I get the following stacktrace if it is of any help.
14/09/23 15:46:02 INFO scheduler.DAGScheduler: failed: Set()
14/09/23 15:46:02 INFO scheduler.DAGScheduler: Missing parents for Stage 7:
List()
14/09/23 15:46:02 INFO scheduler.DAGScheduler: Submitting Stage 7
(MapPartitionsRDD[24] at combineByKey at NaiveBayes.scala:91), which is now
runnable
14/09/23 15:46:02 INFO executor.Executor: Finished task ID 7
14/09/23 15:46:02 INFO scheduler.DAGScheduler: Submitting 1 missing tasks
from Stage 7 (MapPartitionsRDD[24] at combineByKey at NaiveBayes.scala:91)
14/09/23 15:46:02 INFO scheduler.TaskSchedulerImpl: Adding task set 7.0 with
1 tasks
14/09/23 15:46:02 INFO scheduler.TaskSetManager: Starting task 7.0:0 as TID
8 on executor localhost: localhost (PROCESS_LOCAL)
14/09/23 15:46:02 INFO scheduler.TaskSetManager: Serialized task 7.0:0 as
535061 bytes in 1 ms
14/09/23 15:46:02 INFO executor.Executor: Running task ID 8
14/09/23 15:46:02 INFO storage.BlockManager: Found block broadcast_0 locally
14/09/23 15:46:03 INFO
storage.BlockFetcherIterator$BasicBlockFetcherIterator: maxBytesInFlight:
50331648, targetRequestSize: 10066329
14/09/23 15:46:03 INFO
storage.BlockFetcherIterator$BasicBlockFetcherIterator: Getting 1 non-empty
blocks out of 1 blocks
14/09/23 15:46:03 INFO
storage.BlockFetcherIterator$BasicBlockFetcherIterator: Started 0 remote
fetches in 1 ms
14/09/23 15:46:04 WARN collection.ExternalAppendOnlyMap: Spilling in-memory
map of 452 MB to disk (1 time so far)
14/09/23 15:46:07 WARN collection.ExternalAppendOnlyMap: Spilling in-memory
map of 452 MB to disk (2 times so far)
14/09/23 15:46:09 WARN collection.ExternalAppendOnlyMap: Spilling in-memory
map of 438 MB to disk (3 times so far)
14/09/23 15:46:12 WARN collection.ExternalAppendOnlyMap: Spilling in-memory
map of 479 MB to disk (4 times so far)
14/09/23 15:46:22 ERROR executor.Executor: Exception in task ID 8
java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOf(Arrays.java:3236)
at
java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
at
java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
at
java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:140)
at
java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1877)
at
java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1786)
at
java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1189)
at
java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
at
org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
at
org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:71)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
14/09/23 15:46:22 WARN scheduler.TaskSetManager: Lost TID 8 (task 7.0:0)
14/09/23 15:46:22 ERROR executor.ExecutorUncaughtExceptionHandler: Uncaught
exception in thread Thread[Executor task launch worker-1,5,main]
java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOf(Arrays.java:3236)
at
java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
at
java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
at
java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:140)
at
java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1877)
at
java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1786)
at
java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1189)
at
java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
at
org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
at
org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:71)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
14/09/23 15:46:22 WARN scheduler.TaskSetManager: Loss was due to
java.lang.OutOfMemoryError
java.lang.OutOfMemoryError: Java heap space
at java.util.Arrays.copyOf(Arrays.java:3236)
at
java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
at
java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
at
java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:140)
at
java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1877)
at
java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1786)
at
java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1189)
at
java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
at
org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
at
org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:71)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
14/09/23 15:46:22 ERROR scheduler.TaskSetManager: Task 7.0:0 failed 1 times;
aborting job
14/09/23 15:46:22 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 7.0,
whose tasks have all completed, from pool
14/09/23 15:46:22 INFO scheduler.TaskSchedulerImpl: Cancelling stage 7
14/09/23 15:46:22 INFO scheduler.DAGScheduler: Failed to run collect at
NaiveBayes.scala:96
Exception in thread "main" org.apache.spark.SparkException: Job aborted due
to stage failure: Task 7.0:0 failed 1 times, most recent failure: Exception
failure in TID 8 on host localhost: java.lang.OutOfMemoryError: Java heap
space
java.util.Arrays.copyOf(Arrays.java:3236)
java.io.ByteArrayOutputStream.grow(ByteArrayOutputStream.java:113)
java.io.ByteArrayOutputStream.ensureCapacity(ByteArrayOutputStream.java:93)
java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:140)
java.io.ObjectOutputStream$BlockDataOutputStream.drain(ObjectOutputStream.java:1877)
java.io.ObjectOutputStream$BlockDataOutputStream.setBlockDataMode(ObjectOutputStream.java:1786)
java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1189)
java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:348)
org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:71)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1049)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1033)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1031)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1031)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:635)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1234)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
at
scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
-----
Novice Big Data Programmer
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