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Original file line number Diff line number Diff line change
Expand Up @@ -171,8 +171,16 @@ case class AdaptiveSparkPlanExec(
stagesToReplace = result.newStages ++ stagesToReplace
executionId.foreach(onUpdatePlan(_, result.newStages.map(_.plan)))

// We should materialize BroadcastQueryState first to avoid broadcast timeout
// Sort the new stages by class type to make sure BroadcastQueryState precede others
val reorderedNewStages = result.newStages
.sortWith {
case (_: BroadcastQueryStageExec, _: BroadcastQueryStageExec) => false
case (_: BroadcastQueryStageExec, _) => true
case _ => false
}
// Start materialization of all new stages and fail fast if any stages failed eagerly
result.newStages.foreach { stage =>
reorderedNewStages.foreach { stage =>
try {
stage.materialize().onComplete { res =>
if (res.isSuccess) {
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Original file line number Diff line number Diff line change
Expand Up @@ -421,6 +421,29 @@ abstract class BroadcastJoinSuiteBase extends QueryTest with SQLTestUtils
assert(e.getMessage.contains(s"Could not execute broadcast in $timeout secs."))
}
}

test("SPARK-33933: AQE broadcast should not timeout with slow map tasks") {
val broadcastTimeoutInSec = 5
val df = spark.sparkContext.parallelize(Range(0, 1000), 1000)
.flatMap(x => {
Thread.sleep(20)
for (i <- Range(0, 100)) yield (x % 26, x % 10)
}).toDF("index", "pv")
val dim = Range(0, 26).map(x => (x, ('a' + x).toChar.toString))
.toDF("index", "name")
val testDf = df.groupBy("index")
.agg(sum($"pv").alias("pv"))
.join(dim, Seq("index"))
withSQLConf(SQLConf.BROADCAST_TIMEOUT.key -> broadcastTimeoutInSec.toString,
SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true") {
val startTime = System.currentTimeMillis()
val result = testDf.collect()
val queryTime = System.currentTimeMillis() - startTime
assert(result.length == 26)
// make sure the execution time is large enough
assert(queryTime > (broadcastTimeoutInSec + 1) * 1000)
}
}
}

class BroadcastJoinSuite extends BroadcastJoinSuiteBase with DisableAdaptiveExecutionSuite
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