I am building Spark by myself and I am using Java 7 to both build and run.
I will try with Java 6. Thanks, Suman. On 6/3/2014 7:18 PM, Matei Zaharia wrote:
What Java version do you have, and how did you get Spark (did you build it yourself by any chance or download a pre-built one)? If you build Spark yourself you need to do it with Java 6 — it’s a known issue because of the way Java 6 and 7 package JAR files. But I haven’t seen it result in this particular error. Matei On Jun 3, 2014, at 5:18 PM, Suman Somasundar <[email protected]> wrote:Hi all, I get the following exception when using Spark to run example k-means program. I am using Spark 1.0.0 and running the program locally. java.io.InvalidClassException: scala.Tuple2; invalid descriptor for field _1 at java.io.ObjectStreamClass.readNonProxy(ObjectStreamClass.java:697) at java.io.ObjectInputStream.readClassDescriptor(ObjectInputStream.java:827) at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1583) at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1514) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1750) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1347) at java.io.ObjectInputStream.readObject(ObjectInputStream.java:369) at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:63) at org.apache.spark.serializer.DeserializationStream$$anon$1.getNext(Serializer.scala:125) at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30) at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) at org.apache.spark.Aggregator.combineCombinersByKey(Aggregator.scala:87) at org.apache.spark.rdd.PairRDDFunctions$$anonfun$combineByKey$3.apply(PairRDDFunctions.scala:101) at org.apache.spark.rdd.PairRDDFunctions$$anonfun$combineByKey$3.apply(PairRDDFunctions.scala:100) at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:582) at org.apache.spark.rdd.RDD$$anonfun$14.apply(RDD.scala:582) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) at org.apache.spark.rdd.RDD.iterator(RDD.scala:229) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111) at org.apache.spark.scheduler.Task.run(Task.scala:51) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603) at java.lang.Thread.run(Thread.java:722) Caused by: java.lang.IllegalArgumentException: illegal signature at java.io.ObjectStreamField.<init>(ObjectStreamField.java:119) at java.io.ObjectStreamClass.readNonProxy(ObjectStreamClass.java:695) ... 26 more Anyone know why this is happening? Thanks, Suman.
