大师兄的Python源码学习笔记(四十）: Python的多线程机制(二）
大师兄的Python源码学习笔记(四十二）: Python的多线程机制(四）
四、创建线程
1. 创建子线程
- 在建立多线程环境后，Python会开始创建底层平台的原生线程，也可以称为子进程。
- 这还要从调用thread_PyThread_start_new_thread的主线程开始：
Modules\_threadmodule.c
static PyObject *
thread_PyThread_start_new_thread(PyObject *self, PyObject *fargs)
{
PyObject *func, *args, *keyw = NULL;
struct bootstate *boot;
unsigned long ident;
if (!PyArg_UnpackTuple(fargs, "start_new_thread", 2, 3,
&func, &args, &keyw))
return NULL;
... ...
boot = PyMem_NEW(struct bootstate, 1);
if (boot == NULL)
return PyErr_NoMemory();
boot->interp = PyThreadState_GET()->interp;
boot->func = func;
boot->args = args;
boot->keyw = keyw;
boot->tstate = _PyThreadState_Prealloc(boot->interp);
if (boot->tstate == NULL) {
PyMem_DEL(boot);
return PyErr_NoMemory();
}
Py_INCREF(func);
Py_INCREF(args);
Py_XINCREF(keyw);
PyEval_InitThreads(); /* Start the interpreter's thread-awareness */
ident = PyThread_start_new_thread(t_bootstrap, (void*) boot);
if (ident == PYTHREAD_INVALID_THREAD_ID) {
PyErr_SetString(ThreadError, "can't start new thread");
Py_DECREF(func);
Py_DECREF(args);
Py_XDECREF(keyw);
PyThreadState_Clear(boot->tstate);
PyMem_DEL(boot);
return NULL;
}
return PyLong_FromUnsignedLong(ident);
}
- 主线程在创建多线程环境后，调用PyThread_start_new_thread创建子线程：
Python\thread_nt.h
unsigned long
PyThread_start_new_thread(void (*func)(void *), void *arg)
{
HANDLE hThread;
unsigned threadID;
callobj *obj;
dprintf(("%lu: PyThread_start_new_thread called\n",
PyThread_get_thread_ident()));
if (!initialized)
PyThread_init_thread();
obj = (callobj*)HeapAlloc(GetProcessHeap(), 0, sizeof(*obj));
if (!obj)
return PYTHREAD_INVALID_THREAD_ID;
obj->func = func;
obj->arg = arg;
PyThreadState *tstate = PyThreadState_GET();
size_t stacksize = tstate ? tstate->interp->pythread_stacksize : 0;
hThread = (HANDLE)_beginthreadex(0,
Py_SAFE_DOWNCAST(stacksize, Py_ssize_t, unsigned int),
bootstrap, obj,
0, &threadID);
if (hThread == 0) {
/* I've seen errno == EAGAIN here, which means "there are
* too many threads".
*/
int e = errno;
dprintf(("%lu: PyThread_start_new_thread failed, errno %d\n",
PyThread_get_thread_ident(), e));
threadID = (unsigned)-1;
HeapFree(GetProcessHeap(), 0, obj);
}
else {
dprintf(("%lu: PyThread_start_new_thread succeeded: %p\n",
PyThread_get_thread_ident(), (void*)hThread));
CloseHandle(hThread);
}
return threadID;
}
- 观察PyThread_start_new_thread函数的参数：
func：函数t_bootstrap。
arg： boot，也就是保存了线程信息的bootstate结构。
- PyThread_start_new_thread实际将func和arg打包到一个类型为callobj的结构体中：
Python\thread_nt.h
/*
* Thread support.
