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https://issues.apache.org/jira/browse/FLINK-2909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15232216#comment-15232216
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ASF GitHub Bot commented on FLINK-2909:
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Github user vasia commented on the pull request:
https://github.com/apache/flink/pull/1807#issuecomment-207442760
Really amazing job @greghogan! I left a few suggestions on improving the
docs / usage of the generators. Otherwise, I think it's good to merge. This
will be a great addition to Gelly :) Do you have any idea on how the generators
scale?
> 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
>
> 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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