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https://issues.apache.org/jira/browse/ARROW-17766?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17606331#comment-17606331
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Marc Garcia commented on ARROW-17766:
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Ok, my bad, seems like it was there, `include_columns` at the end of the
`ConverterOptions` parameters, I couldn't find it after looking at all the
options 3 times (just found it checking the source code):
https://arrow.apache.org/docs/python/generated/pyarrow.csv.ConvertOptions.html#pyarrow.csv.ConvertOptions
> Add option to only load specific columns from csv
> -------------------------------------------------
>
> Key: ARROW-17766
> URL: https://issues.apache.org/jira/browse/ARROW-17766
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Reporter: Marc Garcia
> Priority: Major
>
> I may be missing something, but after checking in detail the documentation of
> pyarrow, I can't find an option equivalent to `pandas.read_csv(...,
> usecols=['col_to_load_1', 'col_to_load_2'])`.
> This would be useful for example when loading CSV files with lots of columns
> where only few are needed. Having to load all the information in the CSV
> seems like a significant waste of resources.
> I guess a parameter `load_columns` could be added to
> `pyarrow.csv.ReadOptions`.
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