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https://issues.apache.org/jira/browse/HAMA-597?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13412798#comment-13412798
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Mirko Kaempf commented on HAMA-597:
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To your question "But what is the reason to make it comparable to giraph?"
I started a review on availlable graph processing tools, so I found this:
(http://blog.acaro.org/entry/google-pregel-the-rise-of-the-clones)
"So, to summarize, what Hame, GoldenOrb and Giraph have in common is: Java
platform, Apache License (and incubation), BSP computation. What they differ
for: Hama offers BSP primitives not graph processing API (so it sits at a lower
level)..."
In a separate project, it is called "hadoop distributed graph space" (HDGS) a
Metadata store for graph processing (like Hive warehouse) and a generic
workflow framework (compatible to Oozie) is under construction which is running
on top of HDFS and HBase in a hadoop cluster.
I would like to see a common way to start these jobs based on HAMA and Giraph
or simple MapReduce (for example for preprocessing graph data sets by analysing
time series data in a comparable way, so it would be easy to have applications
on a higher abstraction level which build workflows by combining different
tasks using different computational concepts in one single Hadoop cluster.
> Split a GraphJobRunner into multiple classes
> --------------------------------------------
>
> Key: HAMA-597
> URL: https://issues.apache.org/jira/browse/HAMA-597
> Project: Hama
> Issue Type: Improvement
> Components: graph
> Affects Versions: 0.5.0
> Reporter: Edward J. Yoon
> Assignee: Mirko Kaempf
> Fix For: 0.6.0
>
>
> Really not readable and maintainable.
> Break up pieces of functionality into their own classes.
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