Spark Kafka流-java.lang.NoClassDefFoundError：akka / util / Helpers $ ConfigOps $

Question

我正在写一个用Scala编写的Spark应用程序，它监听Kafka主题。 该应用程序仅打印出收到的所有消息。 我正在本机上本地运行...

......
import org.apache.spark.SparkConf
import org.apache.spark.sql.SQLContext
import org.apache.spark.streaming.kafka.KafkaUtils
import org.apache.spark.streaming.{Seconds, StreamingContext}
.....
    val topics = "topicName";//args(2)
    val numThreads = 1;
    val zkQuorum = "zookeeper quorum"
    val group = "groupName"
    //val inputTable = args(5)

// Set application name (when we run this on the cluster this is what will appear in the spark UI)
val sparkConf = new SparkConf().setAppName("appName").setMaster("local")

// On what topics shall I listen? Create an array of topics to pass to the stream configurations...
val topicMap = topics.split(",").map((_, numThreads.toInt)).toMap

// Will poll every X seconds
val ssc = new StreamingContext(sparkConf, Seconds(15))

// Create stream (has not been triggered yet)
val stream = KafkaUtils.createStream(ssc, zkQuorum, group, topicMap).map(_._2)

// For each stream!
stream.foreachRDD { rdd =>

  // Check if empty...
  if (rdd.toLocalIterator.nonEmpty)
  {
    // Create SQL Context out of the streaming
    val sqlContext = new SQLContext(ssc.sparkContext)

    // Register temporary table out of the recieved
    sqlContext.read.json(rdd).registerTempTable("resultRecieved")

    // Create SQL Context, and you can filter
    val result = sqlContext.sql(
      "select * FROM resultRecieved")

    if(result.count() == 0 )
      println("No results!")
    else{
      println(result.count() + " Results!")

    }
  }
}

// Print stream
stream.print

// Trigger!
ssc.start()

// Await stopping of the service...
ssc.awaitTermination()

我正在使用Scala 2.10.4，这是我的Maven配置

    <dependencies>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>1.5.2</version>
    </dependency>

    <dependency>
        <groupId>org.apache.kafka</groupId>
        <artifactId>kafka_2.10</artifactId>
        <version>0.8.2.1</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming_2.10</artifactId>
        <version>1.0.2</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>1.5.1</version>
    </dependency>
    <dependency>
        <groupId>com.typesafe</groupId>
        <artifactId>config</artifactId>
        <version>1.2.1</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-streaming-kafka_2.10</artifactId>
        <version>0.9.0-incubating</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.10</artifactId>
        <version>${spark.version}</version>
    </dependency>
    <dependency>
        <groupId>org.scala-lang</groupId>
        <artifactId>scala-swing</artifactId>
        <version>2.10.4</version>
    </dependency>
    <dependency>
        <groupId>org.scala-lang</groupId>
        <artifactId>scala-library</artifactId>
        <version>2.10.1</version>
    </dependency>
    <dependency>
        <groupId>com.typesafe.akka</groupId>
        <artifactId>akka-actor_2.10</artifactId>
        <version>2.2.1</version>
    </dependency>
</dependencies>

其中scala.version为2.10.1，spark.version为1.5.1。

我正进入（状态

Exception in thread "main" java.lang.NoClassDefFoundError: akka/util/Helpers$ConfigOps$
at akka.remote.RemoteSettings.<init>(RemoteSettings.scala:49)
at akka.remote.RemoteActorRefProvider.<init>(RemoteActorRefProvider.scala:114)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:422)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$2.apply(DynamicAccess.scala:78)
at scala.util.Try$.apply(Try.scala:161)
at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:73)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:84)
at akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:84)
at scala.util.Success.flatMap(Try.scala:200)
at akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:84)
at akka.actor.ActorSystemImpl.<init>(ActorSystem.scala:550)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:111)
at akka.actor.ActorSystem$.apply(ActorSystem.scala:104)
at org.apache.spark.util.AkkaUtils$.org$apache$spark$util$AkkaUtils$$doCreateActorSystem(AkkaUtils.scala:121)
at org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:53)
at org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:52)
at org.apache.spark.util.Utils$$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:1913)
at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:1904)
at org.apache.spark.util.AkkaUtils$.createActorSystem(AkkaUtils.scala:55)
at org.apache.spark.rpc.akka.AkkaRpcEnvFactory.create(AkkaRpcEnv.scala:253)
at org.apache.spark.rpc.RpcEnv$.create(RpcEnv.scala:53)
at org.apache.spark.SparkEnv$.create(SparkEnv.scala:252)
at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:193)
at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:277)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:450)
at org.apache.spark.streaming.StreamingContext$.createNewSparkContext(StreamingContext.scala:549)
at org.apache.spark.streaming.StreamingContext.<init>(StreamingContext.scala:75)
at SIVConsumer$.main(SIVConsumer.scala:33)
at SIVConsumer.main(SIVConsumer.scala)
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:497)
at com.intellij.rt.execution.application.AppMain.main(AppMain.java:144)
Caused by: java.lang.ClassNotFoundException: akka.util.Helpers$ConfigOps$
    at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
    at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
    at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
    ... 38 more

Process finished with exit code 1

知道哪些依赖关系不能很好地相处吗？ 我尝试使用最新的Scala二进制文件，但仍然失败。

Answer 1

我猜问题出在火花流版本上。 它应该与spark-core（1.5.2）相同。 与spark-streaming-kafka_2.10相同。

您可以从我的示例项目https://github.com/atulsm/Test_Projects/blob/master/pom.xml引用有效的pom.xml。

Answer 2

问题是火花流的版本不正确。 对于其他人，maven中的以下依赖项列表允许

1. 听卡夫卡主题
2. 创建火花流

3. 写入HBase表

    <dependencies> <dependency> <groupId>org.scala-lang</groupId> <artifactId>scala-library</artifactId> <version>2.10.4</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-core_2.10</artifactId> <version>1.4.1</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.10</artifactId> <version>1.4.1</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-kafka_2.10</artifactId> <version>1.4.1</version> </dependency> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.10</artifactId> <version>0.8.2.2</version> </dependency> <dependency> <groupId>org.json</groupId> <artifactId>json</artifactId> <version>20150729</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-common</artifactId> <version>1.1.1</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-server</artifactId> <version>1.1.1</version> </dependency> <dependency> <groupId>org.apache.hbase</groupId> <artifactId>hbase-client</artifactId> <version>1.1.1</version> </dependency> <dependency> <groupId>org.codehaus.jackson</groupId> <artifactId>jackson-core-asl</artifactId> <version>1.8.3</version> </dependency> <dependency> <groupId>org.codehaus.jackson</groupId> <artifactId>jackson-mapper-asl</artifactId> <version>1.8.3</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.10</artifactId> <version>1.4.1</version> </dependency>