beliefer opened a new pull request, #42468:
URL: https://github.com/apache/spark/pull/42468

   ### What changes were proposed in this pull request?
   Currently, Spark runtime filter only supports using the subquery on one 
table.
   In fact, we can reuse the exchange, even if it is a shuffle exchange.
   If the shuffle exchange come from a join which has one side with selective 
predicates, so the results of the join can be used to prune the data amount of 
the application side.
   
   
   ### Why are the changes needed?
   Enhance the runtime filter.
   
   
   ### Does this PR introduce _any_ user-facing change?
   'No'.
   New feature.
   
   
   ### How was this patch tested?
   Manual tests
   


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