gengliangwang commented on a change in pull request #28805:
URL: https://github.com/apache/spark/pull/28805#discussion_r444675403
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PruneFileSourcePartitions.scala
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@@ -87,8 +88,17 @@ private[sql] object PruneFileSourcePartitions extends
Rule[LogicalPlan] {
_,
_))
if filters.nonEmpty && fsRelation.partitionSchemaOption.isDefined =>
- val (partitionKeyFilters, _) = getPartitionKeyFiltersAndDataFilters(
- fsRelation.sparkSession, logicalRelation, partitionSchema, filters,
logicalRelation.output)
+ val predicates =
conjunctiveNormalFormAndGroupExpsByReference(filters.reduceLeft(And))
Review comment:
Yeah, in brief:
* if we are pushing predicates through Join, then we can group by the
qualifier since there are multiple tables.
* if we are pushing predicates to underlying file source of a table, we
should group by the reference.
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