[ https://issues.apache.org/jira/browse/HIVE-10302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xuefu Zhang updated HIVE-10302: ------------------------------- Fix Version/s: (was: spark-branch) 1.3.0 > Load small tables (for map join) in executor memory only once [Spark Branch] > ---------------------------------------------------------------------------- > > Key: HIVE-10302 > URL: https://issues.apache.org/jira/browse/HIVE-10302 > Project: Hive > Issue Type: Improvement > Reporter: Jimmy Xiang > Assignee: Jimmy Xiang > Fix For: 1.3.0 > > Attachments: 10302.patch, HIVE-10302.2-spark.patch, > HIVE-10302.3-spark.patch, HIVE-10302.4-spark.patch, HIVE-10302.spark-1.patch > > > Usually there are multiple cores in a Spark executor, and thus it's possible > that multiple map-join tasks can be running in the same executor > (concurrently or sequentially). Currently, each task will load its own copy > of the small tables for map join into memory, ending up with inefficiency. > Ideally, we only load the small tables once and share them among the tasks > running in that executor. -- This message was sent by Atlassian JIRA (v6.3.4#6332)