dongjoon-hyun commented on code in PR #55628:
URL: https://github.com/apache/spark/pull/55628#discussion_r3170416338
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/PlanMerger.scala:
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@@ -416,18 +425,37 @@ class PlanMerger(
}
case (np: Join, cp: Join) if np.joinType == cp.joinType && np.hint ==
cp.hint =>
- // Filter propagation across joins is not yet supported.
- tryMergePlans(np.left, cp.left, false).flatMap {
- case TryMergeResult(mergedLeft, leftNPMapping, None, None) =>
- tryMergePlans(np.right, cp.right, false).flatMap {
- case TryMergeResult(mergedRight, rightNPMapping, None, None) =>
+ tryMergePlans(np.left, cp.left, filterPropagationSupported).flatMap {
+ case TryMergeResult(mergedLeft, leftNPMapping, leftNPFilter,
leftCPFilter) =>
+ tryMergePlans(np.right, cp.right,
filterPropagationSupported).flatMap {
+ case TryMergeResult(mergedRight, rightNPMapping,
rightNPFilter, rightCPFilter)
+ // If both children independently propagate filter
attributes we would need to
+ // AND them into a new alias above the join, which is not
yet supported.
+ if !(leftNPFilter.isDefined && rightNPFilter.isDefined) &&
+ !(leftCPFilter.isDefined && rightCPFilter.isDefined) &&
+ // Gate join-crossing filter propagation behind its own
config flag.
+ // When no filter attributes are in play the merge is
unconditionally safe.
+ (leftNPFilter.isEmpty && leftCPFilter.isEmpty &&
+ rightNPFilter.isEmpty && rightCPFilter.isEmpty ||
+ filterPropagationThroughJoinEnabled) &&
+ // A filter attribute is only safe to propagate through
a join if it comes
+ // from the "preserved" (non-nullable) side. On the
nullable side, unmatched
+ // rows are NULL-padded so f=NULL, causing FILTER
(WHERE f) to incorrectly
+ // exclude rows that should contribute to the
aggregate. Right-side
+ // attributes are also absent from semi/anti join
output.
+ (leftNPFilter.isEmpty && leftCPFilter.isEmpty ||
Review Comment:
`isEmpty &&` -> `isEmpty &&` because the Apache Spark community doesn't use
vertical alignment.
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