SpringBoot2对接Kafka

本文详细介绍了如何在SpringBoot2项目中集成Kafka,包括依赖导入、配置文件设置、生产者与消费者实现、Controller编写及配置类定义。通过具体代码示例,帮助读者快速上手Kafka消息队列的使用。

SpringBoot2对接Kafka

1、依赖导入

<!--kafka依赖注入-->
<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
</dependency>

2、application.yml配置

spring:
  kafka:     # 指定kafka 代理地址,可以多个
    bootstrap-servers: 127.0.0.1:9092
    template:    # 指定默认topic id
      default-topic: producer
    listener:   # 指定listener 容器中的线程数,用于提高并发量
      concurrency: 5
    consumer:
      group-id: myGroup # 指定默认消费者group id
      client-id: 200
      max-poll-records: 200
      auto-offset-reset: earliest # 最早未被消费的offset
    producer:
      batch-size: 1000 # 每次批量发送消息的数量
      retries: 3
      client-id: 200

3、生产者

package com.itennishy.ycweb.kafka;

import lombok.extern.slf4j.Slf4j;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.SendResult;
import org.springframework.stereotype.Component;
import org.springframework.util.concurrent.ListenableFuture;

import java.util.concurrent.ExecutionException;

@Slf4j
@Component
public class Producer {

    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;

    /**
     * 发送消息到kafka
     */
    public RecordMetadata sendChannelMess(String topic, String message) {
        ListenableFuture<SendResult<String, String>> future = kafkaTemplate.send(topic, message);
        RecordMetadata recordMetadata = null;
        try {
            recordMetadata = future.get().getRecordMetadata();
            log.debug("Kafka发送成功,partition:" + recordMetadata.partition() + ",offset:" + recordMetadata.offset() + ",topic:" + recordMetadata.topic());
        } catch (InterruptedException | ExecutionException e) {
            log.debug("Kafka发送失败", e);
        }
        return recordMetadata;
    }
}

4、消费者

package com.itennishy.ycweb.kafka;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.itennishy.ycweb.domain.Events;
import com.itennishy.ycweb.domain.LiveLevel;
import com.itennishy.ycweb.repository.EventsRepository;
import com.itennishy.ycweb.repository.LiveLevelRepository;
import lombok.extern.slf4j.Slf4j;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;

import java.sql.Timestamp;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.UUID;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

@Slf4j
@Component
public class Consumer {

    ExecutorService pool = Executors.newFixedThreadPool(100);

    /**
     * 有消息就读取,只读取消息value
     */
  //@KafkaListener(id = "id9", topicPartitions = {@TopicPartition(topic = "room-stat", partitions = {"9"})})
    @KafkaListener(topics = {"events-p3", "room-stat"})
    public void receiveMessage(String message) {
        pool.execute(() -> {
            try {
                log.info("Kafka收到一条消息:" + message + ",解析完成!");
            } catch (Exception e) {
                log.error("错误原因:" + e.getMessage() + ",错误类:" + e.getClass());
            }
        });
    }

    /**
     * 有消息就读取,批量读取消息value
     */
    @KafkaListener(topics = "events-p3")
    public void onMessage(List<String> crs) {
        for(String str : crs){
            System.out.println("events-p3:" + str);
        }
    }

  /**
   * 有消息就读取,读取消息topic,offset,key,value等信息
   */
    @KafkaListener(topics = "test14")
    public void listenT1(ConsumerRecord<?, ?> cr){
        System.out.println("listenT1收到消息,topic:>>>" + cr.topic() + "  offset:>>" + cr.offset()+ "  key:>>" + cr.key() + "  value:>>" + cr.value());
    }
}

5、Controller编写

package com.itennishy.ycweb.controller;

import com.itennishy.ycweb.kafka.Producer;
import com.itennishy.ycweb.utils.JsonData;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RestController;

@RestController
@RequestMapping("/kafka")
@Slf4j
public class KafkaController {

    @Autowired
    private Producer producer;

