Github user liancheng commented on a diff in the pull request:
https://github.com/apache/spark/pull/2188#discussion_r17032019
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/columnar/InMemoryColumnarTableScan.scala
---
@@ -110,8 +199,26 @@ private[sql] case class InMemoryColumnarTableScan(
attributes.map(a => relation.output.indexWhere(_.exprId ==
a.exprId))
}
- iterator
- .map(batch =>
requestedColumns.map(batch(_)).map(ColumnAccessor(_)))
+ val rows = iterator
+ // Skip pruned batches
+ .filter { cachedBatch =>
+ if (!partitionFilter(cachedBatch.stats)) {
--- End diff --
Do you mean the risk of generating wrong query results? Hm... agree to add
a flag. I did encounter several cases that I didn't covered at first when
testing this branch.
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