Трансляция из HBase с помощью искры не сериализуемый

Я пытаюсь передавать данные из HBase с помощью Spark. При запуске скрипта scala я получаю следующую ошибку:

ERROR Executor: Exception in task 0.0 in stage 10.0 (TID 10)
java.io.NotSerializableException: org.apache.hadoop.hbase.io.ImmutableBytesWritable

Сначала я подумал, что мои данные были отформатированы неправильно, поэтому я попытался создать очень простую таблицу только с одной строкой:

row1 column=fam1:c1, timestamp=1422306700801, value=abc

Даже с этой строкой я все равно получаю ту же ошибку. Есть что-нибудь очевидное, что я упускаю? Вот сценарий:

def convertScanToString(scan: Scan): String = {
  val out: ByteArrayOutputStream = new ByteArrayOutputStream
  val dos: DataOutputStream = new DataOutputStream(out)
  scan.write(dos)
  Base64.encodeBytes(out.toByteArray)
}

val conf = HBaseConfiguration.create()
val scan = new Scan()
scan.setCaching(500)
scan.setCacheBlocks(false)
conf.set(TableInputFormat.INPUT_TABLE, "test_table")
conf.set(TableInputFormat.SCAN, convertScanToString(scan))
val rdd = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat], classOf[ImmutableBytesWritable], classOf[Result])
rdd.first

EDIT: как и было запрошено, вот полная трассировка стека

15/01/26 21:50:50 ERROR Executor: Exception in task 0.0 in stage 14.0 (TID 14)
java.io.NotSerializableException: org.apache.hadoop.hbase.io.ImmutableBytesWritable
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1183)
    at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1547)
    at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1508)
    at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java:1431)
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1177)
    at java.io.ObjectOutputStream.writeArray(ObjectOutputStream.java:1377)
    at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1173)
    at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:347)
    at org.apache.spark.serializer.JavaSerializationStream.writeObject(JavaSerializer.scala:42)
    at org.apache.spark.serializer.JavaSerializerInstance.serialize(JavaSerializer.scala:73)
    at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:206)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:744)
15/01/26 21:50:50 ERROR TaskSetManager: Task 0.0 in stage 14.0 (TID 14) had a not serializable result: org.apache.hadoop.hbase.io.ImmutableBytesWritable; not retrying
15/01/26 21:50:50 INFO TaskSchedulerImpl: Removed TaskSet 14.0, whose tasks have all completed, from pool
15/01/26 21:50:50 INFO TaskSchedulerImpl: Cancelling stage 14
15/01/26 21:50:50 INFO DAGScheduler: Job 14 failed: first at <console>:207, took 0.021506 s
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 14.0 (TID 14) had a not serializable result: org.apache.hadoop.hbase.io.ImmutableBytesWritable
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
    at scala.Option.foreach(Option.scala:236)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
    at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375)
    at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
    at akka.actor.ActorCell.invoke(ActorCell.scala:487)
    at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
    at akka.dispatch.Mailbox.run(Mailbox.scala:220)
    at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
    at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
    at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
    at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)