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Edward J. Yoon commented on HAMA-983: ------------------------------------- {code} # create a new branch inside your directory 'current' git checkout -b HAMA-983 # ... do some changes to the files ... # store changes in the branch git push origin HAMA-983 # commit changes to the branch git commit -a -m '[HAMA-983] Hama runner for DataFlow' Then go to your GitHub HAMA page and do a Pull Request. {code} Hi JongYoon, you can create new branch like above. > 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 (v6.3.15#6346)