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Posted to jira@arrow.apache.org by "Joris Van den Bossche (Jira)" <ji...@apache.org> on 2020/09/09 12:55:00 UTC

[jira] [Updated] (ARROW-6579) [Python] Parallel pyarrow.parquet.write_to_dataset

     [ https://issues.apache.org/jira/browse/ARROW-6579?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche updated ARROW-6579:
-----------------------------------------
    Labels: dataset dataset-parquet-write parquet  (was: dataset parquet)

> [Python] Parallel pyarrow.parquet.write_to_dataset
> --------------------------------------------------
>
>                 Key: ARROW-6579
>                 URL: https://issues.apache.org/jira/browse/ARROW-6579
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>    Affects Versions: 0.14.1
>            Reporter: Adam Lippai
>            Priority: Major
>              Labels: dataset, dataset-parquet-write, parquet
>
> pyarrow.parquet.write_to_dataset() is single-threaded now and converts the table from/to Pandas. We should lower the dataset writing to C++ (dropping Pandas usage) so it's easier to write the partitioned dataset using multiple threads.



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