[GitHub] [arrow] LyricalBernardin opened a new issue, #37699: Individual RangeIndex not preserved with partitioning

["LyricalBernardin (via GitHub)" <gi...@apache.org>]

LyricalBernardin opened a new issue, #37699:
URL: https://github.com/apache/arrow/issues/37699

   ### Describe the bug, including details regarding any error messages, version, and platform.
   
   I am testing with 13.0.0 and 9.0.0. I am saving multiple dataframes separately with the following function
   
   def save(table):
       pq.write_to_dataset(
           table=table,
           root_path=root_path,
           partition_cols=['date'],
           basename_template='part-{i}.parquet',
           use_threads=use_threads,
           use_legacy_dataset=False,
           existing_data_behavior='overwrite_or_ignore',
           use_deprecated_int96_timestamps=False,
           compression=compression,
           **kwargs,
       )
   
   Each dataframe `df` has unique `date` column values and it's own RangeIndex range(len(df)). With 'overwrite_or_ignore' I am saving all dataframes to the same root_path.
   When I load any individual partition, everything looks good. However, when reading the root_path folder as a ParquetDataset, returned dataframe `df_all` doesn't preserve the indices of its partitions and its index becomes RangeIndex(len(df_all)).
   
   ### Component(s)
   
   Python


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