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: -- 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) -- -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/SPARK-2878-Kryo-serialisation-with-custom-Kryo-registrator-failing-tp7719p7989.html Sent from the Apache Spark Developers List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org