[ https://issues.apache.org/jira/browse/HIVE-9097?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Rui Li reassigned HIVE-9097: ---------------------------- Assignee: Rui Li > Support runtime skew join for more queries [Spark Branch] > --------------------------------------------------------- > > Key: HIVE-9097 > URL: https://issues.apache.org/jira/browse/HIVE-9097 > Project: Hive > Issue Type: Improvement > Reporter: Rui Li > Assignee: Rui Li > > After HIVE-8913, runtime skew join is enabled for spark. But currently the > optimization only supports the simplest case where join is the leaf > ReduceWork in a work graph. This is because the results from the original > join and the conditional map join have to be unioned to feed to downstream > works, which can be a little tricky for spark. > This JIRA is to research and find a way to relax the above restriction. A > possible solution is to break the original task into two tasks on the join > work, and insert the conditional task in between. -- This message was sent by Atlassian JIRA (v6.3.4#6332)