RocketMQ简单使用(二)批处理、过滤、事务消息

简单研究下rockermq 批量消息、过滤消息、事务消息的使用。

1. 批量消息

简介

批量消息的发送能提升投递小消息的性能。但是批量消息有一些限制，一批投递的消息应该有相同的主题、具有相同的刷盘策略、不支持延时消息与事务型消息。

另外，生产者发送消息的大小有一些限制。默认不超过1MB 的消息。如果超出可以将批量消息进行拆分。或者通过修改配置。

生产者发送的消息结构如下：

生产者发送的消息并不是将消息直接序列化后发送到网络上的，而是通过Message 对象生成了一个字符串发送出去的。这个字符串包含：Topic、消息body、消息日志(20字节)、以及用于描述消息属性的key-value 结构，这些属性包括生产者地址、生产时间、以及要发送的queueId 等。最终写入到broker 中消息单元中的数据都来自于这些属性。

批量消费消息

org.apache.rocketmq.client.consumer.listener.MessageListenerConcurrently#consumeMessage 方法的第一个参数为消息列表，但是默认情况下每次只能消费一条。其规则简单理解是：一次性拉取 pullBatchSize(默认32) 参数指定的消息数量，然后按照consumeMessageBatchMaxSize (默认为1)指定的大小分发到多个消费线程。

代码

(1)生产者代码

package com.zd.bx.rocketmq.batch;

import org.apache.rocketmq.client.producer.DefaultMQProducer;
import org.apache.rocketmq.client.producer.SendResult;
import org.apache.rocketmq.common.message.Message;

import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.Map;

public class Producer2 {

    public static void main(String[] args) throws Exception {
        DefaultMQProducer producer = new DefaultMQProducer("batchProducer");
        producer.setNamesrvAddr("192.168.13.111:9876");
        producer.start();

        // 构造消息
        String topic = "batchTest";
        List<Message> messages = new ArrayList<>();
        for (int index = 0; index < 100000; index++) {
            messages.add(new Message(topic, "TagA", "OrderI" + index, ("Hello world " + index).getBytes()));
        }

//        redirectSend(producer, messages);

        // 批量发送
        ListSplitter splitter = new ListSplitter(messages);
        int sendNum = 0;
        while (splitter.hasNext()) {
            System.out.println("sendNum: " + (++sendNum));
            try {
                List<Message> listItem = splitter.next();
                producer.send(listItem);
            } catch (Exception e) {
                e.printStackTrace();
            }
        }

        producer.shutdown();
    }

    private static void redirectSend(DefaultMQProducer producer, List<Message> messages) {
        try {
            // 直接发送会报错： org.apache.rocketmq.client.exception.MQClientException: CODE: 13  DESC: the message body size over max value, MAX: 4194304
            SendResult send = producer.send(messages);
            System.out.println(send);
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

class ListSplitter implements Iterator<List<Message>> {

    private final int SIZE_LIMIT = 1 * 1024 * 1024;

    private final List<Message> messages;

    private int currIndex;

    public ListSplitter(List<Message> messages) {
        this.messages = messages;
    }

    @Override
    public boolean hasNext() {
        return currIndex < messages.size();
    }

    @Override
    public List<Message> next() {
        int nextIndex = currIndex;
        int totalSize = 0;
        for (; nextIndex < messages.size(); nextIndex++) {
            Message message = messages.get(nextIndex);
            int tmpSize = message.getTopic().length() + message.getBody().length;
            Map<String, String> properties = message.getProperties();
            for (Map.Entry<String, String> entry : properties.entrySet()) {
                tmpSize += entry.getKey().length() + entry.getValue().length();
            }
            tmpSize = tmpSize + 20; //for log overhead
            if (tmpSize > SIZE_LIMIT) {
                //it is unexpected that single message exceeds the SIZE_LIMIT
                //here just let it go, otherwise it will block the splitting process
                if (nextIndex - currIndex == 0) {
                    //if the next sublist has no element, add this one and then break, otherwise just break
                    nextIndex++;
                }
                break;
            }
            if (tmpSize + totalSize > SIZE_LIMIT) {
                break;
            } else {
                totalSize += tmpSize;
            }
        }
        List<Message> subList = messages.subList(currIndex, nextIndex);
        currIndex = nextIndex;
        return subList;
    }
}

