[jira] [Created] (SPARK-5351) Can't zip RDDs with unequal numbers of partitions in ReplicatedVertexView.upgrade()

["Takeshi Yamamuro (JIRA)" <ji...@apache.org>]

Takeshi Yamamuro created SPARK-5351:
---------------------------------------

             Summary: Can't zip RDDs with unequal numbers of partitions in ReplicatedVertexView.upgrade()
                 Key: SPARK-5351
                 URL: https://issues.apache.org/jira/browse/SPARK-5351
             Project: Spark
          Issue Type: Bug
          Components: GraphX
            Reporter: Takeshi Yamamuro


If the value of 'spark.default.parallelism' do not match
the number of partitoins in EdgePartition(EdgeRDDImpl), 
the following error occurs in ReplicatedVertexView.scala:72;

object GraphTest extends Logging {
  def run[VD: ClassTag, ED: ClassTag](graph: Graph[VD, ED]): VertexRDD[Int] = {
    graph.aggregateMessages[Int](
      ctx => {
        ctx.sendToSrc(1)
        ctx.sendToDst(2)
      },
      _ + _)
  }
}

val g = GraphLoader.edgeListFile(sc, "graph.txt")
val rdd = GraphTest.run(g)

java.lang.IllegalArgumentException: Can't zip RDDs with unequal numbers of partitions
	at org.apache.spark.rdd.ZippedPartitionsBaseRDD.getPartitions(ZippedPartitionsRDD.scala:57)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:206)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:204)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:206)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:204)
	at scala.Option.getOrElse(Option.scala:120)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:204)
	at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:82)
	at org.apache.spark.rdd.ShuffledRDD.getDependencies(ShuffledRDD.scala:80)
	at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:193)
	at org.apache.spark.rdd.RDD$$anonfun$dependencies$2.apply(RDD.scala:191)
    ...




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