perf(indexing): soft-commit instead of hard-commit, keeping documents searchable - #196
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The mock returns null without it, and a strict stub on the one-argument commit would be flagged unnecessary once apache#196's soft commit lands. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CiUHyyXLTo9ATdgg8eRFZJ Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com>
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… searchable Every indexing tool -- JSON, CSV, XML and markdown -- funnels through indexDocuments, and indexDocuments ended with solrClient.commit(collection). That is a hard commit: it fsyncs the segments, so each tool call waited on the storage device. That is not what Solr's own defaults do. The _default configset ships autoCommit at maxTime 15000 with openSearcher=false, and autoSoftCommit at 3000: a background hard commit purely to truncate the transaction log, and soft commits for visibility. Forcing a synchronous fsync per tool call fought that design. The commit is now waitFlush=false, waitSearcher=true, softCommit=true. waitSearcher keeps the guarantee that matters to a tool caller: the documents are searchable the moment the call returns. Verified 30/30 with zero delay. Durability is unchanged. The transaction log is written on the add, before any commit, so documents survive a crash regardless of commit mode; a hard commit governs how much tlog must be replayed on recovery, not whether data is lost. That housekeeping stays with autoCommit. Measured against Solr, 20 interleaved reps, same endpoint and document, only the commit parameter varying: no commit 4.05 ms median soft commit 8.61 ms median, p90 10.65 hard commit 18.94 ms median, p90 41.32 2.2x faster and far tighter -- the hard commit's p90 is four times its median, which is fsync variance. Over the MCP tools, 61 single-document calls go from 1853 ms to 585 ms. Operators running a custom configset with autoCommit disabled should enable it, or the transaction log grows until something else commits. Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com> Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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The commit riding on the /update request was a hard one (setAction(COMMIT, waitFlush=true, waitSearcher=true)), so every CSV or XML tool call fsynced the segments and waited on the storage device. That is not what Solr's own defaults do. The _default configset ships autoCommit at maxTime 15000 with openSearcher=false, and autoSoftCommit at 3000: a background hard commit purely to truncate the transaction log, and soft commits for visibility. Forcing a synchronous fsync per tool call fought that design. The action is now setAction(COMMIT, waitFlush=false, waitSearcher=true, softCommit=true). waitSearcher keeps the guarantee that matters to a tool caller: the documents are searchable the moment the call returns. Durability is unchanged -- the transaction log is written on the add, before any commit, so documents survive a crash regardless of commit mode; a hard commit governs how much tlog must be replayed on recovery, not whether data is lost. Measured against Solr, 20 interleaved reps, same endpoint and document, only the commit parameter varying: no commit 4.05 ms median soft commit 8.61 ms median, p90 10.65 hard commit 18.94 ms median, p90 41.32 2.2x faster and far tighter -- the hard commit's p90 is four times its median, which is fsync variance. Over the MCP tools, 61 single-document CSV calls go from 1853 ms to 585 ms. This is the CSV/XML half of the same change apache#196 makes to indexDocuments, which covers the JSON and markdown tools. Carrying it here keeps the four indexing tools consistent whichever of the two PRs merges first. Operators running a custom configset with autoCommit disabled should enable it, or the transaction log grows until something else commits. Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com> Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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What happens if you do a softCommit, but the softCommit plumbing isn't set up? Can we confirm that IF you use solrcloud you have soft commit set up.... (or normally do at least!). You may have found a weakness, what happens if you request a soft commit and we haven't set up a trnasaction log etc???/. This might actually be an issue at the SolrJ layer? |
actually, turns out according to ref guide that you MUST have tlog set up in solrcloud mode! |
The commit riding on the /update request was a hard one (setAction(COMMIT, waitFlush=true, waitSearcher=true)), so every CSV or XML tool call fsynced the segments and waited on the storage device. That is not what Solr's own defaults do. The _default configset ships autoCommit at maxTime 15000 with openSearcher=false, and autoSoftCommit at 3000: a background hard commit purely to truncate the transaction log, and soft commits for visibility. Forcing a synchronous fsync per tool call fought that design. The action is now setAction(COMMIT, waitFlush=false, waitSearcher=true, softCommit=true). waitSearcher keeps the guarantee that matters to a tool caller: the documents are searchable the moment the call returns. Durability is unchanged -- the transaction log is written on the add, before any commit, so documents survive a crash regardless of commit mode; a hard commit governs how much tlog must be replayed on recovery, not whether data is lost. Measured against Solr, 20 interleaved reps, same endpoint and document, only the commit parameter varying: no commit 4.05 ms median soft commit 8.61 ms median, p90 10.65 hard commit 18.94 ms median, p90 41.32 2.2x faster and far tighter -- the hard commit's p90 is four times its median, which is fsync variance. Over the MCP tools, 61 single-document CSV calls go from 1853 ms to 585 ms. This is the CSV/XML half of the same change apache#196 makes to indexDocuments, which covers the JSON and markdown tools. Carrying it here keeps the four indexing tools consistent whichever of the two PRs merges first. Operators running a custom configset with autoCommit disabled should enable it, or the transaction log grows until something else commits. Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com> Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
