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Posted to issues@beam.apache.org by "Brian Hulette (Jira)" <ji...@apache.org> on 2021/06/22 19:23:01 UTC

[jira] [Updated] (BEAM-12181) DataFrame API: Implement parallelized (approximate) mode

     [ https://issues.apache.org/jira/browse/BEAM-12181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Brian Hulette updated BEAM-12181:
---------------------------------
    Component/s: dsl-dataframe

> DataFrame API: Implement parallelized (approximate) mode
> --------------------------------------------------------
>
>                 Key: BEAM-12181
>                 URL: https://issues.apache.org/jira/browse/BEAM-12181
>             Project: Beam
>          Issue Type: Improvement
>          Components: dsl-dataframe, sdk-py-core
>            Reporter: Brian Hulette
>            Priority: P3
>              Labels: dataframe-api
>
> Currently we require Singleton partitioning to compute mode(). We should provide an option to compute approximate mode() which can be parallelized.



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