atris opened a new issue, #9098:
URL: https://github.com/apache/pinot/issues/9098

   This JIRA tracks building a mechanism for identifying and computing the 
indicative cost of a query, based on parameters such as query complexity and 
data statistics (cardinality, selectivity etc).
   
   The cost model will be pluggable -- you just need to implement the 
interfaces.
   
   The cost can be used for stuff like throttling and cancelling of expensive 
queries in the face of limited resource utilisation.
   
   In a later stage, we can explore using the cost for a more intelligent query 
optimiser.
   
   Note that this is more of a "logical" cost -- using statistics and query 
cyclomatic complexity.
   
   Related work: https://github.com/apache/pinot/issues/9055


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