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Posted to dev@parquet.apache.org by "Wes McKinney (Jira)" <ji...@apache.org> on 2020/05/05 16:00:00 UTC
[jira] [Moved] (PARQUET-1857) [C++][Parquet] ParquetFileReader
unable to read files with more than 32767 row groups
[ https://issues.apache.org/jira/browse/PARQUET-1857?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney moved ARROW-8677 to PARQUET-1857:
----------------------------------------------
Component/s: (was: Rust)
(was: Python)
parquet-cpp
Key: PARQUET-1857 (was: ARROW-8677)
Affects Version/s: (was: 0.17.0)
Workflow: patch-available, re-open possible (was: jira)
Environment: (was: Linux debian
)
Project: Parquet (was: Apache Arrow)
> [C++][Parquet] ParquetFileReader unable to read files with more than 32767 row groups
> -------------------------------------------------------------------------------------
>
> Key: PARQUET-1857
> URL: https://issues.apache.org/jira/browse/PARQUET-1857
> Project: Parquet
> Issue Type: Bug
> Components: parquet-cpp
> Reporter: Novice
> Assignee: Wes McKinney
> Priority: Critical
> Attachments: test.parquet.tgz
>
>
> I am using Rust to write Parquet file and read from Python.
> When write_batch with 10000 batch size, reading the Parquet file from Python gives the error below:
> ```
> >>> pd.read_parquet("some.parquet", engine="pyarrow")
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/home//.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 296, in read_parquet
> return impl.read(path, columns=columns, **kwargs)
> File "/home//.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 125, in read
> path, columns=columns, **kwargs
> File "/home//miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1537, in read_table
> use_pandas_metadata=use_pandas_metadata)
> File "/home//miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1262, in read
> use_pandas_metadata=use_pandas_metadata)
> File "/home//miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 707, in read
> table = reader.read(**options)
> File "/home//miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 337, in read
> use_threads=use_threads)
> File "pyarrow/_parquet.pyx", line 1130, in pyarrow._parquet.ParquetReader.read_all
> File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
> OSError: Unexpected end of stream
> ```
> Also, when using batch size 1 and then read from Python, there is error too:
> ```
> >>> pd.read_parquet("some.parquet", engine="pyarrow")
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/home/.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 296, in read_parquet
> return impl.read(path, columns=columns, **kwargs)
> File "/home/.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 125, in read
> path, columns=columns, **kwargs
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1537, in read_table
> use_pandas_metadata=use_pandas_metadata)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1262, in read
> use_pandas_metadata=use_pandas_metadata)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 707, in read
> table = reader.read(**options)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 337, in read
> use_threads=use_threads)
> File "pyarrow/_parquet.pyx", line 1130, in pyarrow._parquet.ParquetReader.read_all
> File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
> OSError: The file only has 0 columns, requested metadata for column: 6
> ```
> Using batch size 1000 is fine.
> Note that my data has 450047 rows. Schema:
> ```
> message schema
> { REQUIRED INT32 a; REQUIRED INT32 b; REQUIRED INT32 c; REQUIRED INT64 d; REQUIRED INT32 e; REQUIRED BYTE_ARRAY f (UTF8); REQUIRED BOOLEAN g; }
> ```
>
> EDIT: as I add more rows (estimated 80 millions), using batch size 1000 does not work too:
> ```
> >>> df = pd.read_parquet("data/ping_pong.parquet", engine="pyarrow")
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/home/.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 296, in read_parquet
> return impl.read(path, columns=columns, **kwargs)
> File "/home/.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 125, in read
> path, columns=columns, **kwargs
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1537, in read_table
> use_pandas_metadata=use_pandas_metadata)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1262, in read
> use_pandas_metadata=use_pandas_metadata)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 707, in read
> table = reader.read(**options)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 337, in read
> use_threads=use_threads)
> File "pyarrow/_parquet.pyx", line 1130, in pyarrow._parquet.ParquetReader.read_all
> File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
> OSError: The file only has 0 columns, requested metadata for column: 6
> ```
> Unless I am using it wrong (which doesn't seem to be, since the API is simple), this is not usable at all :(
>
> EDIT: some more logs, using 1000 batch size, a lot of rows:
> ```
> >>> df = pd.read_parquet("ping_pong.parquet", engine="pyarrow")
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/home/.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 296, in read_parquet
> return impl.read(path, columns=columns, **kwargs)
> File "/home/.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 125, in read
> path, columns=columns, **kwargs
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1537, in read_table
> use_pandas_metadata=use_pandas_metadata)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1262, in read
> use_pandas_metadata=use_pandas_metadata)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 707, in read
> table = reader.read(**options)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 337, in read
> use_threads=use_threads)
> File "pyarrow/_parquet.pyx", line 1130, in pyarrow._parquet.ParquetReader.read_all
> File "pyarrow/error.pxi", line 100, in pyarrow.lib.check_status
> OSError: The file only has -959432807 columns, requested metadata for column: 6
> ```
>
> EDIT:
> I wanted to try fastparquet, but seems fastparquet does not support .set_dictionary_enabled(true), so I set it to false.
> Turns out fastparquet is fine, so likely a problem with pyarrow.
> ```
> >>> df = pd.read_parquet("data/ping_pong.parquet", engine="pyarrow")
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/home/.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 296, in read_parquet
> return impl.read(path, columns=columns, **kwargs)
> File "/home/.local/lib/python3.7/site-packages/pandas/io/parquet.py", line 125, in read
> path, columns=columns, **kwargs
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1281, in read_table
> use_pandas_metadata=use_pandas_metadata)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 1137, in read
> use_pandas_metadata=use_pandas_metadata)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 605, in read
> table = reader.read(**options)
> File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/pyarrow/parquet.py", line 253, in read
> use_threads=use_threads)
> File "pyarrow/_parquet.pyx", line 1136, in pyarrow._parquet.ParquetReader.read_all
> File "pyarrow/error.pxi", line 99, in pyarrow.lib.check_status
> OSError: The file only has -580697109 columns, requested metadata for column: 5
> >>> df = pd.read_parquet("data/ping_pong.parquet", engine="fastparquet")
> ```
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