[jira] [Commented] (ARROW-11378) [C++][Dataset] Writing partitions with timestamp type give mis-formatted (integers) directory names

["David Li (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-11378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17338982#comment-17338982 ] 

David Li commented on ARROW-11378:
----------------------------------

Tangentially related, but in ARROW-12644 it seems Spark 1) allows partitioning on a timestamp (though it separates it into day and time parts?) and 2) encodes it as a HH:MM:SS string with URL-encoding, which presents some additional fun for us.

> [C++][Dataset] Writing partitions with timestamp type give mis-formatted (integers) directory names
> ---------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-11378
>                 URL: https://issues.apache.org/jira/browse/ARROW-11378
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: C++
>            Reporter: Joris Van den Bossche
>            Assignee: Weston Pace
>            Priority: Major
>              Labels: dataset
>             Fix For: 5.0.0
>
>
> {code}
> In [1]: df = pd.DataFrame({"dates": list(pd.date_range("2012-01-01", periods=2, freq="D")) * 5, "col": range(10)})
> In [2]: table = pa.table(df)
> In [8]: part = ds.partitioning(table.select(["dates"]).schema, flavor="hive")
> In [9]: ds.write_dataset(table, "test_partition_timestamp", format="parquet", partitioning=part)
> In [10]: !ls test_partition_timestamp/
> 'dates=1325376000000000000'  'dates=1325462400000000000'
> {code}
> Same happens for non-ns timestamp types.
> (didn't directly find an existing issue about it)



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