kafka 报错分析

kafka 更新版本之后报错如下:

2015-12-02 15:14:12  [ pool-1-thread-2:4217697 ] - [ ERROR ]  Failed to collate messages by topic, partition due to: fetching topic metadata for topics [Set(test)] from broker [ArrayBuffer(id:0,host:172.16.4.214,port:9092)] failed
2015-12-02 15:14:12  [ pool-1-thread-5:4217707 ] - [ ERROR ]  Producer connection to 172.16.4.214:9092 unsuccessful
java.net.ConnectException: Connection refused: connect
    at sun.nio.ch.Net.connect0(Native Method)
    at sun.nio.ch.Net.connect(Net.java:435)
    at sun.nio.ch.Net.connect(Net.java:427)
    at sun.nio.ch.SocketChannelImpl.connect(SocketChannelImpl.java:643)
    at kafka.network.BlockingChannel.connect(Unknown Source)
    at kafka.producer.SyncProducer.connect(Unknown Source)
    at kafka.producer.SyncProducer.getOrMakeConnection(Unknown Source)
    at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(Unknown Source)
	at kafka.producer.SyncProducer.send(Unknown Source)
	at kafka.client.ClientUtils$.fetchTopicMetadata(Unknown Source)
	at kafka.producer.BrokerPartitionInfo.updateInfo(Unknown Source)
	at kafka.producer.async.DefaultEventHandler$$anonfun$handle$2.apply$mcV$sp(Unknown Source)
    at kafka.utils.Utils$.swallow(Unknown Source)
    at kafka.utils.Logging$class.swallowError(Unknown Source)
    at kafka.utils.Utils$.swallowError(Unknown Source)
    at kafka.producer.async.DefaultEventHandler.handle(Unknown Source)
    at kafka.producer.Producer.send(Unknown Source)
    at kafka.javaapi.producer.Producer.send(Unknown Source)
    at com.hta.webmagic.pipeline.TestKafkaPipeline.KafkaProducer(TestKafkaPipeline.java:42)
    at com.hta.webmagic.pipeline.TestKafkaPipeline.process(TestKafkaPipeline.java:35)
    at us.codecraft.webmagic.Spider.processRequest(Spider.java:439)
    at us.codecraft.webmagic.Spider$1.run(Spider.java:336)
    at us.codecraft.webmagic.thread.CountableThreadPool$1.run(CountableThreadPool.java:74)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)
2015-12-02 15:14:12  [ pool-1-thread-5:4217707 ] - [ ERROR ]  fetching topic metadata for topics [Set(test)] from broker [ArrayBuffer(id:0,host:172.16.4.214,port:9092)] failed
kafka.common.KafkaException: fetching topic metadata for topics [Set(test)] from broker [ArrayBuffer(id:0,host:172.16.4.214,port:9092)] failed
    at kafka.client.ClientUtils$.fetchTopicMetadata(Unknown Source)
    at kafka.producer.BrokerPartitionInfo.updateInfo(Unknown Source)
    at kafka.producer.async.DefaultEventHandler$$anonfun$handle$2.apply$mcV$sp(Unknown Source)
	at kafka.utils.Utils$.swallow(Unknown Source)
	at kafka.utils.Logging$class.swallowError(Unknown Source)
	at kafka.utils.Utils$.swallowError(Unknown Source)
	at kafka.producer.async.DefaultEventHandler.handle(Unknown Source)
	at kafka.producer.Producer.send(Unknown Source)
	at kafka.javaapi.producer.Producer.send(Unknown Source)
	at com.hta.webmagic.pipeline.TestKafkaPipeline.KafkaProducer(TestKafkaPipeline.java:42)
	at com.hta.webmagic.pipeline.TestKafkaPipeline.process(TestKafkaPipeline.java:35)
	at us.codecraft.webmagic.Spider.processRequest(Spider.java:439)
	at us.codecraft.webmagic.Spider$1.run(Spider.java:336)
	at us.codecraft.webmagic.thread.CountableThreadPool$1.run(CountableThreadPool.java:74)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.net.ConnectException: Connection refused: connect
	at sun.nio.ch.Net.connect0(Native Method)
	at sun.nio.ch.Net.connect(Net.java:435)
	at sun.nio.ch.Net.connect(Net.java:427)
	at sun.nio.ch.SocketChannelImpl.connect(SocketChannelImpl.java:643)
	at kafka.network.BlockingChannel.connect(Unknown Source)
	at kafka.producer.SyncProducer.connect(Unknown Source)
	at kafka.producer.SyncProducer.getOrMakeConnection(Unknown Source)
	at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(Unknown Source)
    at kafka.producer.SyncProducer.send(Unknown Source)
    ... 17 more

