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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.
---------------------------------
    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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