cloud-fan commented on a change in pull request #26409: [SPARK-29655][SQL] Read
bucketed tables obeys spark.sql.shuffle.partitions
URL: https://github.com/apache/spark/pull/26409#discussion_r345287434
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/exchange/EnsureRequirements.scala
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@@ -83,7 +83,25 @@ case class EnsureRequirements(conf: SQLConf) extends
Rule[SparkPlan] {
numPartitionsSet.headOption
}
- val targetNumPartitions =
requiredNumPartitions.getOrElse(childrenNumPartitions.max)
+ // maxNumPostShufflePartitions is usually larger than
numShufflePartitions,
+ // which causes some bucket map join lose efficacy after enabling
adaptive execution.
+ // Please see SPARK-29655 for more details.
+ val expectedChildrenNumPartitions = if (conf.adaptiveExecutionEnabled) {
Review comment:
it's indeed clearer to have a dedicated config, but I'd like to have a
better solution that can make decisions automatically instead of relying on
configs. We can think about it later.
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