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

["Andres Perez (JIRA)" <ji...@apache.org>]

Andres Perez created SPARK-15825:
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             Summary: 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


{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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