Task had a not serializable result in spark

问题

I am trying to read cassandra table using the cassandra driver to the spark. Here is the code.

val x = 1 to 2
val rdd = sc.parallelize(x)

val query = "Select data from testkeyspace.testtable where id=%d"

val cc = CassandraConnector(sc.getConf)

val res1 =
    rdd.map{ it => 
            cc.withSessionDo{ session =>
            session.execute( query.format(it))
        }
     }

res1.take(1).foreach(println)

but I am getting the exception Task had a not serializable result.

  org.apache.spark.SparkException: Job aborted due to stage failure: Task 1.0 in stage 24.0 (TID 77) had a not serializable result: com.datastax.driver.core.ArrayBackedResultSet$SinglePage
    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173)
    at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
    at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688)
    at scala.Option.foreach(Option.scala:236)
    at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688)
    at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1391)
    at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
    at akka.actor.ActorCell.invoke(ActorCell.scala:456)
    at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
    at akka.dispatch.Mailbox.run(Mailbox.scala:219)
    at akka.dispatch.ForkJoinExecutorConfigurator$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)

How to Solve this ?

回答1:

The non-serializable object in our transformation is the result coming back from Cassandra, which is an iterable on the query result. You typically want to materialize that collection into the RDD.

One way would be to ask all records resulting from that query:

session.execute( query.format(it)).all()

来源：https://stackoverflow.com/questions/30704659/task-had-a-not-serializable-result-in-spark

标签

apache-spark

spark-cassandra-connector