aiqc opened a new issue #9932:
URL: https://github.com/apache/arrow/issues/9932


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   Hi there. Is there a way to read a Parquet file by way of row (aka index) 
range? Not seeing it in `pyarrow.parquet.read_table` and there are questions 
about it:
   
   - 
https://stackoverflow.com/questions/64050609/pyarrow-read-parquet-via-column-index-or-order
   - 
https://stackoverflow.com/questions/62252259/pandas-read-write-parquet-data-using-column-index
   
   Right now I just read the whole file in and then drop rows, which won't be 
feasible on larger datasets.
   ```
   df = pd.read_parquet(my_stream)
   df = df.iloc[samples_indices]
   ```
   
   I feel like I could do this with Spark, but don't want to add that 
dependency.


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