前言:
如今小伙伴们对“php延迟队列订单超时”大概比较注意,朋友们都需要知道一些“php延迟队列订单超时”的相关知识。那么小编也在网上汇集了一些有关“php延迟队列订单超时””的相关文章,希望姐妹们能喜欢,各位老铁们快快来学习一下吧!在工作中发现,有些时候消息因为某些原因在消费一次后,如果消息失败,这时候不ack,消息就回一直重回队列首部,造成消息拥堵。
一:消息重试机制
如是有了如下思路:
消息进入队列前,header默认有参数 retry_num=0 表示尝试次数;
消费者在消费时候的,如果消息失败,就把消息插入另外一个队列(队列abc);该队列abc 绑定一个死信队列(原始消费的队列),这样形成一个回路;
当消息失败后,消息就进入队列abc,队列abc拥有ttl过期时间,ttl过期时间到了后,该消息进入死信队列(死信队列刚好是刚开始我们消费的队列);
这样消息就又回到原始消费队列尾部了;
最后可以通过队列消息头部的header参数retry_num 可以控制消息消费多少次后,直接插入db日志;
db日志可以记录交换机 路由,queuename,这样,可以做一个后台管理,可以手动一次把消息重新放入队列,进行消息(因为有时间消费队列里面可能在请求其它服务,其它服务也可能会挂掉)
这时候消息无论你消费多少次都没有用,但是入库db后,可以一键重回队列消息(当我们知道服务已经正常后)
图解:
附上代码
git clone
send.go 消费者
package mainimport ( "fmt" _ "fmt" ";)func main() { for i := 0;i<20;i++{ body := fmt.Sprintf("{\"order_id\":%d}",i) fmt.Println(body) /** 使用默认的交换机 如果是默认交换机 type QueueExchange struct { QuName string // 队列名称 RtKey string // key值 ExName string // 交换机名称 ExType string // 交换机类型 Dns string //链接地址 } 如果你喜欢使用默认交换机 RtKey 此处建议填写成 RtKey 和 QuName 一样的值 */ queueExchange := rabbitmq.QueueExchange{ "a_test_0001", "a_test_0001", "hello_go", "direct", "amqp://guest:guest@192.168.1.169:5672/", } _ = rabbitmq.Send(queueExchange,body) }}
recv.go消费者
package mainimport ( "fmt" "; "time")type RecvPro struct {}//// 实现消费者 消费消息失败 自动进入延时尝试 尝试3次之后入库db/*返回值 error 为nil 则表示该消息消费成功否则消息会进入ttl延时队列 重复尝试消费3次3次后消息如果还是失败 消息就执行失败 进入告警 FailAction */func (t *RecvPro) Consumer(dataByte []byte) error { time.Sleep(time.Second*1) //return errors.New("顶顶顶顶") fmt.Println(string(dataByte)) //time.Sleep(1*time.Second) //return errors.New("顶顶顶顶") return nil}//消息已经消费3次 失败了 请进行处理/*如果消息 消费3次后 仍然失败 此处可以根据情况 对消息进行告警提醒 或者 补偿 入库db 钉钉告警等等 */func (t *RecvPro) FailAction(err error,dataByte []byte) error { fmt.Println(string(dataByte)) fmt.Println(err) fmt.Println("任务处理失败了,我要进入db日志库了") fmt.Println("任务处理失败了,发送钉钉消息通知主人") return nil}func main() { processTask := &RecvPro{} /* runNums: 表示任务并发处理数量 一般建议 普通任务1-3 就可以了 maxTryConnTimeFromMinute:表示最大尝试时间 分钟 */ err := rabbitmq.Recv(rabbitmq.QueueExchange{ "a_test_0001", "a_test_0001", "hello_go", "direct", "amqp://guest:guest@192.168.1.169:5672/", }, processTask,4,2) if(err != nil){ fmt.Println(err) }}
recv.go消费者
package mainimport ( "fmt" "; "time")type RecvPro struct {}//// 实现消费者 消费消息失败 自动进入延时尝试 尝试3次之后入库db/*返回值 error 为nil 则表示该消息消费成功否则消息会进入ttl延时队列 重复尝试消费3次3次后消息如果还是失败 消息就执行失败 进入告警 FailAction */func (t *RecvPro) Consumer(dataByte []byte) error { time.Sleep(time.Second*1) //return errors.New("顶顶顶顶") fmt.Println(string(dataByte)) //time.Sleep(1*time.Second) //return errors.New("顶顶顶顶") return nil}//消息已经消费3次 失败了 请进行处理/*如果消息 消费3次后 仍然失败 此处可以根据情况 对消息进行告警提醒 或者 补偿 入库db 钉钉告警等等 */func (t *RecvPro) FailAction(err error,dataByte []byte) error { fmt.Println(string(dataByte)) fmt.Println(err) fmt.Println("任务处理失败了,我要进入db日志库了") fmt.Println("任务处理失败了,发送钉钉消息通知主人") return nil}func main() { processTask := &RecvPro{} /* runNums: 表示任务并发处理数量 一般建议 普通任务1-3 就可以了 maxTryConnTimeFromMinute:表示最大尝试时间 分钟 */ err := rabbitmq.Recv(rabbitmq.QueueExchange{ "a_test_0001", "a_test_0001", "hello_go", "direct", "amqp://guest:guest@192.168.1.169:5672/", }, processTask,4,2) if(err != nil){ fmt.Println(err) }}
