Re: [I] Memory leak still showed on parquet.write_table and Table.from_pandas [arrow]

["kyle-ip (via GitHub)" <gi...@apache.org>]

kyle-ip commented on issue #40738:
URL: https://github.com/apache/arrow/issues/40738#issuecomment-2016399240

   Hi @guozhans .
   Have you tried to release the memory pool: https://arrow.apache.org/docs/python/generated/pyarrow.MemoryPool.html#pyarrow.MemoryPool.release_unused
   
   I encountered a similar issue:
   Every time I used **pyarrow.parquet.ParquetDataset** to load parquet from S3, the memory usage continued to increase and cannot be released, so I used **release_unused** after the I/O operations:
   ```python
   import pyarrow as pa
   
   pool = pa.default_memory_pool()
   # ...
   pool.release_unused()
   ```
   However, the occupied memory cannot be released immediately until I executed next time. On the other hand, it’s not sure how much memory can be released.
   


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