xct == RAY_GUID || xct == RAY_LIST);
     if (!xct_ok) return NULL;
 
     if (where_expr && !ray_fused_group_supported(where_expr, tbl))
@@ -3966,6 +3995,12 @@ static ray_t* count_distinct_per_group_buf(ray_t* inner_expr, ray_t* tbl,
         if (!src || RAY_IS_ERR(src)) return src ? src : ray_error("oom", NULL);
     }
 
+    if (src->type == RAY_STR || src->type == RAY_GUID || src->type == RAY_LIST) {
+        ray_t* wide = agg_count_distinct_indexed(src, idx_buf, offsets, grp_cnt, n_groups);
+        ray_release(src);
+        return wide;
+    }
+
     ray_t* out = ray_vec_new(RAY_I64, n_groups);
     if (!out || RAY_IS_ERR(out)) {
         ray_release(src);
@@ -4021,7 +4056,7 @@ static ray_t* count_distinct_per_group_buf(ray_t* inner_expr, ray_t* tbl,
                 .sym_cap_bound = sym_cap_bound,
                 .oom       = 0,
             };
-            ray_pool_dispatch_n(pool, cdpg_buf_par_fn, &pctx, (uint32_t)n_groups);
+            ray_group_dispatch(cdpg_buf_par_fn, &pctx, grp_cnt, n_groups);
             if (!atomic_load_explicit(&pctx.oom, memory_order_relaxed)) {
                 ray_release(src);
                 return out;
@@ -8205,7 +8240,7 @@ ray_t* ray_select(ray_t** args, int64_t n) {
                     /* Key column first */
                     { ray_t* sc = ray_table_get_col(eval_tbl, by_key_sym);
                       if (sc) {
-                        ray_t* ev = ray_vec_new(sc->type, 0);
+                        ray_t* ev = ray_group_gather(sc, NULL, 0);
                         if (ev && !RAY_IS_ERR(ev)) { empty = ray_table_add_col(empty, by_key_sym, ev); ray_release(ev); }
                       }
                     }
@@ -8298,12 +8333,27 @@ ray_t* ray_select(ray_t** args, int64_t n) {
                     /* For each group, compute aggregation */
                     ray_t* agg_vec = NULL;
                     ray_t** grp_items = (ray_t**)ray_data(groups);
+                    if (n_groups == 0) {
+                        ray_t* fn_obj = ray_env_get(agg_fn_name->i64);
+                        agg_vec = fn_obj && fn_obj->type == RAY_UNARY
+                            ? empty_unary_group_result((ray_unary_fn)(uintptr_t)fn_obj->i64, src_col_val)
+                            : ray_error("type", "aggregate must be a unary function");
+                        if (!agg_vec || RAY_IS_ERR(agg_vec)) {
+                            ray_release(src_col_val);
+                            for (int ai = 0; ai < n_agg_out; ai++) ray_release(agg_results[ai]);
+                            scratch_free(aggnames_hdr); scratch_free(aggres_hdr);
+                            ray_release(groups); if (eval_tbl != tbl) ray_release(eval_tbl); ray_release(tbl);
+                            scratch_free(sel_slots_hdr); DICT_VIEW_CLOSE(dv);
+                            return agg_vec ? agg_vec : ray_error("oom", NULL);
+                        }
+                    }
+
 
                     /* Median fast path — flatten `groups` into
                      * (idx_buf, offsets, grp_cnt) then call the parallel
                      * ray_median_per_group_buf kernel.  See twin site
                      * above for the design rationale. */
-                    if (is_med_call(val_expr_item)) {
+                    if (n_groups > 0 && is_med_call(val_expr_item)) {
                         ray_t* ix_hdr = NULL;
                         ray_t* off_hdr = NULL;
                         ray_t* cnt_hdr = NULL;
@@ -8503,6 +8553,10 @@ ray_t* ray_select(ray_t** args, int64_t n) {
                         size_t slen = ray_str_len(k);
                         key_vec = ray_str_vec_append(key_vec, sp ? sp : "", sp ? slen : 0);
                     }
+                } else if (ktype == RAY_LIST) {
+                    key_vec = ray_list_new(n_groups);
+                    for (int64_t gi = 0; gi < n_groups && key_vec && !RAY_IS_ERR(key_vec); gi++)
+                        key_vec = ray_list_append(key_vec, grp_items[gi * 2]);
                 } else {
                     uint8_t kattrs = key_col_src ? key_col_src->attrs : 0;
                     if (ktype == RAY_SYM)
@@ -9168,9 +9222,7 @@ ray_t* ray_select(ray_t** args, int64_t n) {
                     if (key_sym >= 0) {
                         ray_t* sc = ray_table_get_col(filtered_tbl, key_sym);
                         if (sc) {
-                            empty_key_vec = (sc->type == RAY_STR)
-                                            ? ray_vec_new(RAY_STR, 0)
-                                            : ray_vec_new(sc->type, 0);
+                            empty_key_vec = ray_group_gather(sc, NULL, 0);
                         }
                     } else {
                         /* Match the computed-key fallback's naming
@@ -10873,6 +10925,14 @@ ray_t* ray_select(ray_t** args, int64_t n) {
                                             cd_inner->type == -RAY_SYM &&
                                             !(cd_inner->attrs & ATTR_QUOTED) &&
                                             n_groups > 50000);
+                    if (simple_cd_global) {
+                        ray_t* source = ray_table_get_col(tbl, cd_inner->i64);
+                        int8_t type = source ? source->type : 0;
+                        simple_cd_global = type == RAY_BOOL || type == RAY_U8 ||
+                            type == RAY_I16 || type == RAY_I32 || type == RAY_I64 ||
+                            type == RAY_F32 || type == RAY_F64 || type == RAY_DATE ||
+                            type == RAY_TIME || type == RAY_TIMESTAMP || type == RAY_SYM;
+                    }
                     if (!simple_cd_global) needs_slice_idx = 1;
                 }
 
@@ -11222,11 +11282,13 @@ ray_t* ray_select(ray_t** args, int64_t n) {
                 }
                 #undef RELEASE_SCAN_KEY
             } else {
-                /* Empty group set: add empty LIST columns so the
-                 * output schema still includes the user-declared
-                 * non-agg columns. */
+                /* Empty grouped aggregates retain their result type;
+                 * ordinary row expressions produce per-group LIST cells. */
                 for (int64_t ni = 0; ni < n_nonaggs; ni++) {
-                    ray_t* empty_list = ray_list_new(0);
+                    ray_t* expr = nonagg_exprs[ni];
+                    ray_t* empty_list = match_count_distinct(expr) ? ray_vec_new(RAY_I64, 0)
+                        : is_streaming_aggr_unary_call(expr) ? aggr_unary_per_group_buf(expr, tbl, NULL, NULL, NULL, 0)
+                        : can_atom_broadcast(expr) ? atom_broadcast_vec(expr, 0) : ray_list_new(0);
                     if (!empty_list || RAY_IS_ERR(empty_list)) {
                         ray_release(result); ray_release(tbl);
                         scratch_free(sel_slots_hdr); DICT_VIEW_CLOSE(dv); return empty_list ? empty_list : ray_error("oom", NULL);
diff --git a/src/ops/sort.c b/src/ops/sort.c
index daed7243..247cc5e3 100644
--- a/src/ops/sort.c
+++ b/src/ops/sort.c
@@ -674,7 +674,10 @@ static void packed_detect_fn(void* arg, uint32_t wid,
     uint8_t kb = c->key_bits;
     uint64_t km = c->key_mask;
     int64_t unsorted = 0, not_rev = 0;
-    uint64_t prev = (start > 0) ? (k[start - 1] & km) : 0;
+    /* Only compare within this task while keys are packed in place. The
+     * coordinator checks cross-task pairs after dispatch has joined. Reading
+     * k[start - 1] here would race with the preceding task's packed store. */
+    uint64_t prev = 0;
     for (int64_t i = start; i < end; i++) {
         uint64_t cur = k[i] & km;  /* mask to significant bytes */
         if (i > start) {
@@ -3930,12 +3933,13 @@ ray_t* ray_rank_fn(ray_t* x) {
 /* Pool worker for the already-in-order detection scan: each task verifies
  * consecutive-row order over [start,end) INCLUDING the (start-1,start)
  * boundary pair, so chunk edges are covered.  The shared flag only ever
- * transitions 1 -> 0 (benign race) and doubles as a bail signal. */
+ * transitions 1 -> 0 atomically and doubles as a bail signal. No payload is
+ * published through it; the dispatch barrier joins all tasks before return. */
 typedef struct {
     ray_t**  key_cols;
     int64_t  n_keys;
     uint8_t  descending;
-    volatile int* ordered;
+    _Atomic int* ordered;
 } sorted_check_ctx_t;
 
 static void sorted_check_fn(void* raw, uint32_t wid, int64_t start, int64_t end) {
@@ -3945,7 +3949,7 @@ static void sorted_check_fn(void* raw, uint32_t wid, int64_t start, int64_t end)
 
     /* Specialized (SYM, i64-family) two-key loop — the canonical
      * (sym, time) shape.  The generic loop below pays a type-switch per
-     * read and a volatile flag load per row; here adjacent sym ids
+     * read and an atomic flag load per row; here adjacent sym ids
      * compare directly (equal ids on ~all rows of a sorted table — the
      * string comparison only runs at run boundaries), the secondary key
      * reads raw i64, and the bail flag is polled per 4096-row block.
@@ -3967,13 +3971,13 @@ static void sorted_check_fn(void* raw, uint32_t wid, int64_t start, int64_t end)
         const int64_t* restrict tv = (const int64_t*)ray_data(c->key_cols[1]);
         struct ray_sym_domain_s* dom = ray_sym_vec_domain(sc);
         for (int64_t b = start; b < end; b += 4096) {
-            if (!*c->ordered) return;
+            if (!atomic_load_explicit(c->ordered, memory_order_relaxed)) return;
             int64_t e = b + 4096 < end ? b + 4096 : end;
             for (int64_t i = b; i < e; i++) {
                 int64_t ia = ray_read_sym(sd, i - 1, RAY_SYM, sattrs);
                 int64_t ib = ray_read_sym(sd, i,     RAY_SYM, sattrs);
                 if (RAY_LIKELY(ia == ib)) {
-                    if (tv[i] < tv[i - 1]) { *c->ordered = 0; return; }
+                    if (tv[i] < tv[i - 1]) { atomic_store_explicit(c->ordered, 0, memory_order_relaxed); return; }
                 } else {
                     ray_t* sa = ray_sym_domain_str(dom, ia);
                     ray_t* sb = ray_sym_domain_str(dom, ib);
@@ -3982,7 +3986,7 @@ static void sorted_check_fn(void* raw, uint32_t wid, int64_t start, int64_t end)
                     uint32_t ml = la < lb ? la : lb;
                     int cmp = ml ? memcmp(ray_str_ptr(sa), ray_str_ptr(sb), ml) : 0;
                     if (cmp == 0) cmp = (la > lb) - (la < lb);
-                    if (cmp > 0) { *c->ordered = 0; return; }
+                    if (cmp > 0) { atomic_store_explicit(c->ordered, 0, memory_order_relaxed); return; }
                 }
             }
         }
@@ -3990,7 +3994,7 @@ static void sorted_check_fn(void* raw, uint32_t wid, int64_t start, int64_t end)
     }
 
     for (int64_t i = start; i < end; i++) {
-        if (!*c->ordered) return;   /* another task already found a violation */
+        if (!atomic_load_explicit(c->ordered, memory_order_relaxed)) return;   /* another task already found a violation */
         int cmp = 0;
         for (int64_t k = 0; k < c->n_keys && cmp == 0; k++) {
             ray_t* col = c->key_cols[k];
@@ -4013,7 +4017,7 @@ static void sorted_check_fn(void* raw, uint32_t wid, int64_t start, int64_t end)
                 cmp = (va > vb) - (va < vb);
             }
         }
-        if (c->descending ? (cmp < 0) : (cmp > 0)) { *c->ordered = 0; return; }
+        if (c->descending ? (cmp < 0) : (cmp > 0)) { atomic_store_explicit(c->ordered, 0, memory_order_relaxed); return; }
     }
 }
 
@@ -4057,7 +4061,7 @@ bool ray_key_cols_sorted(ray_t** key_cols, int64_t n_keys, uint8_t descending,
             return false;
     }
     if (nrows < 2) return true;
-    volatile int ordered = 1;
+    _Atomic int ordered = 1;
     sorted_check_ctx_t sctx = {
         .key_cols = key_cols, .n_keys = n_keys,
         .descending = descending, .ordered = &ordered,
@@ -4067,7 +4071,7 @@ bool ray_key_cols_sorted(ray_t** key_cols, int64_t n_keys, uint8_t descending,
         ray_pool_dispatch(pool, sorted_check_fn, &sctx, nrows);
     else
         sorted_check_fn(&sctx, 0, 1, nrows);
-    return ordered != 0;
+    return atomic_load_explicit(&ordered, memory_order_relaxed) != 0;
 }
 
 static bool sort_part_key_type(int8_t t) {
@@ -4225,7 +4229,7 @@ ray_t* sort_table_by_keys(ray_t* tbl, ray_t* keys, uint8_t descending) {
                 detectable = false;
         }
         if (detectable) {
-            volatile int ordered = 1;
+            _Atomic int ordered = 1;
             sorted_check_ctx_t sctx = {
                 .key_cols = key_cols, .n_keys = n_keys,
                 .descending = descending, .ordered = &ordered,
@@ -4235,7 +4239,7 @@ ray_t* sort_table_by_keys(ray_t* tbl, ray_t* keys, uint8_t descending) {
                 ray_pool_dispatch(pool, sorted_check_fn, &sctx, nrows);
             else
                 sorted_check_fn(&sctx, 0, 1, nrows);
-            if (ordered) {
+            if (atomic_load_explicit(&ordered, memory_order_relaxed)) {
                 ray_t* out = (descending || n_keys <= 1) ? NULL
                     : sort_stamp_ordered_table(tbl, key_ids[0], key_cols[0],
                                                n_keys > 1 ? key_ids[1] : -1);
diff --git a/src/vec/vec.c b/src/vec/vec.c
index e7f12f6f..f5be8d98 100644
--- a/src/vec/vec.c
+++ b/src/vec/vec.c
@@ -385,7 +385,7 @@ ray_t* ray_vec_set(ray_t* vec, int64_t idx, const void* elem) {
  * dead inline copy in every TU that includes the public header. */
 void* ray_data_slice_path(ray_t* v) {
     return (char*)v->slice_parent->data
-           + v->slice_offset * ray_type_sizes[(uint8_t)v->type];
+           + v->slice_offset * ray_sym_elem_size(v->type, v->attrs);
 }
 
