为什么我的火花工作卡在 Kafka 流媒体

火花作业提交到由minicube创建的kubernetes集群中的spark集群后的输出：

----------------- RUNNING ----------------------
[Stage 0:>                                                          (0 + 0) / 2]17/06/16 16:08:15 INFO VerifiableProperties: Verifying properties
17/06/16 16:08:15 INFO VerifiableProperties: Property group.id is overridden to xxx
17/06/16 16:08:15 INFO VerifiableProperties: Property zookeeper.connect is overridden to 
xxxxxxxxxxxxxxxxxxxxx
[Stage 0:>                                                          (0 + 0) / 2]

来自spark web ui的信息：

foreachRDD at myfile.scala：49详细信息org.apache.spark.streaming.dstream.DStream.foreachRDD（DStream.scala：625）myfile.run（myfile.scala：49）Myjob $ .main（Myjob.scala：100） Myjob.main（Myjob.scala）sun.reflect.NativeMethodAccessorImpl.invoke0（Native Method）sun.reflect.NativeMethodAccessorImpl.invoke（NativeMethodAccessorImpl.java:62）sun.reflect.DelegatingMethodAccessorImpl.invoke（DelegatingMethodAccessorImpl.java:43）java.lang .reflect.Method.invoke（Method.java:498）org.apache.spark.deploy.SparkSubmit $ .org $ apache $ spark $ deploy $ SparkSubmit $$ runMain（SparkSubmit.scala：743）org.apache.spark.deploy .SparkSubmit $ .doRunMain $ 1（SparkSubmit.scala：187）org.apache.spark.deploy.SparkSubmit $ .submit（SparkSubmit.scala：212）org.apache.spark.deploy.SparkSubmit $ .main（SparkSubmit.scala：126 ）org.apache.spark.deploy.SparkSubmit.main（SparkSubmit.scala）

我的代码：

println("----------------- RUNNING ----------------------");
    eventsStream.foreachRDD { rdd =>
        println("xxxxxxxxxxxxxxxxxxxxx")
        //println(rdd.count());
    if( !rdd.isEmpty )
    {
      println("yyyyyyyyyyyyyyyyyyyyyyy")
        val df = sqlContext.read.json(rdd);
        df.registerTempTable("data");

        val rules = rulesSource.rules();
        var resultsRDD : RDD[(String,String,Long,Long,Long,Long,Long,Long)]= sc.emptyRDD;
        rules.foreach { rule =>
        ...
        }

        sqlContext.dropTempTable("data")
    }
    else
    {
        println("-------");
        println("NO DATA");
        println("-------");
    }
}

任何的想法？谢谢

UPDATE

我的火花工作在独立火花的码头 Worker 容器中运行良好 . 但是如果提交给kubernetes集群中的spark集群，它就会卡在kafka流中 . 不明白为什么？

spark master的yaml文件来自https://github.com/phatak-dev/kubernetes-spark/blob/master/spark-master.yaml

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  labels:
    name: spark-master
  name: spark-master
spec:
  replicas: 1
  template:
    metadata:
      labels:
        name: spark-master
    spec:
      containers:
      - name : spark-master
        image: spark-2.1.0-bin-hadoop2.6 
        imagePullPolicy: "IfNotPresent"
        name: spark-master
        ports:
        - containerPort: 7077
          protocol: TCP
        command:
         - "/bin/bash"
         - "-c"
         - "--"
        args :
- './start-master.sh ; sleep infinity'