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Gopal V commented on HIVE-5093: ------------------------------- Quick test-results {code} hive> set min.num.spills.for.combine=0; hive> set hive.exec.combiner=false; hive> select cd_credit_rating, cd_education_status from customer_demographics order by cd_credit_rating limit 10; Job 0: Map: 1 Reduce: 1 Cumulative CPU: 14.92 sec HDFS Read: 18709 HDFS Write: 130 SUCCESS Reduce input groups 4 Reduce input records 480200 {code} With the optimizer on {code} hive> set hive.exec.combiner=true; hive> select cd_credit_rating, cd_education_status from customer_demographics order by cd_credit_rating limit 10; Job 0: Map: 1 Reduce: 1 Cumulative CPU: 9.39 sec HDFS Read: 18709 HDFS Write: 130 SUCCESS Reduce input groups 1 Reduce input records 10 {code} That is a massive reduction in reduce records for minimal complexity (the spills per-combiner is set to zero, to always run it). On query27, we went from 816036 bytes shuffled to 9006 bytes shuffled over-all. > Use a combiner for LIMIT with GROUP BY and ORDER BY operators > ------------------------------------------------------------- > > Key: HIVE-5093 > URL: https://issues.apache.org/jira/browse/HIVE-5093 > Project: Hive > Issue Type: Bug > Components: Query Processor > Affects Versions: 0.12.0 > Reporter: Gopal V > Assignee: Gopal V > > Operator trees of the following structure can have a memory friendly combiner > put in place after the sort-phase > "GBY-LIM" and "OBY-LIM" > This will cut down on I/O when spilling to disk and particularly during the > merge phase of the reducer. > There are two possible combiners - LimitNKeysCombiner and > LimitNValuesCombiner. > The first one would be ideal for the GROUP-BY case, while the latter would > more useful for the ORDER-BY case. > The combiners are still relevant even if there are 1:1 forward operators on > the reducer side and for small data items, the MR base layer does not run the > combiners at all. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira