cloud-fan commented on a change in pull request #27558:
[SPARK-30806][SQL]Evaluate once per group in UnboundedWindowFunctionFrame
URL: https://github.com/apache/spark/pull/27558#discussion_r378872179
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/window/WindowFunctionFrame.scala
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@@ -284,9 +284,7 @@ final class UnboundedWindowFunctionFrame(
/** Write the frame columns for the current row to the given target row. */
override def write(index: Int, current: InternalRow): Unit = {
- // Unfortunately we cannot assume that evaluation is deterministic. So we
need to re-evaluate
- // for each row.
- if (processor != null) {
+ if (processor != null && (index == 0)) {
Review comment:
so unbounded window frame means we only need to calculate result once and
always return the result for each input row?
Then shall we call `processor.evaluate(target)` in `prepare` and do thing in
`write`?
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