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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-2206) add a new optimizer for query correlation discovery and optimization
Date Thu, 18 Jul 2013 05:42:52 GMT

    [ https://issues.apache.org/jira/browse/HIVE-2206?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13712037#comment-13712037
] 

Hive QA commented on HIVE-2206:
-------------------------------



{color:green}Overall{color}: +1 all checks pass

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12592900/HIVE-2206.patch

{color:green}SUCCESS:{color} +1 all tests passed

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/71/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/71/console

Messages:
Executing org.apache.hive.ptest.execution.CleanupPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase

This message is automatically generated.
                
> 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: 0.12.0
>            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-2206.20-r1434012.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, HIVE-2206.D11097.10.patch, HIVE-2206.D11097.11.patch, HIVE-2206.D11097.12.patch,
HIVE-2206.D11097.13.patch, HIVE-2206.D11097.14.patch, HIVE-2206.D11097.15.patch, HIVE-2206.D11097.16.patch,
HIVE-2206.D11097.17.patch, HIVE-2206.D11097.18.patch, HIVE-2206.D11097.19.patch, HIVE-2206.D11097.1.patch,
HIVE-2206.D11097.2.patch, HIVE-2206.D11097.3.patch, HIVE-2206.D11097.4.patch, HIVE-2206.D11097.5.patch,
HIVE-2206.D11097.6.patch, HIVE-2206.D11097.7.patch, HIVE-2206.D11097.8.patch, HIVE-2206.D11097.9.patch,
HIVE-2206.patch, 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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