scala - 在Spark独立模式下运行Spark Job Server时发生异常

Question

我正在尝试Spark job server-特别是docker container option.，我能够在spark本地模式下运行WordCountExample应用程序。但是，当我尝试将应用程序指向远程Spark master时遇到异常。

以下是我用来运行WordCountExample应用程序的命令:

 1. sudo docker run -d -p 8090:8090 -e SPARK_MASTER=spark://10.501.502.503:7077 velvia/spark-jobserver:0.6.0
 2. sbt job-server-tests/package
 3. curl --data-binary @job-server-tests/target/scala-2.10/job-server-tests_2.10-0.6.2-SNAPSHOT.jar localhost:8090/jars/test
 4. curl -d "input.string = a b c a b see" 'localhost:8090/jobs?appName=test&classPath=spark.jobserver.WordCountExample'

以下是我执行上述第4步时遇到的异常:

{
  "status": "ERROR",
  "result": {
    "message": "Futures timed out after [15 seconds]",
    "errorClass": "java.util.concurrent.TimeoutException",
    "stack": ["scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)", "scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)", "scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)", "akka.dispatch.MonitorableThreadFactory$AkkaForkJoinWorkerThread$$anon$3.block(ThreadPoolBuilder.scala:169)", "scala.concurrent.forkjoin.ForkJoinPool.managedBlock(ForkJoinPool.java:3640)", "akka.dispatch.MonitorableThreadFactory$AkkaForkJoinWorkerThread.blockOn(ThreadPoolBuilder.scala:167)", "akka.dispatch.BatchingExecutor$Batch.blockOn(BatchingExecutor.scala:101)", "scala.concurrent.Await$.result(package.scala:107)", ...

我使用以下命令启动了远程Spark集群(主服务器和工作服务器)

cd $SPARK_HOME
./sbin/start-all.sh

远程集群使用 Spark version 1.5.1(即，预构建的二进制 spark-1.5.1-bin-hadoop2.6)

问题

关于如何调试它的任何建议？

是否可以查看任何日志以找出根本原因？

提前致谢。

Answer 1

这可能是网络问题。应该可以从Spark集群访问SJS服务器。