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*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alt="" width="353" />

 

go并发调度模型如上图

M指的是Machine，一个M直接关联了一个线程。

P指的是Processor，代表了M所需的上下文环境，也是处理用户级代码逻辑的处理器。

G指的是Goroutine，其实本质上也是一种轻量级的线程。

 

⾸先是 Processor（简称 P），其作⽤类似 CPU 核，⽤来控制可同时并发执⾏的任务数量。每个⼯作线程都必须绑定⼀个有效 P 才被允许执⾏任务，否则只能休眠，直到有空闲 P 时被唤醒。P 还为线程提供执⾏资源，⽐如对象分配内存、本地任务队列等。线程独享所绑定的 P 资源，可在⽆锁状态下执⾏⾼效操作。

 

进程内的⼀切都在以G⽅式运⾏，包括运⾏时相关服务，以及main.main ⼊口函数。需要指出，G 并⾮执⾏体，它仅仅保存并发任务状态，为任务执⾏提供所需栈内存空间。G 任务创建后被放置在 P 本地队列或全局队列，等待⼯作线程调度执⾏。

 

实际执⾏体是系统线程（简称 M），它和 P 绑定，以调度循环⽅式不停执⾏ G 并发任务。M 通过修改寄存器，将执⾏栈指向 G ⾃带栈内存，并在此空间内分配堆栈帧，执⾏任函数。当需要中途切换时，只要将相关寄存器值保存回 G 空间即可维持状态，任何 M 都可据此恢复执⾏。线程仅负责执⾏，不再持有状态，这是并发任务跨线程调度，实现多路复⽤的根本所在。

 

P保存P执行过程中的数据行，当G被暂停时，SP，SC等寄存器信息会保存在G.sched中，当G被唤醒继续执行时，从之前暂停的位置继续执行，因为G提供内存栈，并记录了上次执行到的位置，G数量很多，P相对较少，在垃圾回收的时候方便定位

P中有一个对列保存G的指针，其实就是一个256个元素的数组，通过两个变量指向对首和对尾，所以这个队列是会出现满的情况的，满了新加的G就只能放到全局队列中

对应函数runtime.newproc

1：从执行当前方法的G所在P的空闲G列表中取一个G，如果没有就从全局list中取一个，毕竟G还是经常使用，用完的G并不是马上释放，而是放回P的空闲列表中反复利用，如果还是没有空闲的G，就new一个malg(2048)，G的栈大小为2K

2：如果有参数会将参数拷贝到G的栈上，将G状态改成可运行状态

3：如果P的G队列没满，将G加入队尾

4：如果P的G队列满了，就取出G队列的前面一半+当前G，共129个G加入全局队列

加入队列后，等待被调度

 

G本身有个字段schedlink指向另一个G，天生就是链表的一个节点，全局队列其实就是两个指针，一个指向队首，一个指向队尾，队尾的存在就是方便入队列

入全局队列：前面说过将P中的一半+1个G(129)加入全局队列，并不是一个个入队列，而是将这个129个G的首接入全局队列的尾，将全局队列的尾改成这129个G的尾

出全局队列：当系统开始调度的时候，会从P本地G队列取一个可用G执行，如果没有，则从全局队列中取，最多取128个，返回第一个用于执行，剩余的存入本地G队列中，毕竟操作本地队列不用加锁，操作全局队列需要加锁

 

1：本地队列：从M对应的P的G队列中找(runqget)，队列不为空，返回对列首个元素，对首指针指向下一个元素，当对首和对尾指向同一个元素时表示队列为空，访问本地队列中的G不需要加锁

2：全局队列：从全局队列中找(globrunqget)，从全局队列中取G不是一次取一个，毕竟访问全局队列是要加锁的，所以全局队列有多少取多少，最多取P队列容量一半128个，将这些G存入P的G队列中

3：⽹络任务（netpoll）

4：从其他P任务队列取，拿一半

所有目的就是多核齐心协力以最快的速度完成任务，总不能出现某个P的本地队列还有多个人，其他P都在睡大觉吧，最后如果还是没找到一个可用的G，那就大家一起睡大觉，等着被叫醒

 

永远不会退出的调度(schedule)

当一个G执行完成后，会继续调用调度函数schedule，死循环就产生了

mstart() => schedule() => findrunnable() => execute() => func() => goexit() => schedule()

M就绪  =>调度 => 查找可调度G => 执行G => 具体方法 => 执行完成 => 继续调度

入口函数是 _rt0_amd64_linux，需要说明的是，不同平台的入口函数名称会有所不同，该方法会调用runtime.rt0_go汇编。

rt0_go 做了大量的初始化工作，runtime.args 读取命令行参数、runtime.osinit 读取 CPU 数目，runtime.schedinit初始化Processor数目，最大的Machine数目等等。

 

除此之外，我们还看到了两个奇怪的 g0 和 m0 变量。m0 Machine 代表着当前初始化线程，而 g0 代表着初始化线程 m0 的 system stack，似乎还缺一个 p0 ？

实际上所有的 Processor 都会放到 allp 里。runtime.schedinit 会在调用 procresize 时为 m0 分配上 allp[0] 。所以到目前为止，初始化线程运行模式是符合上文提到的 G/P/M 模型的。

 

大量的初始化工作做完之后，会调用 runtime.newproc 为 mainPC 方法生成一个 Goroutine。 虽然 mainPC 并不是我们平时写的那个 main 函数，但是它会调用我们写的 main 函数，所以 main 函数是会以 Goroutine 的形式运行。

参考

https://github.com/golang/go    （go源码）

https://github.com/qyuhen/book  (雨痕，内容很棒很全面，已出书)