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https://issues.apache.org/jira/browse/FLINK-2909?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Greg Hogan closed FLINK-2909.
-----------------------------
    Resolution: Fixed

Fixed with b0a7a1b813b29dbfd5c959ee2929372c31befda8

> Gelly Graph Generators
> ----------------------
>
>                 Key: FLINK-2909
>                 URL: https://issues.apache.org/jira/browse/FLINK-2909
>             Project: Flink
>          Issue Type: New Feature
>          Components: Gelly
>    Affects Versions: 1.0.0
>            Reporter: Greg Hogan
>            Assignee: Greg Hogan
>             Fix For: 1.1.0
>
>
> Include a selection of graph generators in Gelly. Generated graphs will be 
> useful for performing scalability, stress, and regression testing as well as 
> benchmarking and comparing algorithms, for both Flink users and developers. 
> Generated data is infinitely scalable yet described by a few simple 
> parameters and can often substitute for user data or sharing large files when 
> reporting issues.
> There are at multiple categories of graphs as documented by 
> [NetworkX|https://networkx.github.io/documentation/latest/reference/generators.html]
>  and elsewhere.
> Graphs may be a well-defined, i.e. the [Chvátal 
> graph|https://en.wikipedia.org/wiki/Chv%C3%A1tal_graph]. These may be 
> sufficiently small to populate locally.
> Graphs may be scalable, i.e. complete and star graphs. These should use 
> Flink's distributed parallelism.
> Graphs may be stochastic, i.e. [RMat 
> graphs|http://snap.stanford.edu/class/cs224w-readings/chakrabarti04rmat.pdf] 
> . A key consideration is that the graphs should source randomness from a 
> seedable PRNG and generate the same Graph regardless of parallelism.



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