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Posted to jira@arrow.apache.org by "Joris Van den Bossche (Jira)" <ji...@apache.org> on 2020/09/09 12:58:00 UTC

[jira] [Updated] (ARROW-2628) [Python] parquet.write_to_dataset is memory-hungry on large DataFrames

     [ https://issues.apache.org/jira/browse/ARROW-2628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joris Van den Bossche updated ARROW-2628:
-----------------------------------------
    Labels: dataset dataset-parquet-write parquet  (was: dataset parquet)

> [Python] parquet.write_to_dataset is memory-hungry on large DataFrames
> ----------------------------------------------------------------------
>
>                 Key: ARROW-2628
>                 URL: https://issues.apache.org/jira/browse/ARROW-2628
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++, Python
>            Reporter: Wes McKinney
>            Priority: Major
>              Labels: dataset, dataset-parquet-write, parquet
>
> See discussion in https://github.com/apache/arrow/issues/1749. We should consider strategies for writing very large tables to a partitioned directory scheme. 



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