【发布时间】：2016-07-14 05:30:15
【问题描述】：
我对 spark 和 cassandra 很陌生。我正在尝试一个简单的 java 程序，我正在尝试使用 datastax 提供的 spark-cassandra-connector 向 cassandra 表添加新行。
我在笔记本电脑上运行 dse。使用 java，我试图通过 Spark 将数据保存到 cassandra DB。以下是代码：
Map<String, String> extra = new HashMap<String, String>();
extra.put("city", "bangalore");
extra.put("dept", "software");
List<User> products = Arrays.asList(new User(1, "vamsi", extra));
JavaRDD<User> productsRDD = sc.parallelize(products);
javaFunctions(productsRDD, User.class).saveToCassandra("test", "users");
当我执行此代码时，我收到以下错误
16/03/26 20:57:31 INFO client.AppClient$ClientActor: Connecting to master spark://127.0.0.1:7077...
16/03/26 20:57:44 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory
16/03/26 20:57:51 INFO client.AppClient$ClientActor: Connecting to master spark://127.0.0.1:7077...
16/03/26 20:57:59 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory
16/03/26 20:58:11 ERROR client.AppClient$ClientActor: All masters are unresponsive! Giving up.
16/03/26 20:58:11 ERROR cluster.SparkDeploySchedulerBackend: Spark cluster looks dead, giving up.
16/03/26 20:58:11 INFO scheduler.TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks have all completed, from pool
16/03/26 20:58:11 INFO scheduler.DAGScheduler: Failed to run runJob at RDDFunctions.scala:48
Exception in thread "main" org.apache.spark.SparkException: Job aborted: Spark cluster looks down
at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1020)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1018)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$abortStage(DAGScheduler.scala:1018)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:604)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.scala:190)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at akka.dispatch.ForkJoinExecutorConfigurator$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)
【问题讨论】：
标签： apache-spark datastax datastax-enterprise spark-cassandra-connector