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https://issues.apache.org/jira/browse/SPARK-30186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yuming Wang resolved SPARK-30186.
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Fix Version/s: 3.2.0
Assignee: Ke Jia
Resolution: Fixed
> support Dynamic Partition Pruning in Adaptive Execution
> -------------------------------------------------------
>
> Key: SPARK-30186
> URL: https://issues.apache.org/jira/browse/SPARK-30186
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Xiaoju Wu
> Assignee: Ke Jia
> Priority: Major
> Fix For: 3.2.0
>
>
> Currently Adaptive Execution cannot work if Dynamic Partition Pruning is
> applied.
> private def supportAdaptive(plan: SparkPlan): Boolean = {
> // TODO migrate dynamic-partition-pruning onto adaptive execution.
> sanityCheck(plan) &&
> !plan.logicalLink.exists(_.isStreaming) &&
>
> *!plan.expressions.exists(_.find(_.isInstanceOf[DynamicPruningSubquery]).isDefined)*
> &&
> plan.children.forall(supportAdaptive)
> }
> It means we cannot benefit the performance from both AE and DPP.
> This ticket is target to make DPP + AE works together.
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