utils/rabbitmq包
package rabbitmqimport ( "errors" "strconv" "time" //"errors" "fmt" "github.com/streadway/amqp" "log")// 定义全局变量,指针类型var mqConn *amqp.Connectionvar mqChan *amqp.Channel// 定义生产者接口type Producer interface { MsgContent() string}// 定义生产者接口type RetryProducer interface { MsgContent() string}// 定义接收者接口type Receiver interface { Consumer([]byte) error FailAction(error , []byte) error}// 定义RabbitMQ对象type RabbitMQ struct { connection *amqp.Connection Channel *amqp.Channel dns string QueueName string // 队列名称 RoutingKey string // key名称 ExchangeName string // 交换机名称 ExchangeType string // 交换机类型 producerList []Producer retryProducerList []RetryProducer receiverList []Receiver}// 定义队列交换机对象type QueueExchange struct { QuName string // 队列名称 RtKey string // key值 ExName string // 交换机名称 ExType string // 交换机类型 Dns string //链接地址}// 链接rabbitMQfunc (r *RabbitMQ)MqConnect() (err error){ mqConn, err = amqp.Dial(r.dns) r.connection = mqConn // 赋值给RabbitMQ对象 if err != nil { fmt.Printf("rbmq链接失败 :%s \n", err) } return}// 关闭mq链接func (r *RabbitMQ)CloseMqConnect() (err error){ err = r.connection.Close() if err != nil{ fmt.Printf("关闭mq链接失败 :%s \n", err) } return}// 链接rabbitMQfunc (r *RabbitMQ)MqOpenChannel() (err error){ mqConn := r.connection r.Channel, err = mqConn.Channel() //defer mqChan.Close() if err != nil { fmt.Printf("MQ打开管道失败:%s \n", err) } return err}// 链接rabbitMQfunc (r *RabbitMQ)CloseMqChannel() (err error){ r.Channel.Close() if err != nil { fmt.Printf("关闭mq链接失败 :%s \n", err) } return err}// 创建一个新的操作对象func NewMq(q QueueExchange) RabbitMQ { return RabbitMQ{ QueueName:q.QuName, RoutingKey:q.RtKey, ExchangeName: q.ExName, ExchangeType: q.ExType, dns:q.Dns, }}func (mq *RabbitMQ) sendMsg (body string) (err error) { err = mq.MqOpenChannel() ch := mq.Channel if err != nil{ log.Printf("Channel err :%s \n", err) } defer func() { _ = mq.Channel.Close() }() if mq.ExchangeName != "" { if mq.ExchangeType == ""{ mq.ExchangeType = "direct" } err = ch.ExchangeDeclare(mq.ExchangeName, mq.ExchangeType, true, false, false, false, nil) if err != nil { log.Printf("ExchangeDeclare err :%s \n", err) } } // 用于检查队列是否存在,已经存在不需要重复声明 _, err = ch.QueueDeclare(mq.QueueName, true, false, false, false, nil) if err != nil { log.Printf("QueueDeclare err :%s \n", err) } // 绑定任务 if mq.RoutingKey != "" && mq.ExchangeName != "" { err = ch.QueueBind(mq.QueueName, mq.RoutingKey, mq.ExchangeName, false, nil) if err != nil { log.Printf("QueueBind err :%s \n", err) } } if mq.ExchangeName != "" && mq.RoutingKey != ""{ err = mq.Channel.Publish( mq.ExchangeName, // exchange mq.RoutingKey, // routing key false, // mandatory false, // immediate amqp.Publishing { ContentType: "text/plain", Body: []byte(body), DeliveryMode: 2, }) }else{ err = mq.Channel.Publish( "", // exchange mq.QueueName, // routing key false, // mandatory false, // immediate amqp.Publishing { ContentType: "text/plain", Body: []byte(body), DeliveryMode: 2, }) } return}/*发送延时消息 */func (mq *RabbitMQ)sendDelayMsg(body