[
https://issues.apache.org/jira/browse/SPARK-15825?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-15825:
------------------------------------
Assignee: (was: 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
>
> {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}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
