[jira] [Created] (ARROW-5811) pyarrow.csv.read_csv: Ability to not infer column types.

["Bogdan Klichuk (JIRA)" <ji...@apache.org>]

Bogdan Klichuk created ARROW-5811:
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             Summary: pyarrow.csv.read_csv: Ability to not infer column types.
                 Key: ARROW-5811
                 URL: https://issues.apache.org/jira/browse/ARROW-5811
             Project: Apache Arrow
          Issue Type: Improvement
          Components: Python
    Affects Versions: 0.13.0
         Environment: Ubuntu Xenial
            Reporter: Bogdan Klichuk


I'm trying to read CSV as is. All columns as strings. I don't know the schema of these CSVs and they will vary as they are provided by user.

Right now i'm using pandas.read_csv(dtype=str) which works great, but since final destination of these CSVs are parquet files it seems like much more efficient to use pyarrow.csv.read_csv in future, as soon as this becomes available :)

I tried things like `pyarrow.csv.read_csv(convert_types=ConvertOptions(columns_types=defaultdict(lambda: 'string')))` but it doesn't work.

Maybe I just didnt' find something that already exists? :)



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