string,ttl int64) (err error){ err =mq.MqOpenChannel() ch := mq.Channel if err != nil{ log.Printf("Channel err :%s \n", err) } defer mq.Channel.Close() if mq.ExchangeName != "" { if mq.ExchangeType == ""{ mq.ExchangeType = "direct" } err = ch.ExchangeDeclare(mq.ExchangeName, mq.ExchangeType, true, false, false, false, nil) if err != nil { return } } if ttl <= 0{ return errors.New("发送延时消息,ttl参数是必须的") } table := make(map[string]interface{},3) table["x-dead-letter-routing-key"] = mq.RoutingKey table["x-dead-letter-exchange"] = mq.ExchangeName table["x-message-ttl"] = ttl*1000 //fmt.Printf("%+v",table) //fmt.Printf("%+v",mq) // 用于检查队列是否存在,已经存在不需要重复声明 ttlstring := strconv.FormatInt(ttl,10) queueName := fmt.Sprintf("%s_delay_%s",mq.QueueName ,ttlstring) routingKey := fmt.Sprintf("%s_delay_%s",mq.QueueName ,ttlstring) _, err = ch.QueueDeclare(queueName, true, false, false, false, table) if err != nil { return } // 绑定任务 if routingKey != "" && mq.ExchangeName != "" { err = ch.QueueBind(queueName, routingKey, mq.ExchangeName, false, nil) if err != nil { return } } header := make(map[string]interface{},1) header["retry_nums"] = 0 var ttl_exchange string var ttl_routkey string if(mq.ExchangeName != "" ){ ttl_exchange = mq.ExchangeName }else{ ttl_exchange = "" } if mq.RoutingKey != "" && mq.ExchangeName != ""{ ttl_routkey = routingKey }else{ ttl_routkey = queueName } err = mq.Channel.Publish( ttl_exchange, // exchange ttl_routkey, // routing key false, // mandatory false, // immediate amqp.Publishing { ContentType: "text/plain", Body: []byte(body), Headers:header, }) if err != nil { return } return}func (mq *RabbitMQ) sendRetryMsg (body string,retry_nums int32,args ...string) { err :=mq.MqOpenChannel() ch := mq.Channel if err != nil{ log.Printf("Channel err :%s \n", err) } defer mq.Channel.Close() if mq.ExchangeName != "" { if mq.ExchangeType == ""{ mq.ExchangeType = "direct" } err = ch.ExchangeDeclare(mq.ExchangeName, mq.ExchangeType, true, false, false, false, nil) if err != nil { log.Printf("ExchangeDeclare err :%s \n", err) } } //原始路由key oldRoutingKey := args[0] //原始交换机名 oldExchangeName := args[1] table := make(map[string]interface{},3) table["x-dead-letter-routing-key"] = oldRoutingKey if oldExchangeName != "" { table["x-dead-letter-exchange"] = oldExchangeName }else{ mq.ExchangeName = "" table["x-dead-letter-exchange"] = "" } table["x-message-ttl"] = int64(20000) //fmt.Printf("%+v",table) //fmt.Printf("%+v",mq) // 用于检查队列是否存在,已经存在不需要重复声明 _, err = ch.QueueDeclare(mq.QueueName, true, false, false, false, table) if err != nil { log.Printf("QueueDeclare err :%s \n", err) } // 绑定任务 if mq.RoutingKey != "" && mq.ExchangeName != "" { err = ch.QueueBind(mq.QueueName, mq.RoutingKey, mq.ExchangeName, false, nil) if err != nil { log.Printf("QueueBind err :%s \n", err) } } header := make(map[string]interface{},1) header["retry_nums"] = retry_nums + int32(1) var ttl_exchange string var ttl_routkey string if(mq.ExchangeName != "" ){ ttl_exchange = mq.ExchangeName }else{ ttl_exchange = "" } if mq.RoutingKey != "" && mq.ExchangeName != ""{ ttl_routkey = mq.RoutingKey }else{ ttl_routkey = mq.QueueName } //fmt.Printf("ttl_exchange:%s,ttl_routkey:%s \n",ttl_exchange,ttl_routkey) err = mq.Channel.Publish( ttl_exchange, // exchange ttl_routkey, // routing key false, // mandatory false, // immediate amqp.Publishing { ContentType: "text/plain", Body: []byte(body), Headers:header, }) if err != nil { fmt.Printf("MQ任务发送失败:%s \n", err) }}// 监听接收者接收任务 消费者func (mq *RabbitMQ) ListenReceiver(receiver Receiver) { err :=mq.MqOpenChannel() ch := mq.Channel if err != nil{ log.Printf("Channel err :%s \n", err) } defer mq.Channel.Close() if mq.ExchangeName != "" { if mq.ExchangeType == ""{ mq.ExchangeType = "direct" } err = ch.ExchangeDeclare(mq.ExchangeName, mq.ExchangeType, true, false, false, false, nil) if err != nil { log.Printf("ExchangeDeclare err :%s \n", err) } } // 用于检查队列是否存在,已经存在不需要重复声明 _, err = ch.QueueDeclare(mq.QueueName, true, false, false, false, nil) if err != nil { log.Printf("QueueDeclare err :%s \n", err) } // 绑定任务 if mq.RoutingKey != "" && mq.ExchangeName != "" { err = ch.QueueBind(mq.QueueName, mq.RoutingKey, mq.ExchangeName, false, nil) if err != nil { log.Printf("QueueBind err :%s \n", err) } } // 获取消费通道,确保rabbitMQ一个一个发送消息 err = ch.Qos(1, 0, false) msgList, err := ch.Consume(mq.QueueName, "", false, false, false, false, nil) if err != nil { log.Printf("Consume err :%s \n", err) } for msg := range msgList { retry_nums,ok := msg.Headers["retry_nums"].(int32) if(!ok){ retry_nums = int32(0) } // 处理数据 err := receiver.Consumer(msg.Body) if err!=nil { //消息处理失败 进入延时尝试机制 if retry_nums < 3{ fmt.Println(string(msg.Body)) fmt.Printf("消息处理失败 消息开始进入尝试 ttl延时队列 \n") retry_msg(msg.Body,retry_nums,QueueExchange{ mq.QueueName, mq.RoutingKey, mq.ExchangeName, mq.ExchangeType, mq.dns, }) }else{ //消息失败 入库db fmt.Printf("消息处理3次后还是失败了 入库db 钉钉告警 \n") receiver.FailAction(err,msg.Body) } err = msg.Ack(true) if err != nil { fmt.Printf("确认消息未完成异常:%s \n", err) } }else { // 确认消息,必须为false err = msg.Ack(true) if err != nil { fmt.Printf("消息消费ack失败 err :%s \n", err) } } }}//消息处理失败之后 延时尝试func retry_msg(msg []byte,retry_nums int32,queueExchange QueueExchange){ //原始队列名称 交换机名称 oldQName := queueExchange.QuName oldExchangeName := queueExchange.ExName oldRoutingKey := queueExchange.RtKey if oldRoutingKey == "" || oldExchangeName == ""{ oldRoutingKey = oldQName } if queueExchange.QuName != "" { queueExchange.QuName = queueExchange.QuName + "_retry_3"; } if queueExchange.RtKey != "" { queueExchange.RtKey = queueExchange.RtKey + "_retry_3"; }else{ queueExchange.RtKey = queueExchange.QuName + "_retry_3"; }//fmt.Printf("%+v",queueExchange) mq := NewMq(queueExchange) _ = mq.MqConnect() defer func(){ _ = mq.CloseMqConnect() }() //fmt.Printf("%+v",queueExchange) mq.sendRetryMsg(string(msg),retry_nums,oldRoutingKey,oldExchangeName)}func Send(queueExchange QueueExchange,msg string) (err error){ mq := NewMq(queueExchange) err = mq.MqConnect() if err != nil{ return } defer func(){ _ = mq.CloseMqConnect() }() err = mq.sendMsg(msg) return}//发送延时消息func