[jira] [Created] (PARQUET-1858) [Python] [Rust] Parquet read file fails with batch size 1_000_000 and 41 row groups

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

Novice created PARQUET-1858:
-------------------------------

             Summary: [Python] [Rust] Parquet read file fails with batch size 1_000_000 and 41 row groups
                 Key: PARQUET-1858
                 URL: https://issues.apache.org/jira/browse/PARQUET-1858
             Project: Parquet
          Issue Type: Bug
            Reporter: Novice
         Attachments: test_2.parquet.tgz

Here is the error I got:

Pyarrow:

```

>>> df = pd.read_parquet("test.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: Unexpected end of stream

```

fastparquet:

```
 >>> df = pd.read_parquet("test.parquet", engine="fastparquet")
 /home/miniconda3/envs/ds/lib/python3.7/site-packages/fastparquet/encoding.py:222: NumbaDeprecationWarning: The 'numba.jitclass' decorator has moved to 'numba.experimental.jitclass' to better reflect the experimental nature of the functionality. Please update your imports to accommodate this change and see [http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#change-of-jitclass-location] for the time frame.
 Numpy8 = numba.jitclass(spec8)(NumpyIO)
 /home/miniconda3/envs/ds/lib/python3.7/site-packages/fastparquet/encoding.py:224: NumbaDeprecationWarning: The 'numba.jitclass' decorator has moved to 'numba.experimental.jitclass' to better reflect the experimental nature of the functionality. Please update your imports to accommodate this change and see [http://numba.pydata.org/numba-doc/latest/reference/deprecation.html#change-of-jitclass-location] for the time frame.
 Numpy32 = numba.jitclass(spec32)(NumpyIO)
 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 201, in read
 return parquet_file.to_pandas(columns=columns, **kwargs)
 File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/fastparquet/api.py", line 399, in to_pandas
 index=index, assign=parts)
 File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/fastparquet/api.py", line 228, in read_row_group
 scheme=self.file_scheme)
 File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/fastparquet/core.py", line 354, in read_row_group
 cats, selfmade, assign=assign)
 File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/fastparquet/core.py", line 331, in read_row_group_arrays
 catdef=out.get(name+'-catdef', None))
 File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/fastparquet/core.py", line 245, in read_col
 skip_nulls, selfmade=selfmade)
 File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/fastparquet/core.py", line 99, in read_data_page
 raw_bytes = _read_page(f, header, metadata)
 File "/home/miniconda3/envs/ds/lib/python3.7/site-packages/fastparquet/core.py", line 31, in _read_page
 page_header.uncompressed_page_size)
 AssertionError: found 120016208 raw bytes (expected None)

```

The corresponding Rust code is:

```

use parquet::{
 column::writer::ColumnWriter::BoolColumnWriter,
 column::writer::ColumnWriter::Int32ColumnWriter,
 [file::]

{ properties::WriterProperties, writer::

{FileWriter, SerializedFileWriter}

,
 },
 schema::parser::parse_message_type,
 };
 use std::\{fs, rc::Rc};

fn main() {
 let schema = "
 message schema

{ REQUIRED INT32 a; REQUIRED BOOLEAN b; }

";

let schema = Rc::new(parse_message_type(schema).unwrap());
 let props = Rc::new(
 WriterProperties::builder()
 .set_statistics_enabled(false)
 .set_dictionary_enabled(false)
 .build(),
 );
 let file = fs::File::create("test.parquet").unwrap();
 let mut writer = SerializedFileWriter::new(file, schema, props).unwrap();
 let batch_size = 1_000_000;
 let mut data = vec![];
 let mut data_bool = vec![];
 for i in 0..batch_size

{ data.push(i); data_bool.push(true); }

let mut j = 0;
 loop {
 let mut row_group_writer = writer.next_row_group().unwrap();
 let mut col_writer = row_group_writer.next_column().unwrap().unwrap();
 if let Int32ColumnWriter(ref mut typed_writer) = col_writer

{ typed_writer.write_batch(&data, None, None).unwrap(); }

else

{ panic!(); }

row_group_writer.close_column(col_writer).unwrap();
 let mut col_writer = row_group_writer.next_column().unwrap().unwrap();
 if let BoolColumnWriter(ref mut typed_writer) = col_writer \{ typed_writer.write_batch(&data_bool, None, None).unwrap(); } else \{ panic!(); }

row_group_writer.close_column(col_writer).unwrap();
 writer.close_row_group(row_group_writer).unwrap();

j += 1;
 if j * batch_size > 40_000_000

{ break; }

}
 writer.close().unwrap()
 }

```

 



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