[
https://issues.apache.org/jira/browse/ARROW-14723?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17445067#comment-17445067
]
Joris Van den Bossche commented on ARROW-14723:
-----------------------------------------------
Thanks for the report!
I can reproduce this on master as well, and get the following extra debug
information:
{code}
OSError: Negative size (corrupt file?)
../src/parquet/arrow/reader.cc:108 LoadBatch(batch_size)
../src/parquet/arrow/reader.cc:1011 ::arrow::internal::OptionalParallelFor(
reader_properties_.use_threads(), static_cast<int>(readers.size()), [&](int i)
{ return readers[i]->NextBatch(batch_size, &columns[i]); })
../src/arrow/util/iterator.h:530 parent_.Next()
../src/arrow/record_batch.h:222 ReadNext(&batch)
../src/arrow/util/iterator.h:152 value_.status()
../src/arrow/util/iterator.h:180 maybe_element
../src/arrow/dataset/scanner.cc:972
::arrow::internal::SerialExecutor::RunInSerialExecutor<RecordBatchVector>(
[&](Executor* executor) { return scan_task->SafeExecute(executor); })
../src/arrow/dataset/scanner.cc:982 task_group->Finish()
{code}
(and I also noted that when not using the scanner / dataset interface, with
{{pq.read_table("intmax32plus1.parq", use_legacy_dataset=True)}} it actually
completely blows up instead of erroring)
> [Python] pyarrow cannot import parquet files containing row groups whose
> lengths exceed int32 max.
> ---------------------------------------------------------------------------------------------------
>
> Key: ARROW-14723
> URL: https://issues.apache.org/jira/browse/ARROW-14723
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 5.0.0
> Reporter: Sarah Gilmore
> Priority: Minor
> Attachments: intmax32.parq, intmax32plus1.parq
>
>
> It's possible to create Parquet files containing row groups whose lengths are
> greater than int32 max (2147483647). However, Pyarrow cannot read these
> files.
> {code:java}
> >>> import pyarrow as pa
> >>> import pyarrow.parquet as pq
> # intmax32.parq can be read in without any issues
> >>> t = pq.read_table("intmax32.parq");
> $ intmax32plus1.parq cannot be read in
> >>> t = pq.read_table("intmax32plus1.parq");
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File
> "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/pyarrow/parquet.py",
> line 1895, in read_table
> return dataset.read(columns=columns, use_threads=use_threads,
> File
> "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/pyarrow/parquet.py",
> line 1744, in read
> table = self._dataset.to_table(
> File "pyarrow/_dataset.pyx", line 465, in pyarrow._dataset.Dataset.to_table
> File "pyarrow/_dataset.pyx", line 3075, in pyarrow._dataset.Scanner.to_table
> File "pyarrow/error.pxi", line 143, in
> pyarrow.lib.pyarrow_internal_check_status
> File "pyarrow/error.pxi", line 114, in pyarrow.lib.check_status
> OSError: Negative size (corrupt file?)
> {code}
>
> However, both files can be imported via the C++ Arrow bindings without any
> issues.
>
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
