cloud-fan commented on code in PR #48649:
URL: https://github.com/apache/spark/pull/48649#discussion_r1831539867


##########
sql/core/src/test/resources/sql-tests/analyzer-results/pipe-operators.sql.out:
##########
@@ -2769,6 +2741,239 @@ org.apache.spark.sql.catalyst.ExtendedAnalysisException
 }
 
 
+-- !query
+table windowTestData
+|> select cate, sum(val) over w
+   window w as (partition by cate order by val)
+-- !query analysis
+Project [cate#x, sum(val) OVER (PARTITION BY cate ORDER BY val ASC NULLS FIRST 
RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)#xL]
++- Project [cate#x, val#x, sum(val) OVER (PARTITION BY cate ORDER BY val ASC 
NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)#xL, sum(val) 
OVER (PARTITION BY cate ORDER BY val ASC NULLS FIRST RANGE BETWEEN UNBOUNDED 
PRECEDING AND CURRENT ROW)#xL]
+   +- Window [sum(val#x) windowspecdefinition(cate#x, val#x ASC NULLS FIRST, 
specifiedwindowframe(RangeFrame, unboundedpreceding$(), currentrow$())) AS 
sum(val) OVER (PARTITION BY cate ORDER BY val ASC NULLS FIRST RANGE BETWEEN 
UNBOUNDED PRECEDING AND CURRENT ROW)#xL], [cate#x], [val#x ASC NULLS FIRST]
+      +- Project [cate#x, val#x]
+         +- SubqueryAlias windowtestdata
+            +- View (`windowTestData`, [val#x, val_long#xL, val_double#x, 
val_date#x, val_timestamp#x, cate#x])
+               +- Project [cast(val#x as int) AS val#x, cast(val_long#xL as 
bigint) AS val_long#xL, cast(val_double#x as double) AS val_double#x, 
cast(val_date#x as date) AS val_date#x, cast(val_timestamp#x as timestamp) AS 
val_timestamp#x, cast(cate#x as string) AS cate#x]
+                  +- Project [val#x, val_long#xL, val_double#x, val_date#x, 
val_timestamp#x, cate#x]
+                     +- SubqueryAlias testData
+                        +- LocalRelation [val#x, val_long#xL, val_double#x, 
val_date#x, val_timestamp#x, cate#x]
+
+
+-- !query
+table windowTestData
+|> select cate, sum(val) over w
+   window w as (order by val_timestamp range between unbounded preceding and 
current row)
+-- !query analysis
+Project [cate#x, sum(val) OVER (ORDER BY val_timestamp ASC NULLS FIRST RANGE 
BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)#xL]
++- Project [cate#x, val#x, val_timestamp#x, sum(val) OVER (ORDER BY 
val_timestamp ASC NULLS FIRST RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT 
ROW)#xL, sum(val) OVER (ORDER BY val_timestamp ASC NULLS FIRST RANGE BETWEEN 
UNBOUNDED PRECEDING AND CURRENT ROW)#xL]
+   +- Window [sum(val#x) windowspecdefinition(val_timestamp#x ASC NULLS FIRST, 
specifiedwindowframe(RangeFrame, unboundedpreceding$(), currentrow$())) AS 
sum(val) OVER (ORDER BY val_timestamp ASC NULLS FIRST RANGE BETWEEN UNBOUNDED 
PRECEDING AND CURRENT ROW)#xL], [val_timestamp#x ASC NULLS FIRST]
+      +- Project [cate#x, val#x, val_timestamp#x]
+         +- SubqueryAlias windowtestdata
+            +- View (`windowTestData`, [val#x, val_long#xL, val_double#x, 
val_date#x, val_timestamp#x, cate#x])
+               +- Project [cast(val#x as int) AS val#x, cast(val_long#xL as 
bigint) AS val_long#xL, cast(val_double#x as double) AS val_double#x, 
cast(val_date#x as date) AS val_date#x, cast(val_timestamp#x as timestamp) AS 
val_timestamp#x, cast(cate#x as string) AS cate#x]
+                  +- Project [val#x, val_long#xL, val_double#x, val_date#x, 
val_timestamp#x, cate#x]
+                     +- SubqueryAlias testData
+                        +- LocalRelation [val#x, val_long#xL, val_double#x, 
val_date#x, val_timestamp#x, cate#x]
+
+
+-- !query
+table windowTestData
+|> select cate, val
+    window w as (partition by cate order by val)

Review Comment:
   is unused window spec also ok in classic SQL?



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