sharmabhaskar commented 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 sung 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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