[jira] [Assigned] (SPARK-15825) sort-merge-join gives invalid results when joining on a tupled key

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-15825?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-15825:
------------------------------------

    Assignee: Apache Spark

> sort-merge-join gives invalid results when joining on a tupled key
> ------------------------------------------------------------------
>
>                 Key: SPARK-15825
>                 URL: https://issues.apache.org/jira/browse/SPARK-15825
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>         Environment: spark 2.0.0-SNAPSHOT
>            Reporter: Andres Perez
>            Assignee: Apache Spark
>
> {noformat}
>   import org.apache.spark.sql.functions
>   val left = List("0", "1", "2").toDS()
>     .map{ k => ((k, 0), "l") }
>   val right = List("0", "1", "2").toDS()
>     .map{ k => ((k, 0), "r") }
>   val result = left.toDF("k", "v").as[((String, Int), String)].alias("left")
>     .joinWith(right.toDF("k", "v").as[((String, Int), String)].alias("right"), functions.col("left.k") === functions.col("right.k"), "inner")
>     .as[(((String, Int), String), ((String, Int), String))]
> {noformat}
> When broadcast joins are enabled, we get the expected output:
> {noformat}
> (((0,0),l),((0,0),r))
> (((1,0),l),((1,0),r))
> (((2,0),l),((2,0),r))
> {noformat}
> However, when broadcast joins are disabled (i.e. setting spark.sql.autoBroadcastJoinThreshold to -1), the result is incorrect:
> {noformat}
> (((2,0),l),((2,-1),))
> (((0,0),l),((0,-313907893),))
> (((1,0),l),((null,-313907893),))
> {noformat}



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