(2)批量消费者

package com.zd.bx.rocketmq.batch;

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.exception.MQClientException;
import org.apache.rocketmq.common.message.MessageExt;

import java.util.List;

public class PushConsumer {

    public static void main(String[] args) throws InterruptedException, MQClientException {
        // 定义一个push消费者
        DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("myTestConsumerGroup");
        // 指定nameserver
        consumer.setNamesrvAddr("192.168.13.111:9876");
        // 指定消费的topic与tag
        consumer.subscribe("batchTest", "*");
        // 指定使用 广播模式进行消费，默认为集群模式
//        consumer.setMessageModel(MessageModel.BROADCASTING);
        // 修改一次拉取的最大值(默认32)，可以理解为一次拉取回来之后然后按下面的参数consumeMessageBatchMaxSize，分发到多个线程组中进行消费
        consumer.setPullBatchSize(60);
        // 指定每次可以消费100条消息(可以理解是下面监听器中集合的大小)，默认为1，值范围是[1, 1024]
        consumer.setConsumeMessageBatchMaxSize(3);
        consumer.registerMessageListener(new MessageListenerConcurrently() {
            @Override
            public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs,
                                                            ConsumeConcurrentlyContext context) {
                System.out.println(Thread.currentThread().getName() + " msgs.size(): " + msgs.size());
                for (MessageExt msg : msgs) {
                    System.out.printf(Thread.currentThread().getName() + " %s Receive New Messages: %s body: %s %n", Thread.currentThread().getName(), msgs, new String(msg.getBody()));
                }
                return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
            }
        });

        consumer.start();
        System.out.printf("Consumer Started.%n");
    }
}

2. 过滤消息

在接收消息的时候除了可以指定消息的Topic外，还可以对指定Topic的消息进行过滤。可以根据Tag 进行过滤，也可以根据sql 过滤。sql过滤是对消息中属性进行筛选过滤，只有push模式的消费者才能使用sql过滤。

sql过滤表达式中支持多种常量类型与运算符。支持的常量类型：

数值:比如1,2,3
字符:必须用单引号包裹，比如'abc'
布尔:TRUE或者FALSE

支持的运算符有:

数值比较:>,<,>=,<=,BETWEEN,=
字符比较:=,<>,IN
逻辑比较:AND，OR，NOT
NULL判断: IS NULL 或者 IS NOT NULL

默认情况下Broker没有开启sql过滤功能，需要在Broker加载的配置文件中添加如下属性：(单机在broker.conf 文件中)

enablePropertyFilter=true

测试代码：

(1)生产者：自定义属性

package com.zd.bx.rocketmq.filter;


import org.apache.rocketmq.client.exception.MQBrokerException;
import org.apache.rocketmq.client.exception.MQClientException;
import org.apache.rocketmq.client.producer.DefaultMQProducer;
import org.apache.rocketmq.common.message.Message;
import org.apache.rocketmq.remoting.exception.RemotingException;

public class Producer {

    public static void main(String[] args) throws MQClientException, MQBrokerException, RemotingException, InterruptedException {
        DefaultMQProducer producer = new DefaultMQProducer("batchProducer");
        producer.setNamesrvAddr("192.168.13.111:9876");
        producer.start();

        String[] tags = new String[]{"TagA", "TagB", "TagC"};
        String[] sexs = new String[]{"男", "女"};
        // 构造消息
        String topic = "filterTopic";
        for (int index = 0; index < 20; index++) {
            byte[] body = ("Hi, " + index).getBytes();
            String tag = tags[index % tags.length];
            Message message = new Message(topic, tag, body);
            // 存一个自定义属性age, 一个自定义属性sex
            message.putUserProperty("age", index + "");
            message.putUserProperty("sex", sexs[index % sexs.length]);
            System.out.println(producer.send(message));
        }

        producer.shutdown();
    }
}

(2)消费者

消费者一：按标签进行过滤

package com.zd.bx.rocketmq.filter;

