Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/23248#discussion_r240026330
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/python/ExtractPythonUDFs.scala
---
@@ -131,8 +131,20 @@ object ExtractPythonUDFs extends Rule[LogicalPlan]
with PredicateHelper {
expressions.flatMap(collectEvaluableUDFs)
}
- def apply(plan: LogicalPlan): LogicalPlan = plan transformUp {
- case plan: LogicalPlan => extract(plan)
+ def apply(plan: LogicalPlan): LogicalPlan = plan match {
+ // SPARK-26293: A subquery will be rewritten into join later, and will
go through this rule
+ // eventually. Here we skip subquery, as Python UDF only needs to be
extracted once.
+ case _: Subquery => plan
--- End diff --
I think you have a point here. If subquery will be converted to join, why
do we need to optimize subquery ahead?
Anyway, that's something we need to discuss later. cc @dilipbiswal for the
subquery question.
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