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) ... -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org