Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/3646#discussion_r110041174
--- Diff:
flink-libraries/flink-table/src/test/scala/org/apache/flink/table/api/scala/stream/sql/WindowAggregateTest.scala
---
@@ -299,27 +299,6 @@ class WindowAggregateTest extends TableTestBase {
}
@Test
- def testGroupWithFloorExpression() = {
- val sql = "SELECT COUNT(*) FROM MyTable GROUP BY FLOOR(localTimestamp
TO HOUR)"
--- End diff --
I think we need to discuss with the community how to distinguish
non-windowed and windowed group aggregates. At the moment `GROUP BY
FLOOR(rowtime() TO HOUR)` is translated into a tumbling event time window. By
adding support for non-windows aggregates, it could also be executed as a such,
i.e., with early firing and late update instead of a final result when the
window is closed. The final result should be the same, but the behavior during
execution would be different.
I think a good approach would be to only translate group window functions
(TUMBLE, HOP, SESSION) into group windows and treat everything else as
non-windowed aggregation.
We should move this discussion to the mailing list though. I don't think we
have to wait for a decision for this issue to continue.
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