當我運行此代碼時,出現以下錯誤。我檢查了另一個答案,但它不適合我。爲什麼我得到kafka.cluster.BrokerEndPoint無法轉換爲kafka.cluster.Broker?
有沒有人知道如何解決這個問題?我檢查了依賴關係。
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.streaming.Duration;
import org.apache.spark.streaming.api.java.JavaPairInputDStream;
import org.apache.spark.streaming.api.java.JavaStreamingContext;
import org.apache.spark.streaming.kafka.KafkaUtils;
import java.util.*;
/**
* Created by jonas on 10/10/16.
*/
public class SparkStream {
public static void main(String[] args){
SparkConf conf = new SparkConf()
.setAppName("kafka-sandbox")
.setMaster("local[*]");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaStreamingContext ssc = new JavaStreamingContext(sc, new Duration(2000));
Map<String, String> kafkaParams = new HashMap<>();
kafkaParams.put("metadata.broker.list", "localhost:9092");
Set<String> topics = Collections.singleton("Test");
JavaPairInputDStream<String, String> directKafkaStream = KafkaUtils.createDirectStream(ssc, String.class
, String.class, kafka.serializer.StringDecoder.class, kafka.serializer.StringDecoder.class, kafkaParams, topics);
directKafkaStream.foreachRDD(rdd -> {
System.out.println("--- New RDD with " + rdd.partitions().size()
+ " partitions and " + rdd.count() + " records");
rdd.foreach(record -> System.out.println(record._2));
});
// TODO: processing pipeline
ssc.start();
}
}
我以前在端口2181和卡夫卡服務器0.9.0.0在端口9092.開始飼養員但我得到以下錯誤星火司機:
Exception in thread "main" java.lang.ClassCastException: kafka.cluster.BrokerEndPoint cannot be cast to kafka.cluster.Broker
at org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$2$$anonfun$3$$anonfun$apply$6$$anonfun$apply$7.apply(KafkaCluster.scala:97)
at scala.Option.map(Option.scala:146)
at org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$2$$anonfun$3$$anonfun$apply$6.apply(KafkaCluster.scala:97)
at org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$2$$anonfun$3$$anonfun$apply$6.apply(KafkaCluster.scala:94)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:252)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:252)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:252)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$2$$anonfun$3.apply(KafkaCluster.scala:94)
at org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$2$$anonfun$3.apply(KafkaCluster.scala:93)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:252)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:252)
at scala.collection.immutable.Set$Set1.foreach(Set.scala:79)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:252)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$2.apply(KafkaCluster.scala:93)
at org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$2.apply(KafkaCluster.scala:92)
at scala.util.Either$RightProjection.flatMap(Either.scala:522)
at org.apache.spark.streaming.kafka.KafkaCluster.findLeaders(KafkaCluster.scala:92)
at org.apache.spark.streaming.kafka.KafkaCluster.getLeaderOffsets(KafkaCluster.scala:186)
at org.apache.spark.streaming.kafka.KafkaCluster.getLeaderOffsets(KafkaCluster.scala:168)
at org.apache.spark.streaming.kafka.KafkaCluster.getLatestLeaderOffsets(KafkaCluster.scala:157)
at org.apache.spark.streaming.kafka.KafkaUtils$$anonfun$5.apply(KafkaUtils.scala:215)
at org.apache.spark.streaming.kafka.KafkaUtils$$anonfun$5.apply(KafkaUtils.scala:211)
at scala.util.Either$RightProjection.flatMap(Either.scala:522)
at org.apache.spark.streaming.kafka.KafkaUtils$.getFromOffsets(KafkaUtils.scala:211)
at org.apache.spark.streaming.kafka.KafkaUtils$.createDirectStream(KafkaUtils.scala:484)
at org.apache.spark.streaming.kafka.KafkaUtils$.createDirectStream(KafkaUtils.scala:607)
at org.apache.spark.streaming.kafka.KafkaUtils.createDirectStream(KafkaUtils.scala)
at SparkStream.main(SparkStream.java:28)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
您是否嘗試將'metadata.broker.list'更改爲'bootstrap.servers'?這爲我工作。 –
是的,我試過這個。 –