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Yi Zhou commented on SPARK-5791: -------------------------------- For example: SELECT * FROM inventory inv JOIN ( SELECT i_item_id, i_item_sk FROM item WHERE i_current_price > 0.98 AND i_current_price < 1.5 ) items ON inv.inv_item_sk = items.i_item_sk JOIN warehouse w ON inv.inv_warehouse_sk = w.w_warehouse_sk JOIN date_dim d ON inv.inv_date_sk = d.d_date_sk WHERE datediff(d_date, '2001-05-08') >= -30 AND datediff(d_date, '2001-05-08') <= 30; > [Spark SQL] show poor performance when multiple table do join operation > ----------------------------------------------------------------------- > > Key: SPARK-5791 > URL: https://issues.apache.org/jira/browse/SPARK-5791 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.2.0 > Reporter: Yi Zhou > > Spark SQL shows poor performance when multiple tables do join operation > compared with Hive on MapReduce. -- 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