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https://issues.apache.org/jira/browse/SPARK-57843?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Max Gekk updated SPARK-57843:
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Shepherd: Max Gekk
> Support nanosecond-precision timestamps in streaming stateful operators
> -----------------------------------------------------------------------
>
> Key: SPARK-57843
> URL: https://issues.apache.org/jira/browse/SPARK-57843
> Project: Spark
> Issue Type: Sub-task
> Components: Structured Streaming
> Affects Versions: 4.3.0
> Reporter: Max Gekk
> Priority: Major
>
> This sub-task is part of the umbrella SPARK-56822 (timestamps with nanosecond
> precision).
> h2. Problem
> Streaming stateful operators assume microsecond {{Long}} event times:
> {{StreamingSymmetricHashJoinExec}} (~L747, ~L980-984) uses {{getLong}} and
> {{watermarkMs * 1000}}; {{StreamingSessionWindowStateManager}} (~L135)
> hard-codes {{TimestampType}} in the state key schema;
> {{SymmetricHashJoinStateManager}} reads event times via {{getLong}}. The
> {{RocksDBStateEncoder}} is schema-generic, but the operators above are not.
> h2. Goal
> Allow nanosecond event-time columns to flow through stream-stream join
> eviction and session-window state, preserving nanosecond resolution in state
> keys and eviction comparisons.
> h2. Scope
> Update the state schema and eviction/read paths in the listed operators to
> handle {{TimestampNanosVal}}.
> h2. Acceptance criteria
> * Stream-stream joins and session windows keyed on / bounded by nanosecond
> event time evict and emit correctly.
> h2. Testing
> {{StreamingJoinSuite}}, {{StreamingSessionWindowSuite}}.
> h2. Dependencies
> Do AFTER SPARK-57830 (event-time watermark on nanosecond columns) and
> SPARK-57829 (window/session_window over nanosecond timestamps).
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