 void* ray_vec_get(ray_t* vec, int64_t idx) {
diff --git a/test/rfl/group/empty_aggregate_columns.rfl b/test/rfl/group/empty_aggregate_columns.rfl
new file mode 100644
index 00000000..bf254fe9
--- /dev/null
+++ b/test/rfl/group/empty_aggregate_columns.rfl
@@ -0,0 +1,35 @@
+;; No output groups: retain known result types across mixed query routes.
+(set t (table [k v] (list ["a" "b"] (as 'TIME [1 2]))))
+(set z (select {from:t by:k where:(== k "missing") s:(sum v) m:(med v) n:(count (distinct v)) f:(first v)}))
+(count z) -- 0
+(type (at z 'k)) -- 'STR
+(type (at z 's)) -- 'TIME
+(type (at z 'm)) -- 'F64
+(type (at z 'n)) -- 'I64
+(type (at z 'f)) -- 'TIME
+(set e (table [k v] (list (as 'I64 []) (as 'TIME []))))
+(set z (select {from:e by:k m:(med v) d:(dev v) a:(avg v)}))
+(count z) -- 0
+(type (at z 'm)) -- 'F64
+(type (at z 'd)) -- 'F64
+(type (at z 'a)) -- 'F64
+
+;; Aliases take the generic unary route. Empty LIST aggregates reject direct
+;; invocation, but zero groups must not invoke an aggregate semantically.
+(set empty_avg avg)
+(set empty_min min)
+(set empty_max max)
+(set t (table [k v] (list ["a" "b"] (list [1 2] [3 4]))))
+(set z (select {from:t by:k where:(== k "missing") a:(empty_avg v) lo:(empty_min v) hi:(empty_max v)}))
+(count z) -- 0
+(type (at z 'a)) -- 'LIST
+(type (at z 'lo)) -- 'LIST
+(type (at z 'hi)) -- 'LIST
+(set z (select {from:t by:k where:(== k "missing") c:(count k) a:(empty_avg v)}))
+(count z) -- 0
+(type (at z 'a)) -- 'LIST
+;; Inference still succeeds for an alias with a typed source.
+(set empty_med med)
+(set t (table [k v] (list [1 2] (as 'TIME [1 2]))))
+(set z (select {from:t by:k where:(< k 0) m:(empty_med v)}))
+(type (at z 'm)) -- 'F64
diff --git a/test/rfl/group/radix_key_emit_parallel.rfl b/test/rfl/group/radix_key_emit_parallel.rfl
index 8056f458..6e37ae7e 100644
--- a/test/rfl/group/radix_key_emit_parallel.rfl
+++ b/test/rfl/group/radix_key_emit_parallel.rfl
@@ -12,9 +12,12 @@
 ;;   1. WIDE-SYM  — 200k singleton groups on a W32 SYM key: the widest
 ;;      emit shape (and the one the 100M q13 profile is about).  200k is
 ;;      enough to clear the dispatch threshold AND still land W32 SYM;
-;;      every group is a singleton in til() order, so the emitted key
-;;      column must equal the SOURCE column element-for-element — a
-;;      per-row oracle, not a spot check.
+;;      the original single-key fixture also covers dense admission. An
+;;      additional alternating second key exceeds the input row domain and
+;;      preserves radix coverage as dense memory admission improves.
+;;      Every group is a singleton. After normalizing the single-key
+;;      result by its unique numeric row value, its key column must equal
+;;      the SOURCE element-for-element — a per-row oracle, not a spot check.
 ;;   2. WIDE-KEY  — 17 keys of MIXED width (I64/I32/I16/U8/BOOL/DATE/
 ;;      TIME/TIMESTAMP/SYM + I64 constants) at 100k groups.  Two things
 ;;      at once: the packed-key stride (a per-column index error shows up
@@ -41,12 +44,24 @@
 (set KS (as 'SYM (til NS)))
 (set TS (table [k v] (list KS (til NS))))
 (set RS (select {c: (count v) s: (sum v) from: TS by: k}))
+;; Group output order is unspecified. Normalize AFTER the original query,
+;; using its unique numeric row value, then verify every source key and value.
+;; This does not change the query plan or hide a wrong key/value association.
+(set RS (xasc RS 's))
 (count RS) -- 200000
-;; singleton groups in first-seen order => the key column IS the source column
 (all (== (at RS 'k) KS)) -- true
 (all (== (at RS 'c) (+ 1 (* 0 (til NS))))) -- true
 (all (== (at RS 's) (til NS))) -- true
 
+;; Additional radix shape; keep the original single-key oracle above.
+(set TSR (table [k v tag] (list KS (til NS) (% (til NS) 2))))
+(set RSR (select {c: (count v) s: (sum v) from: TSR by: {k:k tag:tag}}))
+(count RSR) -- 200000
+(all (== (at RSR 'k) KS)) -- true
+(all (== (at RSR 'tag) (% (til NS) 2))) -- true
+(all (== (at RSR 'c) (+ 1 (* 0 (til NS))))) -- true
+(all (== (at RSR 's) (til NS))) -- true
+
 ;; ---------- 2. seventeen keys, mixed widths, 100k groups ----------
 (set N 100000)
 (set K0 (til N))
diff --git a/test/rfl/group/wide_count_distinct.rfl b/test/rfl/group/wide_count_distinct.rfl
new file mode 100644
index 00000000..ecbea9cf
--- /dev/null
+++ b/test/rfl/group/wide_count_distinct.rfl
@@ -0,0 +1,138 @@
+;; Full-value equality must survive the count-distinct query rewrite.
+;; Every four rows contain (A,x), (A,y), (B,x), (B,x).
+;; The vocabulary differs only after a long shared prefix.
+(set r (til 131072))
+(set ki (at [0 0 1 1] (% r 4)))
+(set vi (at [0 1 0 0] (% r 4)))
+
+;; STR keys, STR values: pure rewrite, mixed aggregation, and selection.
+(set keys ["same sixteen byte prefix alpha" "same sixteen byte prefix omega"])
+(set vals ["same sixteen byte prefix alpha" "same sixteen byte prefix omega"])
+(set t (table [k v i] (list (at keys ki) (at vals vi) r)))
+(set result (select {from:t by:k n:(count (distinct v))}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(set result (select {from:t by:k n:(count (distinct v)) c:(count i)}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(at result 'c) -- [65536 65536]
+(at (select {from:t by:k n:(count (distinct v)) where:(!= (% i 4) 1)}) 'n) -- [1 1]
+
+;; STR keys, GUID values: pure rewrite, mixed aggregation, and selection.
+(set keys ["same sixteen byte prefix alpha" "same sixteen byte prefix omega"])
+(set vals (as 'GUID (list "00000000-0000-0000-0000-000000000001" "00000000-0000-0000-0000-000000000002")))
+(set t (table [k v i] (list (at keys ki) (at vals vi) r)))
+(set result (select {from:t by:k n:(count (distinct v))}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(set result (select {from:t by:k n:(count (distinct v)) c:(count i)}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(at result 'c) -- [65536 65536]
+(at (select {from:t by:k n:(count (distinct v)) where:(!= (% i 4) 1)}) 'n) -- [1 1]
+
+;; STR keys, LIST values: pure rewrite, mixed aggregation, and selection.
+(set keys ["same sixteen byte prefix alpha" "same sixteen byte prefix omega"])
+(set vals (list [11 22 33 44 55] [11 22 33 44 66]))
+(set t (table [k v i] (list (at keys ki) (at vals vi) r)))
+(set result (select {from:t by:k n:(count (distinct v))}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(set result (select {from:t by:k n:(count (distinct v)) c:(count i)}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(at result 'c) -- [65536 65536]
+(at (select {from:t by:k n:(count (distinct v)) where:(!= (% i 4) 1)}) 'n) -- [1 1]
+
+;; GUID keys, STR values: pure rewrite, mixed aggregation, and selection.
+(set keys (as 'GUID (list "00000000-0000-0000-0000-000000000001" "00000000-0000-0000-0000-000000000002")))
+(set vals ["same sixteen byte prefix alpha" "same sixteen byte prefix omega"])
+(set t (table [k v i] (list (at keys ki) (at vals vi) r)))
+(set result (select {from:t by:k n:(count (distinct v))}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(set result (select {from:t by:k n:(count (distinct v)) c:(count i)}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(at result 'c) -- [65536 65536]
+(at (select {from:t by:k n:(count (distinct v)) where:(!= (% i 4) 1)}) 'n) -- [1 1]
+
+;; GUID keys, GUID values: pure rewrite, mixed aggregation, and selection.
+(set keys (as 'GUID (list "00000000-0000-0000-0000-000000000001" "00000000-0000-0000-0000-000000000002")))
+(set vals (as 'GUID (list "00000000-0000-0000-0000-000000000001" "00000000-0000-0000-0000-000000000002")))
+(set t (table [k v i] (list (at keys ki) (at vals vi) r)))
+(set result (select {from:t by:k n:(count (distinct v))}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(set result (select {from:t by:k n:(count (distinct v)) c:(count i)}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(at result 'c) -- [65536 65536]
+(at (select {from:t by:k n:(count (distinct v)) where:(!= (% i 4) 1)}) 'n) -- [1 1]
+
+;; GUID keys, LIST values: pure rewrite, mixed aggregation, and selection.
+(set keys (as 'GUID (list "00000000-0000-0000-0000-000000000001" "00000000-0000-0000-0000-000000000002")))
+(set vals (list [11 22 33 44 55] [11 22 33 44 66]))
+(set t (table [k v i] (list (at keys ki) (at vals vi) r)))
+(set result (select {from:t by:k n:(count (distinct v))}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(set result (select {from:t by:k n:(count (distinct v)) c:(count i)}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(at result 'c) -- [65536 65536]
+(at (select {from:t by:k n:(count (distinct v)) where:(!= (% i 4) 1)}) 'n) -- [1 1]
+
+;; LIST keys, STR values: pure rewrite, mixed aggregation, and selection.
+(set keys (list [11 22 33 44 55] [11 22 33 44 66]))
+(set vals ["same sixteen byte prefix alpha" "same sixteen byte prefix omega"])
+(set t (table [k v i] (list (at keys ki) (at vals vi) r)))
+(set result (select {from:t by:k n:(count (distinct v))}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(set result (select {from:t by:k n:(count (distinct v)) c:(count i)}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(at result 'c) -- [65536 65536]
+(at (select {from:t by:k n:(count (distinct v)) where:(!= (% i 4) 1)}) 'n) -- [1 1]
+
+;; LIST keys, GUID values: pure rewrite, mixed aggregation, and selection.
+(set keys (list [11 22 33 44 55] [11 22 33 44 66]))
+(set vals (as 'GUID (list "00000000-0000-0000-0000-000000000001" "00000000-0000-0000-0000-000000000002")))
+(set t (table [k v i] (list (at keys ki) (at vals vi) r)))
+(set result (select {from:t by:k n:(count (distinct v))}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(set result (select {from:t by:k n:(count (distinct v)) c:(count i)}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(at result 'c) -- [65536 65536]
+(at (select {from:t by:k n:(count (distinct v)) where:(!= (% i 4) 1)}) 'n) -- [1 1]
+
+;; LIST keys, LIST values: pure rewrite, mixed aggregation, and selection.
+(set keys (list [11 22 33 44 55] [11 22 33 44 66]))
+(set vals (list [11 22 33 44 55] [11 22 33 44 66]))
+(set t (table [k v i] (list (at keys ki) (at vals vi) r)))
+(set result (select {from:t by:k n:(count (distinct v))}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(set result (select {from:t by:k n:(count (distinct v)) c:(count i)}))
+(at result 'k) -- keys
+(at result 'n) -- [2 1]
+(at result 'c) -- [65536 65536]
+(at (select {from:t by:k n:(count (distinct v)) where:(!= (% i 4) 1)}) 'n) -- [1 1]
+
+;; Two GUID fields plus a STR field exceed the former 16-byte key budget.
+;; The second GUID distinguishes keys whose first field is identical.
+(set ga (as 'GUID (list "11111111-1111-1111-1111-111111111111")))
+(set gb (as 'GUID (list "22222222-2222-2222-2222-222222222221" "22222222-2222-2222-2222-222222222222")))
+(set t (table [a b c v i] (list (at ga (* 0 r)) (at gb ki) (at ["common wide key"] (* 0 r)) (at ["identical prefix value a" "identical prefix value b"] vi) r)))
+(set result (select {from:t by:{a:a b:b c:c} n:(count (distinct v))}))
+(at result 'a) -- (at ga [0 0])
+(at result 'b) -- gb
+(at result 'c) -- ["common wide key" "common wide key"]
+(at result 'n) -- [2 1]
+(set result (select {from:t by:{a:a b:b c:c} n:(count (distinct v)) crows:(count i)}))
+(at result 'b) -- gb
+(at result 'n) -- [2 1]
+(at result 'crows) -- [65536 65536]
diff --git a/test/test_agg_contract.c b/test/test_agg_contract.c
index 9e6a026b..fd05bf3d 100644
--- a/test/test_agg_contract.c
+++ b/test/test_agg_contract.c
@@ -6,9 +6,12 @@
 #include "ops/agg_engine.h"
 #include "ops/agg_registry.h"
 #include "core/pool.h"
+#include "mem/heap.h"
 #include "ops/fused_pred.h"
 #include "ops/cdfuse.h"
+#include "ops/internal.h"
 #include "lang/internal.h"
+#include "lang/env.h"
 #include <math.h>
 
 static ray_runtime_t* contract_runtime;
@@ -139,6 +142,77 @@ static test_result_t test_unary_contracts(void) {
     PASS();
 }
 
