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https://issues.apache.org/jira/browse/FLINK-2909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15232198#comment-15232198
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ASF GitHub Bot commented on FLINK-2909:
---------------------------------------
Github user vasia commented on a diff in the pull request:
https://github.com/apache/flink/pull/1807#discussion_r59026858
--- Diff: docs/apis/batch/libs/gelly.md ---
@@ -1734,3 +1734,547 @@ vertex represents a group of vertices and each edge
represents a group of edges
vertex and edge in the output graph stores the common group value and the
number of represented elements.
{% top %}
+
+Graph Generators
+-----------
+
+Gelly provides a collection of scalable graph generators. Each generator is
+
+* parallelizable, in order to create large datasets
+* scale-free, generating the same graph regardless of parallelism
+* thrifty, using as few operators as possible
+
+### Complete Graph
+
+An undirected graph connecting every distinct pair of vertices.
+
+<div class="codetabs" markdown="1">
+<div data-lang="java" markdown="1">
+{% highlight java %}
+ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
+
+Graph<LongValue,NullValue,NullValue> graph = new CompleteGraph(env, 5)
--- End diff --
Could you explain what the parameter 5 is for?
> 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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