1.添加依賴

首先，將必要的依賴項新增至您的 pom.xml 檔案：

org.apache.rocketmqrocketmq-spring-boot-starter2.3.1org.apache.rocketmqrocketmq-clientorg.apache.rocketmqrocketmq-client5.3.0

2.設定檔bootstrap.yaml

在 bootstrap.yaml 檔案中配置您的 RocketMQ 設定：

rocketmq:
  name-server: 192.168.1.1:9876;192.168.1.2:9876;192.168.1.3:9876 # Replace with actual NameServer addresses
  consumer:
    group: consume-group-test
    access-key: access # Configure if ACL is used
    secret-key: secret
    consume-message-batch-max-size: 50  # Max messages per batch
    pull-batch-size: 100  # Max messages pulled from Broker
  topics:
    project: "group-topic-1"
  groups:
    project: "consume-group-1"  # Use different groups for different business processes

3.配置類別MqConfigProperties

建立設定類別MqConfigProperties：

import org.apache.rocketmq.spring.autoconfigure.RocketMQProperties;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.stereotype.Component;
import lombok.Data;

import java.io.Serializable;

/**
 * RocketMQ Configuration Class
 */
@Data
@Component
@ConfigurationProperties(prefix = "rocketmq")
public class MqConfigProperties implements Serializable {

    private static final long serialVersionUID = 1L;

    @Autowired
    private RocketMQProperties rocketMQProperties;

    private TopicProperties topics;
    private GroupProperties groups;

    /**
     * Topic Configuration Class
     */
    @Data
    public static class TopicProperties implements Serializable {
        private static final long serialVersionUID = 1L;
        private String project;
    }

    /**
     * Consumer Group Configuration Class
     */
    @Data
    public static class GroupProperties implements Serializable {
        private static final long serialVersionUID = 1L;
        private String project;
    }
}

4. 實施消費者守則

建立消費者類別UserConsumer：

import com.alibaba.fastjson2.JSONObject;
import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer;
import org.apache.rocketmq.client.consumer.listener.ConsumeConcurrentlyContext;
import org.apache.rocketmq.client.consumer.listener.ConsumeConcurrentlyStatus;
import org.apache.rocketmq.client.consumer.listener.MessageListenerConcurrently;
import org.apache.rocketmq.client.consumer.rebalance.AllocateMessageQueueAveragely;
import org.apache.rocketmq.common.consumer.ConsumeFromWhere;
import org.apache.rocketmq.common.message.MessageExt;
import org.apache.rocketmq.remoting.RPCHook;
import org.apache.rocketmq.spring.support.RocketMQUtil;
import org.springframework.context.ApplicationContext;
import org.springframework.context.SmartLifecycle;
import org.springframework.stereotype.Component;
import lombok.extern.slf4j.Slf4j;

import javax.annotation.Resource;
import java.util.List;

/**
 * Batch Consumer Implementation
 */
@Component
@Slf4j
public class UserConsumer implements SmartLifecycle {

    @Resource
    private MqConfigProperties mqConfigProperties;

    @Resource
    private ApplicationContext applicationContext;

    private volatile boolean running;
    private DefaultMQPushConsumer consumer;

    @Override
    public void start() {
        if (isRunning()) {
            throw new IllegalStateException("Consumer is already running");
        }
        initConsumer();
        setRunning(true);
        log.info("UserConsumer started successfully.");
    }

    @Override
    public void stop() {
        if (isRunning() && consumer != null) {
            consumer.shutdown();
            setRunning(false);
            log.info("UserConsumer stopped.");
        }
    }

    @Override
    public boolean isRunning() {
        return running;
    }

    private void setRunning(boolean running) {
        this.running = running;
    }

    private void initConsumer() {
        String topic = mqConfigProperties.getTopics().getProject();
        String group = mqConfigProperties.getGroups().getProject();
        String nameServer = mqConfigProperties.getRocketMQProperties().getNameServer();
        String accessKey = mqConfigProperties.getRocketMQProperties().getConsumer().getAccessKey();
        String secretKey = mqConfigProperties.getRocketMQProperties().getConsumer().getSecretKey();

        RPCHook rpcHook = RocketMQUtil.getRPCHookByAkSk(applicationContext.getEnvironment(), accessKey, secretKey);
        consumer = rpcHook != null
                ? new DefaultMQPushConsumer(group, rpcHook, new AllocateMessageQueueAveragely())
                : new DefaultMQPushConsumer(group);

        consumer.setNamesrvAddr(nameServer);
        consumer.setConsumeFromWhere(ConsumeFromWhere.CONSUME_FROM_LAST_OFFSET);
        consumer.setConsumeMessageBatchMaxSize(100);  // Set the batch size for consumption
        consumer.subscribe(topic, "*");
        consumer.setMessageListener(new MessageListenerConcurrently() {
            @Override
            public ConsumeConcurrentlyStatus consumeMessage(List msgs, ConsumeConcurrentlyContext context) {
                log.info("Received {} messages", msgs.size());
                for (MessageExt message : msgs) {
                    String body = new String(message.getBody());
                    log.info("Processing message: {}", body);
                    User user = JSONObject.parseObject(body, User.class);
                    processUser(user);
                }
                return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
            }
        });

        consumer.start();
        log.info("UserConsumer initialized with topic [{}] and group [{}].", topic, group);
    }

    private void processUser(User user) {
        log.info("Processing user with ID: {}", user.getId());
        // Handle user-related business logic
    }
}

5. 生產者範例程式碼

要產生批次訊息，您可以使用以下 UserProducer 類別：

import org.apache.rocketmq.client.producer.DefaultMQProducer;
import org.apache.rocketmq.common.message.Message;
import java.util.ArrayList;
import java.util.List;

public class UserProducer {

    private DefaultMQProducer producer;

    public void sendBatchMessages(List users, String topic) {
        List messages = new ArrayList();
        for (User user : users) {
            messages.add(new Message(topic, JSONObject.toJSONString(user).getBytes()));
        }
        try {
            producer.send(messages);
        } catch (Exception e) {
            log.error("Error sending batch messages", e);
        }
    }
}

6. 額外的優化建議

• 效能最佳化：可以調整消費者執行緒池的大小。預設情況下，它設定為consumeThreadMin = 20和consumeThreadMax = 20。高並發場景下，增大執行緒池大小可以提升效能。

• 錯誤處理：消費失敗時，謹慎使用RECONSUME_LATER，避免無限重試循環。根據您的業務需求設定最大重試次數。

• 租戶隔離：不同的業務模組使用不同的群組，避免消費錯誤群組的資料。這在生產環境中尤其重要。