Xiaoju Wu created SPARK-30186:
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Summary: 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
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.
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