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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] Commented: (HADOOP-908) Hadoop Abacus, a package for performing simple counting/aggregation
Date Thu, 18 Jan 2007 23:10:30 GMT

    [ https://issues.apache.org/jira/browse/HADOOP-908?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#action_12465911
] 

Hadoop QA commented on HADOOP-908:
----------------------------------

+1, because http://issues.apache.org/jira/secure/attachment/12349218/abacus.patch applied
and successfully tested against trunk revision r497583.

> Hadoop Abacus, a package for performing simple counting/aggregation
> -------------------------------------------------------------------
>
>                 Key: HADOOP-908
>                 URL: https://issues.apache.org/jira/browse/HADOOP-908
>             Project: Hadoop
>          Issue Type: New Feature
>          Components: contrib/streaming
>            Reporter: Runping Qi
>         Assigned To: Runping Qi
>         Attachments: abacus.patch
>
>
> Hadoop Abacus package is a specialization of map/reduce framework, 
> specilizing for performing various counting and aggregations. 
> It offers similar functionalities to Google's SawZall. 
> Generally speaking, in order to implement an application using Map/Reduce model, 
> the developer needs to implement Map and Reduce functions (and possibly Combine function).

> However, for a lot of applications related to counting and statistics computing, 
> these functions have very similar characteristics. 
> Abacus abstracts out the general patterns and provides a package implementing those patterns.

> In particular, the package provides a generic mapper class, a reducer class and a combiner
class, 
> and a set of built-in value aggregators. It also provides a generic utility class, ValueAggregatorJob
> for creating Abacus jobs.
> To create an Abacus job, the user just needs to implement one plugin class that 
> is responsible for specifying what aggregators to use and what values are for which aggregators.

> The mapper will call this class in the runtime to generate aggregation ids and values.
> The generic  combiner and reducer will aggregate the values associated with the same

> aggregation ids accordingly. Thus, it is much easier to create and run an Abacus job
than 
> a normal map/reduce job. Since a  built-in generic combiner is always used, the execution
is very efficient.

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