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https://issues.apache.org/jira/browse/ARROW-11456?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17276536#comment-17276536
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Pac A. He commented on ARROW-11456:
-----------------------------------
[~apitrou] Yes, absolutely. I had used pandas 1.2.1 with pyarrow 2.0.0 to write
it as:
{{df.to_parquet(output_file, engine="pyarrow", compression="gzip",
index=False)}}
> [Python] Parquet reader cannot read large strings
> -------------------------------------------------
>
> 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
> python 3.8.6
> Reporter: Pac A. He
> Priority: Major
>
> 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
> parquet file, but now it doesn't let me read it back. I don't understand why
> arrow uses [31-bit
> computing.|https://arrow.apache.org/docs/format/Columnar.html#array-lengths]
> It's not even 32-bit as sizes are non-negative.
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