celery是实现一个简单，灵活可靠的分布式任务队列系统的好选择
tornado则不用过多介绍
在开发机上安装rabbitmq这里就不介绍了
首先是task文件的编写
task.py
#coding=utf-8
from celery import Celery
from celery.bin import worker as celery_worker
import celeryconfig
broker = 'amqp://'
backend = 'amqp'
app = Celery('celery_test', backend=backend, broker=broker)
app.config_from_object(celeryconfig)
@app.task
def mytask0(task_name):
print "task0:%s" %task_name
return task_name
@app.task
def mytask1(task_name):
print "task1:%s" %task_name
return task_name
def worker_start():
worker = celery_worker.worker(app=app)
worker.run(broker=broker, concurrency=4,
traceback=False, loglevel='INFO')
if __name__ == "__main__":
worker_start()
celeryconfig.py文件中包含对celery的配置
#coding=utf-8
from kombu import Queue
CELERY_DEFAULT_QUEUE = 'mytask0'
CELERY_QUEUES = (
Queue('mytask0', routing_key='task.mytask0'),
Queue('mytask1', routing_key='task.mytask1'),
)
CELERY_DEFAULT_EXCHANGE_TYPE = 'direct'
CELERY_DEFAULT_ROUTING_KEY = 'task.mytask0'
CELERY_TIMEZONE = 'Asia/Shanghai'
CELERY_ROUTES = {
'task.mytask0': {
'queue': 'mytask0',
'routing_key': 'task.mytask0',
},
'task.mytask1': {
'queue': 'mytask1',
'routing_key': 'task.mytask1',
},
}
执行python task.py将会启动worker
tornado调用celery将阻塞任务变为非阻塞
这会使用到tcelery模块，即tornado下的一个非阻塞的broker实现
app.py
#coding=utf-8
from tornado import web
import task
class TestHandler(tornado.web.RequestHandler):
@web.asynchronous
def get(self):
task.mytask0.apply_async(
args=['task0'],
queue='mytask0',
routing_key='task.mytask0',
callback=self.on_success)
def on_success(self, result):
self.finish({'task':result.result})
start.py
用于实现tornado服务的启动
#coding=utf-8
import tornado
from tornado.options import define, options, parse_command_line
from tornado.log import enable_pretty_logging
import tcelery
from app import TestHandler
import tornado.httpserver
define("port", default=8000, help="run on the given port", type=int)
define("debug", default=False, help="run in debug mode")
urls = [(r"/api/task/test", TestHandler)]
def server_start():
app = tornado.web.Application(urls, debug=options.debug)
enable_pretty_logging()
parse_command_line()
server = tornado.httpserver.HTTPServer(app)
server.bind(options.port)
server.start(2)
tcelery.setup_nonblocking_producer(limit=2)
tornado.ioloop.IOLoop.current().start()
if __name__ == "__main__":
server_start()
执行python start.py即可启动服务
以上这篇tornado+celery的简单使用详解就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持脚本之家。
