sharmabhaskar edited a comment on issue #13231: [SPARK-15453] [SQL] Sort Merge 
Join to use bucketing metadata to optimize query plan
URL: https://github.com/apache/spark/pull/13231#issuecomment-501110631
 
 
   @tejasapatil I am facing the same issue while joining to bucketed tables . I 
am using spark 2,2 in mapR distribution:
   I have two tables :
   table A : bucketed on key_column ( 20 buckets )
   table B : portioned on year and bucketed on key_columns( 20 buckets )
   
   But while joining both the tables on key_columns the query is doing both 
sort and exchange:
   [count#1311L])
             +- *Project
                +- *SortMergeJoin [key_column#1079], [key_column#1218],Inner
   sort step:                :- *Sort [key_column#1079 ASC NULLS FIRST], false, 0
   exchange step:            :  +- Exchange hashpartitioning(key_column#1079, 
200)
                   :     +- *Filter isnotnull(key_column#1079)

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