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https://issues.apache.org/jira/browse/ARROW-6058?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16907823#comment-16907823
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Wong Chung Hoi commented on ARROW-6058:
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Hi all,
FYI, I witness the same issue on BOTH GCP (with pandas.read_parquet and gcsfs)
and AWS (pandas.read_parquet and s3fs).
I have also tried running the same code on the same dataset with an older
docker build with older version of pyarrow and it works.
This is disabling us from using latest pyarrow to handle big parquet files.
> [Python][Parquet] Failure when reading Parquet file from S3
> ------------------------------------------------------------
>
> Key: ARROW-6058
> URL: https://issues.apache.org/jira/browse/ARROW-6058
> Project: Apache Arrow
> Issue Type: Bug
> Affects Versions: 0.14.1
> Reporter: Siddharth
> Priority: Major
> Labels: parquet
>
> I am reading parquet data from S3 and get ArrowIOError error.
> Size of the data: 32 part files 90 MB each (3GB approx)
> Number of records: Approx 100M
> Code Snippet:
> {code:java}
> from s3fs import S3FileSystem
> import pyarrow.parquet as pq
> s3 = S3FileSystem()
> dataset = pq.ParquetDataset("s3://location", filesystem=s3)
> df = dataset.read_pandas().to_pandas()
> {code}
> Stack Trace:
> {code:java}
> df = dataset.read_pandas().to_pandas()
> File "/root/.local/lib/python3.6/site-packages/pyarrow/parquet.py", line
> 1113, in read_pandas
> return self.read(use_pandas_metadata=True, **kwargs)
> File "/root/.local/lib/python3.6/site-packages/pyarrow/parquet.py", line
> 1085, in read
> use_pandas_metadata=use_pandas_metadata)
> File "/root/.local/lib/python3.6/site-packages/pyarrow/parquet.py", line 583,
> in read
> table = reader.read(**options)
> File "/root/.local/lib/python3.6/site-packages/pyarrow/parquet.py", line 216,
> in read
> use_threads=use_threads)
> File "pyarrow/_parquet.pyx", line 1086, in
> pyarrow._parquet.ParquetReader.read_all
> File "pyarrow/error.pxi", line 87, in pyarrow.lib.check_status
> pyarrow.lib.ArrowIOError: Unexpected end of stream: Page was smaller (197092)
> than expected (263929)
> {code}
>
> *Note: Same code works on relatively smaller dataset (approx < 50M records)*
>
>
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