vpatil-uptycs commented on issue #35900:
URL: https://github.com/apache/arrow/issues/35900#issuecomment-1575554760
I was able to do it....
```
def write_csv_file(engine, query, location):
base_dir_path = os.path.dirname(location)
filesystem, path = FileSystem.from_uri(location)
filesystem.create_dir(base_dir_path)
with engine.connect() as conn:
conn.execution_options(stream_results=True)
cursor_result: CursorResult = conn.execute(query)
csv_schema = get_csv_schema(cursor_result=cursor_result)
total_rows = 0
with filesystem.open_output_stream(location, compression='gzip') as
file_stream:
csv_writer = pa.csv.CSVWriter(file_stream, csv_schema)
while True:
rows: list[Row] = cursor_result.fetchmany(10000)
row_count = len(rows)
if row_count > 0:
df = pd.DataFrame(rows)
table = pa.Table.from_pandas(df, schema=csv_schema)
csv_writer.write_table(table)
else:
break
total_rows += row_count
csv_writer.close()
cursor_result.close()
```
Hence, closing the issue.
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