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https://issues.apache.org/jira/browse/SPARK-10727?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14986311#comment-14986311
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Rick Hillegas commented on SPARK-10727:
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Can this issue be resolved now? Thanks.
> Dataframe count is zero after 'except' operation
> ------------------------------------------------
>
> Key: SPARK-10727
> URL: https://issues.apache.org/jira/browse/SPARK-10727
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Satish Kolli
>
> Data frame count after the except operation is always returning zero even
> when there is data in the resulting data frame.
> {code}
> scala> val df1 = sc.parallelize(1 to 5).toDF("V1")
> df1: org.apache.spark.sql.DataFrame = [V1: int]
> scala> val df2 = sc.parallelize(2 to 5).toDF("V2")
> df2: org.apache.spark.sql.DataFrame = [V2: int]
> scala> df1.except(df2).show()
> +---+
> | V1|
> +---+
> | 1|
> +---+
> scala> df1.except(df2).count()
> res4: Long = 0
> scala> df1.except(df2).rdd.count()
> res5: Long = 1
> scala>
> {code}
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