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From "JongYoon Lim (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HAMA-983) Hama runner for DataFlow
Date Fri, 21 Apr 2017 03:16:04 GMT

    [ https://issues.apache.org/jira/browse/HAMA-983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15978003#comment-15978003
] 

JongYoon Lim commented on HAMA-983:
-----------------------------------

Hi Edward, could you create a branch called 'beam_support' on github? These days, I'm working
on this issue again and it looks working. Now I'm working on this on my local beam's branch
but I think it'd be better to work on hama's one before it can support recent beam version.
(I'm working this based on beam's release-0.3.0-incubating, but they already have released
0.6.0 version. ) I think working on hama is more easier to get review and feedback from other
developers. After that, it could be contributed to the beam project. 

> Hama runner for DataFlow
> ------------------------
>
>                 Key: HAMA-983
>                 URL: https://issues.apache.org/jira/browse/HAMA-983
>             Project: Hama
>          Issue Type: Bug
>            Reporter: Edward J. Yoon
>              Labels: gsoc2016
>
> As you already know, Apache Beam provides unified programming model for both batch and
streaming inputs.
> The APIs are generally associated with data filtering and transforming. So we'll need
to implement some data processing runner like https://github.com/dapurv5/MapReduce-BSP-Adapter/blob/master/src/main/java/org/apache/hama/mapreduce/examples/WordCount.java
> Also, implementing similarity join can be funny. According to http://www.ruizhang.info/publications/TPDS2015-Heads_Join.pdf,
Apache Hama is clearly winner among Apache Hadoop and Apache Spark.
> Since it consists of transformation, aggregation, and partition computations, I think
it's possible to implement using Apache Beam APIs.



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