[jira] [Updated] (SPARK-30186) support Dynamic Partition Pruning in Adaptive Execution

["Dongjoon Hyun (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-30186?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun updated SPARK-30186:
----------------------------------
    Target Version/s: 3.1.0

> support Dynamic Partition Pruning in Adaptive Execution
> -------------------------------------------------------
>
>                 Key: SPARK-30186
>                 URL: https://issues.apache.org/jira/browse/SPARK-30186
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Xiaoju Wu
>            Priority: Major
>             Fix For: 3.0.0
>
>
> 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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org