WSGIContainer vs ExecutorWSGIContainer

wsgiserver.py

#!/usr/bin/env python

# Setup config below

# Call simultaneously some:
# $ curl http://localhost:8888/


import random
import sys
import time

import tornado.httpserver
import tornado.ioloop
import tornado.wsgi

from concurrent.futures import ThreadPoolExecutor

### Config ###
## Send answer fit to output buffer or overflows it and sent chunk-by-chunk
big_packet = False

## Container type:
ctype = 'basic'
#ctype = 'dummy'
#ctype = 'threaded'


def simple_app(environ, start_response):
    simple_app.count += 1
    num = simple_app.count

    print 'Start long processing #', num
    time.sleep(5)
    print 'End of long processing #', num

    status = "200 OK"
    response_headers = [("Content-type", "text/plain")]
    start_response(status, response_headers)

    for i in range(1000000 if big_packet else 100):
        yield random.choice('abcdef')
    yield '\n'

    print 'End of request #', num
    print
simple_app.count = 0

def alive():
    print 'IOLoop alive'

with ThreadPoolExecutor(1) as executor:
    containers = {
        'basic': tornado.wsgi.WSGIContainer(simple_app),
        'dummy': tornado.wsgi.ExecutorWSGIContainer(simple_app),
        'threaded': tornado.wsgi.ExecutorWSGIContainer(simple_app, executor=executor),
    }

    http_server = tornado.httpserver.HTTPServer(containers[ctype])
    http_server.listen(8888)
    tornado.ioloop.PeriodicCallback(alive, 1000).start()
    tornado.ioloop.IOLoop.instance().start()