后端开发【一大波有用知识】Redis中的IO多线程（线程池）
一、Redis中的IO多线程原理
服务端收到一条信息，给它deconde成一条命令
然后根据命令获得一个结果(reply)
然后将结果encode后，发送回去
redis的单线程是指，命令执行(logic)都是在单线程中运行的
接受数据read和发送数据write都是可以在io多线程（线程池）中去运行
在Redis中，生产者也可以作为消费者，反之亦然，没有明确界限。
二、设置io多线程（调试设置）
在redis.conf中
设置io-threads-do-reads yes就可以开启io多线程
设置io-threads 2,设置为2（为了方便调试,真正使用的时候，可以根据需要设置），其中一个为主线程，另外一个是io线程
在networking.c中找到stopThreadedIOIfNeeded，如果在redis-cli中输入一条命令，是不会执行多线程的，因为它会判断，如果pending（需要做的命令）个数比io线程数少，就不会执行多线程
因此提前return 0，确保执行多线程,便于调试
int stopThreadedIOIfNeeded(void) {
int pending = listLength(server.clients_pending_write);
/* Return ASAP if IO threads are disabled (single threaded mode). */
if (server.io_threads_num == 1) return 1;
return 0;//为了调试，提前退出（自己添加的一行）
if (pending < (server.io_threads_num*2)) {
if (server.io_threads_active) stopThreadedIO();
return 1;
} else {
return 0;
}
}到此为止，只需要，运行redis-server,在networking.c的 readQueryFromClient中打个断点，然后在redis-cli中输入任意set key value就可以进入io多线程，进行调试
下图可以看到箭头指向的两个线程，一个是主线程，另一个是io线程
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三、Redis中的IO线程池
1、读取任务readQueryFromClient
postponeClientRead(c)就是判断io多线程模式，并将任务添加到 任务队列中
void readQueryFromClient(connection *conn) {
client *c = connGetPrivateData(conn);
int nread, big_arg = 0;
size_t qblen, readlen;
/* Check if we want to read from the client later when exiting from
* the event loop. This is the case if threaded I/O is enabled. */
if (postponeClientRead(c)) return;
//后面省略......
}2、主线程将 待读客户端 添加到Read任务队列（生产者）postponeClientRead
如果是io多线程模式，那么将任务添加到任务队列。
（这个函数名的意思，延迟读，就是将任务加入到任务队列，后续去执行）
int postponeClientRead(client *c) {
if (server.io_threads_active &&
server.io_threads_do_reads &&
!ProcessingEventsWhileBlocked &&
!(c->flags & (CLIENT_MASTER|CLIENT_SLAVE|CLIENT_BLOCKED)) &&
io_threads_op == IO_THREADS_OP_IDLE)
{
listAddNodeHead(server.clients_pending_read,c);//往任务队列中插入任务
c->pending_read_list_node = listFirst(server.clients_pending_read);
return 1;
} else {
return 0;
}
}3、多线程Read IO任务 handleClientsWithPendingReadsUsingThreads
基本原理和多线程Write IO是一样的，直接看多线程Write IO就行了。
其中processInputBuffer是解析协议
int handleClientsWithPendingReadsUsingThreads(void) {
if (!server.io_threads_active || !server.io_threads_do_reads) return 0;
int processed = listLength(server.clients_pending_read);
if (processed == 0) return 0;
/* Distribute the clients across N different lists. */
listIter li;
listNode *ln;
listRewind(server.clients_pending_read,&li);
int item_id = 0;
while((ln = listNext(&li))) {
client *c = listNodeValue(ln);
int target_id = item_id % server.io_threads_num;
listAddNodeTail(io_threads_list[target_id],c);
item_id++;
}
/* Give the start condition to the waiting threads, by setting the
* start condition atomic var. */
io_threads_op = IO_THREADS_OP_READ;
for (int j = 1; j < server.io_threads_num; j++) {
int count = listLength(io_threads_list[j]);
setIOPendingCount(j, count);
}
/* Also use the main thread to process a slice of clients. */
listRewind(io_threads_list[0],&li);
while((ln = listNext(&li))) {
client *c = listNodeValue(ln);
readQueryFromClient(c->conn);
}
listEmpty(io_threads_list[0]);
/* Wait for all the other threads to end their work. */
while(1) {
