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https://issues.apache.org/jira/browse/ARROW-9924?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17191784#comment-17191784
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Antoine Pitrou commented on ARROW-9924:
---------------------------------------
cc [~jorisvandenbossche]
> [Python] Performance regression reading individual Parquet files using
> Dataset interface
> ----------------------------------------------------------------------------------------
>
> Key: ARROW-9924
> URL: https://issues.apache.org/jira/browse/ARROW-9924
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Wes McKinney
> Priority: Critical
> Fix For: 2.0.0
>
>
> I haven't investigated very deeply but this seems symptomatic of a problem:
> {code}
> In [27]: df = pd.DataFrame({'A': np.random.randn(10000000)})
>
>
> In [28]: pq.write_table(pa.table(df), 'test.parquet')
>
>
> In [29]: timeit pq.read_table('test.parquet')
>
>
> 79.8 ms ± 1.25 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
> In [30]: timeit pq.read_table('test.parquet', use_legacy_dataset=True)
>
>
> 66.4 ms ± 1.33 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
> {code}
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