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https://issues.apache.org/jira/browse/ARROW-13317?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17379434#comment-17379434
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Arun Joseph commented on ARROW-13317:
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I'm not familiar with the underlying source to comment on the feasibility, but
as a user, I think that would be a good change.
> [Python] Improve documentation on what 'use_threads' does in 'read_feather'
> ---------------------------------------------------------------------------
>
> Key: ARROW-13317
> URL: https://issues.apache.org/jira/browse/ARROW-13317
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Affects Versions: 4.0.1
> Reporter: Arun Joseph
> Priority: Trivial
> Labels: documentation
>
> The current documentation for
> [read_feather|https://arrow.apache.org/docs/python/generated/pyarrow.feather.read_feather.html]
> states the following:
> *use_threads* (_bool__,_ _default True_) – Whether to parallelize reading
> using multiple threads.
> if the underlying file uses compression, then multiple threads can still be
> spawned. The verbiage of the *use_threads* is ambiguous on whether the
> restriction on multiple threads is only for the conversion from pyarrow to
> the pandas dataframe vs the reading/decompression of the file itself which
> might spawn additional threads.
> [set_cpu_count|http://arrow.apache.org/docs/python/generated/pyarrow.set_cpu_count.html#pyarrow.set_cpu_count]
> might be good to mention as a way to actually limit threads spawned
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