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From "Jake Mannix (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (GIRAPH-64) Create VertexRunner to make it easier to run users' computations
Date Thu, 03 Nov 2011 15:17:32 GMT

    [ https://issues.apache.org/jira/browse/GIRAPH-64?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13143231#comment-13143231
] 

Jake Mannix commented on GIRAPH-64:
-----------------------------------

Hey Jakob, I put some comments in rb, but looks like they didn't crosspost over to here (due
to the missing Bugs: section not having been pulled out).

There was one bug/typo which should be fixed, but other than that, the rest of my comments
were mostly "wishlist", so let's zoom and get this in!

+1
                
> Create VertexRunner to make it easier to run users' computations
> ----------------------------------------------------------------
>
>                 Key: GIRAPH-64
>                 URL: https://issues.apache.org/jira/browse/GIRAPH-64
>             Project: Giraph
>          Issue Type: New Feature
>            Reporter: Jakob Homan
>            Assignee: Jakob Homan
>         Attachments: GIRAPH-64.patch
>
>
> Currently, if a user wants to implement a Giraph algorithm by extending {{Vertex}} they
must also write all the boilerplate around the {{Tool}} interface and bundle it with the Giraph
jar (or get Giraph on the classpath and playing nice with the implementation).  For example,
what is included in the PageRankBenchmark and what Kohei has done: https://github.com/smly/java-Giraph-LabelPropagation
 It would be better if we had perhaps a Vertex implementation to be subclassed that already
had all the standard Tooling included such that all one had to run would be (assuming the
Giraph jar was already on the classpath):
> {noformat}hadoop jar my-awesome-vertex.jar my.awesome.vertex -i jazz_input -o jazz_output
-if org.apache.giraph.lib.in.text.adjacency-list.LongDoubleDouble -of org.apache.giraph.lib.out.text.adjacency-list.LongDoubleDouble{noformat}
This wouldn't work with every algorithm, but would be useful in a large number of cases.

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