[pull] master from apache:master - #621
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…tch runner (#39793) * [runners-spark] Support stateful ParDo in the Structured Streaming batch runner Stateful, timer-using and @RequiresTimeSortedInput DoFns are dispatched to a new StatefulParDoTranslatorBatch, which groups by key and sorts each group by event time; StatefulDoFnGroupFunction then runs the DoFn per key with in-memory state and timers. Additional (tagged) outputs are encoded as one column per tag and split into per-tag datasets, mirroring the stateless multi-output translation in ParDoTranslatorBatch, keeping the single-output fast path. Requires Spark 3.4+ for KeyValueGroupedDataset#flatMapSortedGroups; earlier versions are rejected at translation time rather than failing mid-job. - Enable the UsesStatefulParDo, UsesKeyInParDo, UsesTimersInParDo, UsesMapState, UsesMultimapState, UsesSetState and UsesTimerMap ValidatesRunner categories for validatesStructuredStreamingRunnerBatch - Exclude UsesOrderedListState: every such test also uses @OnWindowExpiration, which is not supported - Exclude PerKeyOrderingTest#testMultipleStatefulOrdering* by name: they build on PeriodicImpulse and so are unbounded, but are not categorized as UsesUnboundedPCollections, and adding that category upstream would also stop other runners running them @OnWindowExpiration remains unsupported (#22524).
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