ulysses-you commented on code in PR #41088:
URL: https://github.com/apache/spark/pull/41088#discussion_r1189456831
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileSourceStrategy.scala:
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@@ -188,7 +188,13 @@ object FileSourceStrategy extends Strategy with
PredicateHelper with Logging {
// Partition keys are not available in the statistics of the files.
// `dataColumns` might have partition columns, we need to filter them
out.
val dataColumnsWithoutPartitionCols =
dataColumns.filterNot(partitionSet.contains)
- val dataFilters = normalizedFiltersWithoutSubqueries.flatMap { f =>
+ // Scalar subquery can be pushed down as data filter at runtime, since
we always
+ // execute subquery first.
+ // It has no meaning to push down bloom filter, so skip it.
+ val normalizedFiltersWithScalarSubqueries = normalizedFilters
+ .filterNot(e => e.containsPattern(PLAN_EXPRESSION) &&
!e.containsPattern(SCALAR_SUBQUERY))
Review Comment:
it seems impossible, we have rewritten the correlated scalar subquery at
Optimizer side. Otherwise it would break tons of things, e.g., the partition
filter with sclar subquery.
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