[GitHub] [arrow-datafusion] ParadoxShmaradox commented on issue #2845: [Question] Optimize multiple reads on same DataFrame

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ParadoxShmaradox commented on issue #2845:
URL: https://github.com/apache/arrow-datafusion/issues/2845#issuecomment-1180398779

   What I ended up doing was to collect the record batches from the dataframe and because I have knowledge that the record batches are pre sorted by the id column from the read parquet file I could skip batches and apply the kernel filters by hand.
   
   This cut the filtering time dramatically from 5ms average to 1ms. There are about 100 partitions.
   I wonder if a record batch could hold some statistics on the data, either pre computed or on demand and then Datafusion use that statistics in the physical plan optimization.
   
   
   


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