使用 flink 的 Kafka 消费者消费时出现错误"java.lang.NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaCons



我试图编写一个 Kafka 消费者,它使用来自主题的数据。但是每当我尝试运行它时,都会收到以下错误。

Exception in thread "main" org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply$mcV$sp(JobManager.scala:897)
at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply(JobManager.scala:840)
at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply(JobManager.scala:840)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:39)
at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:415)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: java.lang.NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaConsumer.assign(Ljava/util/List;)V
at org.apache.flink.streaming.connectors.kafka.internal.KafkaConsumerCallBridge.assignPartitions(KafkaConsumerCallBridge.java:39)
at org.apache.flink.streaming.connectors.kafka.internal.KafkaConsumerThread.reassignPartitions(KafkaConsumerThread.java:391)
at org.apache.flink.streaming.connectors.kafka.internal.KafkaConsumerThread.run(KafkaConsumerThread.java:229)

Java 类是:

import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer09;
import org.apache.flink.streaming.util.serialization.SimpleStringSchema;

public class KafkaConsumer {
public static void main(String[] args) throws Exception{
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
ParameterTool parameterTool = ParameterTool.fromArgs(args);
DataStream<String> stream = env.addSource(new FlinkKafkaConsumer09<String>("rdf-new", new SimpleStringSchema(), parameterTool.getProperties()));
stream.print();
env.execute();
}}

我使用相同的代码在 intellij 中创建了一个独立的项目(带有自己的 pom(,它工作正常,但由于我需要另一个项目中的代码,我在已经存在的项目中创建了一个新的 maven 模块,然后尝试运行它,现在它向我显示此错误。

pom.xml 中 maven 模块的依赖关系是:

<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<flink.version>1.4.2</flink.version>
<java.version>1.8</java.version>
<scala.binary.version>2.11</scala.binary.version>
<maven.compiler.source>${java.version}</maven.compiler.source>
<maven.compiler.target>${java.version}</maven.compiler.target>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java_2.11</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_2.11</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-core</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-connector-kafka-0.9_2.11</artifactId>
<version>${flink.version}</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
<version>1.7.7</version>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-cep_2.11</artifactId>
<version>${flink.version}</version>
</dependency>
</dependencies>

我唯一注意到的是,在 maven 模块中,我得到了 KafkaVersion 作为 1.1.0,但 pom 有 KafkaConnector "flink-connector-kafka-0.9_2.11">

2018-05-18 11:14:56,105 - AbstractConfig                           [WARN] - ConsumerConfig            - The configuration 'zookeeper.connect' was supplied but isn't a known config. 
2018-05-18 11:14:56,105 - AppInfoParser$AppInfo                    [INFO] - AppInfoParser             - Kafka version : 1.1.0                              
2018-05-18 11:14:56,105 - AppInfoParser$AppInfo                    [INFO] - AppInfoParser             - Kafka commitId : fdcf75ea326b8e07  

而在独立项目(消费者正常工作的地方(中,Kafka 版本是 0.9.0.1。

11:32:19,537 WARN  org.apache.kafka.clients.consumer.ConsumerConfig              - The configuration zookeeper.connect = localhost:2181 was supplied but isn't a known config.
11:32:19,537 INFO  org.apache.kafka.common.utils.AppInfoParser                   - Kafka version : 0.9.0.1
11:32:19,538 INFO  org.apache.kafka.common.utils.AppInfoParser                   - Kafka commitId : 23c69d62a0cabf06

如果有人能告诉我可能是什么问题,那将是一个巨大的帮助?这可能是因为pom文件中的依赖项,但在独立项目中,它也与我给出的依赖项相同。 提前谢谢。

正如你已经发现的那样,问题是在你的模块中,kafka 版本 (1.0( 与 flink 连接器预期的版本(0.9( 不匹配。

你可以做:

mvn dependency:tree

在命令行上找出 Kafka 客户端依赖项版本的来源。

在模块的 pom 中,您可以添加一个 dependencyManagement 部分,将 kafka 客户端库依赖项版本覆盖为您需要的版本,如下所示:

<dependencyManagement>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>0.9.0.1</version>
</dependency>
</dependencyManagement>

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