unsigned long pending = 0;
for (int j = 1; j < server.io_threads_num; j++)
pending += getIOPendingCount(j);
if (pending == 0) break;
}
io_threads_op = IO_THREADS_OP_IDLE;
/* Run the list of clients again to process the new buffers. */
while(listLength(server.clients_pending_read)) {
ln = listFirst(server.clients_pending_read);
client *c = listNodeValue(ln);
listDelNode(server.clients_pending_read,ln);
c->pending_read_list_node = NULL;
serverAssert(!(c->flags & CLIENT_BLOCKED));
if (beforeNextClient(c) == C_ERR) {
/* If the client is no longer valid, we avoid
* processing the client later. So we just go
* to the next. */
continue;
}
/* Once io-threads are idle we can update the client in the mem usage buckets */
updateClientMemUsageBucket(c);
if (processPendingCommandsAndResetClient(c) == C_ERR) {
/* If the client is no longer valid, we avoid
* processing the client later. So we just go
* to the next. */
continue;
}
if (processInputBuffer(c) == C_ERR) {
/* If the client is no longer valid, we avoid
* processing the client later. So we just go
* to the next. */
continue;
}
/* We may have pending replies if a thread readQueryFromClient() produced
* replies and did not install a write handler (it can't).
*/
if (!(c->flags & CLIENT_PENDING_WRITE) && clientHasPendingReplies(c))
clientInstallWriteHandler(c);
}
/* Update processed count on server */
server.stat_io_reads_processed += processed;
return processed;
}4、多线程write IO任务（消费者）handleClientsWithPendingWritesUsingThreads
1.判断是否有必要开启IO多线程
2.如果没启动IO多线程，就启动IO多线程
3.负载均衡：write任务队列，均匀分给不同io线程
4.启动io子线程
5.主线程执行io任务
6.主线程等待io线程写结束
/* This function achieves thread safety using a fan-out -> fan-in paradigm:
* Fan out: The main thread fans out work to the io-threads which block until
* setIOPendingCount() is called with a value larger than 0 by the main thread.
* Fan in: The main thread waits until getIOPendingCount() returns 0. Then
* it can safely perform post-processing and return to normal synchronous
* work. */
int handleClientsWithPendingWritesUsingThreads(void) {
int processed = listLength(server.clients_pending_write);
if (processed == 0) return 0; /* Return ASAP if there are no clients. */
/* If I/O threads are disabled or we have few clients to serve, don't
* use I/O threads, but the boring synchronous code. */
if (server.io_threads_num == 1 || stopThreadedIOIfNeeded()) {//判断是否有必要开启IO多线程
return handleClientsWithPendingWrites();
}
/* Start threads if needed. */
if (!server.io_threads_active) startThreadedIO();//开启io多线程
/* Distribute the clients across N different lists. */
listIter li;
listNode *ln;
listRewind(server.clients_pending_write,&li);//创建一个迭代器li，用于遍历任务队列clients_pending_write
int item_id = 0;//默认是0，先分配给主线程去做（生产者也可能是消费者），如果设置成1，则先让io线程1去做
//io_threads_list[0] 主线程
//io_threads_list[1] io线程
//io_threads_list[2] io线程
//io_threads_list[3] io线程
//io_threads_list[4] io线程
while((ln = listNext(&li))) {
client *c = listNodeValue(ln);//取出一个任务
c->flags &= ~CLIENT_PENDING_WRITE;
/* Remove clients from the list of pending writes since
* they are going to be closed ASAP. */
if (c->flags & CLIENT_CLOSE_ASAP) {//表示该客户端的输出缓冲区超过了服务器允许范围,将在下一次循环进行一个关闭,也不返回任何信息给客户端，删除待读客户端
