[jira] [Created] (ARROW-11857) Resource temporarily unavailable when using the new Dataset API with Pandas

["Anton Friberg (Jira)" <ji...@apache.org>]

Anton Friberg created ARROW-11857:
-------------------------------------

             Summary: Resource temporarily unavailable when using the new Dataset API with Pandas
                 Key: ARROW-11857
                 URL: https://issues.apache.org/jira/browse/ARROW-11857
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 3.0.0
         Environment: OS: Debian GNU/Linux 10 (buster) x86_64 
Kernel: 4.19.0-14-amd64 
CPU: Intel i7-6700K (8) @ 4.200GHz 
Memory: 32122MiB
Python: v3.7.3
            Reporter: Anton Friberg


When using the new Dataset API under v3.0.0 it instantly crashes with
{code:java}
 terminate called after throwing an instance of 'std::system_error'
 what(): Resource temporarily unavailable{code}
This does not happen in an earlier version. The error message leads me to believe that the issue is not on the Python side but might be in the C++ libraries.

As background, I am using the new Dataset API by calling the following
{code:java}
s3_fs = fs.S3FileSystem(<minio credentials>)
dataset = pq.ParquetDataset(
        f"{bucket}/{base_path}",
        filesystem=s3_fs,
        partitioning="hive",
        use_legacy_dataset=False,
        filters=filters
)
dataframe = dataset.read_pandas(columns=columns).to_pandas(){code}
The dataset itself contains 10,000s of files around 100 MB in size and is created using incremental bulk processing from pandas and pyarrow v1.0.1.

I am suspecting an issue with a limit in the total amount of threads that are spawning but I have been unable to resolve it by calling
{code:java}
pyarrow.set_cpu_count(1) {code}



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