Re: Peak memory usage for pyarrow.parquet.read_table
are you using any options on `pyarrow.parquet.read_table` or a possible `to_pandas` afterwards?
On Wed, Apr 25, 2018, at 7:27 PM, Bryant Menn wrote:
> I tried reading a Parquet file (<200MB, lots of text with snappy) using
> read_table and saw the memory usage peak over 8GB before settling back down
> to ~200MB. This surprised me as I was expecting to be able to handle a
> Parquet file of this size with much less RAM (doing some processing with
> smaller VMs).
> I am not sure if this expected, but I thought I might check with everyone
> here and learn something new. Poking around it seems to be related with
> Thanks in advance,