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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2019/06/19 01:39:00 UTC
[jira] [Updated] (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 updated ARROW-3325:
--------------------------------
Fix Version/s: (was: 0.14.0)
1.0.0
> [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: 1.0.0
>
>
> 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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