[
https://issues.apache.org/jira/browse/ARROW-8647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Neal Richardson reassigned ARROW-8647:
--------------------------------------
Assignee: Ben Kietzman (was: Neal Richardson)
> [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, pull-request-available
> Fix For: 1.0.0
>
> Time Spent: 1.5h
> Remaining Estimate: 0h
>
> 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
--
This message was sent by Atlassian Jira
(v8.3.4#803005)