+/* Exercise the direct serial emitter against scalar language semantics,
+ * including states with no rows, no live rows, and wrapped/null results. */
+static test_result_t test_native_streaming_output(void) {
+    const uint16_t ops[] = { OP_COUNT, OP_SUM, OP_AVG, OP_MIN, OP_MAX, OP_FIRST,
+        OP_LAST, OP_PROD, OP_VAR, OP_VAR_POP, OP_STDDEV, OP_STDDEV_POP, OP_ALL, OP_ANY, OP_MEDIAN };
+    const uint32_t gids[] = { 0, 0, 1, 1 };
+    for (size_t t = 0; t < 10; t++) {
+        int8_t type = unary_contracts[t].input;
+        for (int shape = 0; shape < 3; shape++) {
+            ray_t* v = contract_fixture(type);
+            if (shape == 1 && type != RAY_BOOL && type != RAY_U8) {
+                for (int i = 0; i < 4; i++) ray_vec_set_null(v, i, true);
+            } else if (shape == 2) {
+                if (type == RAY_I64) {
+                    int64_t* d = ray_data(v);
+                    d[0] = INT64_MAX; d[1] = 1; d[2] = INT64_MAX; d[3] = 2;
+                } else if (type == RAY_TIME) {
+                    int32_t* d = ray_data(v);
+                    d[0] = INT32_MAX; d[1] = 1; d[2] = INT32_MAX; d[3] = 2;
+                } else if (type == RAY_F64) {
+                    double* d = ray_data(v);
+                    d[0] = 1e308; d[1] = 1e308; d[2] = INFINITY; d[3] = -INFINITY;
+                }
+            }
+            ray_env_set(ray_sym_intern("v", 1), v);
+            for (size_t a = 0; a < sizeof(ops)/sizeof(ops[0]); a++) {
+                /* Integer grouped statistics intentionally retain wrapped
+                 * sum-of-squares semantics; scalar variance uses another
+                 * algorithm. Overflow here tests sum/product output only. */
+                if (shape == 2 && ops[a] != OP_SUM && ops[a] != OP_PROD) continue;
+                const agg_vtable_t* vt = agg_resolve(ops[a], type);
+                if (!vt || vt->kind != ACC_STREAMING) continue;
+                ray_t* out = agg_run_one(vt, v, gids, 4, 3, 0);
+                TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+                for (int g = 0; g < 3; g++) {
+                    /* Non-nullable extrema have no representable empty vector
+                     * cell; real grouping never emits an absent group. */
+                    if (g == 2 && (type == RAY_BOOL || type == RAY_U8) &&
+                            (ops[a] == OP_MIN || ops[a] == OP_MAX)) continue;
+                    char source[128];
+                    if (g == 2) snprintf(source, sizeof(source), "(%s (take v 0))", unary_names[a]);
+                    else snprintf(source, sizeof(source), "(%s (at v [%d %d]))", unary_names[a], 2*g, 2*g+1);
+                    /* Grouped product is null when there are no live rows. */
+                    ray_t* want = ops[a] == OP_PROD && (g == 2 ||
+                        (shape == 1 && type != RAY_BOOL && type != RAY_U8))
+                        ? ray_typed_null(-vt->out_type) : ray_eval_str(source);
+                    TEST_ASSERT_NOT_NULL(want); TEST_ASSERT_FALSE(RAY_IS_ERR(want));
+                    ray_t* index = ray_i64(g);
+                    ray_t* got = ray_at_fn(out, index); ray_release(index);
+                    TEST_ASSERT_EQ_I(got->type, want->type);
+                    bool same;
+                    if (want->type == -RAY_F64)
+                        same = (isnan(got->f64) && isnan(want->f64)) ||
+                            fabs(got->f64 - want->f64) <= 1e-12 * fmax(1.0, fabs(want->f64));
+                    else {
+                        ray_t* gs = ray_fmt(got, 0); ray_t* ws = ray_fmt(want, 0);
+                        same = strcmp(ray_str_ptr(gs), ray_str_ptr(ws)) == 0;
+                        ray_release(gs); ray_release(ws);
+                    }
+                    if (RAY_ATOM_IS_NULL(want)) TEST_ASSERT_TRUE(out->attrs & RAY_ATTR_HAS_NULLS);
+                    ray_release(got); ray_release(want);
+                    TEST_ASSERT_FMT(same, "native %s/%s shape %d group %d", unary_names[a], ray_type_name(type), shape, g);
+                }
+                ray_release(out);
+            }
+            ray_release(v);
+        }
+    }
+    PASS();
+}
+
 /* Registry presence and execution admission are different contracts: buffered
  * I64/F64 vtables exist today, but must not silently pass streaming admission. */
 static test_result_t test_registry_admission_contracts(void) {
@@ -175,6 +249,9 @@ static test_result_t test_registry_admission_contracts(void) {
                 ((op == OP_ALL || op == OP_ANY || binary) && numeric);
             const agg_vtable_t* vt = agg_resolve(op, type);
             TEST_ASSERT_FMT((vt != NULL) == registered, "registry %u/%s changed", op, ray_type_name(type));
+            if (vt && vt->kind == ACC_STREAMING)
+                TEST_ASSERT_FMT(vt->finalize_value != NULL,
+                                "streaming %u/%s must emit native values", op, ray_type_name(type));
             ray_graph_t* graph = ray_graph_new(tbl);
             ray_op_t* keys[] = { ray_scan(graph, "k") };
             ray_op_t* ins[] = { ray_scan(graph, "v") };
@@ -212,15 +289,16 @@ static test_result_t test_group_routes_and_bool_outputs(void) {
         { RAY_PARALLEL_THRESHOLD, 0, AGG_ROUTE_V2_DENSE },
         { RAY_PARALLEL_THRESHOLD, 1, AGG_ROUTE_V2_RADIX },
         { RAY_PARALLEL_THRESHOLD, 2, AGG_ROUTE_V2_DENSE },
-        { RAY_PARALLEL_THRESHOLD, 3, AGG_ROUTE_V2_RADIX },
+        { RAY_PARALLEL_THRESHOLD, 3, AGG_ROUTE_V2_DENSE },
+        { RAY_PARALLEL_THRESHOLD, 4, AGG_ROUTE_V2_RADIX },
     };
     for (size_t c = 0; c < sizeof(cases)/sizeof(cases[0]); c++) {
         int64_t n = cases[c].n;
         ray_t* k = ray_vec_new(RAY_I64, n); k->len = n;
         ray_t* v = ray_vec_new(RAY_BOOL, n); v->len = n;
         for (int64_t i = 0; i < n; i++) {
-            int64_t key = cases[c].mode == 3 ? i : i % 4;
-            ((int64_t*)ray_data(k))[i] = cases[c].mode == 1 ? key * 1000000 : key;
+            int64_t key = cases[c].mode >= 3 ? i : i % 4;
+            ((int64_t*)ray_data(k))[i] = (cases[c].mode == 1 || cases[c].mode == 4) ? key * 1000000 : key;
             ((uint8_t*)ray_data(v))[i] = key % 2;
         }
         if (cases[c].mode == 2) ray_vec_set_null(k, 0, true);
@@ -241,7 +319,7 @@ static test_result_t test_group_routes_and_bool_outputs(void) {
         TEST_ASSERT_EQ_I(stats.routes[cases[c].route], 1);
         TEST_ASSERT_EQ_I(stats.routes[AGG_ROUTE_LEGACY], 0);
         TEST_ASSERT_EQ_I(stats.nullable_key, cases[c].mode == 2);
-        TEST_ASSERT_EQ_I(stats.dense_worker_budget, cases[c].mode == 3);
+        TEST_ASSERT_FALSE(stats.dense_worker_budget);
         ray_t* out_keys = ray_table_get_col_idx(out, 0);
         for (int a = 1; a <= 2; a++) {
             ray_t* col = ray_table_get_col_idx(out, a);
@@ -249,7 +327,7 @@ static test_result_t test_group_routes_and_bool_outputs(void) {
             for (int64_t i = 0; i < col->len; i++) {
                 int64_t key = ((int64_t*)ray_data(out_keys))[i];
                 if (key == NULL_I64) key = 0;
-                if (cases[c].mode == 1) key /= 1000000;
+                if (cases[c].mode == 1 || cases[c].mode == 4) key /= 1000000;
                 TEST_ASSERT_EQ_I(((uint8_t*)ray_data(col))[i], key % 2);
             }
         }
@@ -261,8 +339,8 @@ static test_result_t test_group_routes_and_bool_outputs(void) {
     agg_route_stats_t stats = agg_route_stats();
     TEST_ASSERT_EQ_I(stats.routes[AGG_ROUTE_V2_SERIAL_DENSE], 1);
     TEST_ASSERT_EQ_I(stats.last_v2_reason, AGG_V2_ADMITTED);
-    /* A dense allocation can fit while repeated worker ranges make its
-     * update/merge traffic more expensive than radix scatter. */
+    /* Shared extrema keep one state per group even when every input range
+     * visits the whole key domain. Pool size no longer multiplies state. */
     ray_pool_destroy();
     TEST_ASSERT_EQ_I(ray_pool_init_total(8), RAY_OK);
     ray_t* setup = ray_eval_str("(set traffic_i (til 1000000)) (set traffic_g (% (* traffic_i 17) 80000)) (set traffic_t (table [k v] (list (as 'I32 (+ (* traffic_g 2) (div traffic_g 4))) (as 'TIME traffic_g))))");
@@ -272,8 +350,9 @@ static test_result_t test_group_routes_and_bool_outputs(void) {
     TEST_ASSERT_NOT_NULL(r); TEST_ASSERT_FALSE(RAY_IS_ERR(r));
     stats = agg_route_stats();
     TEST_ASSERT_TRUE(stats.dense_plan_available);
-    TEST_ASSERT_TRUE(stats.dense_worker_budget);
-    TEST_ASSERT_EQ_I(stats.routes[AGG_ROUTE_V2_RADIX], 1);
+    TEST_ASSERT_FALSE(stats.dense_worker_budget);
+    TEST_ASSERT_EQ_I(stats.routes[AGG_ROUTE_V2_DENSE], 1);
+    TEST_ASSERT_EQ_I(stats.dense_strategy, AGG_DENSE_PARTITIONED);
     TEST_ASSERT_EQ_I(ray_table_nrows(r), 80000);
     ray_release(r);
     /* A larger machine must not lose dense execution solely because a slab
@@ -292,7 +371,10 @@ static test_result_t test_group_routes_and_bool_outputs(void) {
         TEST_ASSERT_NOT_NULL(r); TEST_ASSERT_FALSE(RAY_IS_ERR(r));
         stats = agg_route_stats();
         TEST_ASSERT_EQ_I(stats.routes[AGG_ROUTE_V2_DENSE], 1);
-        TEST_ASSERT_TRUE(stats.dense_tasks > 0 && stats.dense_tasks < 20);
+        TEST_ASSERT_TRUE(stats.dense_tasks > 0);
+        TEST_ASSERT_EQ_I(stats.dense_strategy, AGG_DENSE_PARTITIONED);
+        TEST_ASSERT_TRUE(stats.dense_tasks <= RAY_POOL_INIT_TASKS);
+        TEST_ASSERT_TRUE(stats.dense_local_slots < 400000);
         TEST_ASSERT_EQ_I(ray_pool_total_workers(ray_pool_get()), 20);
         TEST_ASSERT_EQ_I(ray_table_nrows(r), 76924 - selected * 101);
         ray_t* keys = ray_table_get_col_idx(r, 0);
@@ -308,6 +390,290 @@ static test_result_t test_group_routes_and_bool_outputs(void) {
     PASS();
 }
 
