[jira] [Assigned] (ARROW-8647) [C++][Dataset] Optionally encode partition field values as dictionary type

["Ben Kietzman (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-8647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ben Kietzman reassigned ARROW-8647:
-----------------------------------

    Assignee: Ben Kietzman

> [C++][Dataset] Optionally encode partition field values as dictionary type
> --------------------------------------------------------------------------
>
>                 Key: ARROW-8647
>                 URL: https://issues.apache.org/jira/browse/ARROW-8647
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++
>            Reporter: Joris Van den Bossche
>            Assignee: Ben Kietzman
>            Priority: Major
>              Labels: dataset, dataset-dask-integration
>             Fix For: 1.0.0
>
>
> In the Python ParquetDataset implementation, the partition fields are returned as dictionary type columns. 
> In the new Dataset API, we now use a plain type (integer or string when inferred). But, you can already manually specify that the partition keys should be dictionary type by specifying the partitioning schema (in {{Partitioning}} passed to the dataset factory). 
> Since using dictionary type can be more efficient (since partition keys will typically be repeated values in the resulting table), it might be good to still have an option in the DatasetFactory to use dictionary types for the partition fields.
> See also https://github.com/apache/arrow/pull/6303#discussion_r400622340



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