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.exception.MQClientException;
import org.apache.rocketmq.common.message.MessageExt;

import java.util.List;

public class Consumer1 {

    public static void main(String[] args) throws MQClientException {
        // 定义一个push消费者
        DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("myTestConsumerGroup");
        // 指定从第一条消息开始消费
        // 指定nameserver
        consumer.setNamesrvAddr("192.168.13.111:9876");
        // 指定消费的topic与tag. "TagA || TagB" 等价于 MessageSelector.byTag("TagA || TagB")
        consumer.subscribe("filterTopic", "TagA || TagB");
        consumer.registerMessageListener(new MessageListenerConcurrently() {
            @Override
            public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs,
                                                            ConsumeConcurrentlyContext context) {
                for (MessageExt msg : msgs) {
                    System.out.printf("%s Receive Messages: %s, property: %s %n", Thread.currentThread().getName(), new String(msg.getBody()), msg.getProperties());
                }
                return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
            }
        });

        consumer.start();
        System.out.printf("Consumer Started.%n");
    }
}

消费者二：按sql条件进行过滤(接收age大于并且sex为男的)

package com.zd.bx.rocketmq.filter;

import org.apache.rocketmq.client.consumer.DefaultMQPushConsumer;
import org.apache.rocketmq.client.consumer.MessageSelector;
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.exception.MQClientException;
import org.apache.rocketmq.common.message.MessageExt;

import java.util.List;

public class Consumer2 {

    public static void main(String[] args) throws MQClientException {
        // 定义一个push消费者
        DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("myTestConsumerGroup");
        // 指定nameserver
        consumer.setNamesrvAddr("192.168.13.111:9876");
        // 指定消费的topic与tag
        consumer.subscribe("filterTopic", MessageSelector.bySql("age > 5 and sex = '男'"));
        consumer.registerMessageListener(new MessageListenerConcurrently() {
            @Override
            public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs,
                                                            ConsumeConcurrentlyContext context) {
                for (MessageExt msg : msgs) {
                    System.out.printf("%s Receive New Messages: %s, property: %s %n", Thread.currentThread().getName(),  new String(msg.getBody()), msg.getProperties());
                }
                return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
            }
        });

        consumer.start();
        System.out.printf("Consumer Started.%n");
    }
}

3. 事务消息

事务型消息可以确保执行本地事务和发送消息保证原子性。这里需要注意是执行本地事务和发送消息是在一个事务里面。

举一个场景：工行用户A向建行用户B转账一万元。同步消息处理该需求的场景：

这里有个问题：若第三步骤的扣款失败，消息已经到达Broker。对于MQ来说，只要消息写入MQ就可以被消费。此时建行系统增加了1万元。此时就出现了数据不一致的问题。

解决思路：

使用MQ的事务消息。让1、2、3具有原子性，这里就是用到事务消息。但是对于4、5操作，是不在该事务中的，也就是事务消息只能保证本地事务和发送消息在是一致的。解决示意图如下：

解释：第3步发送的消息是半事务消息(预提交到Broker)，消费者是不能消费该消息的；第6步发送扣款执行结果，实际是向TC汇报本地事务的执行状态(LocalTransactionState里面的状态)。

事务消息的使用限制：

(1)不支持定时和批处理消息

(2)事务消息要做好幂等性检查，因为事务消息可能不止一次被消费(存在回滚后再提交的情况)

基本概念

(1) 分布式事务：可以理解为多个本地事务的集合体，多个事务直接构成一个大的分布式事务。要么全失败，要么全成功。

(2)事务消息:RocketMQ提供了类似于X/OpenXA的分布式事务功能，通过事务消息能达到分布式事务的最终一致性。XA是一种分布式事务解决方案，一种分布式事务处理模式。

(3)半事务消息：暂不能投递的消息，发送方已经成功地将消息发送到了Broker，但是Broker未收到最终确认指令，该消息被标记成"暂不能投递"状态，即不能为消费者看到。出于该状态下的消息成为半事务消息。

(4)本地事务状态：Producer回调执行的结果为本地事务状态，其会发给TC(事务控制器)，而TC再发给TM(事务管理器)。TM根据TC送来的本地事务状态来决定全局事务确认指令。

package org.apache.rocketmq.client.producer;

public enum LocalTransactionState {
    COMMIT_MESSAGE,    // 提交事务，表示允许消费者消费该消息
    ROLLBACK_MESSAGE,    // 消息回滚，类似于预提交的消息撤回
    UNKNOW,    // 未知，执行回调
}

