[jira] [Created] (ARROW-11456) OSError: Capacity error: BinaryBuilder cannot reserve space for more than 2147483646 child elements

["Pac A. He (Jira)" <ji...@apache.org>]

Pac A. He created ARROW-11456:
---------------------------------

             Summary: OSError: Capacity error: BinaryBuilder cannot reserve space for more than 2147483646 child elements
                 Key: ARROW-11456
                 URL: https://issues.apache.org/jira/browse/ARROW-11456
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 3.0.0, 2.0.0
         Environment: pyarrow 3.0.0 / 2.0.0
pandas 1.2.1
            Reporter: Pac A. He


When reading a large parquet file, I have this error:

 
{noformat}
    df: Final = pd.read_parquet(input_file_uri, engine="pyarrow")
  File "/opt/conda/envs/condaenv/lib/python3.8/site-packages/pandas/io/parquet.py", line 459, in read_parquet
    return impl.read(
  File "/opt/conda/envs/condaenv/lib/python3.8/site-packages/pandas/io/parquet.py", line 221, in read
    return self.api.parquet.read_table(
  File "/opt/conda/envs/condaenv/lib/python3.8/site-packages/pyarrow/parquet.py", line 1638, in read_table
    return dataset.read(columns=columns, use_threads=use_threads,
  File "/opt/conda/envs/condaenv/lib/python3.8/site-packages/pyarrow/parquet.py", line 327, in read
    return self.reader.read_all(column_indices=column_indices,
  File "pyarrow/_parquet.pyx", line 1126, in pyarrow._parquet.ParquetReader.read_all
  File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
OSError: Capacity error: BinaryBuilder cannot reserve space for more than 2147483646 child elements, got 2147483648
{noformat}
Isn't pyarrow supposed to support large parquets? It let me write this file, but now it doesn't let me read it back. I don't understand why arrow uses [32-bit computing|https://arrow.apache.org/docs/format/Columnar.html#array-lengths] in a 64-bit world.

 



--
This message was sent by Atlassian Jira
(v8.3.4#803005)