Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/16785#discussion_r100484586
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/LogicalPlan.scala
---
@@ -314,19 +322,29 @@ abstract class UnaryNode extends LogicalPlan {
* expressions with the corresponding alias
*/
protected def getAliasedConstraints(projectList: Seq[NamedExpression]):
Set[Expression] = {
- var allConstraints = child.constraints.asInstanceOf[Set[Expression]]
- projectList.foreach {
- case a @ Alias(e, _) =>
- // For every alias in `projectList`, replace the reference in
constraints by its attribute.
- allConstraints ++= allConstraints.map(_ transform {
- case expr: Expression if expr.semanticEquals(e) =>
- a.toAttribute
- })
- allConstraints += EqualNullSafe(e, a.toAttribute)
- case _ => // Don't change.
- }
-
- allConstraints -- child.constraints
+ val relativeReferences = AttributeSet(projectList.collect {
+ case a: Alias => a
+ }.flatMap(_.references))
+ val parAllConstraints =
child.constraints.asInstanceOf[Set[Expression]].filter { constraint =>
+ constraint.references.intersect(relativeReferences).nonEmpty
+ }.par
+ parAllConstraints.tasksupport = UnaryNode.taskSupport
--- End diff --
Do they have the same parallelism level? BTW, I saw the parallel collection
used in other places in Spark all take custom task support.
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