Marc Garcia created ARROW-17766:
-----------------------------------
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`.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
