[PARQUET-1857] [C++][Parquet] ParquetFileReader unable to read files with more than 32767 row groups

• Type: Bug
• Status: Resolved
• Priority: Critical
• Resolution: Fixed
• Fix Version/s: cpp-4.0.0
• Component/s: parquet-cpp
• Labels: pull-request-available
• Assignee: Wes McKinney
• Reporter: Novice
• Created: 02/May/20 23:14
• Updated: 06/May/20 16:28
• Resolved: 06/May/20 16:28

Description

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")

```

Issue Links

• links to: GitHub Pull Request #7108