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Apache Spark commented on SPARK-15453: -------------------------------------- User 'tejasapatil' has created a pull request for this issue: https://github.com/apache/spark/pull/14864 > Improve join planning for bucketed / sorted tables > -------------------------------------------------- > > Key: SPARK-15453 > URL: https://issues.apache.org/jira/browse/SPARK-15453 > Project: Spark > Issue Type: New Feature > Components: SQL > Reporter: Tejas Patil > Priority: Minor > > Datasource allows creation of bucketed and sorted tables but performing joins > on such tables still does not utilize this metadata to produce optimal query > plan. > As below, the `Exchange` and `Sort` can be avoided if the tables are known to > be hashed + sorted on relevant columns. > {noformat} > == Physical Plan == > WholeStageCodegen > : +- SortMergeJoin [j#20,k#21,i#22], [j#23,k#24,i#25], Inner, None > : :- INPUT > : +- INPUT > :- WholeStageCodegen > : : +- Sort [j#20 ASC,k#21 ASC,i#22 ASC], false, 0 > : : +- INPUT > : +- Exchange hashpartitioning(j#20, k#21, i#22, 200), None > : +- WholeStageCodegen > : : +- Project [j#20,k#21,i#22] > : : +- Filter (isnotnull(k#21) && isnotnull(j#20)) > : : +- Scan orc default.table7[j#20,k#21,i#22] Format: ORC, > InputPaths: file:/XXXXXXX/table7, PushedFilters: [IsNotNull(k), > IsNotNull(j)], ReadSchema: struct<j:int,k:string> > +- WholeStageCodegen > : +- Sort [j#23 ASC,k#24 ASC,i#25 ASC], false, 0 > : +- INPUT > +- Exchange hashpartitioning(j#23, k#24, i#25, 200), None > +- WholeStageCodegen > : +- Project [j#23,k#24,i#25] > : +- Filter (isnotnull(k#24) && isnotnull(j#23)) > : +- Scan orc default.table8[j#23,k#24,i#25] Format: ORC, > InputPaths: file:/XXXXXXX/table8, PushedFilters: [IsNotNull(k), > IsNotNull(j)], ReadSchema: struct<j:int,k:string> > {noformat} -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org