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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2018/09/25 11:24:00 UTC

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

Wes McKinney created ARROW-3325:
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             Summary: [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
             Fix For: 0.12.0


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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