mapleFU commented on PR #38784:
URL: https://github.com/apache/arrow/pull/38784#issuecomment-1824689024

   @pitrou Perhaps I need some help:
   
   1. I found an extra problem here: 
https://github.com/apache/arrow/pull/38784#discussion_r1403570575 . This might 
the root cause of https://github.com/apache/arrow/issues/38577 . It reserve 
more data than expected
   2. I use the code below to generate test data
   
   ```
   >>> from pyarrow import parquet
   >>> parquet.read_table("yellow_tripdata_2010-01.parquet")
   >>> parquet.write_table(table, 'arrow-out.parquet')
   ```
   
   When I disable `Prepare` in `DecodeArrowDenseNonNull` and 
`DecodeArrowDenseNonNull`, the program execute faster. The file has 14863778 
rows, which means 15 row-groups. I thought that might be some reason on that 
but I cannot make sure. So I need some help and benchmark on that...


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