viirya commented on a change in pull request #30998:
URL: https://github.com/apache/spark/pull/30998#discussion_r551156203
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
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@@ -189,8 +189,17 @@ case class AdaptiveSparkPlanExec(
stagesToReplace = result.newStages ++ stagesToReplace
executionId.foreach(onUpdatePlan(_, result.newStages.map(_.plan)))
+ // SPARK-33933: we should submit tasks of broadcast stages first, to
avoid waiting
+ // for tasks to be scheduled and leading to broadcast timeout.
+ val reorderedNewStages = result.newStages
Review comment:
Will this workaround be flaky? Does the order of calling `materialize`
guarantee that the order of task to be scheduled to run?
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