SendDelay(queueExchange QueueExchange,msg string,ttl int64)(err error){ mq := NewMq(queueExchange) err = mq.MqConnect() if err != nil{ return } defer func(){ _ = mq.CloseMqConnect() }() err = mq.sendDelayMsg(msg,ttl) return}/*runNums 开启并发执行任务数量 */func Recv(queueExchange QueueExchange,receiver Receiver,otherParams ...int) (err error){ var ( exitTask bool maxTryConnNums int //rbmq链接失败后多久尝试一次 runNums int maxTryConnTimeFromMinute int ) if(len(otherParams) <= 0){ runNums = 1 maxTryConnTimeFromMinute = 0 }else if(len(otherParams) == 1){ runNums = otherParams[0] maxTryConnTimeFromMinute = 0 }else if(len(otherParams) == 2){ runNums = otherParams[0] maxTryConnTimeFromMinute = otherParams[1] } //maxTryConnNums := 360 //rbmq链接失败后最大尝试次数 //maxTryConnTime := time.Duration(10) //rbmq链接失败后多久尝试一次 maxTryConnNums = maxTryConnTimeFromMinute * 10 * maxTryConnTimeFromMinute//rbmq链接失败后最大尝试次数 maxTryConnTime := time.Duration(6) //rbmq链接失败后多久尝试一次 mq := NewMq(queueExchange) //链接rabbitMQ err = mq.MqConnect() if(err != nil){ return } defer func() { if panicErr := recover(); panicErr != nil{ fmt.Println(recover()) err = errors.New(fmt.Sprintf("%s",panicErr)) } }() //rbmq断开链接后 协程退出释放信号 taskQuit:= make(chan struct{}, 1) //尝试链接rbmq tryToLinkC := make(chan struct{}, 1) //最大尝试次数 tryToLinkMaxNums := make(chan struct{}, 1) maxTryNums := 0 //尝试重启次数 //开始执行任务 for i:=1;i<=runNums;i++{ go Recv2(mq,receiver,taskQuit); } //如果rbmq断开连接后 尝试重新建立链接 var tryToLink = func() { for { maxTryNums += 1 err = mq.MqConnect() if(err == nil){ tryToLinkC <- struct{}{} break } if(maxTryNums > maxTryConnNums){ tryToLinkMaxNums <- struct{}{} break } //如果链接断开了 10秒重新尝试链接一次 time.Sleep(time.Second * maxTryConnTime) } return } scheduleTimer := time.NewTimer(time.Millisecond*300) exitTask = true for{ select { case <-tryToLinkC: //建立链接成功后 重新开启协程执行任务 fmt.Println("重新开启新的协程执行任务") go Recv2(mq,receiver,taskQuit); case <-tryToLinkMaxNums://rbmq超出最大链接次数 退出任务 fmt.Println("rbmq链接超过最大尝试次数!") exitTask = false err = errors.New("rbmq链接超过最大尝试次数!") case <- taskQuit ://rbmq断开连接后 开始尝试重新建立链接 fmt.Println("rbmq断开连接后 开始尝试重新建立链接") go tryToLink() case <- scheduleTimer.C: //fmt.Println("~~~~~~~~~~~~~~~~~~~~~~~") } // 重置调度间隔 scheduleTimer.Reset(time.Millisecond*300) if !exitTask{ break } } fmt.Println("exit") return}func Recv2(mq RabbitMQ,receiver Receiver,taskQuit chan<- struct{}){ defer func() { fmt.Println("rbmq链接失败,协程任务退出~~~~~~~~~~~~~~~~~~~~") taskQuit <- struct{}{} return }() // 验证链接是否正常 err := mq.MqOpenChannel() if(err != nil){ return } mq.ListenReceiver(receiver)}type retryPro struct { msgContent string}二,延时队列
场景一:物联网系统经常会遇到向终端下发命令,如果命令一段时间没有应答,就需要设置成超时。
场景二:订单下单之后30分钟后,如果用户没有付钱,则系统自动取消订单。
最近的一个项目遇到了这种情况,如果运单30分钟还没有被接单,则状态自动变为已取消。实现延迟消息原理如下,借用一张图:
实现方案
定时任务轮询数据库,看是否有产生新任务,如果产生则消费任务pcntl_alarm为进程设置一个闹钟信号swoole的异步高精度定时器:swoole_time_tick(类似javascript的setInterval)和swoole_time_after(相当于javascript的setTimeout)rabbitmq延迟任务
以上四种方案,如果生产环境有使用到swoole建议使用第三种方案。此篇文章重点讲述第四种方案实现
生产者:
