[ARROW-5811] [C++] CSV reader: Ability to not infer column types.

• Type: Improvement
• Status: Open
• Priority: Minor
• Resolution: Unresolved
• Affects Version/s: 0.13.0
• Component/s: C++, Python
• Labels: csv csvparser pyarrow
• Environment: Ubuntu Xenial
• External issue URL: https://github.com/apache/arrow/issues/22232
• Assignee: Unassigned
• Reporter: Bogdan Klichuk
• Created: 30/Jun/19 21:42
• Updated: 11/Jan/23 07:42

Description

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?