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Posted to issues@spark.apache.org by "Saurabh (JIRA)" <ji...@apache.org> on 2017/05/30 07:48:04 UTC
[jira] [Comment Edited] (SPARK-20913) Reference is ambiguous
exception during dropDuplicates
[ https://issues.apache.org/jira/browse/SPARK-20913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16028816#comment-16028816 ]
Saurabh edited comment on SPARK-20913 at 5/30/17 7:47 AM:
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Thanks Takeshi for your comment but sadly the response time for spark-mailing list is quite long. (I have posted there too )
I need a solution to this a bit urgent , hence I created a jira.
Wish anyone here can help me out with a solution.
was (Author: storm0111):
Thanks Takeshi for your comment but sadly the response time for spark-mailing list is quite long. I need a solution to this a bit urgent , hence I created a jira.
Wish anyone here can help me out with a solution.
> Reference is ambiguous exception during dropDuplicates
> ------------------------------------------------------
>
> Key: SPARK-20913
> URL: https://issues.apache.org/jira/browse/SPARK-20913
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 1.6.0
> Environment: Spark 1.6
> Reporter: Saurabh
> Labels: PySpark
> Original Estimate: 216h
> Remaining Estimate: 216h
>
> I'm getting an error when I try to do .dropDuplicates, its giving u"Reference 'xcol14x' is ambiguous exception.
> Changing the alias cannot be a solution as , if I have 40 column in each dataframe its merely impossible to change the name of each.
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