+static test_result_t test_narrow_extrema_limits(void) {
+    const int8_t types[] = {RAY_BOOL, RAY_U8, RAY_I16, RAY_I32, RAY_DATE, RAY_TIME};
+    for (size_t t = 0; t < sizeof(types) / sizeof(types[0]); t++) {
+        for (int maximum = 0; maximum < 2; maximum++) {
+            int8_t type = types[t];
+            int width = type == RAY_BOOL || type == RAY_U8 ? 1 : type == RAY_I16 ? 2 : 4;
+            int32_t expected = width == 1 ? (type == RAY_BOOL ? 1 : 255)
+                : maximum ? (width == 2 ? INT16_MIN + 1 : INT32_MIN + 1)
+                : (width == 2 ? INT16_MAX : INT32_MAX);
+            ray_t* val = ray_vec_new(type, 2);
+            val->len = 2;
+            if (width == 1) { ((uint8_t*)ray_data(val))[0] = expected; ((uint8_t*)ray_data(val))[1] = expected; }
+            else if (width == 2) { ((int16_t*)ray_data(val))[0] = expected; ((int16_t*)ray_data(val))[1] = NULL_I16; }
+            else { ((int32_t*)ray_data(val))[0] = expected; ((int32_t*)ray_data(val))[1] = NULL_I32; }
+            const agg_vtable_t* vt = agg_resolve(maximum ? OP_MAX : OP_MIN, type);
+            TEST_ASSERT_EQ_I(vt->state_size, 8);
+            uint64_t states[2];
+            vt->init(&states[0]); vt->init(&states[1]);
+            uint32_t gids[] = {0, 0};
+            ray_valid_t valid = {ray_data(val), type, width != 1};
+            vt->update_batch(states, vt->state_size, gids, ray_data(val), &valid, 2, NULL);
+            vt->merge(&states[1], &states[0], NULL);
+            union { uint64_t align[2]; uint8_t bytes[16]; } output;
+            memset(output.bytes, 0xa5, sizeof(output.bytes));
+            TEST_ASSERT_FALSE(vt->finalize_value(&states[1], output.bytes));
+            int64_t got = width == 1 ? output.bytes[0] : width == 2
+                ? *(int16_t*)output.bytes : *(int32_t*)output.bytes;
+            TEST_ASSERT_EQ_I(got, expected);
+            for (int i = width; i < 16; i++) TEST_ASSERT_EQ_I(output.bytes[i], 0xa5);
+            vt->init(&states[0]);
+            TEST_ASSERT_TRUE(vt->finalize_value(&states[0], output.bytes));
+            ray_release(val);
+        }
+    }
+    PASS();
+}
+
+/* Compare shared and partitioned execution with an independent row oracle.
+ * A frequent null key stresses contention/skew; one live key has no valid
+ * aggregate values. Native widths, mixed COUNT, binary inputs, and repeated
+ * scratch reuse all pass through the common output stage. */
+static test_result_t test_dense_strategies(void) {
+    ray_pool_destroy();
+    TEST_ASSERT_EQ_I(ray_pool_init_total(4), RAY_OK);
+    const int8_t types[] = {RAY_BOOL, RAY_U8, RAY_I16, RAY_I32, RAY_DATE, RAY_TIME, RAY_F32, RAY_F64, RAY_I64, RAY_TIMESTAMP};
+    const int64_t n = 262144;
+    for (size_t t = 0; t < sizeof(types) / sizeof(types[0]); t++) {
+        int8_t type = types[t];
+        bool floating = type == RAY_F32 || type == RAY_F64;
+        bool wide_int = type == RAY_I64 || type == RAY_TIMESTAMP;
+        int width = type == RAY_BOOL || type == RAY_U8 ? 1 : type == RAY_I16 ? 2 : type == RAY_F64 || wide_int ? 8 : 4;
+        ray_t* key = ray_vec_new(RAY_I32, n);
+        ray_t* val = ray_vec_new(type, n);
+        key->len = val->len = n;
+        if (type == RAY_LIST) memset(ray_data(key), 0, (size_t)n * sizeof(ray_t*));
+        key->attrs |= RAY_ATTR_HAS_NULLS;
+        if (width != 1) val->attrs |= RAY_ATTR_HAS_NULLS;
+        int64_t mn[8193], mx[8193], counts[8193] = {0}, sums[8193] = {0};
+        for (int k = 0; k <= 8192; k++) { mn[k] = INT64_MAX; mx[k] = INT64_MIN; }
+        for (int64_t i = 0; i < n; i++) {
+            int32_t k = i / 2 % 8192 - 4096;
+            bool null_key = i % 3 == 0;
+            int group = null_key ? 8192 : k + 4096;
+            bool null_value = width != 1 && (i % 97 == 0 || k == -1000);
+            int32_t value = width == 1 ? i % (type == RAY_BOOL ? 2 : 251) : i % 10007 - 5000;
+            ((int32_t*)ray_data(key))[i] = null_key ? NULL_I32 : k * 8;
+            if (type == RAY_F32) ((float*)ray_data(val))[i] = null_value ? NAN : value;
+            else if (type == RAY_F64) ((double*)ray_data(val))[i] = null_value ? NAN : value;
+            else if (width == 1) ((uint8_t*)ray_data(val))[i] = value;
+            else if (width == 2) ((int16_t*)ray_data(val))[i] = null_value ? NULL_I16 : value;
+            else if (wide_int) ((int64_t*)ray_data(val))[i] = null_value ? NULL_I64 : value;
+            else ((int32_t*)ray_data(val))[i] = null_value ? NULL_I32 : value;
+            counts[group]++;
+            if (!null_value) {
+                sums[group] += value;
+                if (value < mn[group]) mn[group] = value;
+                if (value > mx[group]) mx[group] = value;
+            }
+        }
+        ray_t* tbl = ray_table_new(2);
+        tbl = ray_table_add_col(tbl, ray_sym_intern("k", 1), key);
+        tbl = ray_table_add_col(tbl, ray_sym_intern("v", 1), val);
+        ray_release(key); ray_release(val);
+        for (int mode = 0; mode < 4; mode++) {
+            if (mode == 2 && type != RAY_I32) continue;
+            if (mode == 3 && (type == RAY_DATE || type == RAY_TIMESTAMP)) continue;
+            for (int repeat = 0; repeat < 2; repeat++) {
+                ray_graph_t* graph = ray_graph_new(tbl);
+                ray_op_t* keys[] = {ray_scan(graph, "k")};
+                ray_op_t* v = ray_scan(graph, "v");
+                ray_op_t* inputs[] = {v, v, v};
+                uint16_t ops[] = {OP_MIN, OP_MAX, OP_COUNT};
+                ray_op_t* group;
+                if (mode == 2) {
+                    uint16_t binary = OP_PEARSON_CORR;
+                    group = ray_group_build(graph, keys, 1, &binary, inputs, inputs, NULL, 1);
+                } else if (mode == 3) {
+                    uint16_t sum = OP_SUM;
+                    group = ray_group(graph, keys, 1, &sum, inputs, 1);
+                } else group = ray_group(graph, keys, 1, ops, inputs, mode ? 3 : 2);
+                agg_route_reset();
+                ray_t* out = ray_execute(graph, group);
+                TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+                agg_route_stats_t stats = agg_route_stats();
+                TEST_ASSERT_EQ_I(stats.routes[AGG_ROUTE_V2_DENSE], 1);
+#if ATOMIC_LLONG_LOCK_FREE == 2
+                TEST_ASSERT_EQ_I(stats.dense_strategy, mode || floating || wide_int ? AGG_DENSE_PARTITIONED : AGG_DENSE_SHARED);
+#endif
+                TEST_ASSERT_TRUE(stats.dense_local_slots <= 2 * 65792);
+                TEST_ASSERT_EQ_I(ray_table_nrows(out), 8193);
+                ray_t* ko = ray_table_get_col_idx(out, 0);
+                for (int64_t row = 0; row < ko->len; row++) {
+                    int32_t k = ((int32_t*)ray_data(ko))[row];
+                    int index = k == NULL_I32 ? 8192 : k / 8 + 4096;
+                    TEST_ASSERT_TRUE(index >= 0 && index <= 8192);
+                    if (mode == 3) {
+                        ray_t* col = ray_table_get_col_idx(out, 1);
+                        TEST_ASSERT_EQ_I(col->type, floating ? RAY_F64 : type == RAY_TIME ? RAY_TIME : RAY_I64);
+                        if (floating) TEST_ASSERT_TRUE(((double*)ray_data(col))[row] == sums[index]);
+                        else if (type == RAY_TIME) TEST_ASSERT_EQ_I(((int32_t*)ray_data(col))[row], sums[index]);
+                        else TEST_ASSERT_EQ_I(((int64_t*)ray_data(col))[row], sums[index]);
+                    } else if (mode == 2) {
+                        double got = ((double*)ray_data(ray_table_get_col_idx(out, 1)))[row];
+                        TEST_ASSERT_TRUE(mn[index] == INT64_MAX ? isnan(got) : fabs(got - 1.0) < 1e-12);
+                    } else {
+                        for (int a = 0; a < 2; a++) {
+                            ray_t* col = ray_table_get_col_idx(out, a + 1);
+                            TEST_ASSERT_EQ_I(col->type, type == RAY_F32 ? RAY_F64 : type);
+                            if (floating) {
+                                double got = ((double*)ray_data(col))[row];
+                                TEST_ASSERT_TRUE(mn[index] == INT64_MAX ? isnan(got) : got == (a ? mx[index] : mn[index]));
+                                continue;
+                            }
+                            int64_t got = width == 1 ? ((uint8_t*)ray_data(col))[row]
+                                : width == 2 ? ((int16_t*)ray_data(col))[row]
+                                : wide_int ? ((int64_t*)ray_data(col))[row] : ((int32_t*)ray_data(col))[row];
+                            int64_t want = mn[index] == INT64_MAX ? (width == 2 ? NULL_I16 : wide_int ? NULL_I64 : NULL_I32)
+                                : a ? mx[index] : mn[index];
+                            TEST_ASSERT_EQ_I(got, want);
+                        }
+                        if (mode) TEST_ASSERT_EQ_I(((int64_t*)ray_data(ray_table_get_col_idx(out, 3)))[row], counts[index]);
+                    }
+                }
+                ray_release(out); ray_graph_free(graph);
+            }
+        }
+        ray_release(tbl);
+    }
+    PASS();
+}
+
+static test_result_t test_dense_symbol_output(void) {
+    ray_pool_destroy();
+    TEST_ASSERT_EQ_I(ray_pool_init_total(8), RAY_OK);
+    const int64_t n = 65536;
+    int64_t ids[8192];
+    for (int k = 0; k < 8192; k++) {
+        char name[40];
+        int len = snprintf(name, sizeof(name), "dense_key_%d", k);
+        ids[k] = ray_sym_intern(name, len);
+    }
+    const uint8_t widths[] = {RAY_SYM_W32, RAY_SYM_W64};
+    for (size_t w = 0; w < sizeof(widths); w++) {
+        ray_t* key = ray_sym_vec_new(widths[w], n);
+        ray_t* val = ray_vec_new(RAY_TIME, n);
+        key->len = val->len = n;
+        for (int64_t row = 0; row < n; row++) {
+            ray_write_sym(ray_data(key), row, ids[row % 8192], RAY_SYM, key->attrs);
+            ((int32_t*)ray_data(val))[row] = row % 8192;
+        }
+        ray_t* tbl = ray_table_new(2);
+        tbl = ray_table_add_col(tbl, ray_sym_intern("k", 1), key);
+        tbl = ray_table_add_col(tbl, ray_sym_intern("v", 1), val);
+        ray_release(key); ray_release(val);
+        for (int mixed = 0; mixed < 2; mixed++) {
+            ray_graph_t* graph = ray_graph_new(tbl);
+            ray_op_t* keys[] = {ray_scan(graph, "k")};
+            ray_op_t* value = ray_scan(graph, "v");
+            ray_op_t* inputs[] = {value, value};
+            uint16_t ops[] = {OP_MIN, OP_COUNT};
+            ray_op_t* group = ray_group(graph, keys, 1, ops, inputs, mixed ? 2 : 1);
+            agg_route_reset();
+            ray_t* out = ray_execute(graph, group);
+            TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+            TEST_ASSERT_EQ_I(agg_route_stats().routes[AGG_ROUTE_V2_DENSE], 1);
+#if ATOMIC_LLONG_LOCK_FREE == 2
+            TEST_ASSERT_EQ_I(agg_route_stats().dense_strategy, AGG_DENSE_PARTITIONED);
+#endif
+            TEST_ASSERT_EQ_I(ray_table_nrows(out), 8192);
+            ray_t* ko = ray_table_get_col_idx(out, 0);
+            ray_t* vo = ray_table_get_col_idx(out, 1);
+            TEST_ASSERT_EQ_I(ko->attrs & RAY_SYM_W_MASK, widths[w]);
+            TEST_ASSERT_EQ_I(vo->type, RAY_TIME);
+            for (int64_t row = 0; row < ko->len; row++) {
+                int32_t index = ((int32_t*)ray_data(vo))[row];
+                TEST_ASSERT_TRUE(index >= 0 && index < 8192);
+                TEST_ASSERT_EQ_I(ray_read_sym(ray_data(ko), row, RAY_SYM, ko->attrs), ids[index]);
+                if (mixed) TEST_ASSERT_EQ_I(((int64_t*)ray_data(ray_table_get_col_idx(out, 2)))[row], n / 8192);
+            }
+            ray_release(out); ray_graph_free(graph);
+        }
+        ray_release(tbl);
+    }
+    PASS();
+}
+
+/* Task input ranges can be disjoint, cross bitmap words, and contain only nulls.
+ * Repeating the query also verifies that reused occupancy bits are cleared. */
+static test_result_t test_dense_task_local(void) {
+    ray_pool_destroy();
+    TEST_ASSERT_EQ_I(ray_pool_init_total(4), RAY_OK);
+    const int8_t types[] = { RAY_I16, RAY_I32, RAY_I64, RAY_DATE, RAY_TIME, RAY_TIMESTAMP };
+    const int64_t n = 400000;
+    for (size_t t = 0; t < sizeof(types) / sizeof(types[0]); t++) {
+        ray_t* key = ray_vec_new(types[t], n);
+        ray_t* val = ray_vec_new(RAY_TIME, n);
+        key->len = val->len = n;
+        key->attrs |= RAY_ATTR_HAS_NULLS;
+        val->attrs |= RAY_ATTR_HAS_NULLS;
+        int64_t counts[513] = {0};
+        for (int64_t i = 0; i < n; i++) {
+            int64_t k = i / 100000 * 128 + i % 64 - 257;
+            bool null = i < 100000 || i % 10007 == 0;
+            counts[null ? 512 : k + 257]++;
+            if (types[t] == RAY_I16) ((int16_t*)ray_data(key))[i] = null ? NULL_I16 : k;
+            else if (types[t] == RAY_I64 || types[t] == RAY_TIMESTAMP)
+                ((int64_t*)ray_data(key))[i] = null ? NULL_I64 : k;
+            else ((int32_t*)ray_data(key))[i] = null ? NULL_I32 : k;
+            ((int32_t*)ray_data(val))[i] = null ? -123 : k == -100 ? NULL_I32 : k * 3;
+        }
+        ray_t* tbl = ray_table_new(2);
+        tbl = ray_table_add_col(tbl, ray_sym_intern("k", 1), key);
+        tbl = ray_table_add_col(tbl, ray_sym_intern("v", 1), val);
+        ray_release(key); ray_release(val);
+        for (int repeat = 0; repeat < 3; repeat++) {
+            ray_graph_t* graph = ray_graph_new(tbl);
+            ray_op_t* keys[] = {ray_scan(graph, "k")};
+            ray_op_t* values[] = {ray_scan(graph, "v"), ray_scan(graph, "v"), ray_scan(graph, "v")};
+            uint16_t ops[] = {OP_MIN, OP_MAX, OP_COUNT};
+            ray_op_t* group = ray_group(graph, keys, 1, ops, values, 3);
+            agg_route_reset();
+            int64_t watermark = ray_heap_anon_watermark();
+            if (repeat == 2) {
+                /* Allow four task slabs and the final state, but not sixteen.
+                 * A small spill budget must constrain extra scheduling tasks. */
+                size_t block = 2 * agg_resolve(OP_MIN, RAY_TIME)->state_size
+                    + agg_resolve(OP_COUNT, RAY_TIME)->state_size;
+                int64_t slab = 321 * (block + sizeof(int64_t) + 1);
+                ray_heap_set_anon_watermark(4 * (n * (int64_t)sizeof(uint32_t) + 5 * slab));
+            }
+            ray_t* out = ray_execute(graph, group);
+            ray_heap_set_anon_watermark(watermark);
+            TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+            agg_route_stats_t stats = agg_route_stats();
+            TEST_ASSERT_EQ_I(stats.routes[AGG_ROUTE_V2_DENSE], 1);
+            TEST_ASSERT_TRUE(stats.dense_tasks >= 4 && stats.dense_tasks <= 16);
+            if (repeat == 2) TEST_ASSERT_EQ_I(stats.dense_tasks, 4);
+            TEST_ASSERT_EQ_I(stats.dense_strategy, AGG_DENSE_TASK_LOCAL);
+            TEST_ASSERT_EQ_I(stats.dense_local_slots, stats.dense_tasks * 321);
+            TEST_ASSERT_EQ_I(ray_table_nrows(out), 193);
+            ray_t* ko = ray_table_get_col_idx(out, 0);
+            ray_t* mn = ray_table_get_col_idx(out, 1);
+            ray_t* mx = ray_table_get_col_idx(out, 2);
+            ray_t* count = ray_table_get_col_idx(out, 3);
+            TEST_ASSERT_EQ_I(ko->type, types[t]);
+            TEST_ASSERT_EQ_I(mn->type, RAY_TIME); TEST_ASSERT_EQ_I(mx->type, RAY_TIME);
+            for (int64_t r = 0; r < ko->len; r++) {
+                int64_t k = types[t] == RAY_I16 ? ((int16_t*)ray_data(ko))[r]
+                    : types[t] == RAY_I64 || types[t] == RAY_TIMESTAMP ? ((int64_t*)ray_data(ko))[r]
+                    : ((int32_t*)ray_data(ko))[r];
+                int64_t null = types[t] == RAY_I16 ? NULL_I16
+                    : types[t] == RAY_I64 || types[t] == RAY_TIMESTAMP ? NULL_I64 : NULL_I32;
+                int32_t expected = k == null ? -123 : k == -100 ? NULL_I32 : k * 3;
+                TEST_ASSERT_EQ_I(((int32_t*)ray_data(mn))[r], expected);
+                TEST_ASSERT_EQ_I(((int32_t*)ray_data(mx))[r], expected);
+                TEST_ASSERT_EQ_I(((int64_t*)ray_data(count))[r], counts[k == null ? 512 : k + 257]);
+            }
+            ray_release(out); ray_graph_free(graph);
+        }
+        ray_release(tbl);
+    }
+    PASS();
+}
+
 static test_result_t test_rank_widths_nulls_and_slices(void) {
     const int8_t types[] = { RAY_BOOL, RAY_F32 };
     for (int t = 0; t < 2; t++) {
@@ -329,6 +695,17 @@ static test_result_t test_rank_widths_nulls_and_slices(void) {
             }
             if (t) src->attrs |= RAY_ATTR_HAS_NULLS;
             ray_t* slice = ray_vec_slice(src, 7, n);
+            if (t) {
+                /* Views may inherit null metadata from their parent. */
+                slice->attrs &= (uint8_t)~RAY_ATTR_HAS_NULLS;
+                int64_t winners[] = {0, n - 1};
+                ray_t* gathered = ray_group_gather(slice, winners, 2);
+                TEST_ASSERT_FMT(gathered && !RAY_IS_ERR(gathered), "slice gather failed");
+                TEST_ASSERT_TRUE(gathered->attrs & RAY_ATTR_HAS_NULLS);
+                TEST_ASSERT_TRUE(ray_vec_is_null(gathered, 0));
+                TEST_ASSERT_EQ_F(((float*)ray_data(gathered))[1], 15.25, 1e-12);
+                ray_release(gathered);
+            }
             int64_t offsets[16], counts[16];
             ray_t* indices = ray_vec_new(RAY_I64, n); indices->len = n;
             for (int64_t g = 0; g < 16; g++) {
@@ -396,6 +773,38 @@ static test_result_t test_pairwise_numeric_contracts(void) {
     PASS();
 }
 
