xuyangzhong commented on code in PR #25932:
URL: https://github.com/apache/flink/pull/25932#discussion_r2125410525


##########
flink-table/flink-table-planner/src/test/resources/org/apache/flink/table/planner/plan/stream/sql/join/WindowJoinTest.xml:
##########
@@ -199,35 +199,19 @@ 
LogicalSink(table=[default_catalog.default_database.sink2], fields=[window_start
       <![CDATA[
 Sink(table=[default_catalog.default_database.sink1], fields=[window_start, 
window_end, user_id, dt, hour])
 +- Calc(select=[window_start, window_end, user_id, DATE_FORMAT(+(window_end, 
25200000:INTERVAL HOUR), 'yyyyMMdd') AS dt, DATE_FORMAT(+(window_end, 
25200000:INTERVAL HOUR), 'HH') AS hour])
-   +- WindowJoin(leftWindow=[TUMBLE(win_start=[window_start], 
win_end=[window_end], size=[1 min])], 
rightWindow=[TUMBLE(win_start=[window_start], win_end=[window_end], size=[1 
min])], joinType=[LeftOuterJoin], where=[=(user_id, user_id0)], 
select=[user_id, window_start, window_end, user_id0, window_start0, 
window_end0])
-      :- Exchange(distribution=[hash[user_id]])
-      :  +- GlobalWindowAggregate(groupBy=[user_id], 
window=[TUMBLE(slice_end=[$slice_end], size=[1 min])], select=[user_id, 
start('w$) AS window_start, end('w$) AS window_end])
-      :     +- Exchange(distribution=[hash[user_id]])
-      :        +- LocalWindowAggregate(groupBy=[user_id], 
window=[TUMBLE(time_col=[event_time], size=[1 min])], select=[user_id, 
slice_end('w$) AS $slice_end])
-      :           +- WatermarkAssigner(rowtime=[event_time], 
watermark=[event_time])
-      :              +- TableSourceScan(table=[[default_catalog, 
default_database, food_order, project=[user_id, event_time], metadata=[]]], 
fields=[user_id, event_time])
+   +- GlobalWindowAggregate(groupBy=[user_id], 
window=[TUMBLE(slice_end=[$slice_end], size=[1 min])], select=[user_id, 
start('w$) AS window_start, end('w$) AS window_end])

Review Comment:
   I believe we should make some minor adjustments to this test, as it was 
primarily designed to test the combination of window joins and global window 
aggregations in a multi-sink context. I want to ensure that the current changes 
do not compromise the validity of this test.



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