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Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2021/09/29 17:25:01 UTC

[jira] [Commented] (BEAM-12201) DataFrame API: to_parquet(partition_cols=) doesn't work as intended

    [ https://issues.apache.org/jira/browse/BEAM-12201?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17422270#comment-17422270 ] 

Beam JIRA Bot commented on BEAM-12201:
--------------------------------------

This issue is P2 but has been unassigned without any comment for 60 days so it has been labeled "stale-P2". If this issue is still affecting you, we care! Please comment and remove the label. Otherwise, in 14 days the issue will be moved to P3.

Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed explanation of what these priorities mean.


> DataFrame API: to_parquet(partition_cols=) doesn't work as intended
> -------------------------------------------------------------------
>
>                 Key: BEAM-12201
>                 URL: https://issues.apache.org/jira/browse/BEAM-12201
>             Project: Beam
>          Issue Type: Bug
>          Components: dsl-dataframe, sdk-py-core
>    Affects Versions: 2.26.0, 2.27.0, 2.28.0, 2.29.0
>            Reporter: Brian Hulette
>            Priority: P2
>              Labels: dataframe-api, stale-P2
>
> Currently we accept the partition_cols keyword argument, but it doesn't work as intended. It should partition by the specified columns and use dynamic destinations to write partitions to different files.
> Context: https://lists.apache.org/thread.html/ra1e647440ffb43e922d9289cbe6f59e581c00055cf7f6a71b3fab205%40%3Cuser.beam.apache.org%3E



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