lakshmanan-v opened a new issue, #9492:
URL: https://github.com/apache/pinot/issues/9492

   We recently introduced gapfill() to interpolate and fill gaps in a time 
series dataset. In the current solution, the data is moved and gapfilling is 
performed in the broker. This puts lots of stress on the broker as all of the 
raw records to be transferred from server to broker. 
   
   This brings in a lot of limitations and doesn't work for large dataset with 
larger date range. In V2, let us revisit the implementation to push down the 
gapfill and aggregations to server side by leveraging data locality and make 
this feature scale better.
   
   cc @weixiangsun @Jackie-Jiang 


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