You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2019/08/01 23:01:00 UTC

[jira] [Updated] (ARROW-3325) [Python] Support reading Parquet binary/string columns directly as DictionaryArray

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

Wes McKinney updated ARROW-3325:
--------------------------------
    Summary: [Python] Support reading Parquet binary/string columns directly as DictionaryArray  (was: [Python] Support reading Parquet binary/string columns as pandas Categorical)

> [Python] Support reading Parquet binary/string columns directly as DictionaryArray
> ----------------------------------------------------------------------------------
>
>                 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



--
This message was sent by Atlassian JIRA
(v7.6.14#76016)