+static test_result_t test_native_binary_output(void) {
+    const uint16_t ops[] = { OP_PEARSON_CORR, OP_COV, OP_SCOV, OP_WSUM, OP_WAVG };
+    const double expected[][4] = {
+        {1.0, NULL_F64, NULL_F64, NULL_F64},
+        {0.5, 0.0, NULL_F64, NULL_F64},
+        {1.0, 0.0, NULL_F64, NULL_F64},
+        {10.0, 0.0, 0.0, 0.0},
+        {10.0/3.0, NULL_F64, NULL_F64, NULL_F64},
+    };
+    const double xs[] = {1, 2, 0, 0, NULL_F64, NULL_F64};
+    const double ys[] = {2, 4, 3, 5, 7, NULL_F64};
+    const uint32_t gids[] = {0, 0, 1, 1, 2, 2};
+    ray_t* x = ray_vec_new(RAY_F64, 6); x->len = 6;
+    ray_t* y = ray_vec_new(RAY_F64, 6); y->len = 6;
+    memcpy(ray_data(x), xs, sizeof(xs)); memcpy(ray_data(y), ys, sizeof(ys));
+    x->attrs |= RAY_ATTR_HAS_NULLS; y->attrs |= RAY_ATTR_HAS_NULLS;
+    for (size_t a = 0; a < sizeof(ops)/sizeof(ops[0]); a++) {
+        ray_t* out = agg_run_one_bin(agg_resolve(ops[a], RAY_F64), x, y, gids, 6, 4, 0);
+        TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+        TEST_ASSERT_EQ_I(out->type, RAY_F64); TEST_ASSERT_EQ_I(out->len, 4);
+        for (int g = 0; g < 4; g++) {
+            if (isnan(expected[a][g])) {
+                TEST_ASSERT_TRUE(ray_vec_is_null(out, g));
+                TEST_ASSERT_TRUE(out->attrs & RAY_ATTR_HAS_NULLS);
+            } else TEST_ASSERT_EQ_F(((double*)ray_data(out))[g], expected[a][g], 1e-12);
+        }
+        ray_release(out);
+    }
+    ray_release(x); ray_release(y);
+    PASS();
+}
+
 static test_result_t test_nullable_differential(void) {
     const char* types[] = {"I16", "I32", "I64", "F32", "F64", "DATE", "TIME", "TIMESTAMP", "SYM", "STR"};
     const char* operations[] = {"sum v", "min v", "max v", "avg v", "var v", "var_pop v", "stddev v", "stddev_pop v", "prod v", "first v", "last v", "med v", "mode v", "quantile v 0.25", "top v 2", "bot v 2"};
@@ -490,8 +899,8 @@ static test_result_t test_wide_key_routes(void) {
     agg_route_reset();
     ray_t* large = ray_eval_str("(select {from:(table [k] (list (take [\"a\" \"b\"] 65536))) by:k n:(count k)})");
     TEST_ASSERT_NOT_NULL(large); TEST_ASSERT_FALSE(RAY_IS_ERR(large));
-    TEST_ASSERT_EQ_I(agg_route_stats().last_v2_reason, AGG_V2_PARALLEL_WIDE);
-    TEST_ASSERT_EQ_I(agg_route_stats().routes[AGG_ROUTE_LEGACY], 1);
+    TEST_ASSERT_EQ_I(agg_route_stats().last_v2_reason, AGG_V2_ADMITTED);
+    TEST_ASSERT_EQ_I(agg_route_stats().routes[AGG_ROUTE_V2_INDEXED], 1);
     TEST_ASSERT_EQ_I(ray_table_nrows(large), 2);
     ray_release(large);
     agg_route_reset();
@@ -577,6 +986,691 @@ static test_result_t test_count_distinct_typed_routes(void) {
         TEST_ASSERT_EQ_I(((int64_t*)ray_data(counts))[1], 3);
         ray_release(result); ray_release(k); ray_release(v);
     }
+    /* Large first-seen ordering and repeated-pair skew. The bitmap oracle
+     * counts values independently and retains the earliest original row. */
+    const int64_t ng = 16384;
+    for (int skew = 0; skew < 2; skew++) {
+        ray_t* k = ray_vec_new(RAY_I64, n);
+        ray_t* v = ray_vec_new(RAY_I64, n);
+        TEST_ASSERT_NOT_NULL(k); TEST_ASSERT_NOT_NULL(v);
+        k->len = v->len = n;
+        uint8_t seen[16385] = {0};
+        int64_t first[16385];
+        for (int64_t g = 0; g <= ng; g++) first[g] = -1;
+        for (int64_t i = 0; i < n; i++) {
+            bool hot = skew && i % 3 == 0;
+            int64_t group = hot ? ng : (i * 17) % ng;
+            int value = hot ? (int)((i / 3) % 4) : (int)((i / ng) % 3);
+            ((int64_t*)ray_data(k))[i] = hot ? -1 : group;
+            ((int64_t*)ray_data(v))[i] = value;
+            seen[group] |= (uint8_t)(1u << value);
+            if (first[group] < 0) first[group] = i;
+        }
+        ray_t* result = ray_cd_fused(k, v, n);
+        TEST_ASSERT_FMT(result && !RAY_IS_ERR(result), "large count-distinct declined");
+        TEST_ASSERT_EQ_I(ray_table_nrows(result), ng + skew);
+        int64_t* keys = ray_data(ray_table_get_col_idx(result, 0));
+        int64_t* counts = ray_data(ray_table_get_col_idx(result, 1));
+        int64_t* firsts = ray_data(ray_table_get_col_idx(result, 2));
+        int64_t previous = -1;
+        for (int64_t i = 0; i < ng + skew; i++) {
+            int64_t group = keys[i] == -1 ? ng : keys[i];
+            TEST_ASSERT_TRUE(group >= 0 && group <= ng);
+            TEST_ASSERT_EQ_I(counts[i], __builtin_popcount(seen[group]));
+            TEST_ASSERT_EQ_I(firsts[i], first[group]);
+            TEST_ASSERT_TRUE(firsts[i] > previous); previous = firsts[i];
+        }
+        ray_release(result); ray_release(k); ray_release(v);
+    }
+    PASS();
+}
+
+/* Independent membership/order/reduction oracle for the parallel shared
+ * directory and row slices. A dominant null key crosses many reduction tasks. */
+static test_result_t test_wide_count_distinct(void) {
+    ray_pool_destroy(); TEST_ASSERT_EQ_I(ray_pool_init_total(4), RAY_OK);
+    const char* vocabularies[] = {
+        "[\"pooled long alpha value\" \"beta\" \"pooled long alpha value\" \"\"]",
+        "(as 'GUID (list \"00000000-0000-0000-0000-000000000001\" \"00000000-0000-0000-0000-000000000002\" \"00000000-0000-0000-0000-000000000001\" \"\"))",
+        "(list [1 2] [3 4] [1 2] (list))",
+    };
+    const int8_t types[] = {RAY_STR, RAY_GUID, RAY_LIST};
+    ray_t* setup = ray_eval_str("(set i (til 262144))");
+    TEST_ASSERT_TRUE(setup && !RAY_IS_ERR(setup)); ray_release(setup);
+    for (int kind = 0; kind < 3; kind++) {
+        char script[1024];
+        snprintf(script, sizeof(script),
+            "(set t (table [i k v] (list i (as 'I32 (%% i 65536)) (at %s (as 'I64 (/ i 65536))))))",
+            vocabularies[kind]);
+        setup = ray_eval_str(script);
+        TEST_ASSERT_TRUE(setup && !RAY_IS_ERR(setup));
+        TEST_ASSERT_EQ_I(ray_table_get_col_idx(setup, 2)->type, types[kind]);
+        ray_t* source = ray_table_get_col_idx(setup, 2); ray_retain(source);
+        ray_release(setup);
+        ray_t* grouped = ray_group_indices_fn(source);
+        TEST_ASSERT_TRUE(grouped && !RAY_IS_ERR(grouped));
+        ray_t* indices = ray_dict_vals(grouped);
+        TEST_ASSERT_EQ_I(indices->len, 3);
+        for (int g = 0; g < 3; g++) {
+            ray_t* rows = ray_list_get(indices, g);
+            TEST_ASSERT_EQ_I(rows->type, RAY_I64);
+            TEST_ASSERT_EQ_I(rows->len, g ? 65536 : 131072);
+            for (int64_t i = 0; i < rows->len; i++) {
+                int64_t expected = g == 0 ? (i < 65536 ? i : i + 65536)
+                    : g == 1 ? i + 65536 : i + 196608;
+                TEST_ASSERT_EQ_I(((int64_t*)ray_data(rows))[i], expected);
+            }
+        }
+        ray_release(grouped); ray_release(source);
+        for (int shape = 0; shape < 4; shape++) {
+            int selected = shape & 1;
+            snprintf(script, sizeof(script), "(select {from:t by:k s:(count (distinct v)) %s %s})",
+                selected ? "where:(< i 196608)" : "", shape >= 2 ? "total:(sum i)" : "");
+            ray_t* out = ray_eval_str(script);
+            TEST_ASSERT_FMT(out && !RAY_IS_ERR(out), "wide count distinct failed, type %d", types[kind]);
+            TEST_ASSERT_EQ_I(ray_table_nrows(out), 65536);
+            ray_t* counts = ray_table_get_col(out, ray_sym_intern("s", 1));
+            TEST_ASSERT_NOT_NULL(counts); TEST_ASSERT_EQ_I(counts->type, RAY_I64);
+            for (int64_t g = 0; g < counts->len; g++)
+                TEST_ASSERT_EQ_I(((int64_t*)ray_data(counts))[g], selected ? 2 : 3);
+            ray_release(out);
+        }
+        ray_t* out = ray_eval_str("(select {from:t by:v s:(count (distinct k)) total:(sum i)})");
+        TEST_ASSERT_TRUE(out && !RAY_IS_ERR(out));
+        TEST_ASSERT_EQ_I(ray_table_nrows(out), 3);
+        ray_t* counts = ray_table_get_col(out, ray_sym_intern("s", 1));
+        TEST_ASSERT_NOT_NULL(counts);
+        for (int64_t g = 0; g < counts->len; g++)
+            TEST_ASSERT_EQ_I(((int64_t*)ray_data(counts))[g], 65536);
+        ray_release(out);
+        out = ray_eval_str("(select {from:t by:v where:(< i 0)})");
+        TEST_ASSERT_TRUE(out && !RAY_IS_ERR(out));
+        TEST_ASSERT_EQ_I(ray_table_nrows(out), 0);
+        TEST_ASSERT_EQ_I(ray_table_ncols(out), 3);
+        TEST_ASSERT_EQ_I(ray_table_get_col(out, ray_sym_intern("v", 1))->type, types[kind]);
+        ray_release(out);
+        out = ray_eval_str("(select {from:t by:v s:(count (distinct k)) total:(sum i) m:(med i) where:(< i 0)})");
+        TEST_ASSERT_TRUE(out && !RAY_IS_ERR(out));
+        TEST_ASSERT_EQ_I(ray_table_nrows(out), 0);
+        TEST_ASSERT_EQ_I(ray_table_ncols(out), 4);
+        TEST_ASSERT_EQ_I(ray_table_get_col(out, ray_sym_intern("v", 1))->type, types[kind]);
+        TEST_ASSERT_EQ_I(ray_table_get_col(out, ray_sym_intern("s", 1))->type, RAY_I64);
+        TEST_ASSERT_EQ_I(ray_table_get_col(out, ray_sym_intern("total", 5))->type, RAY_I64);
+        TEST_ASSERT_EQ_I(ray_table_get_col(out, ray_sym_intern("m", 1))->type, RAY_F64);
+        ray_release(out);
+
+    }
+    PASS();
+}
+
+static test_result_t test_indexed_parallel_layout(void) {
+    const int64_t n = 131075;
+    const int64_t group_counts[] = {4096, 17, 7, 17};
+    for (int shape = 0; shape < 4; shape++) {
+        ray_pool_destroy();
+        if (shape < 3) TEST_ASSERT_EQ_I(ray_pool_init_total(shape ? 3 : 4), RAY_OK);
+        const int64_t ng = group_counts[shape];
+        int64_t symbols[4096];
+        for (int64_t k = 0; k < ng; k++) {
+            char name[32]; int len = snprintf(name, sizeof(name), "nested-key-%lld", (long long)k);
+            symbols[k] = ray_sym_intern(name, len);
+        }
+        const int8_t types[] = {RAY_I32, RAY_I64, RAY_F64, RAY_GUID, RAY_STR, RAY_LIST};
+        for (size_t ti = 0; ti < sizeof(types) / sizeof(types[0]); ti++) {
+            int8_t type = types[ti];
+            ray_t* key = type == RAY_LIST ? ray_list_new(n) : ray_vec_new(type, n);
+            ray_t* val = ray_vec_new(RAY_I64, n);
+            TEST_ASSERT_NOT_NULL(key); TEST_ASSERT_NOT_NULL(val);
+            key->len = val->len = n;
+            key->attrs |= RAY_ATTR_HAS_NULLS; val->attrs |= RAY_ATTR_HAS_NULLS;
+            int64_t count[4096] = {0}, valid[4096] = {0}, sum[4096] = {0};
+            int64_t first[4096], last[4096], first_row[4096];
+            uint32_t* hist = ray_calloc_raw((size_t)ng * 101 * sizeof(uint32_t));
+            TEST_ASSERT_NOT_NULL(hist);
+            for (int64_t k = 0; k < ng; k++) first[k] = last[k] = first_row[k] = -1;
+            for (int64_t r = 0; r < n; r++) {
+                int64_t k = r % 3 == 0 ? 0 : r % ng;
+                int64_t v = r % 101;
+                bool null = r % 97 == 0 || k == 17;
+                if (type == RAY_I32) ((int32_t*)ray_data(key))[r] = k ? k : NULL_I32;
+                else if (type == RAY_I64) ((int64_t*)ray_data(key))[r] = k ? k * INT64_C(1000000007) : NULL_I64;
+                else if (type == RAY_F64) ((double*)ray_data(key))[r] = k ? (double)k : NAN;
+                else if (type == RAY_GUID) { memset((char*)ray_data(key) + r * 16, 0, 16); memcpy((char*)ray_data(key) + r * 16, &k, sizeof(k)); }
+                else if (type == RAY_LIST) {
+                    ray_t* item = NULL;
+                    if (k) {
+                        item = ray_sym_vec_new(r % 2 ? RAY_SYM_W32 : RAY_SYM_W64, 1);
+                        TEST_ASSERT_NOT_NULL(item); item->len = 1;
+                        ray_write_sym(ray_data(item), 0, symbols[k], RAY_SYM, item->attrs);
+                    }
+                    ((ray_t**)ray_data(key))[r] = item;
+                }
+                else {
+                    char text[32]; int len = k ? snprintf(text, sizeof(text), "key%lld", (long long)k) : 0;
+                    key = ray_str_vec_set(key, r, text, len);
+                    TEST_ASSERT_NOT_NULL(key); TEST_ASSERT_FALSE(RAY_IS_ERR(key));
+                }
+                ((int64_t*)ray_data(val))[r] = null ? NULL_I64 : v;
+                if (first_row[k] < 0) first_row[k] = r;
+                count[k]++;
+                if (!null) {
+                    if (first[k] < 0) first[k] = v;
+                    last[k] = v; valid[k]++; sum[k] += v; hist[k * 101 + v]++;
+                }
+            }
+            ray_t* tbl = ray_table_new(2);
+            tbl = ray_table_add_col(tbl, ray_sym_intern("k", 1), key);
+            tbl = ray_table_add_col(tbl, ray_sym_intern("v", 1), val);
+            ray_release(key); ray_release(val);
+            for (int repeat = 0; repeat < 2; repeat++) {
+                ray_graph_t* graph = ray_graph_new(tbl);
+                ray_op_t* keys[] = {ray_scan(graph, "k")};
+                ray_op_t* v = ray_scan(graph, "v");
+                ray_op_t* inputs[] = {v, v, v, v, v};
+                uint16_t ops[] = {OP_SUM, OP_FIRST, OP_LAST, OP_MEDIAN, OP_COUNT};
+                ray_op_t* group = ray_group(graph, keys, 1, ops, inputs, 5);
+                agg_route_reset();
+                ray_t* out = ray_execute(graph, group);
+                TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+                TEST_ASSERT_EQ_I(agg_route_stats().routes[AGG_ROUTE_V2_INDEXED], 1);
+                TEST_ASSERT_EQ_I(ray_table_nrows(out), ng);
+                ray_t* ko = ray_table_get_col_idx(out, 0);
+                TEST_ASSERT_EQ_I(ko->type, type);
+                int64_t previous = -1;
+                for (int64_t r = 0; r < ng; r++) {
+                    int64_t k;
+                    if (type == RAY_I32) { k = ((int32_t*)ray_data(ko))[r]; if (k == NULL_I32) k = 0; }
+                    else if (type == RAY_I64) { k = ((int64_t*)ray_data(ko))[r]; k = k == NULL_I64 ? 0 : k / INT64_C(1000000007); }
