Angryrou commented on code in PR #48649: URL: https://github.com/apache/spark/pull/48649#discussion_r1831678244
########## 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: Yes, it is.  -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
