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https://issues.apache.org/jira/browse/SPARK-34581?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan resolved SPARK-34581.
---------------------------------
    Resolution: Fixed

Issue resolved by pull request 32396
[https://github.com/apache/spark/pull/32396]

> BoundAttribute issue after optimization by BooleanSimplification and 
> PushFoldableIntoBranches
> ---------------------------------------------------------------------------------------------
>
>                 Key: SPARK-34581
>                 URL: https://issues.apache.org/jira/browse/SPARK-34581
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 3.0.2, 3.1.1, 3.2.0
>            Reporter: Yuming Wang
>            Assignee: Peter Toth
>            Priority: Major
>             Fix For: 3.2.0
>
>
> BoundAttribute issue will occur after optimization by BooleanSimplification 
> and PushFoldableIntoBranches. How to reproduce this issue:
> {code:scala}
> spark.sql("CREATE TABLE t1 (a INT, b INT) USING parquet")
> spark.sql("CREATE TABLE t2 (a INT, b INT) USING parquet")
>       spark.sql(
>         """
>           |SELECT cnt,
>           |       NOT ( buyer_id ) AS buyer_id2
>           |FROM   (SELECT t1.a IS NOT NULL AS buyer_id,
>           |               Count(*)         AS cnt
>           |        FROM   t1
>           |               INNER JOIN t2
>           |                       ON t1.a = t2.a
>           |        GROUP  BY 1) t 
>           |""".stripMargin).collect()
> {code}
> {noformat}
> Couldn't find a#4 in [CASE WHEN isnotnull(a#4) THEN 1 ELSE 2 
> END#10,count(1)#3L]
> java.lang.IllegalStateException: Couldn't find a#4 in [CASE WHEN 
> isnotnull(a#4) THEN 1 ELSE 2 END#10,count(1)#3L]
>       at 
> org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:80)
>       at 
> org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:73)
>       at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$1(TreeNode.scala:316)
>       at 
> org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72)
>       at 
> org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:316)
>       at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDown$3(TreeNode.scala:321)
>       at 
> org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:406)
>       at 
> org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:242)
>       at 
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:404)
>       at 
> org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:357)
> {noformat}
> Another case:
> {code:scala}
> spark.sql(
>   """
>     |SELECT cnt,
>     |       CASE WHEN ( buyer_id = 2 AND cnt > 3 ) THEN 2 ELSE 3 END AS 
> buyer_id2
>     |FROM   (SELECT CASE WHEN t1.a IS NOT NULL THEN 1 ELSE 2 END AS buyer_id, 
> Count(*) AS cnt
>     |        FROM   t1 INNER JOIN t2 ON t1.a = t2.a
>     |        GROUP  BY 1) t
>     |""".stripMargin).collect()
> {code}



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