Docker部署Kafka以及Spring Kafka操作

从https://hub.docker.com/ 查找kafka

第三个活跃并stars数量多 进去看看使用

我们使用docker-compose来构建镜像

查看使用文档中的docker-compose.yml

因为kafka要搭配zookeeper一起使用，所以文档中包含了zookeeper

我修改了一下版本号 以及变量参数 

version: '3'
services:
  zookeeper:
    image: wurstmeister/zookeeper
    ports:
      - "2181:2181"
  kafka:
    image: wurstmeister/kafka
    depends_on: [ zookeeper ]
    ports:
      - "9092:9092"
    environment:
      KAFKA_BROKER_ID: 0
      KAFKA_ZOOKEEPER_CONNECT: 192.168.17.165:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://192.168.17.165:9092
      KAFKA_LISTENERS: PLAINTEXT://0.0.0.0:9092
    volumes:
      - /data/product/zj_bigdata/data/kafka/docker.sock:/var/run/docker.sock

KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://xxx.xxx.xxx.xxx：port （局域网宿主机的IP地址而非容器的IP，及暴露出来的端口）

   运行命令docker-compose up -d  ,就会开启2个容器 

进kafka容器使用官网的指南进行测验  http://kafka.apache.org/quickstart

docker exec -it   {容器id&name} /bin/bash

进入容器之后进入命令目录 cd /opt/kafka/bin/

  

第一步:新建topic

kafka-topics.sh --create --bootstrap-server 192.168.17.165:9092 --replication-factor 1 --partitions 1 --topic mytest    （localhost修改为自己的ip号）

第二步: 发送信息: kafka-console-producer.sh --broker-list 192.168.17.165:9092 --topic mytest

 第三步:另开启一个窗口消费信息: kafka-console-consumer.sh --bootstrap-server 192.168.17.165:9092 --topic mytest --from-beginning

 则表示已经搭建成功了.

开始搭建Spring Kafka

pom.xml依赖:

<dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
            <exclusions>
                <exclusion>
                    <groupId>org.junit.vintage</groupId>
                    <artifactId>junit-vintage-engine</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
    </dependencies>

 配置生产者Config:

/**
 * @author 思凡
 * @version 1.0
 * @date 2019/10/24 18:14
 * Kafka生产者配置
 */
@EnableKafka
@Configuration
public class KafkaProducerConfig {
    @Bean
    public ProducerFactory<String, String> producerFactory() {
        return new DefaultKafkaProducerFactory<>(producerConfigs());
    }
    @Bean
    public Map<String, Object> producerConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.17.165:9092");
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        // See https://kafka.apache.org/documentation/#producerconfigs for more properties
        return props;
    }
    @Bean
    public KafkaTemplate<String , String> kafkaTemplate() {
        return new KafkaTemplate<String, String>(producerFactory());
    }
}

配置消费者Config

/**
 * @author 思凡
 * @version 1.0
 * @date 2019/10/24 18:22
 * 消费者配置
 */
@EnableKafka
@Configuration
public class KafkaConsumerConfig {
    @Bean
    KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>>
    kafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<String, String> factory =
                new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setConcurrency(3);
        factory.getContainerProperties().setPollTimeout(3000);
        return factory;
    }

    @Bean
    public ConsumerFactory<String, String> consumerFactory() {
        return new DefaultKafkaConsumerFactory<>(consumerConfigs());
    }

    @Bean
    public Map<String, Object> consumerConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "192.168.17.165:9092");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        return props;
    }
}

 相关配置来自spring官网kafka文档:   https://docs.spring.io/spring-kafka/docs/2.3.1.RELEASE/reference/html/

创建Controller请求后发送信息:

/**
 * @author 思凡
 * @version 1.0
 * @date 2019/10/23 21:48
 */
@RestController
@Slf4j
public class KafkaTestController {
    @Autowired
    private  KafkaTemplate<String, String> kafkaTemplate;

    @GetMapping("/test")
    public String test(){
        log.info("-------------发送信息----------------");
        kafkaTemplate.send("mytest","hello kafka");
        return null;
    }
}

　　

配置监听:  

使用@KafkaListener注解 ，文档都有相关说明,就不一一解释

/**
 * @author 思凡
 * @version 1.0
 * @date 2019/10/24 13:13
 */
@EnableKafka
@Configuration
@Slf4j
public class KafkaListenerConfig {
    @KafkaListener(topics = {"mytest"},groupId = "mytest")
    public void lisen(String message){
        log.info("-------------消费信息----------------");
        log.info(message);
    }
}

run项目，随后请求url 查看日志:

 就配置成功了.