这篇文章主要介绍RocketMQ设计之同步刷盘的示例分析，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！
在同步刷盘模式下，当消息写到内存后，会等待数据写到磁盘的CommitLog文件。
CommitLog的handleDiskFlush方法：
public void handleDiskFlush(AppendMessageResult result, PutMessageResult putMessageResult, MessageExt messageExt) { // Synchronization flush if (FlushDiskType.SYNC_FLUSH == this.defaultMessageStore.getMessageStoreConfig().getFlushDiskType()) { final GroupCommitService service = (GroupCommitService) this.flushCommitLogService; if (messageExt.isWaitStoreMsgOK()) { GroupCommitRequest request = new GroupCommitRequest(result.getWroteOffset() + result.getWroteBytes()); service.putRequest(request); boolean flushOK = request.waitForFlush(this.defaultMessageStore.getMessageStoreConfig().getSyncFlushTimeout()); if (!flushOK) { log.error("do groupcommit, wait for flush failed, topic: " + messageExt.getTopic() + " tags: " + messageExt.getTags() + " client address: " + messageExt.getBornHostString()); putMessageResult.setPutMessageStatus(PutMessageStatus.FLUSH_DISK_TIMEOUT); } } else { service.wakeup(); } } // Asynchronous flush else { if (!this.defaultMessageStore.getMessageStoreConfig().isTransientStorePoolEnable()) { flushCommitLogService.wakeup(); } else { commitLogService.wakeup(); } }}class GroupCommitService extends FlushCommitLogService { private volatile List<GroupCommitRequest> requestsWrite = new ArrayList<GroupCommitRequest>(); private volatile List<GroupCommitRequest> requestsRead = new ArrayList<GroupCommitRequest>(); //提交刷盘任务到任务列表 public synchronized void putRequest(final GroupCommitRequest request) { synchronized (this.requestsWrite) { this.requestsWrite.add(request); } if (hasNotified.compareAndSet(false, true)) { waitPoint.countDown(); // notify } } private void swapRequests() { List<GroupCommitRequest> tmp = this.requestsWrite; this.requestsWrite = this.requestsRead; this.requestsRead = tmp; } private void doCommit() { synchronized (this.requestsRead) { if (!this.requestsRead.isEmpty()) { for (GroupCommitRequest req : this.requestsRead) { // There may be a message in the next file, so a maximum of // two times the flush boolean flushOK = false; for (int i = 0; i < 2 && !flushOK; i++) { flushOK = CommitLog.this.mappedFileQueue.getFlushedWhere() >= req.getNextOffset(); if (!flushOK) { CommitLog.this.mappedFileQueue.flush(0); } } req.wakeupCustomer(flushOK); } long storeTimestamp = CommitLog.this.mappedFileQueue.getStoreTimestamp(); if (storeTimestamp > 0) { CommitLog.this.defaultMessageStore.getStoreCheckpoint().setPhysicMsgTimestamp(storeTimestamp); } this.requestsRead.clear(); } else { // Because of individual messages is set to not sync flush, it // will come to this process CommitLog.this.mappedFileQueue.flush(0); } } } public void run() { CommitLog.log.info(this.getServiceName() + " service started"); while (!this.isStopped()) { try { this.waitForRunning(10); this.doCommit(); } catch (Exception e) { CommitLog.log.warn(this.getServiceName() + " service has exception. ", e); } } // Under normal circumstances shutdown, wait for the arrival of the // request, and then flush try { Thread.sleep(10); } catch (InterruptedException e) { CommitLog.log.warn("GroupCommitService Exception, ", e); } synchronized (this) { this.swapRequests(); } this.doCommit(); CommitLog.log.info(this.getServiceName() + " service end"); } @Override protected void onWaitEnd() { this.swapRequests(); } @Override public String getServiceName() { return GroupCommitService.class.getSimpleName(); } @Override public long getJointime() { return 1000 * 60 * 5; } }GroupCommitRequest是刷盘任务，提交刷盘任务后，会在刷盘队列中等待刷盘，而刷盘线程
GroupCommitService每隔10毫秒写一批数据到磁盘。之所以不直接写是磁盘io压力大，写入性能低，每隔10毫秒写一次可以提升磁盘io效率和写入性能。
putRequest(request) 提交刷盘任务到任务列表
request.waitForFlush同步等待
GroupCommitService将任务列表中的任务刷盘完成。
两个队列读写分离，requestsWrite是写队列，用户保存添加进来的刷盘任务，requestsRead是读队列，在刷盘之前会把写队列的数据放入读队列。
CommitLog的doCommit方法：
private void doCommit() { synchronized (this.requestsRead) { if (!this.requestsRead.isEmpty()) { for (GroupCommitRequest req : this.requestsRead) { // There may be a message in the next file, so a maximum of // two times the flush boolean flushOK = false; for (int i = 0; i < 2 && !flushOK; i++) { //根据offset确定是否已经刷盘 flushOK = CommitLog.this.mappedFileQueue.getFlushedWhere() >= req.getNextOffset(); if (!flushOK) { CommitLog.this.mappedFileQueue.flush(0); } } req.wakeupCustomer(flushOK); } long storeTimestamp = CommitLog.this.mappedFileQueue.getStoreTimestamp(); if (storeTimestamp > 0) { CommitLog.this.defaultMessageStore.getStoreCheckpoint().setPhysicMsgTimestamp(storeTimestamp); } //清空已刷盘的列表 this.requestsRead.clear(); } else { // Because of individual messages is set to not sync flush, it // will come to this process CommitLog.this.mappedFileQueue.flush(0); } } }刷盘的时候依次读取
requestsRead中的数据写入磁盘，写入完成后清空
requestsRead。
读写分离设计的目的是在刷盘时不影响任务提交到列表。
CommitLog.this.mappedFileQueue.flush(0);是刷盘操作：
public boolean flush(final int flushLeastPages) { boolean result = true; MappedFile mappedFile = this.findMappedFileByOffset(this.flushedWhere, this.flushedWhere == 0); if (mappedFile != null) { long tmpTimeStamp = mappedFile.getStoreTimestamp(); int offset = mappedFile.flush(flushLeastPages); long where = mappedFile.getFileFromOffset() + offset; result = where == this.flushedWhere; this.flushedWhere = where; if (0 == flushLeastPages) { this.storeTimestamp = tmpTimeStamp; } } return result;}通过MappedFile映射的CommitLog文件写入磁盘
这就是RocketMQ高可用设计之同步刷盘的基本情况了，大体思路就是一个读写分离的队列来刷盘，同步刷盘任务提交后会在刷盘队列中等待刷盘完成后再返回，而GroupCommitService每隔10毫秒写一批数据到磁盘。
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