(5)消息回查：重新查询本地事务的执行状态。关于消息回查的设置：

transactionTimeout=20, 指定TM应该在20s内将消息发送给TC，否则引发消息回查。默认60s。

transactionCheckMax=5,指定最多回查次数，超过后将丢弃消息并且记录日志。默认15次。

transactionCheckInterval=10，指定设置的多次的消息回查的时间间隔为10s。默认为60s。

测试代码

(1)监听器

package com.zd.bx.rocketmq.tx;

import org.apache.commons.lang3.StringUtils;
import org.apache.rocketmq.client.producer.LocalTransactionState;
import org.apache.rocketmq.client.producer.TransactionListener;
import org.apache.rocketmq.common.message.Message;
import org.apache.rocketmq.common.message.MessageExt;

public class Listener implements TransactionListener {

    // 回调操作方法
    // 消息预提交成功就会触发该方法的执行，用于完成本地事务
    @Override
    public LocalTransactionState executeLocalTransaction(Message msg, Object arg) {
        System.out.println("预提交消息成功：" + msg);
        // 假设接收到TagA的消息就表示扣款操作成功，TagB的消息表示扣款失败，
        // TagC表示扣款结果不清楚，需要执行消息回查
        if (StringUtils.equals("TagA", msg.getTags())) {
            return LocalTransactionState.COMMIT_MESSAGE;
        } else if (StringUtils.equals("TagB", msg.getTags())) {
            return LocalTransactionState.ROLLBACK_MESSAGE;
        } else if (StringUtils.equals("TagC", msg.getTags())) {
            return LocalTransactionState.UNKNOW;
        }
        return LocalTransactionState.UNKNOW;
    }

    // 消息回查方法
    // 引发消息回查的原因最常见的有两个：
    // 1)回调操作返回UNKNWON
    // 2)TC没有接收到TM的最终全局事务确认指令
    @Override
    public LocalTransactionState checkLocalTransaction(MessageExt msg) {
        System.out.println("执行消息回查: body" + new String(msg.getBody()) + " tag: " + msg.getTags() + " txId: " + msg.getTransactionId());
        return LocalTransactionState.COMMIT_MESSAGE;
    }
}

(2)生产者

package com.zd.bx.rocketmq.tx;

import org.apache.rocketmq.client.exception.MQClientException;
import org.apache.rocketmq.client.producer.SendResult;
import org.apache.rocketmq.client.producer.TransactionMQProducer;
import org.apache.rocketmq.common.message.Message;
import org.apache.rocketmq.remoting.common.RemotingHelper;

import java.io.UnsupportedEncodingException;
import java.util.concurrent.*;

public class Producer {

    public static void main(String[] args) throws InterruptedException, MQClientException {
        TransactionMQProducer producer = new TransactionMQProducer("transactionProducerGroup");
        producer.setNamesrvAddr("192.168.13.111:9876");
        ExecutorService executorService = new ThreadPoolExecutor(2, 5, 100, TimeUnit.SECONDS, new ArrayBlockingQueue<Runnable>(2000), new ThreadFactory() {
            @Override
            public Thread newThread(Runnable r) {
                Thread thread = new Thread(r);
                thread.setName("client-transaction-msg-check-thread");
                return thread;
            }
        });
        // 为生产者指定线程池和监听器
        producer.setExecutorService(executorService);
        producer.setTransactionListener(new Listener());
        producer.start();

        String[] tags = new String[]{"TagA", "TagB", "TagC"};
        for (int i = 0; i < 10; i++) {
            try {
                Message msg = new Message("txTopic", tags[i % tags.length], "KEY" + i,
                        ("Hello RocketMQ " + i).getBytes(RemotingHelper.DEFAULT_CHARSET));
                SendResult sendResult = producer.sendMessageInTransaction(msg, null);
                System.out.printf("%s%n", sendResult);