*/
typedef struct {
void (*func)(void*);
void *arg;
} callobj;
- 有一点值得注意，_beginthreadex是Win32下用于创建线程的API。
Include\10.0.18362.0\ucrt\process.h
_Success_(return != 0)
_ACRTIMP uintptr_t __cdecl _beginthreadex(
_In_opt_ void* _Security,
_In_ unsigned _StackSize,
_In_ _beginthreadex_proc_type _StartAddress,
_In_opt_ void* _ArgList,
_In_ unsigned _InitFlag,
_Out_opt_ unsigned* _ThrdAddr
);
- 这是一个关键的转折，因为在此之前，我们一直在主线程的执行路径上；而现在我们通过_beginthreadex创建了一个子线程，并将之前打包的callobj结构体obj作为参数传递给了子线程。
- 梳理Python当前的状态：
- Python当前实际上由两个Win32下的原生线程组成，一个是执行Python程序时操作系统创建的主线程；另一个是通过_beginthreadex创建的子线程。
- 主线程在在执行PyEval_InitThreads的过程中，获得了GIL，并将自己挂起等待子线程。
- 子线程的线程过程是bootstrap，为了访问Python解释器，必须首先获得GIL。
Python\thread_nt.h
/* thunker to call adapt between the function type used by the system's
thread start function and the internally used one. */
static unsigned __stdcall
bootstrap(void *call)
{
callobj *obj = (callobj*)call;
void (*func)(void*) = obj->func;
void *arg = obj->arg;
HeapFree(GetProcessHeap(), 0, obj);
func(arg);
return 0;
}
- 在bootstrap中，子线程完成了三个动作：
1. 获得线程id；
2. 唤醒主线程；
3. 调用t_bootstrap。
- 主线程之所以需要等待子线程，是因为主线程调用的PyThread_start_new_thread需要返回所创建子线程的线程id，一旦在子线程中获得了线程id，就会设法唤醒主线程。
- 到这里，主线程和子线程开始分道扬镳，主线程在返回子线程id并获得GIL后，会继续执行后续字节码指令；而子线程则将进入t_bootstrap，最终进入等待GIL的状态。
Modules\_threadmodule.c
static void
t_bootstrap(void *boot_raw)
{
struct bootstate *boot = (struct bootstate *) boot_raw;
PyThreadState *tstate;
PyObject *res;
tstate = boot->tstate;
tstate->thread_id = PyThread_get_thread_ident();
_PyThreadState_Init(tstate);
PyEval_AcquireThread(tstate);
tstate->interp->num_threads++;
res = PyObject_Call(boot->func, boot->args, boot->keyw);
if (res == NULL) {
if (PyErr_ExceptionMatches(PyExc_SystemExit))
PyErr_Clear();
else {
PyObject *file;
PyObject *exc, *value, *tb;
PySys_WriteStderr(
"Unhandled exception in thread started by ");
PyErr_Fetch(&exc, &value, &tb);
file = _PySys_GetObjectId(&PyId_stderr);
if (file != NULL && file != Py_None)
PyFile_WriteObject(boot->func, file, 0);
else
PyObject_Print(boot->func, stderr, 0);
PySys_WriteStderr("\n");
PyErr_Restore(exc, value, tb);
PyErr_PrintEx(0);
}
}
else
Py_DECREF(res);
Py_DECREF(boot->func);
Py_DECREF(boot->args);
Py_XDECREF(boot->keyw);
PyMem_DEL(boot_raw);
tstate->interp->num_threads--;
PyThreadState_Clear(tstate);
PyThreadState_DeleteCurrent();
PyThread_exit_thread();
}
- 子线程从这里开始了与主线程对GIL的竞争：
- 首先子线程通过PyEval_AcquireThread申请GIL：
Python\ceval.c void PyEval_AcquireThread(PyThreadState *tstate) { if (tstate == NULL) Py_FatalError("PyEval_AcquireThread: NULL new thread state"); /* Check someone has called PyEval_InitThreads() to create the lock */ assert(gil_created()); take_gil(tstate); if (PyThreadState_Swap(tstate) != NULL) Py_FatalError( "PyEval_AcquireThread: non-NULL old thread state"); }
- 接下来子线程通过PyObject_Call调用字节码执行引擎：
Objects\call.c PyObject * PyObject_Call(PyObject *callable, PyObject *args, PyObject *kwargs) { ternaryfunc call; PyObject *result; /* PyObject_Call() must not be called with an exception set, because it can clear it (directly or indirectly) and so the caller loses its exception */ assert(!PyErr_Occurred()); assert(PyTuple_Check(args)); assert(kwargs == NULL || PyDict_Check(kwargs)); if (PyFunction_Check(callable)) { return _PyFunction_FastCallDict(callable, &PyTuple_GET_ITEM(args, 0), PyTuple_GET_SIZE(args), kwargs); } else if (PyCFunction_Check(callable)) { return PyCFunction_Call(callable, args, kwargs); } else { call = callable->ob_type->tp_call; if (call == NULL) { PyErr_Format(PyExc_TypeError, "'%.200s' object is not callable", callable->ob_type->tp_name); return NULL; } if (Py_EnterRecursiveCall(" while calling a Python object")) return NULL; result = (*call)(callable, args, kwargs); Py_LeaveRecursiveCall(); return _Py_CheckFunctionResult(callable, result, NULL); } }
- 传递进PyObject_Call的boot->func是一个PyFunctionObject对象，对应线程执行的方法。
- PyObject_Call结束后，子线程将释放GIL，并完成销毁线程的所有扫尾工作。
- 从t_bootstrap代码上看，子线程应该全部执行完成，才会通过PyThreadState_DeleteCurrent释放GIL。
- 但实际情况正如前面章节提到的，Python会定时激活线程的调度机制，在子线程和主线程之间不断切换，从而真正实现多线程机制。
网友评论