zhongyu09 commented on a change in pull request #31167:
URL: https://github.com/apache/spark/pull/31167#discussion_r559988554
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
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@@ -190,7 +191,36 @@ case class AdaptiveSparkPlanExec(
executionId.foreach(onUpdatePlan(_, result.newStages.map(_.plan)))
// Start materialization of all new stages and fail fast if any
stages failed eagerly
- result.newStages.foreach { stage =>
+
+ // SPARK-33933: we should materialize broadcast stages first and
wait the
+ // materialization finish before materialize other stages, to avoid
waiting
+ // for broadcast tasks to be scheduled and leading to broadcast
timeout.
+ val broadcastMaterializationFutures = result.newStages
+ .filter(_.isInstanceOf[BroadcastQueryStageExec])
+ .map { stage =>
+ var future: Future[Any] = null
+ try {
+ future = stage.materialize()
+ future.onComplete { res =>
+ if (res.isSuccess) {
+ events.offer(StageSuccess(stage, res.get))
+ } else {
+ events.offer(StageFailure(stage, res.failed.get))
+ }
+ }(AdaptiveSparkPlanExec.executionContext)
+ } catch {
+ case e: Throwable =>
+ cleanUpAndThrowException(Seq(e), Some(stage.id))
+ }
+ future
+ }
+
+ // Wait for the materialization of all broadcast stages finish
Review comment:
> the broadcast is triggered during preparing the SparkPlan
Sorry for didn't make it clear. I agree with this from the beginning.
> The point is, whether the shuffle stage needs to wait for the broadcast
finishes.
I think _needs to wait for_. You can see from the logs above, the job 1 is
submitted after the broadcast finish ( I print the log in relationFuture =>
promise.trySuccess ). I add sleep 2 sec in broadcast to make it clear.
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