[ARROW-13655] [C++][Parquet] Reading large Parquet file can give "MaxMessageSize reached" error with Thrift 0.14

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 6.0.0, 5.0.1
• Component/s: C++, Parquet
• Labels: pull-request-available
• External issue URL: https://github.com/apache/arrow/issues/29292
• Assignee: Antoine Pitrou
• Reporter: Joris Van den Bossche
• Created: 18/Aug/21 13:24
• Updated: 11/Jan/23 08:34
• Resolved: 04/Oct/21 10:51

Description

From https://github.com/dask/dask/issues/8027

Apache Thrift introduced a `MaxMessageSize` configuration option (https://github.com/apache/thrift/blob/master/doc/specs/thrift-tconfiguration.md#maxmessagesize) in version 0.14 (THRIFT-5237).

I think this is the cause of an issue reported originally at https://github.com/dask/dask/issues/8027, where one can get a "OSError: Couldn't deserialize thrift: MaxMessageSize reached" error while reading a large Parquet (metadata-only) file.

In the original report, the file was writting using the python fastparquet library (which uses the python thrift bindings, which still use Thrift 0.13), but I was able to construct a reproducible code example with pyarrow.

Create a large metadata Parquet file with pyarrow in an environment with Arrow built against Thrift 0.13 (eg with a local install from source, or installing pyarrow 2.0 from conda-forge can be installed with libthrift 0.13):

import pyarrow as pa
import pyarrow.parquet as pq

table = pa.table({str(i): np.random.randn(10) for i in range(1_000)})
pq.write_table(table, "__temp_file_for_metadata.parquet")
metadata = pq.read_metadata("__temp_file_for_metadata.parquet")
metadata2 = pq.read_metadata("__temp_file_for_metadata.parquet")

[metadata.append_row_groups(metadata2) for _ in range(4000)]
metadata.write_metadata_file("test_parquet_metadata_large_file.parquet")

And then reading this file again in the same environment works fine, but reading it in an environment with recent Thrift 0.14 (eg installing latest pyarrow with conda-forge) gives the following error:

In [1]: import pyarrow.parquet as pq

In [2]: pq.read_metadata("test_parquet_metadata_large_file.parquet")
...
OSError: Couldn't deserialize thrift: MaxMessageSize reached

Issue Links

• links to: GitHub Pull Request #11123