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Posted to issues@arrow.apache.org by "Marc Garcia (Jira)" <ji...@apache.org> on 2022/09/18 17:11:00 UTC

[jira] [Created] (ARROW-17766) Add option to only load specific columns from csv

Marc Garcia created ARROW-17766:
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             Summary: 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


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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