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https://issues.apache.org/jira/browse/GIRAPH-26?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13430720#comment-13430720
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Eli Reisman commented on GIRAPH-26:
-----------------------------------
You're doing it in the run() method, which you'll want to eliminate and run the
code via GiraphRunner. By taking your Configuration setters out of your run()
method and putting their definitions into GiraphJob, you'll be able to use them
without having to implement run(). I think the plan is to factor out all the
extra code around the graph-generating IO format so you can just run it against
a vertex at the command-line via GiraphRunner. I realize the example code on
the website is old, you'll want to emulate the pattern you see in the examples/
code rather than the website stuff (which currently resembles some of the
benchmark/ code.)
> Improve PseudoRandomVertexInputFormat to create a more realistic synthetic
> graph (e.g. power-law distributed vertex-cardinality).
> ---------------------------------------------------------------------------------------------------------------------------------
>
> Key: GIRAPH-26
> URL: https://issues.apache.org/jira/browse/GIRAPH-26
> Project: Giraph
> Issue Type: Test
> Components: benchmark
> Affects Versions: 0.2.0
> Reporter: Jake Mannix
> Assignee: Sean Choi
> Priority: Minor
> Fix For: 0.2.0
>
> Attachments: GIRAPH-26-1.patch
>
>
> The PageRankBenchmark class, to be a proper benchmark, should run over graphs
> which look more like data seen in the wild, and web link graphs, social
> network graphs, and text corpora (represented as a bipartite graph) all have
> power-law distributions, so benchmarking a synthetic graph which looks more
> like this would be a nice test which would stress cases of uneven
> split-distribution and bottlenecks of subclusters of the graph of heavily
> connected vertices.
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