anishshri-db commented on code in PR #44884:
URL: https://github.com/apache/spark/pull/44884#discussion_r1473270336
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sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/TransformWithStateExec.scala:
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@@ -152,22 +159,116 @@ case class TransformWithStateExec(
override protected def doExecute(): RDD[InternalRow] = {
metrics // force lazy init at driver
- child.execute().mapPartitionsWithStateStore[InternalRow](
- getStateInfo,
- schemaForKeyRow,
- schemaForValueRow,
- numColsPrefixKey = 0,
- session.sqlContext.sessionState,
- Some(session.sqlContext.streams.stateStoreCoordinator),
- useColumnFamilies = true
- ) {
- case (store: StateStore, singleIterator: Iterator[InternalRow]) =>
- val processorHandle = new StatefulProcessorHandleImpl(store,
getStateInfo.queryRunId)
- assert(processorHandle.getHandleState ==
StatefulProcessorHandleState.CREATED)
- statefulProcessor.init(processorHandle, outputMode)
-
processorHandle.setHandleState(StatefulProcessorHandleState.INITIALIZED)
- val result = processDataWithPartition(singleIterator, store,
processorHandle)
- result
+ // If the query is running in batch mode, we need to create a new
StateStore and instantiate
Review Comment:
Can we move this comment to the `else` section below ?
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