+                    else if (type == RAY_F64) { double f = ((double*)ray_data(ko))[r]; k = isnan(f) ? 0 : (int64_t)f; }
+                    else if (type == RAY_GUID) memcpy(&k, (char*)ray_data(ko) + r * 16, sizeof(k));
+                    else if (type == RAY_LIST) {
+                        ray_t* item = ray_list_get(ko, r);
+                        k = 0;
+                        if (item) {
+                            int64_t id = ray_read_sym(ray_data(item), 0, RAY_SYM, item->attrs);
+                            while (k < ng && symbols[k] != id) k++;
+                        }
+                    }
+                    else {
+                        size_t len = 0; const char* text = ray_str_vec_get(ko, r, &len);
+                        k = 0; for (size_t i = 3; i < len; i++) k = k * 10 + text[i] - '0';
+                    }
+                    TEST_ASSERT_TRUE(k >= 0 && k < ng);
+                    TEST_ASSERT_TRUE(first_row[k] > previous); previous = first_row[k];
+                    TEST_ASSERT_EQ_I(((int64_t*)ray_data(ray_table_get_col_idx(out, 1)))[r], sum[k]);
+                    TEST_ASSERT_EQ_I(((int64_t*)ray_data(ray_table_get_col_idx(out, 2)))[r], first[k] < 0 ? NULL_I64 : first[k]);
+                    TEST_ASSERT_EQ_I(((int64_t*)ray_data(ray_table_get_col_idx(out, 3)))[r], last[k] < 0 ? NULL_I64 : last[k]);
+                    TEST_ASSERT_EQ_I(((int64_t*)ray_data(ray_table_get_col_idx(out, 5)))[r], count[k]);
+                    double median = ((double*)ray_data(ray_table_get_col_idx(out, 4)))[r];
+                    if (!valid[k]) TEST_ASSERT_TRUE(isnan(median));
+                    else {
+                        int64_t cumulative = 0, a = -1, b = -1;
+                        for (int value = 0; value <= 100; value++) {
+                            cumulative += hist[k * 101 + value];
+                            if (a < 0 && cumulative > (valid[k] - 1) / 2) a = value;
+                            if (b < 0 && cumulative > valid[k] / 2) b = value;
+                        }
+                        TEST_ASSERT_TRUE(median == (a + b) / 2.0);
+                    }
+                }
+                ray_release(out); ray_graph_free(graph);
+            }
+            ray_free_raw(hist); ray_release(tbl);
+        }
+    }
+    PASS();
+}
+
+static int wide_test_code(ray_t* vector, int64_t row, const int64_t* symbols) {
+    if (ray_vec_is_null(vector, row)) return 0;
+    if (vector->type == RAY_F32) return (int)((float*)ray_data(vector))[row];
+    if (vector->type == RAY_GUID) return ((uint8_t*)ray_data(vector))[row * 16];
+    if (vector->type == RAY_SYM) {
+        int64_t code = ray_read_sym(ray_data(vector), row, vector->type, vector->attrs);
+        for (int i = 1; i <= 3; i++) if (code == symbols[i]) return i;
+        return -1;
+    }
+    size_t len = 0; const char* text = ray_str_vec_get(vector, row, &len);
+    return len ? text[len - 1] - 'a' + 1 : 0;
+}
+static test_result_t test_parallel_wide_consumers(void) {
+    ray_pool_destroy(); TEST_ASSERT_EQ_I(ray_pool_init_total(4), RAY_OK);
+    const int64_t n = 131072, ng = 4096;
+    const int8_t types[] = {RAY_F32, RAY_GUID, RAY_SYM, RAY_STR};
+    int64_t symbols[4] = {0, ray_sym_intern("wide-a", 6), ray_sym_intern("wide-b", 6), ray_sym_intern("wide-c", 6)};
+    int64_t* rows = ray_alloc_raw((size_t)n * sizeof(int64_t));
+    int64_t* offsets = ray_alloc_raw((size_t)(ng + 1) * sizeof(int64_t));
+    int64_t* counts = ray_alloc_raw((size_t)ng * sizeof(int64_t));
+    TEST_ASSERT_NOT_NULL(rows); TEST_ASSERT_NOT_NULL(offsets); TEST_ASSERT_NOT_NULL(counts);
+    for (int64_t i = 0; i < n; i++) rows[i] = i;
+    for (int64_t g = 0; g <= ng; g++) { offsets[g] = g * 32; if (g < ng) counts[g] = 32; }
+    for (size_t ti = 0; ti < sizeof(types) / sizeof(types[0]); ti++) {
+        int8_t type = types[ti];
+        ray_t* src = type == RAY_SYM ? ray_sym_vec_new(RAY_SYM_W64, n) : ray_vec_new(type, n);
+        TEST_ASSERT_NOT_NULL(src); src->len = n;
+        src->attrs |= RAY_ATTR_HAS_NULLS;
+        for (int64_t i = 0; i < n; i++) {
+            int code = i / 32 == 17 || i % 5 == 0 ? 0 : (int)(i % 3) + 1;
+            if (type == RAY_F32) ((float*)ray_data(src))[i] = code ? (float)code : NAN;
+            else if (type == RAY_GUID) { memset((char*)ray_data(src) + i * 16, 0, 16); ((uint8_t*)ray_data(src))[i * 16] = code; }
+            else if (type == RAY_SYM) ray_write_sym(ray_data(src), i, symbols[code], type, src->attrs);
+            else {
+                char text[] = "long pooled wide value a"; text[sizeof(text) - 2] += code ? code - 1 : 0;
+                src = ray_str_vec_set(src, i, text, code ? sizeof(text) - 1 : 0);
+                TEST_ASSERT_NOT_NULL(src); TEST_ASSERT_FALSE(RAY_IS_ERR(src));
+            }
+        }
+        ray_t* mode = ray_mode_per_group_buf(src, rows, offsets, counts, ng);
+        TEST_ASSERT_NOT_NULL(mode); TEST_ASSERT_FALSE(RAY_IS_ERR(mode));
+        for (int64_t g = 0; g < ng; g++) {
+            int hist[4] = {0}, first[4] = {32, 32, 32, 32};
+            for (int j = 0; j < 32; j++) {
+                int64_t row = g * 32 + j;
+                int code = g == 17 || row % 5 == 0 ? 0 : (int)(row % 3) + 1;
+                hist[code]++; if (first[code] == 32) first[code] = j;
+            }
+            int best = 0;
+            for (int c = 1; c <= 3; c++) if (hist[c] > hist[best] || (hist[c] == hist[best] && first[c] < first[best])) best = c;
+            TEST_ASSERT_EQ_I(wide_test_code(mode, g, symbols), best);
+        }
+        ray_release(mode);
+        for (int desc = 0; desc < 2; desc++) {
+            ray_t* top = ray_topk_per_group_buf(src, 3, desc, rows, offsets, counts, ng);
+            TEST_ASSERT_NOT_NULL(top); TEST_ASSERT_FALSE(RAY_IS_ERR(top));
+            TEST_ASSERT_EQ_I(top->len, ng);
+            for (int64_t g = 0; g < ng; g++) {
+                ray_t* cell = ray_list_get(top, g);
+                TEST_ASSERT_NOT_NULL(cell); TEST_ASSERT_EQ_I(cell->type, type);
+                TEST_ASSERT_EQ_I(cell->len, g == 17 ? 0 : 3);
+                for (int64_t i = 0; i < cell->len; i++) TEST_ASSERT_EQ_I(wide_test_code(cell, i, symbols), desc ? 3 : 1);
+            }
+            ray_release(top);
+            if (type == RAY_GUID || type == RAY_STR) {
+                ray_t* extreme = ray_wide_minmax_per_group_buf(src, desc ? OP_MAX : OP_MIN, rows, offsets, counts, ng);
+                TEST_ASSERT_NOT_NULL(extreme); TEST_ASSERT_FALSE(RAY_IS_ERR(extreme));
+                for (int64_t g = 0; g < ng; g++) TEST_ASSERT_EQ_I(wide_test_code(extreme, g, symbols), g == 17 ? 0 : desc ? 3 : 1);
+                ray_release(extreme);
+            }
+        }
+        ray_release(src);
+    }
+    ray_free_raw(rows); ray_free_raw(offsets); ray_free_raw(counts);
+    PASS();
+}
+
+/* Histogram ranks independently check both sides of the parallel grain. */
+static test_result_t test_parallel_rank_size(int64_t n) {
+    const int64_t counts[] = {n / 2, n / 2 - 17, 17};
+    const int64_t offsets[] = {0, n / 2, n - 17};
+    const int8_t types[] = {RAY_I64, RAY_F32, RAY_TIME, RAY_BOOL};
+    const double probabilities[] = {0.0, 0.25, 0.5, 0.9, 1.0};
+    int64_t* rows = ray_alloc_raw((size_t)n * sizeof(int64_t));
+    TEST_ASSERT_NOT_NULL(rows);
+    for (int64_t i = 0; i < n; i++) rows[i] = i;
+    for (size_t t = 0; t < sizeof(types) / sizeof(types[0]); t++) {
+        for (int shape = 0; shape < 2; shape++) {
+            ray_t* values = ray_vec_new(types[t], n);
+            TEST_ASSERT_NOT_NULL(values); values->len = n;
+            bool nullable = types[t] != RAY_BOOL;
+            if (nullable) values->attrs |= RAY_ATTR_HAS_NULLS;
+            int64_t histogram[3][257] = {{0}}, valid[3] = {0};
+            for (int64_t g = 0; g < 3; g++) {
+                for (int64_t j = 0; j < counts[g]; j++) {
+                    int64_t row = offsets[g] + j;
+                    int code = shape ? 256 - (int)(j * 257 / counts[g]) : (int)(row * 37 % 257);
+                    if (types[t] == RAY_BOOL) code %= 2;
+                    bool missing = nullable && (row % 97 == 0 || (shape && g == 1));
+                    if (!missing) { histogram[g][code]++; valid[g]++; }
+                    if (types[t] == RAY_I64) ((int64_t*)ray_data(values))[row] = missing ? NULL_I64 : code;
+                    else if (types[t] == RAY_TIME) ((int32_t*)ray_data(values))[row] = missing ? NULL_I32 : code;
+                    else if (types[t] == RAY_F32) ((float*)ray_data(values))[row] = missing ? NULL_F32 : code + 0.25f;
+                    else ((uint8_t*)ray_data(values))[row] = code;
+                }
+            }
+            for (int op = -1; op < 5; op++) {
+                ray_t* out = op < 0 ? ray_median_per_group_buf(values, rows, offsets, counts, 3)
+                    : ray_quantile_per_group_buf(values, rows, offsets, counts, 3, probabilities[op]);
+                TEST_ASSERT_FMT(out && !RAY_IS_ERR(out), "dominant rank failed");
+                TEST_ASSERT_EQ_I(out->type, RAY_F64);
+                for (int64_t g = 0; g < 3; g++) {
+                    if (!valid[g]) { TEST_ASSERT_TRUE(ray_vec_is_null(out, g)); continue; }
+                    double position = (op < 0 ? 0.5 : probabilities[op]) * (double)(valid[g] - 1);
+                    int64_t lo = (int64_t)position, hi = position > lo ? lo + 1 : lo;
+                    int64_t seen = 0;
+                    double lower = 0, upper = 0;
+                    for (int code = 0; code <= 256; code++) {
+                        double value = code + (types[t] == RAY_F32 ? 0.25 : 0.0);
+                        if (seen <= lo && lo < seen + histogram[g][code]) lower = value;
+                        if (seen <= hi && hi < seen + histogram[g][code]) upper = value;
+                        seen += histogram[g][code];
+                    }
+                    double expected = lower + (position - lo) * (upper - lower);
+                    TEST_ASSERT_EQ_F(((double*)ray_data(out))[g], expected, 1e-12);
+                }
+                ray_release(out);
+            }
+            ray_release(values);
+        }
+    }
+    ray_free_raw(rows);
+    PASS();
+}
+
+static test_result_t test_parallel_rank_dominant(void) {
+    ray_pool_destroy(); TEST_ASSERT_EQ_I(ray_pool_init_total(4), RAY_OK);
+    const int64_t sizes[] = {131072, 400000, 1048576};
+    for (size_t i = 0; i < sizeof(sizes) / sizeof(sizes[0]); i++) {
+        test_result_t result = test_parallel_rank_size(sizes[i]);
+        if (result.status != TEST_PASS) return result;
+    }
+    PASS();
+}
+
+/* Independent long-double moments and pair sums validate reassociation in
+ * both partitioned streaming and shared indexed consumers. */
+static test_result_t test_parallel_float_oracle(void) {
+    ray_pool_destroy(); TEST_ASSERT_EQ_I(ray_pool_init_total(4), RAY_OK);
+    const int64_t n = 262144, ng = 4096;
+    long double sx[4096] = {0}, xx[4096] = {0}, xy[4096] = {0}, weights[4096] = {0};
+    int64_t nx[4096] = {0}, np[4096] = {0};
+    ray_t* keys = ray_vec_new(RAY_I32, n);
+    ray_t* x = ray_vec_new(RAY_F64, n);
+    ray_t* y = ray_vec_new(RAY_F64, n);
+    TEST_ASSERT_NOT_NULL(keys); TEST_ASSERT_NOT_NULL(x); TEST_ASSERT_NOT_NULL(y);
+    keys->len = x->len = y->len = n;
+    x->attrs |= RAY_ATTR_HAS_NULLS; y->attrs |= RAY_ATTR_HAS_NULLS;
+    for (int64_t i = 0; i < n; i++) {
+        int64_t g = i % 3 == 0 ? 0 : i % ng;
+        double a = (i % 101 - 50) * 0.25, b = (i % 31 + 1) * 0.125;
+        bool na = i % 97 == 0 || g == 17, nb = i % 103 == 0;
+        ((int32_t*)ray_data(keys))[i] = g;
+        ((double*)ray_data(x))[i] = na ? NAN : a;
+        ((double*)ray_data(y))[i] = nb ? NAN : b;
+        if (!na) { nx[g]++; sx[g] += a; xx[g] += (long double)a * a; }
+        if (!na && !nb) { np[g]++; xy[g] += (long double)a * b; weights[g] += a; }
+    }
+    ray_t* t = ray_table_new(3);
+    t = ray_table_add_col(t, ray_sym_intern("k", 1), keys);
+    t = ray_table_add_col(t, ray_sym_intern("x", 1), x);
+    t = ray_table_add_col(t, ray_sym_intern("y", 1), y);
+    ray_env_set(ray_sym_intern("t", 1), t);
+    ray_release(t); ray_release(keys); ray_release(x); ray_release(y);
+    for (int indexed = 0; indexed < 2; indexed++) {
+        ray_t* out = ray_eval_str(indexed
+            ? "(select {from:t by:k s:(sum x) a:(avg x) v:(var_pop x) w:(wsum x y) wa:(wavg x y) m:(med x)})"
+            : "(select {from:t by:k s:(sum x) a:(avg x) v:(var_pop x) w:(wsum x y) wa:(wavg x y)})");
+        TEST_ASSERT_FMT(out && !RAY_IS_ERR(out), "floating oracle query failed");
+        TEST_ASSERT_EQ_I(ray_table_nrows(out), ng);
+        int32_t* groups = ray_data(ray_table_get_col_idx(out, 0));
+        for (int64_t r = 0; r < ng; r++) {
+            int64_t g = groups[r];
+            TEST_ASSERT_TRUE(g >= 0 && g < ng);
+            long double mean = nx[g] ? sx[g] / nx[g] : 0;
+            long double expected[] = {sx[g], mean, nx[g] ? xx[g] / nx[g] - mean * mean : 0,
+                                      xy[g], weights[g] ? xy[g] / weights[g] : 0};
+            for (int a = 0; a < 5; a++) {
+                ray_t* col = ray_table_get_col_idx(out, a + 1);
+                TEST_ASSERT_EQ_I(col->type, RAY_F64);
+                if ((a == 1 || a == 2) && !nx[g]) { TEST_ASSERT_TRUE(ray_vec_is_null(col, r)); continue; }
+                if (a == 4 && (!np[g] || !weights[g])) { TEST_ASSERT_TRUE(ray_vec_is_null(col, r)); continue; }
+                double actual = ((double*)ray_data(col))[r];
+                TEST_ASSERT_FMT(fabsl((long double)actual - expected[a]) <= 1e-9L + fabsl(expected[a]) * 1e-10L,
