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https://issues.apache.org/jira/browse/BEAM-12132?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17359481#comment-17359481
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Beam JIRA Bot commented on BEAM-12132:
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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: Consider allowing partitioning by column in addition to Index
> ----------------------------------------------------------------------------
>
> Key: BEAM-12132
> URL: https://issues.apache.org/jira/browse/BEAM-12132
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Brian Hulette
> Priority: P2
> Labels: dataframe-api, stale-P2
>
> For some DataFrame use-cases it may be beneficial to partition a dataset
> across the columns as well as across the index.
> One example might be computing a correlation in a DataFrame with a very large
> number of columns. It would be beneficial to be able to perform pairwise
> column correlations on separate workers.
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