JkSelf commented on a change in pull request #31994:
URL: https://github.com/apache/spark/pull/31994#discussion_r603823927
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
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@@ -1543,4 +1543,27 @@ class AdaptiveQueryExecSuite
assert(materializeLogs(0).startsWith("Materialize query stage
BroadcastQueryStageExec"))
assert(materializeLogs(1).startsWith("Materialize query stage
ShuffleQueryStageExec"))
}
+
+ test("SPARK-34899: Use origin plan if we can not coalesce shuffle
partition") {
+ def check(ds: Dataset[Row], origin: ShuffleOrigin): Unit = {
+ ds.collect()
+ val plan =
ds.queryExecution.executedPlan.asInstanceOf[AdaptiveSparkPlanExec].executedPlan
+ assert(collect(plan) {
+ case c: CustomShuffleReaderExec => c
+ }.isEmpty)
+ assert(collect(plan) {
+ case s: ShuffleExchangeExec if s.shuffleOrigin == origin &&
s.numPartitions == 3 => s
+ }.size == 1)
+ checkAnswer(ds, testData)
+ }
+
+ withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
+ SQLConf.COALESCE_PARTITIONS_ENABLED.key -> "true",
+ SQLConf.ADVISORY_PARTITION_SIZE_IN_BYTES.key -> "10",
+ SQLConf.COALESCE_PARTITIONS_MIN_PARTITION_NUM.key -> "1",
+ SQLConf.SHUFFLE_PARTITIONS.key -> "3") {
+ check(testData.repartition(), REPARTITION)
Review comment:
`CoalesceShufflePartitions` rule depend on the map output statistics to
coalesce the shuffle partitions. I think this size is more meaningful here.
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