+                    "float oracle indexed=%d group=%lld aggregate=%d got=%.17g expected=%.17Lg",
+                    indexed, (long long)g, a, actual, expected[a]);
+            }
+        }
+        ray_release(out);
+    }
+    PASS();
+}
+
+static test_result_t test_parallel_selected_composite(void) {
+    ray_pool_destroy(); TEST_ASSERT_EQ_I(ray_pool_init_total(4), RAY_OK);
+    ray_t* setup = ray_eval_str(
+        "(set composite_i (til 262144)) "
+        "(set composite_t (table [a b v] (list (as 'I32 (* (% composite_i 4096) 4)) "
+        "(as 'I16 (% (div composite_i 4096) 2)) (- (% composite_i 101) 50)))) "
+        "(set composite_t (update {from:composite_t a:(as 'I32 0N) where:(== (% v 7) 0)}))");
+    TEST_ASSERT_NOT_NULL(setup); TEST_ASSERT_FALSE(RAY_IS_ERR(setup)); ray_release(setup);
+    int64_t counts[8194] = {0}, sums[8194] = {0}, minima[8194];
+    bool seen[8194] = {0};
+    for (int k = 0; k < 8194; k++) minima[k] = INT64_MAX;
+    int groups = 0;
+    for (int64_t r = 0; r < 262144; r++) {
+        int64_t v = r % 101 - 50;
+        if (v <= 0) continue;
+        int key = (r / 4096 % 2) * 4097 + (v % 7 == 0 ? 4096 : r % 4096);
+        if (!counts[key]) groups++;
+        counts[key]++; sums[key] += v;
+        if (v < minima[key]) minima[key] = v;
+    }
+    agg_route_reset();
+    ray_t* out = ray_eval_str("(select {from:composite_t by:[a b] s:(sum v) lo:(min v) n:(count v) where:(> v 0)})");
+    TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+    TEST_ASSERT_EQ_I(agg_route_stats().dense_strategy, AGG_DENSE_PARTITIONED);
+    TEST_ASSERT_EQ_I(ray_table_nrows(out), groups);
+    ray_t* a = ray_table_get_col_idx(out, 0); ray_t* b = ray_table_get_col_idx(out, 1);
+    TEST_ASSERT_EQ_I(a->type, RAY_I32); TEST_ASSERT_EQ_I(b->type, RAY_I16);
+    for (int64_t r = 0; r < groups; r++) {
+        int32_t x = ((int32_t*)ray_data(a))[r]; int16_t y = ((int16_t*)ray_data(b))[r];
+        int key = y * 4097 + (x == NULL_I32 ? 4096 : x / 4);
+        TEST_ASSERT_TRUE(key >= 0 && key < 8194); TEST_ASSERT_FALSE(seen[key]); seen[key] = true;
+        TEST_ASSERT_EQ_I(((int64_t*)ray_data(ray_table_get_col_idx(out, 2)))[r], sums[key]);
+        TEST_ASSERT_EQ_I(((int64_t*)ray_data(ray_table_get_col_idx(out, 3)))[r], minima[key]);
+        TEST_ASSERT_EQ_I(((int64_t*)ray_data(ray_table_get_col_idx(out, 4)))[r], counts[key]);
+    }
+    ray_release(out);
+    out = ray_eval_str("(select {from:composite_t by:[a b] s:(sum v) where:(> v 100)})");
+    TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out)); TEST_ASSERT_EQ_I(ray_table_nrows(out), 0);
+    ray_release(out);
+    PASS();
+}
+
+static test_result_t test_parallel_native_gather(void) {
+    const int8_t types[] = {RAY_BOOL, RAY_U8, RAY_I16, RAY_I32, RAY_I64,
+        RAY_F32, RAY_F64, RAY_DATE, RAY_TIME, RAY_TIMESTAMP, RAY_GUID, RAY_SYM};
+    const uint8_t widths[] = {RAY_SYM_W8, RAY_SYM_W16, RAY_SYM_W32, RAY_SYM_W64};
+    const int64_t n = 131072;
+    int64_t* rows = ray_alloc_raw((size_t)n * sizeof(int64_t));
+    TEST_ASSERT_NOT_NULL(rows);
+    for (size_t t = 0; t < sizeof(types) / sizeof(types[0]); t++) {
+        int8_t type = types[t];
+        bool nullable = type != RAY_BOOL && type != RAY_U8;
+        for (unsigned w = 0; w < (type == RAY_SYM ? 4u : 1u); w++) {
+            ray_t* source = type == RAY_SYM ? ray_sym_vec_new(widths[w], 4) : contract_fixture(type);
+            TEST_ASSERT_NOT_NULL(source); TEST_ASSERT_FALSE(RAY_IS_ERR(source));
+            if (type == RAY_SYM) {
+                source->len = 4;
+                for (int64_t i = 0; i < 4; i++) ray_write_sym(ray_data(source), i, i + 1, type, source->attrs);
+            }
+            if (nullable) ray_vec_set_null(source, 2, true);
+            ray_t* view = ray_vec_slice(source, 1, 3);
+            TEST_ASSERT_NOT_NULL(view); TEST_ASSERT_FALSE(RAY_IS_ERR(view));
+            /* Null metadata inherited from a sliced parent must survive. */
+            view->attrs &= ~RAY_ATTR_HAS_NULLS;
+            for (int64_t i = 0; i < n; i++) rows[i] = nullable && i % 7 == 0 ? -1 : i * 17 % 3;
+            ray_t* out = ray_group_gather(view, rows, n);
+            TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+            TEST_ASSERT_EQ_I(out->type, type); TEST_ASSERT_EQ_I(out->len, n);
+            size_t width = col_esz(view);
+            if (type == RAY_SYM) {
+                TEST_ASSERT_EQ_I(out->attrs & RAY_SYM_W_MASK, widths[w]);
+                TEST_ASSERT_TRUE(ray_sym_vec_domain(out) == ray_sym_vec_domain(source));
+            }
+            for (int64_t i = 0; i < n; i++) {
+                bool missing = rows[i] < 0 || (nullable && rows[i] == 1);
+                TEST_ASSERT_FMT(ray_vec_is_null(out, i) == missing,
+                    "gather %s width=%zu output=%lld source=%lld: null mismatch",
+                    ray_type_name(type), width, (long long)i, (long long)rows[i]);
+                if (rows[i] >= 0)
+                    TEST_ASSERT_TRUE(memcmp((char*)ray_data(out) + (size_t)i * width,
+                        (char*)ray_data(source) + (size_t)(rows[i] + 1) * width, width) == 0);
+            }
+            ray_t* empty = ray_group_gather(view, NULL, 0);
+            TEST_ASSERT_NOT_NULL(empty); TEST_ASSERT_FALSE(RAY_IS_ERR(empty));
+            TEST_ASSERT_EQ_I(empty->type, type); TEST_ASSERT_EQ_I(empty->len, 0);
+            ray_release(empty); ray_release(out); ray_release(view); ray_release(source);
+        }
+    }
+    ray_free_raw(rows);
+    PASS();
+}
+
+static bool contract_same_cell(ray_t* out, int64_t at, ray_t* src, int64_t row) {
+    if (row < 0) return src->type == RAY_BOOL || src->type == RAY_U8
+        ? ((uint8_t*)ray_data(out))[at] == 0 : ray_vec_is_null(out, at);
+    if (src->type == RAY_STR) {
+        size_t na = 0, nb = 0;
+        const char* a = ray_str_vec_get(out, at, &na);
+        const char* b = ray_str_vec_get(src, row, &nb);
+        return na == nb && (!na || memcmp(a, b, na) == 0);
+    }
+    size_t width = col_esz(src);
+    return memcmp((char*)ray_data(out) + (size_t)at * width,
+                  (char*)ray_data(src) + (size_t)row * width, width) == 0;
+}
+static test_result_t test_parallel_dominant_consumers(void) {
+    ray_pool_destroy(); TEST_ASSERT_EQ_I(ray_pool_init_total(3), RAY_OK);
+    const int64_t n = 524288, counts[] = {262144, 262144, 17, 0};
+    const int64_t offsets[] = {0, 262144, n, n + 17};
+    const int8_t types[] = {RAY_BOOL, RAY_U8, RAY_I16, RAY_I32, RAY_I64,
+        RAY_F32, RAY_F64, RAY_DATE, RAY_TIME, RAY_TIMESTAMP, RAY_GUID, RAY_SYM, RAY_STR};
+    int64_t* rows = ray_alloc_raw((size_t)(n + 17) * sizeof(int64_t));
+    TEST_ASSERT_NOT_NULL(rows);
+    /* Deliberately not source-row order: tie priority follows index order. */
+    for (int64_t i = 0; i < n + 17; i++) rows[i] = i < n / 2 ? (i % 2 ? 1 : 3) : i < n ? 2 : 0;
+    for (size_t t = 0; t < sizeof(types) / sizeof(types[0]); t++) {
+        int8_t type = types[t];
+        bool nullable = type != RAY_BOOL && type != RAY_U8;
+        ray_t* src = contract_fixture(type);
+        TEST_ASSERT_NOT_NULL(src); TEST_ASSERT_FALSE(RAY_IS_ERR(src));
+        if (type == RAY_GUID) {
+            memset(ray_data(src), 0, 64);
+            for (int i = 0; i < 4; i++) ((uint8_t*)ray_data(src))[16 * i] = i + 1;
+        }
+        if (nullable) ray_vec_set_null(src, 2, true);
+        if (type == RAY_I64 || type == RAY_F64) {
+            const int64_t tiny_rows[] = {3, 2, 1, 0}, off = 0, count = 4;
+            for (int desc = 0; desc < 2; desc++) {
+                ray_t* tiny = ray_topk_per_group_buf(src, 10, desc, tiny_rows, &off, &count, 1);
+                TEST_ASSERT_NOT_NULL(tiny); TEST_ASSERT_FALSE(RAY_IS_ERR(tiny));
+                ray_t* cell = ray_list_get(tiny, 0);
+                const int64_t expected_rows[] = {0, 1, 3};
+                TEST_ASSERT_EQ_I(cell->len, 3);
+                for (int i = 0; i < 3; i++)
+                    TEST_ASSERT_TRUE(contract_same_cell(cell, i, src, expected_rows[desc ? 2 - i : i]));
+                ray_release(tiny);
+            }
+        }
+        int64_t expected[] = {3, nullable && type != RAY_STR ? -1 : 2, 0, -1};
+        ray_t* mode = ray_mode_per_group_buf(src, rows, offsets, counts, 4);
+        TEST_ASSERT_NOT_NULL(mode); TEST_ASSERT_FALSE(RAY_IS_ERR(mode));
+        TEST_ASSERT_EQ_I(mode->type, type); TEST_ASSERT_EQ_I(mode->len, 4);
+        for (int g = 0; g < 4; g++)
+            TEST_ASSERT_FMT(contract_same_cell(mode, g, src, expected[g]),
+                "dominant mode %s group %d", ray_type_name(type), g);
+        ray_release(mode);
+        const int64_t ks[] = {3, 10000, 300000};
+        for (int ki = 0; ki < 3; ki++) for (int desc = 0; desc < 2; desc++) {
+            ray_t* top = ray_topk_per_group_buf(src, ks[ki], desc, rows, offsets, counts, 4);
+            TEST_ASSERT_NOT_NULL(top); TEST_ASSERT_FALSE(RAY_IS_ERR(top));
+            for (int g = 0; g < 4; g++) {
+                ray_t* cell = ray_list_get(top, g);
+                TEST_ASSERT_NOT_NULL(cell); TEST_ASSERT_EQ_I(cell->type, type);
+                int64_t length = g == 3 || (g == 1 && nullable) ? 0 : counts[g] < ks[ki] ? counts[g] : ks[ki];
+                TEST_ASSERT_EQ_I(cell->len, length);
+                for (int64_t j = 0; j < length; j++)
+                    TEST_ASSERT_FMT(contract_same_cell(cell, j, src, g == 0 ? ((desc == (j < counts[g] / 2)) ? 3 : 1) : g == 1 ? 2 : 0),
+                        "dominant top/bot %s group %d k=%lld desc=%d row=%lld", ray_type_name(type), g, (long long)ks[ki], desc, (long long)j);
+            }
+            ray_release(top);
+        }
+        if (type == RAY_GUID || type == RAY_STR) {
+            const uint16_t ops[] = {OP_MIN, OP_MAX, OP_FIRST, OP_LAST};
+            const int64_t first_group[] = {1, 3, 3, 1};
+            for (int op = 0; op < 4; op++) {
+                ray_t* out = ray_wide_minmax_per_group_buf(src, ops[op], rows, offsets, counts, 4);
+                TEST_ASSERT_NOT_NULL(out); TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+                for (int g = 0; g < 4; g++)
+                    TEST_ASSERT_TRUE(contract_same_cell(out, g, src, g == 0 ? first_group[op] : g == 2 ? 0 : -1));
+                ray_release(out);
+            }
+        }
+        ray_release(src);
+    }
+    /* Many values force local collisions and exact partition merging. All
+     * frequencies tie, so the first position must beat the smallest row id. */
+    ray_t* values = ray_vec_new(RAY_I64, n);
+    TEST_ASSERT_NOT_NULL(values); values->len = n;
+    for (int64_t i = 0; i < n; i++) {
+        ((int64_t*)ray_data(values))[i] = i % 4096;
+        rows[i] = n - 1 - i;
+    }
+    const int64_t zero = 0;
+    ray_t* mode = ray_mode_per_group_buf(values, rows, &zero, &n, 1);
+    TEST_ASSERT_NOT_NULL(mode); TEST_ASSERT_FALSE(RAY_IS_ERR(mode));
+    TEST_ASSERT_EQ_I(((int64_t*)ray_data(mode))[0], 4095);
+    ray_release(mode);
+    const int64_t uneven = n - 3, large_k = 100003;
+    int64_t histogram[4096] = {0};
+    for (int64_t i = 0; i < uneven; i++) histogram[rows[i] % 4096]++;
+    for (int desc = 0; desc < 2; desc++) {
+        ray_t* result = ray_topk_per_group_buf(values, large_k, desc, rows, &zero, &uneven, 1);
+        TEST_ASSERT_NOT_NULL(result); TEST_ASSERT_FALSE(RAY_IS_ERR(result));
+        ray_t* cell = ray_list_get(result, 0);
+        TEST_ASSERT_EQ_I(cell->len, large_k);
+        int64_t at = 0;
+        for (int c = 0; c < 4096 && at < large_k; c++) {
+            int value = desc ? 4095 - c : c;
+            for (int64_t j = 0; j < histogram[value] && at < large_k; j++)
+                TEST_ASSERT_EQ_I(((int64_t*)ray_data(cell))[at++], value);
+        }
+        TEST_ASSERT_EQ_I(at, large_k);
+        ray_release(result);
+    }
+    ray_release(values); ray_free_raw(rows);
+    PASS();
+}
+
+/* Exercise inference failures without relying on allocator fault timing. */
+static const char* empty_probe_error;
+static ray_t* empty_probe(ray_t* input) {
+    (void)input;
+    return ray_error(empty_probe_error, "empty inference probe");
+}
+static test_result_t test_empty_inference_errors(void) {
+    ray_t* fn = ray_fn_unary("empty_probe", RAY_FN_AGGR, empty_probe);
+    TEST_ASSERT_NOT_NULL(fn);
+    ray_env_set(ray_sym_intern("empty_probe", 11), fn);
+    ray_release(fn);
+    const char* codes[] = {"domain", "type", "oom", "cancel"};
+    for (int i = 0; i < 4; i++) {
+        empty_probe_error = codes[i];
+        ray_t* out = ray_eval_str("(select {from:(table [k v] (list [1 2] [3 4])) by:k where:(< k 0) a:(empty_probe v)})");
+        TEST_ASSERT_NOT_NULL(out);
+        if (i < 2) {
+            TEST_ASSERT_FALSE(RAY_IS_ERR(out));
+            TEST_ASSERT_EQ_I(ray_table_nrows(out), 0);
+            ray_t* col = ray_table_get_col(out, ray_sym_intern("a", 1));
+            TEST_ASSERT_NOT_NULL(col);
+            TEST_ASSERT_EQ_I(col->type, RAY_LIST);
+        } else {
+            TEST_ASSERT_TRUE(RAY_IS_ERR(out));
+            TEST_ASSERT_STR_EQ(ray_err_code(out), codes[i]);
+        }
+        ray_release(out);
+    }
+    PASS();
+}
+
+static test_result_t test_nth_bounds(void) {
+    double values[] = {3.0, 1.0, 2.0};
+    TEST_ASSERT_TRUE(isnan(ray_nth_dbl_inplace(NULL, 0, 0)));
+    TEST_ASSERT_TRUE(isnan(ray_nth_dbl_inplace(values, 0, 0)));
+    TEST_ASSERT_TRUE(isnan(ray_nth_dbl_inplace(values, 3, -1)));
+    TEST_ASSERT_TRUE(isnan(ray_nth_dbl_inplace(values, 3, 3)));
+    TEST_ASSERT_TRUE(ray_nth_dbl_inplace(values, 3, 0) == 1.0);
+    TEST_ASSERT_TRUE(ray_nth_dbl_inplace(values, 3, 2) == 3.0);
     PASS();
 }
 