…#205) * refactor(indexing): forward CSV and XML to Solr's own update handlers Solr already parses CSV and its own update XML. The server's CSV and XML document creators re-implemented that, and the XML one did it with a convention of its own: a generic <shows><show> mapping that prefixed every field with the record element (show_title) and dropped the id, so XML was the one format whose documents did not match the same data in JSON, CSV or Markdown. Both creators are removed, along with the orchestrator's CSV/XML paths and the commons-csv dependency. The two tools now forward the payload, as given, to Solr's /update handler: - index-csv-documents sends the CSV with header=true. Solr reads the header for the field names, so column names are used as given. Repeated column names are multi-valued fields and empty cells are skipped. - index-xml-documents takes Solr update XML, <add><doc><field name="...">, the format every Solr user already has. Solr's update XML grammar is a command language: <delete>, <commit>, <optimize> and <rollback> go to the same endpoint as <add>, so a tool that forwarded blindly would let an indexing call delete a collection. SolrUpdateXml.requireAddBlock reads the payload with a hardened StAX parser (DTD off, external entities off) only as far as the root element and rejects a DOCTYPE or any root but <add>; Solr parses the rest. Solr's update response carries a status and a QTime but no document count, so the two tools report that Solr accepted and committed the payload instead of an invented "indexed N of N", and the index-data prompt points at the health check for the count. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01MJSxr89SRAa7BTC8Jg27Rj Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com> * test(data): add CSV and XML show sample datasets and cross-format integration tests Port shows.csv, shows.xml, and ShowsSampleDataIntegrationTest from PR #201. The integration test verifies that JSON, CSV, and XML datasets index the exact same 61 documents into Solr. Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com> Co-authored-by: Junie <junie@jetbrains.com> * refactor(indexing): use SolrJ and Spring constants, drop one Solr round trip Follow-up cleanup on the CSV/XML pass-through, no behaviour change beyond the commit folding below. Reuse: - The XML content type was spelled out as a literal; SolrJ ships it as ClientUtils.TEXT_XML with exactly that value. (The CSV side keeps its literal: ContentStreamBase.TEXT_CSV is private.) - SolrUpdateXml configured an XMLInputFactory by hand. Spring's StaxUtils.createDefensiveInputFactory() sets the same two properties and additionally installs a no-op XMLResolver, so it is strictly more hardened. It is now a static field: XMLInputFactory.newFactory() runs a ServiceLoader scan of the whole classpath on every call, and the factory is never reconfigured after construction, which is the sharing contract StAX requires. - IndexingServiceIntegrationTest is a @SpringBootTest that overwrote its own @Autowired beans with hand-built ones, under a comment claiming it is not a Spring Boot test. IndexingService is @observed, so the test was exercising an unproxied object rather than the one the application runs. Efficiency: - forward() posted the payload and then posted a separate commit. The commit now rides on the same request via setAction(ACTION.COMMIT), which removes a round trip per CSV/XML call and makes the status and QTime the message reports actually cover the commit it claims. The two mock tests that pinned the second call now assert commit=true on the request. Simplification: - describeIndexedFields/describeFieldNames was split when three tools reported field names; only the JSON tool does now, so it is one method again. The indexDocuments javadoc that had drifted onto a constant is reattached. - SolrUpdateXml's ClosingReader record existed only to make one XMLStreamReader try-with-resources-able; the source is an in-memory StringReader and XMLStreamReader.close() does not close it. - Removed the emptied "Apache Commons" heading left by dropping commons-csv. Docs that still described the deleted parsers: IndexingDocumentCreator's class javadoc, the test tree in dev-docs/ARCHITECTURE.md, and the FAQ's claim that CSV and XML get field sanitization and 10 MB guards. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014XuwC2kdJ6Q1dDDZMHDCee Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com> * refactor(native): register test fixtures via TestRuntimeHintsRegistrar The sample data was made readable from the native test binary with a raw hosted option in the Gradle args list: -H:IncludeResources=shows\.(csv|xml)$ That is the wrong seam and the wrong scope. dev-docs/graalvm-native-image.md says to add a targeted registration through a hints registrar and prefer it over other mechanisms "so the rule is explicit and reviewed", so the next person adding a fixture does not find the precedent where the docs point. And the rule being encoded is not the name of one dataset. Replaced with a TestRuntimeHintsRegistrar wired through src/test/resources/META-INF/spring/aot.factories, which spring-test invokes for every test class. It lives in test sources deliberately: SolrNativeHints is the production equivalent and must not ship test fixture names in the application image. The patterns name the three fixtures rather than matching by extension. registerPattern compiles * to .