网上都是说配置文件出问题的,还有建议删除log 目录

经研究解决办法如下:
先看版本

旧版本:kafka_2.10-0.8.2.2
基本上就是server.xml 配置问题,保证hostname 和zookeer 的IP地址正确

报错表现:可以看到topicList
可以新建topic

不能正常接收、发送消息

新版本:kafka_2.10-0.9.0.0
最后报错最可能是hosts 文件配置问题,需要配置好对应关系
这点和clouder 的集群安装类似
然后再检查server.xml 配置文件

新版本 报错表现:
本地命令行可以正常的发送、接收消息,Eclipse 和远程机器无法发送消息。

<think>好的,用户遇到了Spring Boot连接Kafka时的错误,尽管telnet测试成功。我需要先分析可能的原因。首先,telnet成功只能说明网络层和端口可达,但Kafka的连接还涉及其他配置。 第一步,检查Kafka的版本兼容性。Spring Boot和Kafka客户端版本不匹配可能导致连接问题。用户需要确认spring-kafkakafka-clients的版本是否与Kafka broker兼容。例如,旧版客户端可能无法连接新版本broker。 第二步,检查Kafka的配置参数是否正确。比如bootstrap-servers是否写对了地址和端口,生产者和消费者的配置是否有误。还有安全相关的配置,比如SSL或者SASL,如果Kafka启用了安全认证,而Spring Boot没有配置,就会连接失败。 第三步,查看日志信息。Spring Boot启动时的日志会显示连接Kafka的详细信息,包括错误堆栈。常见的错误如超时、无法找到broker、认证失败等,需要根据具体日志定位问题。 第四步,考虑防火墙或安全组的设置。虽然telnet通了,但可能只允许特定IP或限制了某些协议。比如,Kafka可能需要多个端口通信,而用户只开放了其中一个。 第五步,检查Kafka broker的advertised.listeners配置是否正确。如果broker配置的advertised.listeners是内网地址,而Spring Boot应用从外网连接,就会导致无法正确路由。 最后,建议用户提供具体的错误日志和配置片段,以便更准确地诊断问题。比如是否有Connection refused、Authentication failed等错误信息,这些都能帮助缩小问题范围。</think>针对Spring Boot连接Kafka出现连接错误的问题,以下是分步排查指南: ### 一、基础网络验证 虽然telnet $KAFKA_HOST:$PORT 显示连接成功,但需注意: - Kafka实际需要同时开放9092(生产消费端口)和2181(Zookeeper端口)[^1] - 验证防火墙是否允许双向通信,特别是云服务器安全组规则 ### 二、版本兼容性检查 在pom.xml中确认版本对应关系: ```xml <!-- 示例:Spring Boot 2.7.x对应kafka-client 3.2.x --> <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> <version>2.8.8</version> </dependency> ``` 版本冲突常见错误特征: ``` org.apache.kafka.common.errors.TimeoutException: Failed to update metadata ``` ### 三、关键配置验证 application.yml需包含最小配置集: ```yaml spring: kafka: bootstrap-servers: your-server:9092 producer: key-serializer: org.apache.kafka.common.serialization.StringSerializer value-serializer: org.apache.kafka.common.serialization.StringSerializer consumer: group-id: my-group auto-offset-reset: earliest key-deserializer: org.apache.kafka.common.serialization.StringDeserializer value-deserializer: org.apache.kafka.common.serialization.StringDeserializer ``` ### 四、高级配置排查 1. SSL加密配置检查: ```yaml security: protocol: SSL ssl: trust-store-location: classpath:kafka.client.truststore.jks trust-store-password: 123456 ``` 2. SASL认证配置示例: ```yaml sasl: jaas: config: org.apache.kafka.common.security.plain.PlainLoginModule required username="admin" password="admin-secret"; mechanism: PLAIN ``` ### 五、日志分析要点 在application.yml中开启DEBUG日志: ```yaml logging: level: org.apache.kafka: DEBUG org.springframework.kafka: DEBUG ``` 重点关注以下日志模式: 1. 连接超时: ``` DEBUG o.a.k.c.NetworkClient - [Consumer clientId=consumer-1, groupId=my-group] Connection to node -1 failed ``` 2. 认证失败: ``` ERROR o.a.k.c.NetworkClient - [Consumer clientId=consumer-1, groupId=my-group] Authentication failed ``` ### 六、测试验证方法 创建最小化测试用例: ```java @SpringBootTest public class KafkaConnectTest { @Autowired private KafkaTemplate<String, String> kafkaTemplate; @Test void testConnection() { kafkaTemplate.send("test-topic", "key", "test message") .addCallback( result -> System.out.println("发送成功"), ex -> System.err.println("发送失败: " + ex.getMessage()) ); } } ```
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