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Posted to jira@arrow.apache.org by "Pac A. He (Jira)" <ji...@apache.org> on 2021/02/01 16:49:00 UTC
[jira] [Updated] (ARROW-11456) OSError: Capacity error:
BinaryBuilder cannot reserve space for more than 2147483646 child elements
[ https://issues.apache.org/jira/browse/ARROW-11456?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Pac A. He updated ARROW-11456:
------------------------------
Description:
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].
was:
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.
> 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: 2.0.0, 3.0.0
> Environment: pyarrow 3.0.0 / 2.0.0
> pandas 1.2.1
> Reporter: Pac A. He
> Priority: Blocker
>
> 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].
>
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