Error while executing Spark 2.0 program written in Scala

[#1]

Hi,

I am trying to execute a word count program on Spark 2.0. Instead of Using Data frames, I am doing this using RDDs.

Spark Version - 2.0.2
Scala Version - 2.11.8
Java Version - 1.8.0_144

import org.apache.spark.sql.SparkSession

package word_count {
object HelloWorld {
  def main(args: Array[String]): Unit = {
  // A SparkSession can be created using a builder pattern 
  val spark = SparkSession.builder.master("local")
                                  .appName("my-spark-app")
                                  .getOrCreate()
  
  // Access to the underlying SparkContext
  val sc = spark.sparkContext
 
  // org.apache.spark.rdd.RDD[String]
  val words = sc.textFile("hdfs://quickstart.cloudera:8020/user/cloudera/breast-cancer-wisconsin.data")
 
  // org.apache.spark.rdd.RDD[String]
  val wordsFlatMap = words.flatMap(_.split(","))
 
  // For each word, Create tuple. Key is going to be the word itself. 
  // and value will be '1' 
  // Type - org.apache.spark.rdd.RDD[(String, Int)]
  val wordsMap = wordsFlatMap.map(w => (w,1))
 
  // Sum of all occurrences of a word using 'reduceByKey'
  val wordCount = wordsMap.reduceByKey((a,b) => (a+b))

  val wordCountSorted = wordCount.sortByKey(true)
  wordCountSorted.collect.foreach(println)
 }
}
}

I compiled the program using scalac

$ scalac -classpath "/home/cloudera/spark_progs/spark-sql_2.11-2.0.2.jar:/home/cloudera/spark_progs/spark-core_2.11-2.0.2.jar" -sourcepath src -d bin src/word_count/HelloWorld.scala

then, created a jar file 'hellow.jar'

Executed the script using this:

$ spark-submit --verbose --class word_count.HelloWorld --master local /home/cloudera/spark_progs/hellow.jar

Getting this error

17/10/03 10:18:58 INFO HadoopRDD: Input split: hdfs://quickstart.cloudera:8020/user/cloudera/breast-cancer-wisconsin.data:0+19889
17/10/03 10:18:58 INFO deprecation: mapred.tip.id is deprecated. Instead, use mapreduce.task.id
17/10/03 10:18:58 INFO deprecation: mapred.task.id is deprecated. Instead, use mapreduce.task.attempt.id
17/10/03 10:18:58 INFO deprecation: mapred.task.is.map is deprecated. Instead, use mapreduce.task.ismap
17/10/03 10:18:58 INFO deprecation: mapred.task.partition is deprecated. Instead, use mapreduce.task.partition
17/10/03 10:18:58 INFO deprecation: mapred.job.id is deprecated. Instead, use mapreduce.job.id
17/10/03 10:18:58 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)[Ljava/lang/Object;
       
 at word_count.HelloWorld$.$anonfun$main$1(HelloWorld.scala:28)
        at word_count.HelloWorld$.$anonfun$main$1$adapted(HelloWorld.scala:28)
        at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
        at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:192)
        at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
        at org.apache.spark.scheduler.Task.run(Task.scala:86)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
17/10/03 10:18:58 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)[Ljava/lang/Object;
        at word_count.HelloWorld$.$anonfun$main$1(HelloWorld.scala:28)
        at word_count.HelloWorld$.$anonfun$main$1$adapted(HelloWorld.scala:28)
        at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
        at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:192)
        at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
        at org.apache.spark.scheduler.Task.run(Task.scala:86)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)


17/10/03 10:18:58 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
17/10/03 10:18:58 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
17/10/03 10:18:58 INFO TaskSchedulerImpl: Cancelling stage 0
17/10/03 10:18:58 INFO DAGScheduler: ShuffleMapStage 0 (map at HelloWorld.scala:33) failed in 0.662 s
17/10/03 10:18:58 INFO DAGScheduler: Job 0 failed: collect at HelloWorld.scala:40, took 1.079757 s
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)[Ljava/lang/Object;
        at word_count.HelloWorld$.$anonfun$main$1(HelloWorld.scala:28)
        at word_count.HelloWorld$.$anonfun$main$1$adapted(HelloWorld.scala:28)
        at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
        at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:192)
        at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
        at org.apache.spark.scheduler.Task.run(Task.scala:86)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)


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:1873)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1886)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1899)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:1913)
        at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:912)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
        at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
        at org.apache.spark.rdd.RDD.collect(RDD.scala:911)
        at word_count.HelloWorld$.main(HelloWorld.scala:40)
        at word_count.HelloWorld.main(HelloWorld.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:736)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NoSuchMethodError: scala.Predef$.refArrayOps([Ljava/lang/Object;)[Ljava/lang/Object;
        at word_count.HelloWorld$.$anonfun$main$1(HelloWorld.scala:28)
        at word_count.HelloWorld$.$anonfun$main$1$adapted(HelloWorld.scala:28)
        at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
        at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:192)
        at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
        at org.apache.spark.scheduler.Task.run(Task.scala:86)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
17/10/03 10:18:58 INFO SparkContext: Invoking stop() from shutdown hook
17/10/03 10:18:58 INFO SparkUI: Stopped Spark web UI at http://10.0.2.15:4040
17/10/03 10:18:58 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
17/10/03 10:18:58 INFO MemoryStore: MemoryStore cleared
17/10/03 10:18:58 INFO BlockManager: BlockManager stopped
17/10/03 10:18:58 INFO BlockManagerMaster: BlockManagerMaster stopped
17/10/03 10:18:58 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
17/10/03 10:18:58 INFO SparkContext: Successfully stopped SparkContext
17/10/03 10:18:58 INFO ShutdownHookManager: Shutdown hook called
17/10/03 10:18:58 INFO ShutdownHookManager: Deleting directory /tmp/spark-122fe514-29a5-4387-8990-ec6e83f56e64

I am sure there are better ways to build and execute it using sbt or Maven. but, I tried to run using basic command line tools.

The program is failing after the HDFS file has been read using "sc.textFile".

The same commands are working with 'Spark-shell'.

Can you help me in resolving this ?

Thanks

[#2]

This error will happen if "HelloWorld.scala" is compiled with different version of scala library.

In Spark-shell, you will launch the shell & provide the complete code & it runs in the same environment.. Whereas for Spark-Submit, provided hellow.jar is compiled with different scala library version & spark is running with different scala library version.