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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2019/02/06 04:47:00 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 ]
Wes McKinney updated ARROW-2628:
--------------------------------
Fix Version/s: 0.14.0
> [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: Python
> Reporter: Wes McKinney
> Priority: Major
> Labels: parquet
> Fix For: 0.14.0
>
>
> 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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