cloud-fan commented on code in PR #45234:
URL: https://github.com/apache/spark/pull/45234#discussion_r1684091860
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sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/ShuffleExchangeExec.scala:
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@@ -47,6 +47,15 @@ import org.apache.spark.util.random.XORShiftRandom
*/
trait ShuffleExchangeLike extends Exchange {
+ /**
+ * The asynchronous job that materializes the shuffle. It also does the
preparations work,
+ * such as waiting for the subqueries.
+ */
+ @transient private lazy val shuffleFuture: Future[MapOutputStatistics] =
executeQuery {
+ materializationStarted.set(true)
Review Comment:
After a closer look, I don't think this change works as we expect. We set
this `materializationStarted` flag before we return the `Future`, which means
we are still on the AQE loop's main thread. That said, once we submit a query
stage, its `materializationStarted` becomes true immediately and we can't
really avoid the wasted query stage execution.
The test passed because `ShuffleExchangeExec` calls `child.execute()` before
returning the `Future`. Then we exit the AQE loop without cancelling other
stages.
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