SpringBoot+Nacos+Kafka实现微服务流编排

docker pull nacos/nacos-server
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docker run --env MODE=standalone --name nacos -d -p 8848:8848 nacos/nacos-server
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<parent>
   <groupId>org.springframework.boot</groupId>
   <artifactId>spring-boot-starter-parent</artifactId>
   <version>2.1.0.RELEASE</version>
</parent>

<dependency>
   <groupId>org.springframework.kafka</groupId>
   <artifactId>spring-kafka</artifactId>
</dependency>

<dependency>
   <groupId>com.alibaba.boot</groupId>
   <artifactId>nacos-config-spring-boot-starter</artifactId>
   <version>0.2.1</version>
</dependency>
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spring:
  kafka:
    bootstrap-servers: kafka-server:9092
    producer:
      acks: all
    consumer:
      group-id: node1-group #三个服务分别为node1 node2 node3
      enable-auto-commit: false
# 部署的nacos服务
nacos:
  config:
    server-addr: nacos-server:8848
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@Configuration
@NacosPropertySource(dataId = "input", groupId = "node1-server", autoRefreshed = true)
// autoRefreshed=true指的是nacos中配置发生改变后会刷新，false代表只会使用服务启动时候读取到的值
@NacosPropertySource(dataId = "sink", groupId = "node1-server", autoRefreshed = true)
public class NacosConfig {

    @NacosValue(value = "${input:}", autoRefreshed = true)
    private String input;

    @NacosValue(value = "${sink:}", autoRefreshed = true)
    private String sink;

    public String getInput() {
        return input;
    }

    public String getSink() {
        return sink;
    }
}
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/**
 * 监听Nacos配置改变，创建消费者，更新消费
 */
@Component
public class ConsumerManager {

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

    @Value("${spring.kafka.consumer.enable-auto-commit}")
    private boolean enableAutoCommit;

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

    @Autowired
    private NacosConfig nacosConfig;

    @Autowired
    private KafkaTemplate kafkaTemplate;

    // 用于存放当前消费者使用的topic
    private String topic;

    // 用于执行消费者线程
    private ExecutorService executorService;

    /**
     * 监听input
     */
    @NacosConfigListener(dataId = "node1-server", groupId = "input")
    public void inputListener(String input) {
        // 这个监听触发的时候 实际NacosConfig中input的值已经是最新的值了 我们只是需要这个监听触发我们更新消费者的业务
        String inputTopic = nacosConfig.getInput();
        // 我使用nacosConfig中读取的原因是因为监听到内容是input=xxxx而不是xxxx,如果使用需要自己截取一下,nacosConfig中的内容框架会处理好，大家看一下第一张图的配置内容就明白了
        // 先检查当前局部变量topic是否有值,有值代表是更新消费者，没有值只需要创建即可
        if(topic != null) {
            // 停止旧的消费者线程
            executorService.shutdownNow();
            executorService == null;
        }
        // 根据为新的topic创建消费者
        topic = inputTopic;
        ThreadFactory threadFactory = new ThreadFactoryBuilder().setNameFormat(topic + "-pool-%d").build();
        executorService = new ThreadPoolExecutor(1, 1, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<Runnable>(2), threadFactory);
        // 执行消费业务
        executorService.execute(() -> consumer(topic));
    }

    /**
     * 创建消费者
     */
    public void consumer(String topic) {
        Properties properties = new Properties();
        properties.put("bootstrap.servers", servers);
        properties.put("enable.auto.commit", enableAutoCommit);
        properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("group.id", groupId);
        KafkaConsumer<String, String> consumer = new KafkaConsumer<>(properties);
        consumer.subscribe(Arrays.asList(topic));
        try {
            while (!Thread.currentThread().isInterrupted()) {
                Duration duration = Duration.ofSeconds(1L);
                ConsumerRecords<String, String> records = consumer.poll(duration);
                for (ConsumerRecord<String, String> record : records) {
                    String message = record.value();
                    // 执行数据处理业务 省略业务实现
                    String handleMessage =  handle(message);
                    // 处理完成后发送到下一个节点
                    kafkaTemplate.send(nacosConfig.getSink(), handleMessage);
                }
            }
            consumer.commitAsync();
        }
        } catch (Exception e) {
            LOGGER.error(e.getMessage(), e);
        } finally {
            try {
                consumer.commitSync();
            } finally {
                consumer.close();
            }
        }
    }
}
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