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Peak memory usage for pyarrow.parquet.read_table

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,

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Call Stack
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