huaxingao commented on a change in pull request #33584:
URL: https://github.com/apache/spark/pull/33584#discussion_r680198489
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanRelationPushDown.scala
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@@ -57,7 +57,11 @@ object V2ScanRelationPushDown extends Rule[LogicalPlan] with
PredicateHelper {
// `postScanFilters` and `pushedFilters` can overlap, e.g. the parquet
row group filter.
val (pushedFilters, postScanFiltersWithoutSubquery) =
PushDownUtils.pushFilters(
sHolder.builder, normalizedFiltersWithoutSubquery)
- val postScanFilters = postScanFiltersWithoutSubquery ++
normalizedFiltersWithSubquery
+ var postScanFilters = postScanFiltersWithoutSubquery ++
normalizedFiltersWithSubquery
+ val partitionFilters = PushDownUtils
+ .pushPartitionFilters(sHolder.builder, sHolder.relation,
normalizedFiltersWithoutSubquery)
+ postScanFilters =
+ (ExpressionSet(postScanFilters) --
partitionFilters.filter(_.references.nonEmpty)).toSeq
Review comment:
Here we have subtracted the `partitionFilters` from the
`postScanFilters`. If the file based data source only has partition filters,
then the `postScanFilters` should be empty here, and we can push down aggregate
for file based data source.
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