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优化消息队列服务
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@@ -156,7 +156,7 @@ func (cs *CustomerSubscriber) SubscribeRun() {
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func (cs *CustomerSubscriber) subscribe() bool {
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//先从内存中查找
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topicData, ret := cs.subscriber.queue.FindData(cs.StartIndex, cs.oneBatchQuantity)
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topicData, ret := cs.subscriber.queue.FindData(cs.StartIndex+1, cs.oneBatchQuantity)
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if ret == true {
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cs.publishToCustomer(topicData)
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return true
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@@ -49,13 +49,22 @@ func (mq *MemoryQueue) findData(startPos int32, startIndex uint64, limit int32)
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if findStartPos <= mq.tail {
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findEndPos = mq.tail + 1
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} else {
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findEndPos = int32(cap(mq.topicQueue))
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findEndPos = int32(len(mq.topicQueue))
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}
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if findStartPos >= findEndPos {
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return nil, false
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}
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// 要取的Seq 比内存中最小的数据的Seq还小,那么需要返回错误
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if mq.topicQueue[findStartPos].Seq > startIndex {
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return nil, false
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}
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//二分查找位置
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pos := int32(algorithms.BiSearch(mq.topicQueue[findStartPos:findEndPos], startIndex, 1))
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if pos == -1 {
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return nil, true
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return nil, false
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}
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pos += findStartPos
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@@ -76,22 +85,17 @@ func (mq *MemoryQueue) FindData(startIndex uint64, limit int32) ([]TopicData, bo
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//队列为空时,应该从数据库查找
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if mq.head == mq.tail {
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return nil, false
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}
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/*
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//先判断startIndex是否比第一个元素要大
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headTopic := (mq.head + 1) % int32(len(mq.topicQueue))
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//此时需要从持久化数据中取
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if startIndex+1 > mq.topicQueue[headTopic].Seq {
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return nil, false
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} else if mq.head < mq.tail {
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// 队列没有折叠
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return mq.findData(mq.head + 1, startIndex, limit)
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} else {
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// 折叠先找后面的部分
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datas,ret := mq.findData(mq.head+1, startIndex, limit)
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if ret {
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return datas, ret
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}
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*/
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retData, ret := mq.findData(mq.head+1, startIndex, limit)
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if mq.head <= mq.tail || ret == true {
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return retData, true
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// 后面没找到,从前面开始找
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return mq.findData(0, startIndex, limit)
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}
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//如果是正常head在后,尾在前,从数组0下标开始找到tail
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return mq.findData(0, startIndex, limit)
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}
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@@ -15,7 +15,7 @@ type QueueDataPersist interface {
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OnExit()
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OnReceiveTopicData(topic string, topicData []TopicData) //当收到推送过来的数据时
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OnPushTopicDataToCustomer(topic string, topicData []TopicData) //当推送数据到Customer时回调
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PersistTopicData(topic string, topicData []TopicData, retryCount int) ([]TopicData, bool) //持久化数据,失败则返回false,上层会重复尝试,直到成功,建议在函数中加入次数,超过次数则返回true
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PersistTopicData(topic string, topicData []TopicData, retryCount int) ([]TopicData, []TopicData, bool) //持久化数据,失败则返回false,上层会重复尝试,直到成功,建议在函数中加入次数,超过次数则返回true
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FindTopicData(topic string, startIndex uint64, limit int64) []TopicData //查找数据,参数bool代表数据库查找是否成功
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LoadCustomerIndex(topic string, customerId string) (uint64, bool) //false时代表获取失败,一般是读取错误,会进行重试。如果不存在时,返回(0,true)
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GetIndex(topicData *TopicData) uint64 //通过topic数据获取进度索引号
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@@ -157,9 +157,9 @@ func (mp *MongoPersist) IsSameDay(timestamp1 int64,timestamp2 int64) bool{
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}
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// PersistTopicData 持久化数据
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func (mp *MongoPersist) PersistTopicData(topic string, topicData []TopicData, retryCount int) ([]TopicData, bool) {
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func (mp *MongoPersist) PersistTopicData(topic string, topicData []TopicData, retryCount int) ([]TopicData, []TopicData, bool) {
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if len(topicData) == 0 {
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return nil, true
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return nil, nil,true
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}
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preDate := topicData[0].Seq >> 32
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@@ -176,11 +176,11 @@ func (mp *MongoPersist) PersistTopicData(topic string, topicData []TopicData, re
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ret := mp.persistTopicData(collectName, topicData[:findPos], retryCount)
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//如果失败,下次重试
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if ret == false {
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return nil, false
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return nil, nil, false
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}
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//如果成功
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return topicData[findPos:len(topicData)], true
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return topicData[findPos:len(topicData)], topicData[0:findPos], true
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}
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// FindTopicData 查找数据
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@@ -27,7 +27,7 @@ func (ss *Subscriber) PushTopicDataToQueue(topic string, topics []TopicData) {
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}
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}
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func (ss *Subscriber) PersistTopicData(topic string, topics []TopicData, retryCount int) ([]TopicData, bool) {
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func (ss *Subscriber) PersistTopicData(topic string, topics []TopicData, retryCount int) ([]TopicData, []TopicData, bool) {
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return ss.dataPersist.PersistTopicData(topic, topics, retryCount)
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}
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@@ -113,25 +113,28 @@ func (tr *TopicRoom) topicRoomRun() {
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}
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//如果落地失败,最大重试maxTryPersistNum次数
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var ret bool
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for j := 0; j < maxTryPersistNum; {
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for retryCount := 0; retryCount < maxTryPersistNum; {
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//持久化处理
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stagingBuff, ret = tr.PersistTopicData(tr.topic, stagingBuff, j+1)
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//如果存档成功,并且有后续批次,则继续存档
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if ret == true && len(stagingBuff) > 0 {
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//二次存档不计次数
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continue
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}
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//计数增加一次,并且等待100ms,继续重试
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j += 1
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if ret == false {
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stagingBuff, savedBuff, ret := tr.PersistTopicData(tr.topic, stagingBuff, retryCount+1)
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if ret == true {
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// 1. 把成功存储的数据放入内存中
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if len(savedBuff) > 0 {
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tr.PushTopicDataToQueue(tr.topic, savedBuff)
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}
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// 2. 如果存档成功,并且有后续批次,则继续存档
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if ret == true && len(stagingBuff) > 0 {
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continue
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}
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// 3. 成功了,跳出
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break
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} else {
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//计数增加一次,并且等待100ms,继续重试
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retryCount++
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time.Sleep(time.Millisecond * 100)
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continue
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}
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tr.PushTopicDataToQueue(tr.topic, stagingBuff)
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break
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}
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}
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