You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@arrow.apache.org by "Uwe Korn (Jira)" <ji...@apache.org> on 2020/11/06 14:39:00 UTC

[jira] [Assigned] (ARROW-10482) [Python] Specifying compression type on a column basis when writing Parquet not working

     [ https://issues.apache.org/jira/browse/ARROW-10482?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Uwe Korn reassigned ARROW-10482:
--------------------------------

    Assignee: Joris Van den Bossche

> [Python] Specifying compression type on a column basis when writing Parquet not working
> ---------------------------------------------------------------------------------------
>
>                 Key: ARROW-10482
>                 URL: https://issues.apache.org/jira/browse/ARROW-10482
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>            Reporter: Joris Van den Bossche
>            Assignee: Joris Van den Bossche
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 3.0.0
>
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> From https://stackoverflow.com/questions/64666270/using-per-column-compression-codec-in-parquet-write-table
> According to the docs, you can specify the compression type on a column-by-column basis, but that doesn't seem to be working:
> {code}
> In [5]: table = pa.table([[1, 2], [3, 4], [5, 6]], names=["foo", "bar", "baz"])
> In [6]: pq.write_table(table, 'test1.parquet', compression=dict(foo='zstd',bar='snappy',baz='brotli'))
> ...
> ~/scipy/repos/arrow/python/pyarrow/_parquet.cpython-37m-x86_64-linux-gnu.so in string.from_py.__pyx_convert_string_from_py_std__in_string()
> TypeError: expected bytes, str found
> {code}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)