I am aware of how to run the LiveJournalPageRank However, I tried what Ankur had suggested, and I got the result. I have one question on that. Running either by bin/run-examples or by invoking the Analytics in GraphX, both of them finally call Analytics, right? So why not club all the codes in the example folder so that we save on the length of the command that we have to give in order to run algorithms on graphx? Thank You
On Sun, Aug 3, 2014 at 11:41 AM, Deep Pradhan <pradhandeep1...@gmail.com> wrote: > I am aware of how to run the LiveJournalPageRank > However, I tried what Ankur had suggested, and I got the result. I have > one question on that. Running either by bin/run-examples or by invoking the > Analytics in GraphX, both of them finally call Analytics, right? So why not > club all the codes in the example folder so that we save on the length of > the command that we have to give in order to run algorithms on graphx? > Thank You > > > On Sun, Aug 3, 2014 at 1:50 AM, Ankur Dave <ankurd...@gmail.com> wrote: > >> At 2014-08-02 21:29:33 +0530, Deep Pradhan <pradhandeep1...@gmail.com> >> wrote: >> > How should I run graphx codes? >> >> At the moment it's a little more complicated to run the GraphX algorithms >> than the Spark examples due to SPARK-1986 [1]. There is a driver program in >> org.apache.spark.graphx.lib.Analytics which you can invoke using >> spark-submit: >> >> $SPARK_HOME/bin/spark-submit --master local[*] --class >> org.apache.spark.graphx.lib.Analytics \ >> $SPARK_HOME/assembly/target/scala-2.10/spark-assembly-*.jar \ >> pagerank /edge-list-file.txt --numEPart=8 --numIter=10 >> --partStrategy=EdgePartition2D >> >> This supports running PageRank, connected components, and triangle count. >> For the other algorithms, you can use the Spark shell: >> >> import org.apache.spark.graphx._ >> val graph = (GraphLoader.edgeListFile(sc, "/edge-list-file.txt", >> minEdgePartitions = 8) >> .partitionBy(PartitionStrategy.EdgePartition2D)) >> // Run algorithms on graph >> >> Ankur >> >> [1] https://issues.apache.org/jira/browse/SPARK-1986 >> > >
