emkornfield commented on issue #14229:
URL: https://github.com/apache/arrow/issues/14229#issuecomment-1281840773

   I commented on the JIRA for longer term fixes.  I think if you want to save 
all of this data as one parquet file, the path that should round trip is if you 
control the conversion from [Pandas to 
Arrow](https://arrow.apache.org/docs/python/generated/pyarrow.Table.html#pyarrow.Table.from_pandas)
 and use the LargeList type instead of List for columns that contain lists.  
The Arrow Schema is persisted in the Parquet file and is then used to read it 
back, which will allow for 64-bit instead of 32-bit indices.  
   
   It would be nice to be able to set Large types as a flag or infer large 
types are necessary based on Parquet statistics (I noted these in the JIRA).
   
   


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