                Thread.sleep(10);
            } catch (MQClientException | UnsupportedEncodingException e) {
                e.printStackTrace();
            }
        }

        for (int i = 0; i < 100000; i++) {
            Thread.sleep(1000);
        }
        producer.shutdown();
    }
}

日志如下:

预提交消息成功：Message{topic='txTopic', flag=0, properties={KEYS=KEY0, TRAN_MSG=true, UNIQ_KEY=7F0000015BC818B4AAC2793C9CF80000, WAIT=true, PGROUP=transactionProducerGroup, TAGS=TagA}, body=[72, 101, 108, 108, 111, 32, 82, 111, 99, 107, 101, 116, 77, 81, 32, 48], transactionId='7F0000015BC818B4AAC2793C9CF80000'}
SendResult [sendStatus=SEND_OK, msgId=7F0000015BC818B4AAC2793C9CF80000, offsetMsgId=null, messageQueue=MessageQueue [topic=txTopic, brokerName=broker-a, queueId=2], queueOffset=40]
预提交消息成功：Message{topic='txTopic', flag=0, properties={KEYS=KEY1, TRAN_MSG=true, UNIQ_KEY=7F0000015BC818B4AAC2793C9D170001, WAIT=true, PGROUP=transactionProducerGroup, TAGS=TagB}, body=[72, 101, 108, 108, 111, 32, 82, 111, 99, 107, 101, 116, 77, 81, 32, 49], transactionId='7F0000015BC818B4AAC2793C9D170001'}
SendResult [sendStatus=SEND_OK, msgId=7F0000015BC818B4AAC2793C9D170001, offsetMsgId=null, messageQueue=MessageQueue [topic=txTopic, brokerName=broker-a, queueId=3], queueOffset=41]
预提交消息成功：Message{topic='txTopic', flag=0, properties={KEYS=KEY2, TRAN_MSG=true, UNIQ_KEY=7F0000015BC818B4AAC2793C9D280002, WAIT=true, PGROUP=transactionProducerGroup, TAGS=TagC}, body=[72, 101, 108, 108, 111, 32, 82, 111, 99, 107, 101, 116, 77, 81, 32, 50], transactionId='7F0000015BC818B4AAC2793C9D280002'}
SendResult [sendStatus=SEND_OK, msgId=7F0000015BC818B4AAC2793C9D280002, offsetMsgId=null, messageQueue=MessageQueue [topic=txTopic, brokerName=broker-a, queueId=0], queueOffset=42]
预提交消息成功：Message{topic='txTopic', flag=0, properties={KEYS=KEY3, TRAN_MSG=true, UNIQ_KEY=7F0000015BC818B4AAC2793C9D3D0003, WAIT=true, PGROUP=transactionProducerGroup, TAGS=TagA}, body=[72, 101, 108, 108, 111, 32, 82, 111, 99, 107, 101, 116, 77, 81, 32, 51], transactionId='7F0000015BC818B4AAC2793C9D3D0003'}
SendResult [sendStatus=SEND_OK, msgId=7F0000015BC818B4AAC2793C9D3D0003, offsetMsgId=null, messageQueue=MessageQueue [topic=txTopic, brokerName=broker-a, queueId=1], queueOffset=43]
预提交消息成功：Message{topic='txTopic', flag=0, properties={KEYS=KEY4, TRAN_MSG=true, UNIQ_KEY=7F0000015BC818B4AAC2793C9D510004, WAIT=true, PGROUP=transactionProducerGroup, TAGS=TagB}, body=[72, 101, 108, 108, 111, 32, 82, 111, 99, 107, 101, 116, 77, 81, 32, 52], transactionId='7F0000015BC818B4AAC2793C9D510004'}
SendResult [sendStatus=SEND_OK, msgId=7F0000015BC818B4AAC2793C9D510004, offsetMsgId=null, messageQueue=MessageQueue [topic=txTopic, brokerName=broker-a, queueId=2], queueOffset=44]
预提交消息成功：Message{topic='txTopic', flag=0, properties={KEYS=KEY5, TRAN_MSG=true, UNIQ_KEY=7F0000015BC818B4AAC2793C9D650005, WAIT=true, PGROUP=transactionProducerGroup, TAGS=TagC}, body=[72, 101, 108, 108, 111, 32, 82, 111, 99, 107, 101, 116, 77, 81, 32, 53], transactionId='7F0000015BC818B4AAC2793C9D650005'}
SendResult [sendStatus=SEND_OK, msgId=7F0000015BC818B4AAC2793C9D650005, offsetMsgId=null, messageQueue=MessageQueue [topic=txTopic, brokerName=broker-a, queueId=3], queueOffset=45]
执行消息回查: bodyHello RocketMQ 2 tag: TagC txId: 7F0000015BC818B4AAC2793C9D280002
执行消息回查: bodyHello RocketMQ 5 tag: TagC txId: 7F0000015BC818B4AAC2793C9D650005

