My installation of spark is not working correctly in my local cluster. I
downloaded spark-1.4.0-bin-hadoop2.6.tgz and untar it in a directory
visible to all nodes (these nodes are all accessible by ssh without
password). In addition, I edited conf/slaves so that it contains the names
of the nodes. Then I issued a sbin/start-all.sh . The Web UI in the master
became available and the nodes appeared in the workers sections. However,
if a start a pyspark section (connecting to the master using the URL that
appeared in the Web UI), and try to run this simple example:
a=sc.parallelize([0,1,2,3],2)
a.collect()
I get this error:
15/07/12 19:52:58 ERROR TaskSetManager: Task 1 in stage 0.0 failed 4
times; aborting job
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/myuser/spark-1.4.0-bin-hadoop2.6/python/pyspark/rdd.py",
line 745, in collect
port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
File
"/home/myuser/spark-1.4.0-bin-hadoop2.6/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
File
"/home/myuser/spark-1.4.0-bin-hadoop2.6/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py",
line 300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: org.apache.spark.SparkException: Job aborted due to stage failure:
Task 1 in stage 0.0 failed 4 times, most recent failure: Lost task 1.3
in stage 0.0 (TID 6, 172.16.1.1): java.io.InvalidClassException:
scala.reflect.ClassTag$$anon$1; local class incompatible: stream
classdesc serialVersionUID = -4937928798201944954, local class
serialVersionUID = -8102093212602380348
at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:604)
at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1601)
at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1514)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1750)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1347)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1964)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1888)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1347)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1964)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1888)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1347)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:369)
at
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:69)
at
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:95)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:194)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
at java.lang.Thread.run(Thread.java:722)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1266)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1257)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1256)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1256)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1450)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1411)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
Has anyone experienced this issue? Thanks in advance.
