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https://issues.apache.org/jira/browse/SPARK-16316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15357553#comment-15357553
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Xiao Li commented on SPARK-16316:
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How about 1.6 and 2.0?
> 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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