[ 
https://issues.apache.org/jira/browse/HIVE-2206?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13547982#comment-13547982
 ] 

Hudson commented on HIVE-2206:
------------------------------

Integrated in Hive-trunk-hadoop2 #54 (See 
[https://builds.apache.org/job/Hive-trunk-hadoop2/54/])
    HIVE-2206:add a new optimizer for query correlation discovery and 
optimization (Yin Huai via He Yongqiang) (Revision 1392105)

     Result = ABORTED
heyongqiang : 
http://svn.apache.org/viewcvs.cgi/?root=Apache-SVN&view=rev&rev=1392105
Files : 
* /hive/trunk/common/src/java/org/apache/hadoop/hive/conf/HiveConf.java
* /hive/trunk/conf/hive-default.xml.template
* 
/hive/trunk/ql/src/gen/thrift/gen-javabean/org/apache/hadoop/hive/ql/plan/api/OperatorType.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/BaseReduceSinkOperator.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/CorrelationCompositeOperator.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/CorrelationLocalSimulativeReduceSinkOperator.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/CorrelationReducerDispatchOperator.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/ExecReducer.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/GroupByOperator.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/Operator.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/OperatorFactory.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/ReduceSinkOperator.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/exec/TableScanOperator.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/optimizer/CorrelationOptimizer.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/optimizer/CorrelationOptimizerUtils.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/optimizer/GenMapRedUtils.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/optimizer/Optimizer.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/parse/ParseContext.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/parse/SemanticAnalyzer.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/plan/BaseReduceSinkDesc.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/plan/CorrelationCompositeDesc.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/plan/CorrelationLocalSimulativeReduceSinkDesc.java
* 
/hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/plan/CorrelationReducerDispatchDesc.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/plan/MapredWork.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/plan/ReduceSinkDesc.java
* /hive/trunk/ql/src/java/org/apache/hadoop/hive/ql/plan/TableScanDesc.java
* /hive/trunk/ql/src/test/org/apache/hadoop/hive/ql/exec/TestExecDriver.java
* /hive/trunk/ql/src/test/queries/clientpositive/correlationoptimizer1.q
* /hive/trunk/ql/src/test/queries/clientpositive/correlationoptimizer2.q
* /hive/trunk/ql/src/test/queries/clientpositive/correlationoptimizer3.q
* /hive/trunk/ql/src/test/queries/clientpositive/correlationoptimizer4.q
* /hive/trunk/ql/src/test/queries/clientpositive/correlationoptimizer5.q
* /hive/trunk/ql/src/test/results/clientpositive/correlationoptimizer1.q.out
* /hive/trunk/ql/src/test/results/clientpositive/correlationoptimizer2.q.out
* /hive/trunk/ql/src/test/results/clientpositive/correlationoptimizer3.q.out
* /hive/trunk/ql/src/test/results/clientpositive/correlationoptimizer4.q.out
* /hive/trunk/ql/src/test/results/clientpositive/correlationoptimizer5.q.out
* /hive/trunk/ql/src/test/results/compiler/plan/groupby1.q.xml
* /hive/trunk/ql/src/test/results/compiler/plan/groupby2.q.xml
* /hive/trunk/ql/src/test/results/compiler/plan/groupby3.q.xml
* /hive/trunk/ql/src/test/results/compiler/plan/groupby5.q.xml

                
> add a new optimizer for query correlation discovery and optimization
> --------------------------------------------------------------------
>
>                 Key: HIVE-2206
>                 URL: https://issues.apache.org/jira/browse/HIVE-2206
>             Project: Hive
>          Issue Type: New Feature
>          Components: Query Processor
>    Affects Versions: 0.10.0
>            Reporter: He Yongqiang
>            Assignee: Yin Huai
>         Attachments: HIVE-2206.10-r1384442.patch.txt, 
> HIVE-2206.11-r1385084.patch.txt, HIVE-2206.12-r1386996.patch.txt, 
> HIVE-2206.13-r1389072.patch.txt, HIVE-2206.14-r1389704.patch.txt, 
> HIVE-2206.15-r1392491.patch.txt, HIVE-2206.16-r1399936.patch.txt, 
> HIVE-2206.17-r1404933.patch.txt, HIVE-2206.18-r1407720.patch.txt, 
> HIVE-2206.19-r1410581.patch.txt, HIVE-2206.1.patch.txt, 
> HIVE-2206.2.patch.txt, HIVE-2206.3.patch.txt, HIVE-2206.4.patch.txt, 
> HIVE-2206.5-1.patch.txt, HIVE-2206.5.patch.txt, HIVE-2206.6.patch.txt, 
> HIVE-2206.7.patch.txt, HIVE-2206.8.r1224646.patch.txt, 
> HIVE-2206.8-r1237253.patch.txt, testQueries.2.q, YSmartPatchForHive.patch
>
>
> This issue proposes a new logical optimizer called Correlation Optimizer, 
> which is used to merge correlated MapReduce jobs (MR jobs) into a single MR 
> job. The idea is based on YSmart (http://ysmart.cse.ohio-state.edu/).The 
> paper and slides of YSmart are linked at the bottom.
> Since Hive translates queries in a sentence by sentence fashion, for every 
> operation which may need to shuffle the data (e.g. join and aggregation 
> operations), Hive will generate a MapReduce job for that operation. However, 
> for those operations which may need to shuffle the data, they may involve 
> correlations explained below and thus can be executed in a single MR job.
> # Input Correlation: Multiple MR jobs have input correlation (IC) if their 
> input relation sets are not disjoint;
> # Transit Correlation: Multiple MR jobs have transit correlation (TC) if they 
> have not only input correlation, but also the same partition key;
> # Job Flow Correlation: An MR has job flow correlation (JFC) with one of its 
> child nodes if it has the same partition key as that child node.
> The current implementation of correlation optimizer only detect correlations 
> among MR jobs for reduce-side join operators and reduce-side aggregation 
> operators (not map only aggregation). A query will be optimized if it 
> satisfies following conditions.
> # There exists a MR job for reduce-side join operator or reduce side 
> aggregation operator which have JFC with all of its parents MR jobs (TCs will 
> be also exploited if JFC exists);
> # All input tables of those correlated MR job are original input tables (not 
> intermediate tables generated by sub-queries); and 
> # No self join is involved in those correlated MR jobs.
> Correlation optimizer is implemented as a logical optimizer. The main reasons 
> are that it only needs to manipulate the query plan tree and it can leverage 
> the existing component on generating MR jobs.
> Current implementation can serve as a framework for correlation related 
> optimizations. I think that it is better than adding individual optimizers. 
> There are several work that can be done in future to improve this optimizer. 
> Here are three examples.
> # Support queries only involve TC;
> # Support queries in which input tables of correlated MR jobs involves 
> intermediate tables; and 
> # Optimize queries involving self join. 
> References:
> Paper and presentation of YSmart.
> Paper: 
> http://www.cse.ohio-state.edu/hpcs/WWW/HTML/publications/papers/TR-11-7.pdf
> Slides: http://sdrv.ms/UpwJJc

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