RocketMq延时队列的实现原理
定时消息的第二个设计关键点 : 消息存储时如果消息的延迟级别属性 delayLevel > 0
，则会备份原主题 原队列到消息属性中，其键分别为 PROPERTY_REAL_TOPIC
PROPERTY_REAL_QUEUE_ID 通过为不同的延迟级别创建不同的调度任务。 当时间到
达后执行调度任务， 调度任务主要就是根据延迟拉取消息消费进度从延迟队列中拉取消息，
然后从 commitlog 加载完整消息，清除延迟级别属性并恢复原先的主题、队列，再次创
建一条新的消息存入到 commitlog 中并转发到消息消费队列供消息消费者消费
2021-05-19 更新
1 一个消息发送还是正常发送，包括选择哪个broker，只是在到达commitLog时会对他做特殊处理。
org.apache.rocketmq.store.CommitLog
public CompletableFuture<PutMessageResult> asyncPutMessage(final MessageExtBrokerInner msg) { // Set the storage time msg.setStoreTimestamp(System.currentTimeMillis()); // Set the message body BODY CRC (consider the most appropriate setting // on the client) msg.setBodyCRC(UtilAll.crc32(msg.getBody())); // Back to Results AppendMessageResult result = null; StoreStatsService storeStatsService = this.defaultMessageStore.getStoreStatsService(); String topic = msg.getTopic(); int queueId = msg.getQueueId(); final int tranType = MessageSysFlag.getTransactionValue(msg.getSysFlag()); if (tranType == MessageSysFlag.TRANSACTION_NOT_TYPE || tranType == MessageSysFlag.TRANSACTION_COMMIT_TYPE) { // Delay Delivery if (msg.getDelayTimeLevel() > 0) { if (msg.getDelayTimeLevel() > this.defaultMessageStore.getScheduleMessageService().getMaxDelayLevel()) { msg.setDelayTimeLevel(this.defaultMessageStore.getScheduleMessageService().getMaxDelayLevel()); } topic = TopicValidator.RMQ_SYS_SCHEDULE_TOPIC; queueId = ScheduleMessageService.delayLevel2QueueId(msg.getDelayTimeLevel());
这里其实就是精髓了，在存消息的时候就已经根据不同的level把消息分到不同的queue上去了，每一种level存到不同的queue。比如1s的延时和10s的延时就存到了不同的queue上。这样做的好处很明显，
比如在10s这个延时等级上，在某一次执行的时候，调度任务会计算距离下一次的时间 delayTime，同时在包一个延时任务，延时的时间就是delayTime。
此时由于是多线程环境，其他线程再放进来的任务，延时时间一定不会比delayTime小。也就是说多线程环境下，也能保证某一次寻找下一次要执行的任务的delayTime总是正确的。
2 创建不同的定时调度器
在每一个broker启动的时候 就已经把18个延时级别都分别创建了定时调度器了，当然我觉得有点浪费
ScheduleMessageService# parseDelayLevel
public boolean load() { boolean result = super.load(); result = result && this.parseDelayLevel(); return result; }
public boolean parseDelayLevel() { HashMap<String, Long> timeUnitTable = new HashMap<String, Long>(); timeUnitTable.put("s", 1000L); timeUnitTable.put("m", 1000L * 60); timeUnitTable.put("h", 1000L * 60 * 60); timeUnitTable.put("d", 1000L * 60 * 60 * 24); String levelString = this.defaultMessageStore.getMessageStoreConfig().getMessageDelayLevel(); try { String[] levelArray = levelString.split(" "); for (int i = 0; i < levelArray.length; i++) { String value = levelArray[i]; String ch = value.substring(value.length() - 1); Long tu = timeUnitTable.get(ch); int level = i + 1; if (level > this.maxDelayLevel) { this.maxDelayLevel = level; } long num = Long.parseLong(value.substring(0, value.length() - 1)); long delayTimeMillis = tu * num; this.delayLevelTable.put(level, delayTimeMillis); } } catch (Exception e) { log.error("parseDelayLevel exception", e); log.info("levelString String = {}", levelString); return false; } return true; }
MessageStoreConfig #messageDelayLevel
private String messageDelayLevel = "1s 5s 10s 30s 1m 2m 3m 4m 5m 6m 7m 8m 9m 10m 20m 30m 1h 2h";
然后就是启动定时器
ScheduleMessageService# start
public void start() { if (started.compareAndSet(false, true)) { this.timer = new Timer("ScheduleMessageTimerThread", true); for (Map.Entry<Integer, Long> entry : this.delayLevelTable.entrySet()) { Integer level = entry.getKey(); Long timeDelay = entry.getValue(); Long offset = this.offsetTable.get(level); if (null == offset) { offset = 0L; } if (timeDelay != null) { this.timer.schedule(new DeliverDelayedMessageTimerTask(level, offset), FIRST_DELAY_TIME); } } this.timer.scheduleAtFixedRate(new TimerTask() { @Override public void run() { try { if (started.get()) ScheduleMessageService.this.persist(); } catch (Throwable e) { log.error("scheduleAtFixedRate flush exception", e); } } }, 10000, this.defaultMessageStore.getMessageStoreConfig().getFlushDelayOffsetInterval()); } }
3 定时调度任务
ScheduleMessageService 还有一个重要的成员变量
private final ConcurrentMap<Integer /* level */, Long/* offset */> offsetTable = new ConcurrentHashMap<Integer, Long>(32);
用来保存下一次的offset
DeliverDelayedMessageTimerTask是核心逻辑所在
