[
https://issues.apache.org/jira/browse/SPARK-5351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Takeshi Yamamuro updated SPARK-5351:
------------------------------------
Description:
If the value of 'spark.default.parallelism' does 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)
...
was:
If the value of 'spark.default.parallelism' does 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)
...
> 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' does 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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