[ https://issues.apache.org/jira/browse/HIVE-1065?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13276691#comment-13276691 ]
ransom.hezhiqiang commented on HIVE-1065: ----------------------------------------- MapJoin,bucket mapJoin,sorted bucket MapJoin. and also can used Stream table to steam the big table. if two table's data is also very large . try skew join. change the tasknum. > When data is large,a reducer's memory can not hold the big data by using list > to store the data, and get an error "out of memory" > --------------------------------------------------------------------------------------------------------------------------------- > > Key: HIVE-1065 > URL: https://issues.apache.org/jira/browse/HIVE-1065 > Project: Hive > Issue Type: Bug > Affects Versions: 0.3.0 > Environment: redhat enterprise 4.0 > Reporter: fuyangchang > Priority: Critical > Original Estimate: 168h > Remaining Estimate: 168h > > When data is large,I do a "join" operation ,a reducer's memory can not hold > the big data by using list to store the data, and get an error "out of memory" -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira