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p = multiprocessing.Pool(4)
class QueryHandler(tornado.web.RequestHandler):
def get(self):
p.apply_async(async_func, [sql_command, arg1, arg2, arg3, ],
def callback_func(self, data):
def async_func(sql_command, arg1, arg2, arg3):
do the actual query job
# data is the query result by executing sql_command
return data
So the workflow is like this,
get() --> fork a subprocess to process the query request in
async_func() -> when async_func() returns, callback_func uses the
return result of async_func as the input argument, and send the query
result to the client.
#!/usr/bin/env python
# Copyright 2009 Facebook
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web
from tornado.options import define, options
from multiprocessing import Pool, Queue
import os
import time
define("port", default=8888, help="run on the given port", type=int)
def somefunc():
return os.getpid()
class MainHandler(tornado.web.RequestHandler):
def get(self):
p = self.application.settings.get('pool')
def on_getpid(self,pid):
def main():
application = tornado.web.Application([
(r"/", MainHandler),
], pool=Pool(4), queue=Queue())
http_server = tornado.httpserver.HTTPServer(application)
if __name__ == "__main__":
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