[jira] [Created] (SPARK-26767) Filter on a dropDuplicates dataframe gives inconsistency result

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

Jeffrey created SPARK-26767:
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             Summary: Filter on a dropDuplicates dataframe gives inconsistency result
                 Key: SPARK-26767
                 URL: https://issues.apache.org/jira/browse/SPARK-26767
             Project: Spark
          Issue Type: Bug
          Components: Build
    Affects Versions: 2.3.0
         Environment: To repeat the problem,

(1) create a csv file with records holding same values for a subset of columns (e.g. colA, colB, colC).

(2) read the csv file as a spark dataframe and then use dropDuplicates to dedup the subset of columns (i.e. dropDuplicates(["colA", "colB", "colC"]))

(3) select the resulting dataframe with where clause. (i.e. df.where("colA = 'A' and colB='B' and colG='G' and colH='H').show(100,False))

 

=> When (3) is rerun, it gives different number of resulting rows.
            Reporter: Jeffrey


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