(3)消费者

package com.zd.bx.rocketmq.tx;

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.exception.MQClientException;
import org.apache.rocketmq.common.message.MessageExt;

import java.util.List;

public class Consumer {

    public static void main(String[] args) throws MQClientException {
        // 定义一个push消费者
        DefaultMQPushConsumer consumer = new DefaultMQPushConsumer("myTestConsumerGroup");
        // 指定nameserver
        consumer.setNamesrvAddr("192.168.13.111:9876");
        consumer.subscribe("txTopic", "*");
        consumer.registerMessageListener(new MessageListenerConcurrently() {
            @Override
            public ConsumeConcurrentlyStatus consumeMessage(List<MessageExt> msgs,
                                                            ConsumeConcurrentlyContext context) {
                for (MessageExt msg : msgs) {
                    System.out.printf("%s Receive Messages: %s, property: %s %n", Thread.currentThread().getName(), new String(msg.getBody()), msg.getProperties());
                }
                return ConsumeConcurrentlyStatus.CONSUME_SUCCESS;
            }
        });

        consumer.start();
        System.out.printf("Consumer Started.%n");
    }
}

日志如下：

ConsumeMessageThread_myTestConsumerGroup_5 Receive Messages: Hello RocketMQ 0, property: {MIN_OFFSET=0, REAL_TOPIC=txTopic, MAX_OFFSET=4, KEYS=KEY0, TRAN_MSG=true, CONSUME_START_TIME=1648098015500, UNIQ_KEY=7F0000015BC818B4AAC2793C9CF80000, CLUSTER=DefaultCluster, PGROUP=transactionProducerGroup, WAIT=true, TAGS=TagA, REAL_QID=2} 
ConsumeMessageThread_myTestConsumerGroup_6 Receive Messages: Hello RocketMQ 3, property: {MIN_OFFSET=0, REAL_TOPIC=txTopic, MAX_OFFSET=3, KEYS=KEY3, TRAN_MSG=true, CONSUME_START_TIME=1648098015559, UNIQ_KEY=7F0000015BC818B4AAC2793C9D3D0003, CLUSTER=DefaultCluster, PGROUP=transactionProducerGroup, WAIT=true, TAGS=TagA, REAL_QID=1} 
ConsumeMessageThread_myTestConsumerGroup_7 Receive Messages: Hello RocketMQ 5, property: {TRANSACTION_CHECK_TIMES=1, TRAN_MSG=true, CONSUME_START_TIME=1648098030724, MIN_OFFSET=0, REAL_TOPIC=txTopic, MAX_OFFSET=4, KEYS=KEY5, UNIQ_KEY=7F0000015BC818B4AAC2793C9D650005, CLUSTER=DefaultCluster, PGROUP=transactionProducerGroup, WAIT=true, TAGS=TagC, REAL_QID=3} 
ConsumeMessageThread_myTestConsumerGroup_8 Receive Messages: Hello RocketMQ 2, property: {TRANSACTION_CHECK_TIMES=1, TRAN_MSG=true, CONSUME_START_TIME=1648098030733, MIN_OFFSET=0, REAL_TOPIC=txTopic, MAX_OFFSET=4, KEYS=KEY2, UNIQ_KEY=7F0000015BC818B4AAC2793C9D280002, CLUSTER=DefaultCluster, PGROUP=transactionProducerGroup, WAIT=true, TAGS=TagC, REAL_QID=0}

posted @ 2022-03-24 22:43 QiaoZhi 阅读(808) 评论(0) 编辑收藏举报

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