[ https://issues.apache.org/jira/browse/HIVE-931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
He Yongqiang updated HIVE-931: ------------------------------ Attachment: hive-931-2009-11-19.patch Incorporates Namit's comments. Thanks, Namit! > Sorted Group By > --------------- > > Key: HIVE-931 > URL: https://issues.apache.org/jira/browse/HIVE-931 > Project: Hadoop Hive > Issue Type: New Feature > Components: Query Processor > Reporter: Namit Jain > Assignee: He Yongqiang > Fix For: 0.5.0 > > Attachments: hive-931-2009-11-18.patch, hive-931-2009-11-19.patch > > > If the table is sorted by a given key, we don't use that for group by. That > can be very useful. > For eg: if T is sorted by column c1, > For select c1, aggr() from T group by c1 > we always use a single map-reduce job. No hash table is needed on the mapper, > since the data is sorted by c1 anyway. > This will reduce the memory pressure on the mapper and also remove overhead > of maintaining the hash table. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.