我是spark流媒体和kafka的新手，我不理解这个运行时异常。我已经安装了Kafka服务器。

Exception in thread "JobGenerator" java.lang.NoSuchMethodError: org.apache.spark.streaming.scheduler.InputInfoTracker.reportInfo(Lorg/apache/spark/streaming/Time;Lorg/apache/spark/streaming/scheduler/StreamInputInfo;)V
at org.apache.spark.streaming.kafka.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:166)
at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350)
at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349)
at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349)
at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:399)
at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:344)
at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:342)
at scala.Option.orElse(Option.scala:257)

这是我的密码

public class TwitterStreaming {
     // setup kafka : 
     public static final String ZKQuorum = "localhost:2181";
     public static final String ConsumerGroupID = "ingi2145-analytics";
     public static final String ListTopics = "newTweet";
     public static final String ListBrokers = "localhost:9092"; // I'm not sure about ...

    @SuppressWarnings("deprecation")
public static void main(String[] args) throws Exception {
    // Location of the Spark directory
    String sparkHome = "usr/local/spark";
    // URL of the Spark cluster
    String sparkUrl = "local[4]";
    // Location of the required JAR files
    String jarFile = "target/analytics-1.0.jar";
// Generating spark's streaming context
JavaStreamingContext jssc = new JavaStreamingContext(
  sparkUrl, "Streaming", new Duration(1000), sparkHome, new String[]{jarFile});
// Start kafka stream
HashSet<String> topicsSet = new HashSet<String>(Arrays.asList(ListTopics.split(",")));
HashMap<String, String> kafkaParams = new HashMap<String, String>();
kafkaParams.put("metadata.broker.list", ListBrokers);

//JavaPairReceiverInputDStream<String, String> kafkaStream = KafkaUtils.createStream(ssc, ZKQuorum, ConsumerGroupID, mapPartitionsPerTopics);
// Create direct kafka stream with brokers and topics
JavaPairInputDStream<String, String> messages = KafkaUtils.createDirectStream(
    jssc,
    String.class,
    String.class,
    StringDecoder.class,
    StringDecoder.class,
    kafkaParams,
    topicsSet
);

// get the json file :
   JavaDStream<String> json = messages.map(
        new Function<Tuple2<String, String>, String>() {
            public String call(Tuple2<String, String> tuple2) {
              return tuple2._2();
            }
   });

这个项目的目的是通过使用kafka队列从twitter流计算10个bests标签。代码在没有kakfa的情况下运行。你知道有什么问题吗？