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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2019/03/12 02:51:00 UTC

[jira] [Assigned] (ARROW-3325) [Python] Support reading Parquet binary/string columns as pandas Categorical

     [ https://issues.apache.org/jira/browse/ARROW-3325?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney reassigned ARROW-3325:
-----------------------------------

    Assignee: Wes McKinney

> [Python] Support reading Parquet binary/string columns as pandas Categorical
> ----------------------------------------------------------------------------
>
>                 Key: ARROW-3325
>                 URL: https://issues.apache.org/jira/browse/ARROW-3325
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>            Reporter: Wes McKinney
>            Assignee: Wes McKinney
>            Priority: Major
>              Labels: parquet
>             Fix For: 0.13.0
>
>
> Requires PARQUET-1324 and probably quite a bit of extra work  
> Properly implementing this will require dictionary normalization across row groups. When reading a new row group, a fast path that compares the current dictionary with the prior dictionary should be used. This also needs to handle the case where a column chunk "fell back" to PLAIN encoding mid-stream



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