andygrove opened a new pull request, #4620:
URL: https://github.com/apache/arrow-datafusion/pull/4620

   # Which issue does this PR close?
   
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   Closes https://github.com/apache/arrow-datafusion/issues/3984
   
   # Rationale for this change
   
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    Why are you proposing this change? If this is already explained clearly in 
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   Some popular benchmarks intentionally have joins that are written in a 
suboptimal order, where large fact tables are joined first, followed by joins 
to dimension tables.  We need join reordering if we want to do well in those 
benchmarks.
   
   I have had some success implementing this same rule for Apache Spark 
(currently implemented in the Spark RAPIDS plugin 
([PR](https://github.com/NVIDIA/spark-rapids/pull/7311)) but with plans to 
upstream to Spark later). I am also testing this rule in Dask SQL 
([PR](https://github.com/dask-contrib/dask-sql/pull/950)).
   
   # What changes are included in this PR?
   
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sometimes worth providing a summary of the individual changes in this PR.
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   New rule
   
   # Are these changes tested?
   
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   Unit tests included (but needs more before this is ready for review)
   
   # Are there any user-facing changes?
   
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