listDelNode(server.clients_pending_write, ln);
continue;
}
/* Since all replicas and replication backlog use global replication
* buffer, to guarantee data accessing thread safe, we must put all
* replicas client into io_threads_list[0] i.e. main thread handles
* sending the output buffer of all replicas. */
if (getClientType(c) == CLIENT_TYPE_SLAVE) {
listAddNodeTail(io_threads_list[0],c);
continue;
}
//负载均衡：将任务队列中的任务 添加 到不同的线程消费队列中去，每个线程就可以从当前线程的消费队列中取任务就行了
//这样做的好处是，避免加锁。当前是在主线程中，进行分配任务
//通过取余操作，将任务均分给不同io线程
int target_id = item_id % server.io_threads_num;
listAddNodeTail(io_threads_list[target_id],c);
item_id++;
}
/* Give the start condition to the waiting threads, by setting the
* start condition atomic var. */
io_threads_op = IO_THREADS_OP_WRITE;
for (int j = 1; j < server.io_threads_num; j++) {
int count = listLength(io_threads_list[j]);
setIOPendingCount(j, count);//设置io线程启动条件，启动io线程
}
/* Also use the main thread to process a slice of clients. */
listRewind(io_threads_list[0],&li);//让主线程去处理一部分任务（io_threads_list[0]）
while((ln = listNext(&li))) {
client *c = listNodeValue(ln);
writeToClient(c,0);
}
listEmpty(io_threads_list[0]);
/* Wait for all the other threads to end their work. */
while(1) {//剩下的任务io_threads_list[1]，io_threads_list[2].....给io线程去做，等待io线程完成任务
unsigned long pending = 0;
for (int j = 1; j < server.io_threads_num; j++)
pending += getIOPendingCount(j);//等待io线程结束，并返回处理的数量
if (pending == 0) break;
}
io_threads_op = IO_THREADS_OP_IDLE;
/* Run the list of clients again to install the write handler where
* needed. */
listRewind(server.clients_pending_write,&li);
while((ln = listNext(&li))) {
client *c = listNodeValue(ln);
/* Update the client in the mem usage buckets after we're done processing it in the io-threads */
updateClientMemUsageBucket(c);
/* Install the write handler if there are pending writes in some
* of the clients. */
if (clientHasPendingReplies(c) &&
connSetWriteHandler(c->conn, sendReplyToClient) == AE_ERR)
{
freeClientAsync(c);
}
}
listEmpty(server.clients_pending_write);
/* Update processed count on server */
server.stat_io_writes_processed += processed;
return processed;
}负载均衡：将任务队列中的任务 添加 到不同的线程消费队列中去，每个线程就可以从当前线程的消费队列中取任务就行了。这样做的好处是，避免加锁。当前是在主线程中，进行分配任务通过取余操作，将任务均分给不同的io线程。
四、线程调度
1、开启io线程startThreadedIO
每个io线程都有一把锁，如果主线程把锁还回去了，那么io线程就会启动，不再阻塞
并设置io线程标识为活跃状态io_threads_active=1
void startThreadedIO(void) {
serverAssert(server.io_threads_active == 0);
for (int j = 1; j < server.io_threads_num; j++)
pthread_mutex_unlock(&io_threads_mutex[j]);
server.io_threads_active = 1;
}2、关闭io线程stopThreadedIO
每个io线程都有一把锁，如果主线程拿了，那么io线程就会阻塞等待，也就是停止了IO线程
并设置io线程标识为非活跃状态io_threads_active=0
void stopThreadedIO(void) {
/* We may have still clients with pending reads when this function
* is called: handle them before stopping the threads. */
handleClientsWithPendingReadsUsingThreads();
serverAssert(server.io_threads_active == 1);
for (int j = 1; j < server.io_threads_num; j++)
pthread_mutex_lock(&io_threads_mutex[j]);//
server.io_threads_active = 0;
}参考资料
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原文链接：redis7.0源码阅读（四）：Redis中的IO多线程（线程池）_菊头蝙蝠的博客-CSDN博客_redis 线程池