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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:01:08 UTC
[jira] [Updated] (SPARK-16683) Group by does not work after
multiple joins of the same dataframe
[ https://issues.apache.org/jira/browse/SPARK-16683?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-16683:
---------------------------------
Labels: bulk-closed correctness (was: correctness)
> Group by does not work after multiple joins of the same dataframe
> -----------------------------------------------------------------
>
> Key: SPARK-16683
> URL: https://issues.apache.org/jira/browse/SPARK-16683
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.0, 1.6.1, 1.6.2, 2.0.0
> Environment: local and yarn
> Reporter: Witold Jędrzejewski
> Priority: Major
> Labels: bulk-closed, correctness
> Attachments: Duplicates Problem Presentation.json, code_2.0.txt
>
>
> When I join a dataframe, group by a field from it, then join it again by different field and group by field from it, second aggregation does not trigger.
> Minimal example showing the problem is attached as the text to paste into spark-shell (code_2.0.txt).
> The detailed description and minimal example, workaround and possible cause are in the attachment, in a form of Zeppelin notebook.
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