Github user tdas commented on a diff in the pull request:
https://github.com/apache/spark/pull/11030#discussion_r52084635
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala
---
@@ -150,36 +205,40 @@ class StreamExecution(
streamProgress.synchronized {
// Update the offsets and calculate a new composite offset
newOffsets.foreach(streamProgress.update)
- val newStreamProgress = logicalPlan.collect {
- case StreamingRelation(source, _) => streamProgress.get(source)
- }
- val batchOffset = CompositeOffset(newStreamProgress)
// Construct the batch and send it to the sink.
+ val batchOffset = streamProgress.toCompositeOffset(sources)
val nextBatch = new Batch(batchOffset, new DataFrame(sqlContext,
newPlan))
sink.addBatch(nextBatch)
}
- batchRun = true
awaitBatchLock.synchronized {
// Wake up any threads that are waiting for the stream to progress.
awaitBatchLock.notifyAll()
}
val batchTime = (System.nanoTime() - startTime).toDouble / 1000000
- logInfo(s"Compete up to $newOffsets in ${batchTime}ms")
+ logInfo(s"Completed up to $newOffsets in ${batchTime}ms")
}
logDebug(s"Waiting for data, current: $streamProgress")
}
+ private def postEvent(event: ContinuousQueryListener.Event) {
+ sqlContext.streams.postListenerEvent(event)
+ }
+
/**
* Signals to the thread executing micro-batches that it should stop
running after the next
* batch. This method blocks until the thread stops running.
*/
- def stop(): Unit = {
- shouldRun = false
- if (microBatchThread.isAlive) { microBatchThread.join() }
+ override def stop(): Unit = {
+ state = TERMINATED
--- End diff --
But it is used to figure out whether the interrupt on that thread was
intentional (with stop, and in that case ignore it) or accidentally (in which
case report it).
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