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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/24 03:06:04 UTC
[jira] [Commented] (SPARK-9292) Analysis should check that join
conditions' data types are booleans
[ https://issues.apache.org/jira/browse/SPARK-9292?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14639756#comment-14639756 ]
Apache Spark commented on SPARK-9292:
-------------------------------------
User 'JoshRosen' has created a pull request for this issue:
https://github.com/apache/spark/pull/7630
> Analysis should check that join conditions' data types are booleans
> -------------------------------------------------------------------
>
> Key: SPARK-9292
> URL: https://issues.apache.org/jira/browse/SPARK-9292
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Reporter: Josh Rosen
> Assignee: Josh Rosen
>
> The following data frame query should fail analysis but instead fails at runtime:
> {code}
> val df = Seq((1, 1)).toDF("a", "b")
> df.join(df, df.col("a"))
> {code}
> This should fail with an AnalysisException because the column "A" is not a boolean and thus cannot be used as a join condition.
> This can be fixed by adding a new analysis rule which checks that the join condition has BooleanType.
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