Hi, you can certainly use a for-loop like this to run SSSP several times. Just make sure you return or store the result of the computation for each source, by adding a data sink e.g.:
for (id : Ids) { graph.run(new SingleSourceShortestPaths<Long>(id, maxIterations)) .getVertices().print(); } However, if you have a large amount of source nodes, executing one SSSP for each of them is probably not the most efficient way to go. Instead, you could maybe write a custom multiple shortest paths program, where each node calculates distances for multiple sources in each iteration. In this case, the vertex value could be a vector of size equal to the number of input sources. Cheers, V. On 14 February 2015 at 12:26, HungChang <unicorn.bana...@gmail.com> wrote: > Hi, > > In graph api there's an single source shortest path library. > > DataSet<Vertex<Long,Double>> singleSourceShortestPaths = > graph.run(new SingleSourceShortestPaths<Long>(srcVertexId, > maxIterations)).getVertices(); > > For Multiple Source, would it be possible to run it for all nodes using > for-loop? > for example, > > for(Node node: nodes){ > DataSet<Vertex<Long,Double>> singleSourceShortestPaths = > graph.run(new SingleSourceShortestPaths<Long>(node, > maxIterations)).getVertices(); > } > > > > > -- > View this message in context: > http://apache-flink-incubator-user-mailing-list-archive.2336050.n4.nabble.com/Multiple-sources-shortest-path-tp729.html > Sent from the Apache Flink (Incubator) User Mailing List archive. mailing > list archive at Nabble.com. >