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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