Semyon semyont

Performance of Flask, Tornado, GEvent, and their combinations

Wensheng Wang, 10/1/11

Source: http://blog.wensheng.org/2011/10/performance-of-flask-tornado-gevent-and.html

When choosing a web framework, I pretty much have eyes set on Tornado. But I heard good things about Flask and Gevent. So I tested the performance of each and combinations of the three. I chose something just a little more advanced than a "Hello World" program to write - one that use templates. Here are the codes:

	import os.path
	import tornado.web
	import tornado.wsgi
	import gevent.wsgi

	class MainHandler(tornado.web.RequestHandler):
	def get(self):
	self.render('main.html', page_title="", body_id="", messages="whatever",title="home")

	settings = {

	class MyTask(luigi.Task):
	def complete(self):
	def _get_last(outputs):
	last = 0.0
	for item in outputs:
	if not item.exists():
	continue
	current = os.path.getmtime(item.path)
	if current > last:
	last = current

	[core]
	# These parameters control core luigi behavior, such as error e-mails and
	# interactions between the worker and scheduler.

	default-scheduler-host: localhost
	# Hostname of the machine running the scheduler. Defaults to localhost.

	default-scheduler-port: 8082
	# Port of the remote scheduler api process. Defaults to 8082.

	"Statement": [
	{
	"Effect": "Allow",
	"Action": "s3:ListAllMyBuckets",
	"Resource": "arn:aws:s3:::*"
	},
	{
	"Effect": "Allow",
	"Action": "s3:*",
	"Resource": [

	WMS url => http://ows.mundialis.de/services/service?
	WMS layers => TOPO-OSM-WMS
	WMS version => 1.1.1
	WMS format => image/png

	import uuid
	import psycopg2
	from secret import REDSHIFT_CREDS
	from secret import AWS_ACCESS_KEY, AWS_SECRET_KEY

	def get_primary_keys(tablename, db):
	c = db.cursor()
	sql = "select indexdef from pg_indexes where tablename = '%s';" % tablename
	c.execute(sql)
	result = c.fetchall()[0][0]

	# import python core modules
	import datetime
	import logging

	# import external modules
	import pandas as pd
	import requests

	# import luigi modules
	import luigi

	#!/usr/bin/python
	__author__='Semyon Teplisky'

	import functools
	import pandas as pd
	import numpy as np

	raw_data = [{'campaign_id':1111,'medium_id':'msn','campaign_name': 'viral #1', 'clicks':100, 'ctr':0.7},
	{'campaign_id':1111,'medium_id':'aol','campaign_name': 'viral #1', 'clicks':250, 'ctr':0.4},
	{'campaign_id':1111,'medium_id':'google','campaign_name': 'viral #1', 'clicks':500, 'ctr':0.1}]

	sudo apt-get clean
	sudo apt-get autoremove --purge -y

Semyon semyont

Performance of Flask, Tornado, GEvent, and their combinations

1, Pure Flask (pure_flask.py)