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 ... View more