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Bruce Robbins commented on SPARK-43718: --------------------------------------- PR here: https://github.com/apache/spark/pull/41267 > References to a specific side's key in a USING join can have wrong nullability > ------------------------------------------------------------------------------ > > Key: SPARK-43718 > URL: https://issues.apache.org/jira/browse/SPARK-43718 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 3.3.2, 3.4.0, 3.5.0 > Reporter: Bruce Robbins > Priority: Major > Labels: correctness > > Assume this data: > {noformat} > create or replace temp view t1 as values (1), (2), (3) as (c1); > create or replace temp view t2 as values (2), (3), (4) as (c1); > {noformat} > The following query produces incorrect results: > {noformat} > spark-sql (default)> select explode(array(t1.c1, t2.c1)) as x1 > from t1 > full outer join t2 > using (c1); > 1 > -1 <== should be null > 2 > 2 > 3 > 3 > -1 <== should be null > 4 > Time taken: 0.663 seconds, Fetched 8 row(s) > spark-sql (default)> > {noformat} > Similar issues occur with right outer join and left outer join. > {{t1.c1}} and {{t2.c1}} have the wrong nullability at the time the array is > resolved, so the array's {{containsNull}} value is incorrect. > Queries that don't use arrays also can get wrong results. Assume this data: > {noformat} > create or replace temp view t1 as values (0), (1), (2) as (c1); > create or replace temp view t2 as values (1), (2), (3) as (c1); > create or replace temp view t3 as values (1, 2), (3, 4), (4, 5) as (a, b); > {noformat} > The following query produces incorrect results: > {noformat} > select t1.c1 as t1_c1, t2.c1 as t2_c1, b > from t1 > full outer join t2 > using (c1), > lateral ( > select b > from t3 > where a = coalesce(t2.c1, 1) > ) lt3; > 1 1 2 > NULL 3 4 > Time taken: 2.395 seconds, Fetched 2 row(s) > spark-sql (default)> > {noformat} > The result should be the following: > {noformat} > 0 NULL 2 > 1 1 2 > NULL 3 4 > {noformat} -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org