Docker Compose安装kafka和springboot整合kafka

1Docker Compose

1.1运行以下命令以下载Docker Compose的当前稳定版本：

sudo curl -L "https://github.com/docker/compose/releases/download/1.27.0/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose

1.2将可执行权限应用于二进制文件：

sudo chmod +x /usr/local/bin/docker-compose

1.3卸载

如果使用curl以下命令卸载Docker Compose ：

sudo rm /usr/local/bin/docker-compose

 2单机版kafka：

 2.1准备镜像文件：zookeeper和kafka

使用docker-compose管理容器

docker-compose-testkafka.yml

version: "3.3"
services:
  zookeeper:
      image: zookeeper:3.5.5
      restart: always
      container_name: zookeeper
      ports:
          - "2181:2181"
      expose:
          - "2181"
      environment:
          - ZOO_MY_ID=1
  kafka:
      image: wurstmeister/kafka
      restart: always
      container_name: kafka
      environment:
          - KAFKA_BROKER_ID=1
          - KAFKA_LISTENERS=PLAINTEXT://kafka:9090
          - KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181
          - KAFKA_MESSAGE_MAX_BYTES=2000000
      ports:
          - "9090:9090"
      depends_on:
          - zookeeper
  kafka-manager:  
    image: sheepkiller/kafka-manager                ## 镜像：开源的web管理kafka集群的界面
    environment:
        ZK_HOSTS: 192.168.228.128                   ## 修改:宿主机IP
    ports:  
      - "9001:9000"                                 ## 暴露端口
    

2.2添加docker自身ip为信任，不然kafka无法连接zookeeper

firewall-cmd  --zone=trusted --add-source=172.18.0.1/16 --permanent
firewall-cmd  --reload

2.3启动集群

docker-compose -f docker-compose.yml up -d

2.4查看启动日志：

docker logs -f zookeeper 　　

停止集群

docker-compose -f docker-compose*.yml stop

2.5 sheepkiller/kafka-manager 管理kafka集群

让我们查看一下，Zookeeper 中注册的 Broker 信息

docker exec -it zookeeper bash bin/zkCli.sh

退出--- [zk: localhost:2181(CONNECTED) 2] quit

2.6进入kafka容器，操作命令

docker exec -ti kafka bash
#cd opt/kafa_<版本>/bin
/opt/kafka_2.13-2.6.0/bin

//创建topic
kafka-topics.sh --create --zookeeper 192.168.228.128:2181 --replication-factor 1 --partitions 1 --topic topicTEST

//查看topic
kafka-topics.sh --list --zookeeper 192.168.228.128:2181

//创建生产者
kafka-console-producer.sh --broker-list 192.168.228.128:9090 --topic topicTEST

//创建消费者 
kafka-console-consumer.sh --bootstrap-server 192.168.228.128:9090 --topic topicTEST --from-beginning

2.7生产消息 消费消息

 

3 springboot整合kafka

3.1配置文件

spring:
  kafka:
    bootstrap-servers: 192.168.228.128:9090
    listener:
      concurrency: 10
      ack-mode: MANUAL_IMMEDIATE
      poll-timeout: 1500
    consumer:
      group-id: kafka_cluster1
      enable-auto-commit: false
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      properties: {session.timeout.ms: 6000, auto.offset.reset: earliest}
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
      batch-size: 65536
      buffer-memory: 524288

3.2生产者ProducerController 

public class ProducerController {
    @Autowired
    private KafkaTemplate<String,Object> kafkaTemplate;
    @RequestMapping(value="message/send" , method= RequestMethod.POST,produces = { "application/json" })
    public String send(@RequestBody String message) {
        System.out.println(message);
        kafkaTemplate.send("topicTEST", message); //使用kafka模板发送信息
        return "success";
    }
}

3.3消费者ConsumerDemo 

@Component
public class ConsumerDemo {
    @KafkaListener(topics = "topicTEST")
    public void listen (ConsumerRecord<?, ?> record){
        System.out.printf("topic is %s, offset is %d, value is %s 
", record.topic(), record.offset(), record.value());
    }
}

 3.4kafkaTemplate发送消息的3种方式

 public void testTemplateSend() {
        //1 发送带有时间戳的消息
        kafkaTemplate.send("topicTEST", 0, System.currentTimeMillis(), String.valueOf(0), "send message with timestamp");
        //2 使用ProducerRecord发送消息
        ProducerRecord record = new ProducerRecord("topicTEST", "use ProducerRecord to send message");
        kafkaTemplate.send(record);

        //3 使用Spring框架Message类发送消息
        Map map = new HashMap();
        map.put(KafkaHeaders.TOPIC, "topicTEST");
        map.put(KafkaHeaders.PARTITION_ID, 0);
        map.put(KafkaHeaders.MESSAGE_KEY, String.valueOf(0));
        GenericMessage message = new GenericMessage("use Message to send message",new MessageHeaders(map));
        kafkaTemplate.send(message);
    }