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https://issues.apache.org/jira/browse/ARROW-13436?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joris Van den Bossche resolved ARROW-13436.
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Fix Version/s: 6.0.0
Resolution: Fixed
Issue resolved by pull request 11451
[https://github.com/apache/arrow/pull/11451]
> [Python][Doc] Clarify what should be expected if read_table is passed an
> empty list of columns
> ----------------------------------------------------------------------------------------------
>
> Key: ARROW-13436
> URL: https://issues.apache.org/jira/browse/ARROW-13436
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Weston Pace
> Assignee: Sasha Krassovsky
> Priority: Major
> Labels: good-first-issue, pull-request-available
> Fix For: 6.0.0
>
> Time Spent: 10m
> Remaining Estimate: 0h
>
> The documentation for pyarrow.parquet.read_table states:
>
> * *columns* (_list_) – If not None, only these columns will be read from the
> file. A column name may be a prefix of a nested field, e.g. ‘a’ will select
> ‘a.b’, ‘a.c’, and ‘a.d.e’.
>
> It is not clear what should be the expected result if columns is an empty
> list. In pyarrow 3.0 this read in all columns (as long as
> use_legacy_dataset=False). In pyarrow 4.0 this doesn't read in any columns.
> I think this behavior (not reading in any columns) is the correct behavior
> (since None can be used for all columns) but we should clarify that in the
> docs.
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