1 <?php 2 require_once __DIR__ . '/../vendor/autoload.php'; 3 use PhpAmqpLib\Connection\AMQPStreamConnection; 4 use PhpAmqpLib\Message\AMQPMessage; 5 6 7 $queue = "test_ack_queue"; 8 $exchange = "test_ack_queue"; 9 //获取连接10 $connection = new AMQPStreamConnection('localhost', 5672, 'guest', 'guest');11 //从连接中创建通道12 $channel = $connection->channel();13 14 $channel->exchange_declare('delay_exchange', 'direct',false,true,false);15 $channel->exchange_declare('cache_exchange', 'direct',false,true,false);16 17 $tale = new \PhpAmqpLib\Wire\AMQPTable();18 $tale->set('x-dead-letter-exchange', 'delay_exchange');19 $tale->set('x-dead-letter-routing-key','delay_exchange');20 //$tale->set('x-message-ttl',10000);21 22 $channel->queue_declare('cache_queue',false,true,false,false,false,$tale);23 $channel->queue_bind('cache_queue', 'cache_exchange','cache_exchange');24 25 $channel->queue_declare('delay_queue',false,true,false,false,false);26 $channel->queue_bind('delay_queue', 'delay_exchange','delay_exchange');27 28 29 $msg = new AMQPMessage('Hello World',array(30 'expiration' => 10000,31 'delivery_mode' => AMQPMessage::DELIVERY_MODE_PERSISTENT32 33 ));34 35 $channel->basic_publish($msg,'cache_exchange','cache_exchange');36 echo date('Y-m-d H:i:s')." [x] Sent 'Hello World!' ".PHP_EOL;37 38 39 40 41 //while ($wait) {42 // $channel->wait();43 //}44 45 $channel->close();46 $connection->close();task
消费者:
1 <?php 2 require_once __DIR__ . '/../vendor/autoload.php'; 3 use PhpAmqpLib\Connection\AMQPStreamConnection; 4 use PhpAmqpLib\Message\AMQPMessage; 5 6 7 //获取连接 8 $connection = new AMQPStreamConnection('localhost', 5672, 'guest', 'guest'); 9 //从连接中创建通道10 $channel = $connection->channel();11 12 13 //$channel->queue_declare($queue, false, true, false, false);14 //$channel->exchange_declare($exchange, 'topic', false, true, false);15 //$channel->queue_bind($queue, $exchange);16 17 18 19 $channel->exchange_declare('delay_exchange', 'direct',false,false,false);20 $channel->queue_declare('delay_queue',false,true,false,false,false);21 $channel->queue_bind('delay_queue', 'delay_exchange','delay_exchange');22 23 24 25 function process_message(AMQPMessage $message)26 {27 $headers = $message->get('application_headers');28 $nativeData = $headers->getNativeData();29 // var_dump($nativeData['x-delay']);30 echo date('Y-m-d H:i:s')." [x] Received",$message->body,PHP_EOL;31 $message->delivery_info['channel']->basic_ack($message->delivery_info['delivery_tag']);32 33 }34 35 36 $channel->basic_qos(null, 1, null);37 $channel->basic_consume('delay_queue', '', false, false, false, false, 'process_message');38 39 function shutdown($channel, $connection)40 {41 $channel->close();42 $connection->close();43 }44 register_shutdown_function('shutdown', $channel, $connection);45 46 while (count($channel->callbacks)) {47 $channel->wait();48 }work
延时队列实现和上面所讲的消息重试有异曲同工之处,都是利用了延时时间和死信队列这一特性实现
最新源码仓库地址:
其它:该rabbitmq包实现中包含了,rabbitmq断线重连,有兴趣的同学可以看看
(重试和重连接是两个概念)
重连接 :rabbitmq链接失败导致任务失败,此时要等待rabbitmq服务器恢复正常后才能再次启动协程处理任务
重试:rabbitmq服务正常,消息消费进程也正常,但是消息处理失败。尝试多次消费消息后还是失败就ack消息,在整个重试过程中不会阻塞消费
golang监听rabbitmq消息队列任务断线自动重连接:
标签: #php延迟队列订单超时 #php延迟队列订单超时怎么解决问题