Django如何使用asyncio协程和ThreadPoolExecutor多线程
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2022-04-25 08:07:36
django视图函数执行,不在主线程中,直接loop = asyncio.new_event_loop() # 不能loop = asyncio.get_event_loop() 会触发runtime...
django视图函数执行,不在主线程中,直接loop = asyncio.new_event_loop()
# 不能loop = asyncio.get_event_loop() 会触发runtimeerror: there is no current event loop in thread
因为asyncio程序中的每个线程都有自己的事件循环,但它只会在主线程中为你自动创建一个事件循环。所以如果你asyncio.get_event_loop在主线程中调用一次,它将自动创建一个循环对象并将其设置为默认值,但是如果你在一个子线程中再次调用它,你会得到这个错误。相反,您需要在线程启动时显式创建/设置事件循环:
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
在django单个视图中使用asyncio实例代码如下(有多个io任务时)
from django.views import view import asyncio import time from django.http import jsonresponse class testasyncioview(view): def get(self, request, *args, **kwargs): """ 利用asyncio和async await关键字(python3.5之前使用yield)实现协程 """ self.id = 5 start_time = time.time() ''' # 同步执行 # results = [self.io_task1(self.id), # self.io_task2(self.id), # self.io_task2(self.id)] ''' loop = asyncio.new_event_loop() # 或 loop = asyncio.selectoreventloop() asyncio.set_event_loop(loop) self.loop = loop works = [ asyncio.ensure_future(self.io_task3(5)), asyncio.ensure_future(self.io_task3(5)), asyncio.ensure_future(self.io_task3(5)), asyncio.ensure_future(self.io_task3(5)), asyncio.ensure_future(self.io_task3(5)), ] try: results = loop.run_until_complete(asyncio.gather(*works)) # 两种写法 # results = loop.run_until_complete(self.gather_tasks()) finally: loop.close() end_time = time.time() return jsonresponse({'results': results, 'cost_time': (end_time - start_time)}) async def gather_tasks(self): tasks = ( self.make_future(self.io_task1, self.id), self.make_future(self.io_task2, self.id), self.make_future(self.io_task2, self.id), self.make_future(self.io_task1, self.id), self.make_future(self.io_task2, self.id), self.make_future(self.io_task2, self.id), ) results = await asyncio.gather(*tasks) return results async def make_future(self, func, *args): future = self.loop.run_in_executor(none, func, *args) response = await future return response def io_task1(self, sleep_time): time.sleep(sleep_time) return 66 def io_task2(self, sleep_time): time.sleep(sleep_time) return 77 async def io_task3(self, sleep_time): # await asyncio.sleep(sleep_time) s = await self.do(sleep_time) return s async def do(self, sleep_time): await asyncio.sleep(sleep_time) return 66
在django单个视图中使用threadpoolexecutor实例代码如下(有多个io任务时)
from django.views import view import time from concurrent.futures import threadpoolexecutor, as_completed class testthreadview(view): def get(self, request, *args, **kargs): start_time = time.time() future_set = set() tasks = (self.io_task1, self.io_task2, self.io_task2, self.io_task1, self.io_task2, self.io_task2) with threadpoolexecutor(len(tasks)) as executor: for task in tasks: future = executor.submit(task, 5) future_set.add(future) for future in as_completed(future_set): error = future.exception() if error is not none: raise error results = self.get_results(future_set) end_time = time.time() return jsonresponse({'results': results, 'cost_time': (end_time - start_time)}) def get_results(self, future_set): results = [] for future in future_set: results.append(future.result()) return results def io_task1(self, sleep_time): time.sleep(sleep_time) return 66 def io_task2(self, sleep_time): time.sleep(sleep_time) return 77
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