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Posted to issues@spark.apache.org by "Satish Kolli (JIRA)" <ji...@apache.org> on 2015/09/21 15:53:04 UTC

[jira] [Created] (SPARK-10727) Dataframe count is zero after 'except' operation

Satish Kolli created SPARK-10727:
------------------------------------

             Summary: Dataframe count is zero after 'except' operation
                 Key: SPARK-10727
                 URL: https://issues.apache.org/jira/browse/SPARK-10727
             Project: Spark
          Issue Type: Bug
            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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