[
https://issues.apache.org/jira/browse/SPARK-26767?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16754882#comment-16754882
]
Marco Gaido commented on SPARK-26767:
-------------------------------------
IIRC there was a similar JIRA reported. May you please try in a newer version
(ideally current branch-2.3)? This may have been fixed.
> 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: SQL
> 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
> Priority: Major
>
> 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.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
