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Posted to issues@spark.apache.org by "Dan (JIRA)" <ji...@apache.org> on 2017/06/08 09:26:18 UTC
[jira] [Commented] (SPARK-18802) java.lang.ClassCastException in a
simple spark application
[ https://issues.apache.org/jira/browse/SPARK-18802?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16042448#comment-16042448 ]
Dan commented on SPARK-18802:
-----------------------------
The issue marked here as duplicate is different - it refers to running a Spark application as a Java application from an IDE, whereas in this issue the problem occurrs when running from spark-shell, which is perfectly legitimate.
Is it officially not supported to run Spark applications with a remote master from spark-shell?
> java.lang.ClassCastException in a simple spark application
> ----------------------------------------------------------
>
> Key: SPARK-18802
> URL: https://issues.apache.org/jira/browse/SPARK-18802
> Project: Spark
> Issue Type: Bug
> Affects Versions: 2.0.1
> Reporter: Bingozz
>
> I installed spark-2.0.1-bin-hadoop2.7 on my spark cluster with a master and four workers.
> Both scala versions are 2.11.8 on my local machine and the spark cluster machines, and it both runs well if I use the spark-shell to run apps such as WordCount on local and remote master.
> On my local machine, I added dependencies simplily from directory `spark-2.0.1-bin-hadoop2.7/jars` in my project on intellij IDEA.It runs well if I just load the file from the hdfs, but fails if I do some WordCount based on the loaded file.
> My codes are blew:
> ```
> import org.apache.spark.SparkContext
> import org.apache.spark.SparkConf
> object topK {
> def main(args: Array[String]): Unit = {
> val conf = new SparkConf().setAppName("test_spark")
> .setMaster("spark://10.112.29.56:7077")
> val sc = new SparkContext(conf)
> val lines = sc.textFile("hdfs://10.112.28.38:9000/user/root/covtype")
> println(lines.count())
> // val count = lines.flatMap(s=>s.split(",")).map(s=>(s, 1)).reduceByKey((a, b) => a+b)
> // println(count.count() + "\n")
> sc.stop()
> println("helloworld")
> }
> }
> ```
> And the error is blew:
> Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 5, 10.112.29.80): java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD
> at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2133)
> at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1305)
> at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2024)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1942)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1808)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
> at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2018)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1942)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1808)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:373)
> at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
> at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:71)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1454)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1442)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1441)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1441)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
> at scala.Option.foreach(Option.scala:257)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1667)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1622)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1611)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1890)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1903)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1916)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1930)
> at org.apache.spark.rdd.RDD.count(RDD.scala:1134)
> at topK$.main(topK.scala:16)
> at topK.main(topK.scala)
> Caused by: java.lang.ClassCastException: cannot assign instance of scala.collection.immutable.List$SerializationProxy to field org.apache.spark.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD
> at java.io.ObjectStreamClass$FieldReflector.setObjFieldValues(ObjectStreamClass.java:2133)
> at java.io.ObjectStreamClass.setObjFieldValues(ObjectStreamClass.java:1305)
> at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2024)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1942)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1808)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
> at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2018)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1942)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1808)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:373)
> at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
> at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:71)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
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