[ 
https://issues.apache.org/jira/browse/HAMA-983?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15502017#comment-15502017
 ] 

Edward J. Yoon commented on HAMA-983:
-------------------------------------

Why don't we contribute this feature to the Apache Beam directly? 
https://github.com/apache/incubator-beam/tree/master/runners

> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to