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https://issues.apache.org/jira/browse/ARROW-6058?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16908648#comment-16908648
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Wes McKinney commented on ARROW-6058:
-------------------------------------
Thank you, that's great! I added to the 0.15.0 milestone. I've been working a
lot on Parquet stuff lately so if no one looks at it first I'll try to look
before the release horizon closes
> [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
> Fix For: 0.15.0
>
>
> 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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