Springboot 消息生产与消费基于Kafka

墨蓝 2024-04-06 10:43 71阅读 0赞

### Mac环境安装Kafka ###

Kafka依赖于zookeeper，以下方式安装Kafka后自带zk

`brew install kafka`

# Kafka启动方式
    To restart kafka after an upgrade:
      brew services restart kafka
    Or, if you don't want/need a background service you can just run:
      /usr/local/opt/kafka/bin/kafka-server-start /usr/local/etc/kafka//usr/local/etc/kafka/server.properties
    
    # Kafka安装目录
    ==> Summary
      /usr/local/Cellar/kafka/3.2.0: 200 files, 99.4MB
    
    # 配置文件路径
    /usr/local/etc/kafka/

kafka取消自动创建topic，编辑/usr/local/etc/kafka/server.properties， `auto.create.topics.enable=false`

### 启动zookeeper与kafka ###

启动zk `brew services start zookeeper` 默认端口2181，启动kafka `brew services start kafka` ，默认端口9092。如需要修改默认端口号可以在/usr/local/etc/kafka/中zookeeper.properties和server.properties中对应修改即可。

### 创建Topic ###

说明：在较新版本（2.2 及更高版本）的 Kafka 不再需要 ZooKeeper 连接字符串，即- -zookeeper localhost:2181。使用 Kafka Broker的 --bootstrap-server localhost:9092来替代- -zookeeper localhost:2181。

cd /usr/local/Cellar/kafka/3.2.0/bin
    # 创建topic
    ./kafka-topics --bootstrap-server localhost:9092 --create --topic domancy --partitions 2 --replication-factor 1
    ./kafka-topics --bootstrap-server localhost:9092 --create --topic order --partitions 2 --replication-factor 1
    
    # 查看topic
    ./kafka-topics --bootstrap-server localhost:9092 --describe --topic domancy
    
    # 删除topic
    ./kafka-topics --bootstrap-server localhost:9092 --delete --topic domancy

### 测试Kakfa ###

生产者

➜  /usr/local/Cellar/kafka/3.2.0/bin/kafka-console-producer --broker-list localhost:9092 --topic domancy
    >白日依山尽
    >黄河入海流
    >欲穷千里目
    >更上一层楼
    >

消费者

➜  bin kafka-console-consumer --bootstrap-server localhost:9092 --topic domancy --from-beginning
    白日依山尽
    黄河入海流
    欲穷千里目
    更上一层楼

### Springboot项目 ###

### pom文件 ###

<dependencies>
      
      <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-web</artifactId>
        <version>2.0.8.RELEASE</version>
      </dependency>
    
      <dependency>
        <groupId>org.projectlombok</groupId>
        <artifactId>lombok</artifactId>
      </dependency>
    
      
      <dependency>
        <groupId>cn.hutool</groupId>
        <artifactId>hutool-all</artifactId>
        <version>5.7.22</version>
      </dependency>
    
      <dependency>
        <groupId>com.alibaba</groupId>
        <artifactId>fastjson</artifactId>
        <version>1.2.76</version>
      </dependency>
    
      
      <dependency>
        <groupId>org.springframework.kafka</groupId>
        <artifactId>spring-kafka</artifactId>
      </dependency>
    </dependencies>

### resources ###

server:
      port: 8083
    
    spring:
      kafka:
        consumer:
          bootstrap-servers: localhost:9092
          group-id: test-consumer
          key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
          value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
    
      application:
        name: stream-bus

### 消息生产 ###

单条消息发送： [http://localhost:8083/send/manual/shirts][http_localhost_8083_send_manual_shirts]

自动批量发送消息： [http://localhost:8083/send/auto][http_localhost_8083_send_auto]

@RestController
    @RequestMapping(value = "send")
    public class SenderController {
     
        @Resource
        private KafkaTemplate<String, Object> kafkaTemplate;
    
        @GetMapping(value = "/manual/{msg}")
        public void send(@PathVariable("msg") String msg) {
     
            kafkaTemplate.send("domancy", msg);
        }
    
    
        /**
         * 多个消费者同时消费一条消息
         */
        @GetMapping("/auto")
        public void autoSendBatchMsg() {
     
            for (int i = 0; i <10; i++) {
     
                try {
     
                    Thread.sleep(3);
                } catch (InterruptedException e) {
     
                    e.printStackTrace();
                }
                Long orderId = new SnowflakeGenerator().next();
                //key值取hash值对分区数量取模
    
                final Order order = new Order();
                order.setOrderId(orderId.toString());
                order.setCreateTime(new Date());
                order.setPhone('1' + RandomUtil.randomNumbers(10));
    
                //final Integer partition = Math.abs(orderId.hashCode()) % 2;
                boolean randomBoolean = RandomUtil.randomBoolean();
                int partition = randomBoolean ? 1 : 0;
                System.out.println("kafka 发送消息" + orderId + "分区=====" + partition);
    
                kafkaTemplate.send("order", partition, orderId.toString(), JSON.toJSONString(order));
            }
        }
    }

### 消息消费 ###

*  指定topicPartitions消费消息
 *  指定group消费

@Service
    public class ConsumerService {
     
        @KafkaListener(id = "c_1", topicPartitions = {
     @TopicPartition(topic = "domancy", partitionOffsets = @PartitionOffset(partition = "0", initialOffset = "0"))})
        public void partition0(String msgData) {
     
            System.out.println("ConsumerService c_1 receive : " + msgData + ", partition: 0" );
        }
    
        @KafkaListener(id = "c2", topicPartitions = {
     @TopicPartition(topic = "domancy", partitionOffsets = @PartitionOffset(partition = "1", initialOffset = "0"))})
        public void partition1(String msgData) {
     
            System.out.println("ConsumerService c_2 receive : " + msgData + ", partition: 1" );
        }
    
        @KafkaListener(groupId="test-consumer", topics = {
     "order"})
        public void consumer1(ConsumerRecord<Integer, String> record) {
     
            System.out.println("分组：consumer-id-1 " + " 主题：" + record.topic() + "-" + record.partition() + "-" + record.value());
        }
    
        @KafkaListener(groupId="test-consumer", topics = {
     "order"})
        public void consumer2(ConsumerRecord<Integer, String> record) {
     
            System.out.println("分组：consumer-id-2 " + " 主题：" + record.topic() + "-" + record.partition() + "-" + record.value());
        }
    
    }

### 运行效果 ###

![140872e20cc0dd70ddfda4e0b98b96a3.png][]

![34507c80806134a314cfca244d34ea98.png][]

[http_localhost_8083_send_manual_shirts]: http://localhost:8083/send/manual/shirts
[http_localhost_8083_send_auto]: http://localhost:8083/send/auto10
[140872e20cc0dd70ddfda4e0b98b96a3.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/06/a79c1366098f435885c1a680a1c5b439.png
[34507c80806134a314cfca244d34ea98.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/06/7b2067718c4d4450964d38b59a271fe2.png