Add EMR Serverless interactive session support to Amazon provider#69207
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Add operators, sensor and triggers to manage the lifecycle of EMR Serverless interactive (Spark Connect) sessions: start, wait, fetch the Spark Connect endpoint, and terminate. Start/Stop operators and the sensor support deferrable mode. The GetSessionEndpoint operator masks the short-lived auth token. Includes waiters, docs, a system-test example DAG, and unit tests. Requires botocore 1.43.0+ (declared separately). Document botocore/aiobotocore requirements for EMR Serverless sessions Interactive sessions need botocore 1.43.0+ (and aiobotocore 3.6.0+ for deferrable mode) plus EMR 7.13+. Note this in the docs instead of raising the provider's dependency floor, so users who do not use interactive sessions are not forced onto newer AWS SDK versions.
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Add operators, a sensor, and triggers to manage the lifecycle of EMR Serverless
interactive (Spark Connect) sessions: start a session, wait until it is ready,
fetch the Spark Connect endpoint, and terminate it. The start/stop operators and
the sensor support deferrable mode. GetSessionEndpoint registers the short-lived
auth token with the secrets masker. Includes waiters, docs, a system-test example
DAG, and unit tests.
Requires botocore 1.42.94+.
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