GitHub user balduz opened a pull request:
https://github.com/apache/spark/pull/5598
[SPARK-6978][GraphX] Compute all the direct and indirect relations for e...
...ach vertex
Right now you can only get the direct connections of each vertex in a
graph using collectNeighbors or collectNeighborIds. However, it would be
very useful to be able to also get all the indirect connections of each
vertex, with the degree of each of these connections.
I have implemented this using Pregel, you call VertexConnections and
specify the graph and the maximum degree you wish to retrieve (this
second parameter is optional, if not specified it will retrieve every
connection) and returns a map where for each key (degree) it contains a
collection with all of the vertices.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/balduz/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/5598.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #5598
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commit f328eb86eba5e2414ed3a53a64a762b0f2b77f02
Author: Carlos Balduz <[email protected]>
Date: 2015-04-20T16:51:02Z
[SPARK-6978][GraphX] Compute all the direct and indirect relations for each
vertex
Right now you can only get the direct connections of each vertex in a
graph using collectNeighbors or collectNeighborIds. However, it would be
very useful to be able to also get all the indirect connections of each
vertex, with the degree of each of these connections.
I have implemented this using Pregel, you call VertexConnections and
specify the graph and the maximum degree you wish to retrieve (this
second parameter is optional, if not specified it will retrieve every
connection) and returns a map where for each key (degree) it contains a
collection with all of the vertices.
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