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https://issues.apache.org/jira/browse/ARROW-13317?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Krisztian Szucs resolved ARROW-13317.
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Fix Version/s: (was: 7.0.0)
6.0.0
Resolution: Fixed
Issue resolved by pull request 11475
[https://github.com/apache/arrow/pull/11475]
> [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
> Assignee: Alenka Frim
> Priority: Trivial
> Labels: documentation, good-first-issue, pull-request-available
> Fix For: 6.0.0
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> 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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