1

我无法提交仅执行 System.out.println() 的简单作业。这是我从 SnappyData Lead 那里得到的错误。

snappy-job.sh submit --lead 10.0.18.66:8090 --app-name SimpleJobApp
--class snappydata.jobs.SimpleJob --app-jar simpleJob.jar OKOK{   "status": "ERROR",   "result": {
    "message": "null",
    "errorClass": "scala.MatchError",
    "stack": ["spark.jobserver.JobManagerActor$$anonfun$spark$jobserver$JobManagerActor$$getJobFuture$4.apply(JobManagerActor.scala:244)", "scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)", "scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)", "java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)", "java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)", "java.lang.Thread.run(Thread.java:745)"]   }

这是工作：

public class SimpleJob implements SnappySQLJob {

    /**
     * 
     */
    public SimpleJob() {
        System.out.println(getClass().getSimpleName()+" Created");
    }

    @Override
    public Object runJob(Object sparkContext, Config jobConfig) {
        SnappyContext snappyContext = (SnappyContext)sparkContext;
        System.out.println(getClass().getSimpleName()+".runJob: executed");
        return null;
    }

    @Override
    public SparkJobValidation validate(Object sparkContext, Config jobConfig) {
        SnappyContext snappyContext = (SnappyContext)sparkContext;
        System.out.println(getClass().getSimpleName()+".validate: executed");
        return null;
    }

}

这是 SnappyData 潜在客户日志：

16/08/05 17:44:07.352 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-14 INFO JarManager：为应用程序 SimpleJobApp 存储 jar，1052 字节 16/08/05 17:44:07.368 UTC SnappyLeadJobServer-akka.actor。 default-dispatcher-19 INFO LocalContextSupervisorActor：创建一个名为 snappyContext1470419047337607598 的 SparkContext 16/08/05 17:44:07.369 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-16 INFO JobManagerActor：启动 actor spark.jobserver.JobManagerActor 16/08/05 17:44:07.371 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-16 信息 JobStatusActor：启动演员 spark.jobserver.JobStatusActor 16/08/05 17:44:07.371 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-14 信息JobResultActor：启动演员 spark.jobserver.JobResultActor 16/08/05 17:44:07.371 UTC SnappyLeadJobServer-akka.actor。default-dispatcher-17 信息 LocalContextSupervisorActor：SparkContext snappyContext1470419047337607598 初始化 16/08/05 17:44:07.375 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-16 信息 RddManagerActor：启动演员 spark.jobserver.RddManagerActor 16/08/05 17： 44:07.389 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 信息 JobManagerActor：为应用程序 SimpleJobApp 加载类 snappydata.jobs.SimpleJob 16/08/05 17:44:07.389 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17信息 SparkContext：添加了 JAR /tmp/spark-jobserver/filedao/data/SimpleJobApp-2016-08-05T17_44_07.353Z.jar389 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 信息 JobManagerActor：为应用程序 SimpleJobApp 加载类 snappydata.jobs.SimpleJob 16/08/05 17:44:07.389 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 信息 SparkContext ：添加了 JAR /tmp/spark-jobserver/filedao/data/SimpleJobApp-2016-08-05T17_44_07.353Z.jar 在389 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 信息 JobManagerActor：为应用程序 SimpleJobApp 加载类 snappydata.jobs.SimpleJob 16/08/05 17:44:07.389 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 信息 SparkContext ：添加了 JAR /tmp/spark-jobserver/filedao/data/SimpleJobApp-2016-08-05T17_44_07.353Z.jar 在http://10.0.18.66:50772/jars/SimpleJobApp-2016-08-05T17_44_07.353Z.jar时间戳为 1470419047389 16/08/05 17:44:07.390 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 INFO ContextURLClassLoader：添加 URL 文件：/tmp/spark-jobserver/filedao/data/SimpleJobApp-2016-08-05T17_44_07 .353Z.jar 到 ContextURLClassLoader 16/08/05 17:44:07.390 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 信息 JarUtils$：使用加载器 spark.jobserver.util.ContextURLClassLoader@ 加载对象 snappydata.jobs.SimpleJob$ 709f3e69 16/08/05 17:44:07.391 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 信息 JarUtils$：使用加载程序 spark.jobserver.util.ContextURLClassLoader@709f3e69 加载类 snappydata.jobs.SimpleJob@709f3e69 17:44:07.392 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 INFO JobManagerActor：启动 Spark 作业 376c8d23-6b49-4138-aadd-e4cff8f9f945 [snappydata.jobs.SimpleJob] ... 2005 年 8 月 16 日 17:44 ：07.398 UTC pool-29-thread-1 INFO JobManagerActor：启动作业未来线程 16/08/05 17:44:07.402 UTC SnappyLeadJobServer-akka.actor.default-dispatcher-17 INFO JobStatusActor：作业 376c8d23-6b49-4138-aadd- e4cff8f9f945 以错误结束 16/08/05 17:44:07.402 UTC pool-29-thread-2 WARN JobManagerActor：来自作业 376c8d23-6b49-4138-aadd-e4cff8f9f945 的异常：scala.MatchError：在 spark.jobserver.JobManagerActor 处为空$$anonfun$spark$jobserver$JobManagerActor$$getJobFuture$4.apply(JobManagerActor.scala:244) at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24) at scala.concurrent.impl.Future $PromiseCompletingRunnable.run(Future.scala:24) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:第617章）

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1 回答 1

2

带有 Scala API 的 Java 程序给出了这个错误。我用 Java API 编写了 SimpleJob。

public class SimpleJob extends JavaSnappySQLJob {

  public SimpleJob() {
    System.out.println(getClass().getSimpleName()+" Created");
  }

  @Override
  public Object runJavaJob(SnappyContext snappyContext, Config config) {
       System.out.println(getClass().getSimpleName()+".runJob:    
       executed");
       return null;
  }

  @Override
  public JSparkJobValidation isValidJob(SnappyContext snappyContext, Config config) {
System.out.println(getClass().getSimpleName()+".validate: executed");
return new JSparkJobValid();
}

}
于 2016-08-06T08:58:25.247 回答