I am running the code with @rxin's patch in standalone mode. In my case I am
registering "org.apache.spark.graphx.GraphKryoRegistrator" .
Recently I started to see "com.esotericsoftware.kryo.KryoException:
java.io.IOException: failed to uncompress the chunk: PARSING_ERROR" . Has
anyone seen this? Could it be related to this issue? > Here it trace:
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vids (org.apache.spark.graphx.impl.VertexAttributeBlock)
com.esotericsoftware.kryo.io.Input.fill(Input.java:142)
com.esotericsoftware.kryo.io.Input.require(Input.java:169)
com.esotericsoftware.kryo.io.Input.readLong_slow(Input.java:710)
com.esotericsoftware.kryo.io.Input.readLong(Input.java:665)
com.esotericsoftware.kryo.serializers.DefaultArraySerializers$LongArraySerializer.read(DefaultArraySerializers.java:127)
com.esotericsoftware.kryo.serializers.DefaultArraySerializers$LongArraySerializer.read(DefaultArraySerializers.java:107)
com.esotericsoftware.kryo.Kryo.readObjectOrNull(Kryo.java:699)
com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.read(FieldSerializer.java:611)
com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:221)
com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:43)
com.twitter.chill.Tuple2Serializer.read(TupleSerializers.scala:34)
com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:133)
org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:133)
org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71)
org.apache.spark.storage.BlockManager$LazyProxyIterator$1.hasNext(BlockManager.scala:1054)
scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
scala.collection.Iterator$class.foreach(Iterator.scala:727)
scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
org.apache.spark.graphx.impl.VertexPartitionBaseOps.innerJoinKeepLeft(VertexPartitionBaseOps.scala:192)
org.apache.spark.graphx.impl.EdgePartition.updateVertices(EdgePartition.scala:78)
org.apache.spark.graphx.impl.ReplicatedVertexView$$anonfun$2$$anonfun$apply$1.apply(ReplicatedVertexView.scala:75)
org.apache.spark.graphx.impl.ReplicatedVertexView$$anonfun$2$$anonfun$apply$1.apply(ReplicatedVertexView.scala:73)
scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
org.apache.spark.graphx.EdgeRDD$$anonfun$mapEdgePartitions$1.apply(EdgeRDD.scala:87)
org.apache.spark.graphx.EdgeRDD$$anonfun$mapEdgePartitions$1.apply(EdgeRDD.scala:85)
org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
org.apache.spark.rdd.RDD$$anonfun$13.apply(RDD.scala:596)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
org.apache.spark.scheduler.Task.run(Task.scala:54)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:202)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
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