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https://issues.apache.org/jira/browse/SPARK-44251?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17738762#comment-17738762
 ] 

Bruce Robbins commented on SPARK-44251:
---------------------------------------

This is similar to, but not quite the same as SPARK-43718, and the fix will be 
similar too.

I will make a PR shortly.
 

> Potential for incorrect results or NPE when full outer USING join has null 
> key value
> ------------------------------------------------------------------------------------
>
>                 Key: SPARK-44251
>                 URL: https://issues.apache.org/jira/browse/SPARK-44251
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.5.0
>            Reporter: Bruce Robbins
>            Priority: Major
>
> The following query produces incorrect results:
> {noformat}
> create or replace temp view v1 as values (1, 2), (null, 7) as (c1, c2);
> create or replace temp view v2 as values (2, 3) as (c1, c2);
> select explode(array(c1)) as x
> from v1
> full outer join v2
> using (c1);
> -1   <== should be null
> 1
> 2
> {noformat}
> The following query fails with a {{NullPointerException}}:
> {noformat}
> create or replace temp view v1 as values ('1', 2), (null, 7) as (c1, c2);
> create or replace temp view v2 as values ('2', 3) as (c1, c2);
> select explode(array(c1)) as x
> from v1
> full outer join v2
> using (c1);
> 23/06/25 17:06:39 ERROR Executor: Exception in task 0.0 in stage 14.0 (TID 11)
> java.lang.NullPointerException
>       at 
> org.apache.spark.sql.catalyst.expressions.codegen.UnsafeWriter.write(UnsafeWriter.java:110)
>       at 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.generate_doConsume_0$(Unknown
>  Source)
>       at 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.smj_consumeFullOuterJoinRow_0$(Unknown
>  Source)
>       at 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.wholestagecodegen_findNextJoinRows_0$(Unknown
>  Source)
>       at 
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.processNext(Unknown
>  Source)
>       at 
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
>       at 
> org.apache.spark.sql.execution.WholeStageCodegenEvaluatorFactory$WholeStageCodegenPartitionEvaluator$$anon$1.hasNext(WholeStageCodegenEvaluatorFactory.scala:43)
> ...
> {noformat}



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