@@ -599,15 +1693,31 @@ static test_result_t test_cancelled_group(void) {
 }
 
 const test_entry_t agg_contract_entries[] = {
+    { "agg_contract/empty_inference_errors", test_empty_inference_errors, contract_setup, contract_teardown },
+    { "agg_contract/nth_bounds", test_nth_bounds, contract_setup, contract_teardown },
+    { "agg_contract/native_binary_output", test_native_binary_output, contract_setup, contract_teardown },
+    { "agg_contract/native_streaming_output", test_native_streaming_output, contract_setup, contract_teardown },
     { "agg_contract/unary_types_values", test_unary_contracts, contract_setup, contract_teardown },
     { "agg_contract/pairwise_numeric", test_pairwise_numeric_contracts, contract_setup, contract_teardown },
     { "agg_contract/registry_admission", test_registry_admission_contracts, contract_setup, contract_teardown },
     { "agg_contract/routes_bool_outputs", test_group_routes_and_bool_outputs, contract_setup, contract_teardown },
+    { "agg_contract/narrow_extrema_limits", test_narrow_extrema_limits, contract_setup, contract_teardown },
+    { "agg_contract/dense_strategies", test_dense_strategies, contract_setup, contract_teardown },
+    { "agg_contract/dense_symbol_output", test_dense_symbol_output, contract_setup, contract_teardown },
+    { "agg_contract/dense_task_local", test_dense_task_local, contract_setup, contract_teardown },
     { "agg_contract/rank_widths_nulls_slices", test_rank_widths_nulls_and_slices, contract_setup, contract_teardown },
     { "agg_contract/nullable_differential", test_nullable_differential, contract_setup, contract_teardown },
     { "agg_contract/wide_key_routes", test_wide_key_routes, contract_setup, contract_teardown },
     { "agg_contract/fused_typed_comparisons", test_fused_typed_comparisons, contract_setup, contract_teardown },
     { "agg_contract/count_distinct_typed_routes", test_count_distinct_typed_routes, contract_setup, contract_teardown },
+    { "agg_contract/indexed_parallel_layout", test_indexed_parallel_layout, contract_setup, contract_teardown },
+    { "agg_contract/wide_count_distinct", test_wide_count_distinct, contract_setup, contract_teardown },
+    { "agg_contract/parallel_wide_consumers", test_parallel_wide_consumers, contract_setup, contract_teardown },
+    { "agg_contract/parallel_rank_dominant", test_parallel_rank_dominant, contract_setup, contract_teardown },
+    { "agg_contract/parallel_float_oracle", test_parallel_float_oracle, contract_setup, contract_teardown },
+    { "agg_contract/parallel_selected_composite", test_parallel_selected_composite, contract_setup, contract_teardown },
+    { "agg_contract/parallel_native_gather", test_parallel_native_gather, contract_setup, contract_teardown },
+    { "agg_contract/parallel_dominant_consumers", test_parallel_dominant_consumers, contract_setup, contract_teardown },
     { "agg_contract/cancelled_group", test_cancelled_group, contract_setup, contract_teardown },
     { NULL, NULL, NULL, NULL },
 };
diff --git a/test/test_heap.c b/test/test_heap.c
index b58ffd29..2054f7b1 100644
--- a/test/test_heap.c
+++ b/test/test_heap.c
@@ -318,9 +318,10 @@ static test_result_t test_scratch_arena_direct_backing(void) {
                   + ray_block_data_bytes(a.backing[0]);
     TEST_ASSERT_TRUE(a.end <= cap_end);
 
-    /* Consequently the next push cannot be carved out of the leftover of
-     * a block that has none: it must take a backing of its own. */
-    size_t follow = 4u << 20;
+    /* A reused direct block may be larger than the request. Exceed its
+     * actual remaining capacity so the next push needs a new backing,
+     * independently of allocations made by earlier tests. */
+    size_t follow = (size_t)(cap_end - a.ptr) + (4u << 20);
     unsigned char* q = (unsigned char*)ray_scratch_arena_push(&a, follow);
     TEST_ASSERT_NOT_NULL(q);
     TEST_ASSERT_EQ_I(a.n_backing, 2);