jonded94 opened a new issue, #46404:
URL: https://github.com/apache/arrow/issues/46404

   ### Describe the bug, including details regarding any error messages, 
version, and platform.
   
   Hello,
   
   internally, we wrote an own library that wraps `arrow-rs` to make it useable 
from Python.
   Such a thing also exists publicly available through `arro3` which I used 
here for some minimal reproducible example:
   
   ```
   import pyarrow.parquet
   import arro3.io
   
   data = [8388855, 8388924, 8388853, 8388880, 8388876, 8388879]
   
   schema = pyarrow.schema([pyarrow.field("html", pyarrow.binary())])
   data = [{"html": b"0" * d} for d in data]
   
   t = pyarrow.Table.from_pylist(data, schema=schema)
   
   path = "/tmp/foo.parquet"
   with open(path, "wb") as file:
       for b in t.to_batches():
           arro3.io.write_parquet(b, file, max_row_group_size=len(data) - 3)
   
   reader = pyarrow.parquet.ParquetFile(path)
   for i in range(2):
       print(len(reader.read_row_group(i)))
   ```
   
   This code writes a bit of dummy binary data through `arrow-rs`. Reading that 
with `pyarrow` results in
   
   ```
     File "pyarrow/_parquet.pyx", line 1655, in 
pyarrow._parquet.ParquetReader.read_row_group
     File "pyarrow/_parquet.pyx", line 1691, in 
pyarrow._parquet.ParquetReader.read_row_groups
     File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
   OSError: Couldn't deserialize thrift: No more data to read.
   Deserializing page header failed.
   ```
   
   ---
   
   ### Obversations
   
   - Reading in the same file through `arro3` or own internal library wrapping 
`arrow-rs` works just fine
   - Reading in the same file through `duckdb` also works just fine
   - Reducing the amount of binary data per row suddenly leads to the error 
disappearing 
   - Issue is reproducible with `pyarrow` version `18.1.0`, `19.0.1` and 
`20.0.0` 
   
   ### Component(s)
   
   C++, Python


-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: issues-unsubscr...@arrow.apache.org.apache.org

For queries about this service, please contact Infrastructure at:
us...@infra.apache.org

Reply via email to