[jira] [Resolved] (SPARK-16316) dataframe except API returning wrong result in spark 1.5.0

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16316?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-16316.
-------------------------------
    Resolution: Not A Problem

Really, I suspect this was fixed before 1.6 but I don't know exactly where. With respect to recent versions it's not a problem.

> dataframe except API returning wrong result in spark 1.5.0
> ----------------------------------------------------------
>
>                 Key: SPARK-16316
>                 URL: https://issues.apache.org/jira/browse/SPARK-16316
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.0
>            Reporter: Jacky Li
>
> Version: spark 1.5.0
> Use case:  use except API to do subtract between two dataframe
> scala> val dfa = sc.parallelize(1 to 100).map(x => (x, x)).toDF("i", "j")
> dfa: org.apache.spark.sql.DataFrame = [i: int, j: int]
> scala> val dfb = sc.parallelize(1 to 10).map(x => (x, x)).toDF("i", "j")
> dfb: org.apache.spark.sql.DataFrame = [i: int, j: int]
> scala> dfa.except(dfb).count
> res13: Long = 0
> It should return 90 instead of 0
> While following statement works fine
> scala> dfa.except(dfb).rdd.count
> res13: Long = 90
> I guess the bug maybe somewhere in dataframe.count



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