jingz-db commented on code in PR #50926:
URL: https://github.com/apache/spark/pull/50926#discussion_r2093745489
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/pythonLogicalOperators.scala:
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@@ -215,10 +216,15 @@ case class TransformWithStateInPySpark(
left.output.take(groupingAttributesLen)
}
- def rightAttributes: Seq[Attribute] = {
+ def rightAttributes(includesInitialStateColumns: Boolean = false):
Seq[Attribute] = {
assert(resolved, "This method is expected to be called after resolution.")
if (hasInitialState) {
- right.output.take(initGroupingAttrsLen)
+ if (includesInitialStateColumns) {
+ // Include the initial state columns in the references to avoid being
column pruned.
Review Comment:
If I understand correctly for your PR descrption, the column pruning happens
inside optimizer? Do you have a code pointer to where in the optimizer that the
column get pruned?
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