@Override public void run() { try { if (isStarted()) { this.executeOnTimeup(); } } catch (Exception e) { // XXX: warn and notify me log.error("ScheduleMessageService, executeOnTimeup exception", e); ScheduleMessageService.this.timer.schedule(new DeliverDelayedMessageTimerTask( this.delayLevel, this.offset), DELAY_FOR_A_PERIOD); } }
public void executeOnTimeup() {
//找到对应的queue ConsumeQueue cq = ScheduleMessageService.this.defaultMessageStore.findConsumeQueue(TopicValidator.RMQ_SYS_SCHEDULE_TOPIC, delayLevel2QueueId(delayLevel)); long failScheduleOffset = offset; if (cq != null) { SelectMappedBufferResult bufferCQ = cq.getIndexBuffer(this.offset);//把实际的文件装进来 if (bufferCQ != null) { try { long nextOffset = offset; int i = 0; ConsumeQueueExt.CqExtUnit cqExtUnit = new ConsumeQueueExt.CqExtUnit(); for (; i < bufferCQ.getSize(); i += ConsumeQueue.CQ_STORE_UNIT_SIZE) {//CQ_STORE_UNIT_SIZE是20，就是每一个延时队列中消息的固定大小 long offsetPy = bufferCQ.getByteBuffer().getLong(); int sizePy = bufferCQ.getByteBuffer().getInt(); long tagsCode = bufferCQ.getByteBuffer().getLong(); if (cq.isExtAddr(tagsCode)) { if (cq.getExt(tagsCode, cqExtUnit)) { tagsCode = cqExtUnit.getTagsCode(); } else { //can't find ext content.So re compute tags code. log.error("[BUG] can't find consume queue extend file content!addr={}, offsetPy={}, sizePy={}", tagsCode, offsetPy, sizePy); long msgStoreTime = defaultMessageStore.getCommitLog().pickupStoreTimestamp(offsetPy, sizePy); tagsCode = computeDeliverTimestamp(delayLevel, msgStoreTime); } } long now = System.currentTimeMillis(); long deliverTimestamp = this.correctDeliverTimestamp(now, tagsCode); nextOffset = offset + (i / ConsumeQueue.CQ_STORE_UNIT_SIZE); long countdown = deliverTimestamp - now;//计算距离下一个消息还需要等待的时间 if (countdown <= 0) { MessageExt msgExt = ScheduleMessageService.this.defaultMessageStore.lookMessageByOffset( offsetPy, sizePy); if (msgExt != null) { try { MessageExtBrokerInner msgInner = this.messageTimeup(msgExt); if (TopicValidator.RMQ_SYS_TRANS_HALF_TOPIC.equals(msgInner.getTopic())) { log.error("[BUG] the real topic of schedule msg is {}, discard the msg. msg={}", msgInner.getTopic(), msgInner); continue; } PutMessageResult putMessageResult = ScheduleMessageService.this.writeMessageStore .putMessage(msgInner); if (putMessageResult != null && putMessageResult.getPutMessageStatus() == PutMessageStatus.PUT_OK) { continue; } else { // XXX: warn and notify me log.error( "ScheduleMessageService, a message time up, but reput it failed, topic: {} msgId {}", msgExt.getTopic(), msgExt.getMsgId()); ScheduleMessageService.this.timer.schedule( new DeliverDelayedMessageTimerTask(this.delayLevel, nextOffset), DELAY_FOR_A_PERIOD); ScheduleMessageService.this.updateOffset(this.delayLevel, nextOffset); return; } } catch (Exception e) { /* * XXX: warn and notify me */ log.error( "ScheduleMessageService, messageTimeup execute error, drop it. msgExt=" + msgExt + ", nextOffset=" + nextOffset + ",offsetPy=" + offsetPy + ",sizePy=" + sizePy, e); } } } else {
// 该分支是当前的记录还到执行时间的逻辑，能看到会直接return。还有会延时countdown时间 ScheduleMessageService.this.timer.schedule( new DeliverDelayedMessageTimerTask(this.delayLevel, nextOffset), countdown); ScheduleMessageService.this.updateOffset(this.delayLevel, nextOffset); return; } } // end of for nextOffset = offset + (i / ConsumeQueue.CQ_STORE_UNIT_SIZE); ScheduleMessageService.this.timer.schedule(new DeliverDelayedMessageTimerTask( this.delayLevel, nextOffset), DELAY_FOR_A_WHILE); ScheduleMessageService.this.updateOffset(this.delayLevel, nextOffset); return; } finally { bufferCQ.release(); } } // end of if (bufferCQ != null) else { long cqMinOffset = cq.getMinOffsetInQueue(); if (offset < cqMinOffset) { failScheduleOffset = cqMinOffset; log.error("schedule CQ offset invalid. offset=" + offset + ", cqMinOffset=" + cqMinOffset + ", queueId=" + cq.getQueueId()); } } } // end of if (cq != null) ScheduleMessageService.this.timer.schedule(new DeliverDelayedMessageTimerTask(this.delayLevel, failScheduleOffset), DELAY_FOR_A_WHILE); }
posted on 2021-04-26 20:33 MaXianZhe 阅读(4138) 评论(0) 编辑 收藏 举报
