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
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