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From "Stavros Kontopoulos (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-17959) spark.sql.join.preferSortMergeJoin has no effect for simple join
Date Sun, 16 Oct 2016 10:38:20 GMT

     [ https://issues.apache.org/jira/browse/SPARK-17959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Stavros Kontopoulos updated SPARK-17959:
----------------------------------------
    Description: 
Example code:   
val df = spark.sparkContext.parallelize(List(("A", 10, "dss@s1"), ("A", 20, "dss@s2"),
      ("B", 1, "dss@qqa"), ("B", 2, "dss@qqb"))).toDF("Group", "Amount", "Email")

    df.as("a").join(df.as("b"))
      .where($"a.Group" === $"b.Group")
      .explain()

I always get the SortMerge strategy even if i set spark.sql.join.preferSortMergeJoin to false
since:
sinzeInBytes = 2^63-1
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala#L101
and thus:
condition here: https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala#L127
is always false...
I think this shouldnt be the case...

  was:
Example code:   
val df = spark.sparkContext.parallelize(List(("A", 10, "dss@s1"), ("A", 20, "dss@s2"),
      ("B", 1, "dss@qqa"), ("B", 2, "dss@qqb"))).toDF("Group", "Amount", "Email")

    df.as("a").join(df.as("b"))
      .where($"a.Group" === $"b.Group")
      .explain()

I always get the SortMerge strategy even if i set spark.sql.join.preferSortMergeJoin to false
since:
sinzeInBytes = 2^63-1
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala#L101
and thus:
condition here: https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala#L127
is always false...


> spark.sql.join.preferSortMergeJoin has no effect for simple join
> ----------------------------------------------------------------
>
>                 Key: SPARK-17959
>                 URL: https://issues.apache.org/jira/browse/SPARK-17959
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.1
>            Reporter: Stavros Kontopoulos
>
> Example code:   
> val df = spark.sparkContext.parallelize(List(("A", 10, "dss@s1"), ("A", 20, "dss@s2"),
>       ("B", 1, "dss@qqa"), ("B", 2, "dss@qqb"))).toDF("Group", "Amount", "Email")
>     df.as("a").join(df.as("b"))
>       .where($"a.Group" === $"b.Group")
>       .explain()
> I always get the SortMerge strategy even if i set spark.sql.join.preferSortMergeJoin
to false since:
> sinzeInBytes = 2^63-1
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/ExistingRDD.scala#L101
> and thus:
> condition here: https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala#L127
> is always false...
> I think this shouldnt be the case...



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