*, which crosses /, so a *.xml here would embed all 124 XML resources present on this project's 210-jar test classpath, declaring every dependency's XML to be a test fixture. Registering shows.json alongside its siblings is not redundant: Spring AOT registers .*\.json globally, so the JSON fixture was covered by the framework while the CSV and XML ones were not. Covering all three in one place makes the dataset intentional rather than two-thirds accidental. Verified with ./gradlew nativeTest -Pnative: 244 passed, 0 failed, 142 skipped (skips unchanged from baseline), with ShowsSampleDataIntegrationTest executing natively. A negative control with the registrar unregistered fails that test alone, on "NullPointerException: missing test resource /shows.csv", confirming the registration is load-bearing and not a no-op replacing an unnecessary flag. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014XuwC2kdJ6Q1dDDZMHDCee Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com> * perf(indexing): soft-commit the CSV and XML forward as well The commit riding on the /update request was a hard one (setAction(COMMIT, waitFlush=true, waitSearcher=true)), so every CSV or XML tool call fsynced the segments and waited on the storage device. That is not what Solr's own defaults do. The _default configset ships autoCommit at maxTime 15000 with openSearcher=false, and autoSoftCommit at 3000: a background hard commit purely to truncate the transaction log, and soft commits for visibility. Forcing a synchronous fsync per tool call fought that design. The action is now setAction(COMMIT, waitFlush=false, waitSearcher=true, softCommit=true). waitSearcher keeps the guarantee that matters to a tool caller: the documents are searchable the moment the call returns. Durability is unchanged -- the transaction log is written on the add, before any commit, so documents survive a crash regardless of commit mode; a hard commit governs how much tlog must be replayed on recovery, not whether data is lost. Measured against Solr, 20 interleaved reps, same endpoint and document, only the commit parameter varying: no commit 4.05 ms median soft commit 8.61 ms median, p90 10.65 hard commit 18.94 ms median, p90 41.32 2.2x faster and far tighter -- the hard commit's p90 is four times its median, which is fsync variance. Over the MCP tools, 61 single-document CSV calls go from 1853 ms to 585 ms. This is the CSV/XML half of the same change #196 makes to indexDocuments, which covers the JSON and markdown tools. Carrying it here keeps the four indexing tools consistent whichever of the two PRs merges first. Operators running a custom configset with autoCommit disabled should enable it, or the transaction log grows until something else commits. Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com> Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> --------- Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com> Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com> Co-authored-by: Junie <junie@jetbrains.com>
…103 #104 apache#205) into sb4 Resolves the conflicts against main and ports what merged cleanly but would not compile on the Boot 4 / Jackson 3 line: - gradle/libs.versions.toml: keep the Boot 4 test starters and the mcp-sdk pin, add spring-security-test (apache#187), drop commons-csv (apache#205). - JsonDocumentCreator: take apache#202's flatten()/toDocument() split with Jackson 3 imports and JacksonException. - CollectionServiceIntegrationTest / IndexingServiceIntegrationTest: take main's typed-documents and autowired-creator setup. - TestDocuments, JsonDocumentCreatorTest (new on main): com.fasterxml -> tools.jackson, JsonMapper.builder().build(), JacksonException. - IndexingServiceIntegrationTest: add the assertThrows static import that sb4's explicit-import expansion left out for apache#205's new XML test. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> Signed-off-by: Aditya Parikh <aditya.m.parikh@gmail.com>
indexDocumentsended every indexing tool call withsolrClient.commit(collection)— a hard commit, which fsyncs the segments, so each call waited on the storage device. All four indexing tools (index-json-documents,index-csv-documents,index-xml-documents,index-markdown-documents) funnel through it, so that one line governed the whole indexing surface.Solr's own
_defaultconfigset does the opposite:autoCommitatmaxTime15000 withopenSearcher=false— a background hard commit purely to truncate the transaction log — andautoSoftCommitat 3000 for visibility. Forcing a synchronous fsync per tool call fought that design.The commit is now
commit(collection, waitFlush=false, waitSearcher=true, softCommit=true).waitSearcher=truekeeps the guarantee that matters to a tool caller: the documents are searchable the moment the call returns. Verified 30/30 with zero delay.add, before any commit, so documents survive a crash regardless of commit mode. A hard commit governs how much tlog must be replayed on recovery, not whether data is lost; that housekeeping stays withautoCommit.Measurement
20 interleaved reps against Solr, same endpoint and document, only the commit parameter varying:
2.2x faster and far tighter — the hard commit's p90 is four times its median, which is fsync variance. Over the MCP tools, 61 single-document calls go from 1853 ms to 585 ms.
Operator note
A custom configset with
autoCommitdisabled should enable it, or the transaction log grows until something else commits. The_defaultconfigset already does.Tests
IndexingServiceTest.indexDocuments_SoftCommitsSoDocumentsAreSearchableWithoutForcingAnFsyncpins the soft-commit overload and asserts the hard-commit overload is never used; the existing stubs and verifications in that class move to the four-argument overload../gradlew build: 404 tests, 0 failures.🤖 Generated with Claude Code