    @RequestMapping(value = "/send", method = RequestMethod.GET)
    public JsonData sendMessage(String topic, String msg) {
        try {
            producer.sendChannelMess(topic, msg);
            return JsonData.BuildSuccess();
        } catch (Exception e) {
            log.error("发送错误:", e);
            return JsonData.BuildError();
        }
    }
}

6、kafka配置类

package com.itennishy.ycweb.config;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.config.KafkaListenerContainerFactory;
import org.springframework.kafka.core.DefaultKafkaConsumerFactory;

import java.util.HashMap;
import java.util.Map;

@Configuration
public class KafkaConsumerConfigs {

    @Value("${spring.kafka.bootstrap-servers}")
    private String servers;

    @Value("${spring.kafka.consumer.group-id}")
    private String groupId;

    @Value("${spring.kafka.consumer.max-poll-records}")
    private int maxPoolRecords;


    @Bean
    KafkaListenerContainerFactory<?> batchFactory() {
        ConcurrentKafkaListenerContainerFactory<String, String> factory = new
                ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(new DefaultKafkaConsumerFactory<>(consumerConfigs()));
        factory.setBatchListener(true); // 开启批量监听
        return factory;
    }

    @Bean
    public Map<String, Object> consumerConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, servers);
        props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
        props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, maxPoolRecords); //设置每次接收Message的数量
        props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "100");
        props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 120000);
        props.put(ConsumerConfig.REQUEST_TIMEOUT_MS_CONFIG, 180000);
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        return props;
    }
}




@KafkaListener(topics = "events-p3",containerFactory = "batchFactory" )
### 创建 Spring Boot 工程 为了在 Spring Boot 中整合 Kafka,首先需要创建一个新的 Spring Boot 项目[^1]。 ```bash mvn archetype:generate \ -DgroupId=com.example \ -DartifactId=kafka-demo \ -DarchetypeArtifactId=maven-archetype-quickstart \ -DinteractiveMode=false ``` ### 添加依赖项 接下来,在 `pom.xml` 文件中添加必要的 Maven 依赖来引入 Spring Kafka 模块,这使得可以在 Spring Boot 应用程序里方便地操作 Kafka[^2]: ```xml <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> </dependency> ``` ### 配置 Kafka 连接参数 编辑应用程序配置文件 (`application.properties`) 来指定 Kafka 的服务器地址以及其他消费者设置。例如: ```properties spring.kafka.bootstrap-servers=localhost:9092 spring.kafka.consumer.group-id=my-group spring.kafka.consumer.auto-offset-reset=earliest ``` 这些属性定义了 Kafka broker 地址、消费组 ID 和偏移量重置策略等重要选项[^3]。 ### 编写生产者和消费者的 Java 类 #### 生产者类 下面是一个简单的 KafkaProducer 实现方式,用于发送消息到特定主题上: ```java import org.apache.kafka.clients.producer.KafkaProducer; // ...其他导入语句... @Service public class MyKafkaProducer { private final KafkaTemplate<String, String> kafkaTemplate; public MyKafkaProducer(KafkaTemplate<String, String> kafkaTemplate) { this.kafkaTemplate = kafkaTemplate; } @Async public void sendMessage(String topicName, String message){ ListenableFuture<SendResult<String, String>> future = kafkaTemplate.send(topicName,message); future.addCallback(new ListenableFutureCallback<>() { @Override public void onFailure(Throwable ex) { System.out.println("Failed to send message=[" + message + "] due to : " + ex.getMessage()); } @Override public void onSuccess(SendResult result) { System.out.println("Message=[" + message +"] sent successfully"); } }); } } ``` #### 消费者类 这里展示了一个基本的监听器方法,它会接收来自某个主题的消息并打印出来: ```java @Component public class MyKafkaConsumer { @KafkaListener(topics="my-topic", groupId="${spring.kafka.consumer.group-id}") public void listen(ConsumerRecord<?, ?> record) throws Exception{ System.out.printf("offset=%d, key=%s, value=%s%n", record.offset(), record.key() != null ? record.key().toString() : "", record.value() != null ? record.value().toString() : ""); } } ``` 上述代码片段展示了如何通过注解驱动的方式轻松处理传入的数据流[^4]。
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