Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Cooperative Multitasking with Twisted: Getting ...
Search
David Reid
February 01, 2012
Programming
810
1
Share
Cooperative Multitasking with Twisted: Getting Things Done Concurrently
David Reid
February 01, 2012
Other Decks in Programming
See All in Programming
AWS re:Invent 2025の少し振り返り + DevOps AgentとBacklogを連携させてみた
satoshi256kbyte
2
150
Laravel Nightwatchの裏側 - Laravel公式Observabilityツールを支える設計と実装
avosalmon
1
310
RSAが破られる前に知っておきたい 耐量子計算機暗号(PQC)入門 / Intro to PQC: Preparing for the Post-RSA Era
mackey0225
3
120
事業会社でのセキュリティ長期インターンについて
masachikaura
0
230
夢の無限スパゲッティ製造機 -実装篇- #phpstudy
o0h
PRO
0
190
PHP 7.4でもOpenTelemetryゼロコード計装がしたい! / PHPerKaigi 2026
arthur1
1
500
それはエンジニアリングの糧である:AI開発のためにAIのOSSを開発する現場より / It serves as fuel for engineering: insights from the field of developing open-source AI for AI development.
nrslib
1
820
AIエージェントで業務改善してみた
taku271
0
460
Xdebug と IDE による デバッグ実行の仕組みを見る / Exploring-How-Debugging-Works-with-Xdebug-and-an-IDE
shin1x1
0
340
PCOVから学ぶコードカバレッジ #phpcon_odawara
o0h
PRO
0
190
[PHPerKaigi 2026]PHPerKaigi2025の企画CodeGolfが最高すぎて社内で内製して半年運営して得た内製と運営の知見
ikezoemakoto
0
330
一度始めたらやめられない開発効率向上術 / Findy あなたのdotfilesを教えて!
k0kubun
4
2.8k
Featured
See All Featured
Abbi's Birthday
coloredviolet
2
6.4k
svc-hook: hooking system calls on ARM64 by binary rewriting
retrage
2
200
How to Grow Your eCommerce with AI & Automation
katarinadahlin
PRO
1
160
Writing Fast Ruby
sferik
630
63k
Heart Work Chapter 1 - Part 1
lfama
PRO
5
35k
Navigating the Design Leadership Dip - Product Design Week Design Leaders+ Conference 2024
apolaine
0
260
Crafting Experiences
bethany
1
110
Evolving SEO for Evolving Search Engines
ryanjones
0
170
What does AI have to do with Human Rights?
axbom
PRO
1
2.1k
[RailsConf 2023] Rails as a piece of cake
palkan
59
6.4k
Ruling the World: When Life Gets Gamed
codingconduct
0
190
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
250
Transcript
Cooperative Multitasking with Twisted “Getting Things Done Concurrently” David Reid
<
[email protected]
>
Alternate Title
Alternate Title How I learned to stop worrying (about threads)
and use timed events to yield to the reactor so that synchronous tasks can cooperate with each other in a single thread.
Cooperative Multitasking
Cooperative Multitasking
Cooperative Multitasking
Cooperative Multitasking
Cooperative Multitasking
Cooperative Multitasking
Things will block
Fine in moderation
So what blocks?
Non-twisted networking
Non-twisted networking urllib & httplib smtplib python-memcached
Non-twisted networking twisted.web.client twisted.mail.smtp twisted.protocols.memcache
C Extensions
C Extensions DB-APIs: psycopg2, sqlite Hard math: PyCrypto socket.gethostbyname
C Extensions twisted.enterprise deferToThread deferToThread/twisted.names
File I/O
File I/O Yeah ... pretty much all of it.
The for loop.
def do_stuff(data): for x in data: do_work(x)
def do_stuff(data): for x in data: do_work(x)
Next: Introducing Twisted in 3 slides.
while true: stuff = wait_for_stuff(timeout) if stuff: check_reads_and_writes() run_timed_events() The
Reactor: Approximately
while true: stuff = wait_for_stuff(timeout) if stuff: check_reads_and_writes() run_timed_events() The
Reactor: Approximately
while true: stuff = wait_for_stuff(timeout) if stuff: check_reads_and_writes() run_timed_events() The
Reactor: Approximately
while true: stuff = wait_for_stuff(timeout) if stuff: check_reads_and_writes() run_timed_events() The
Reactor: Approximately
Deferreds Data Source result or failure Deferred
Deferreds Data Source result or failure Deferred res
Deferreds Data Source result or failure Deferred err
Deferreds Data Source result or failure Deferred
Deferreds Data Source result or failure Deferred err
Deferreds Data Source result or failure Deferred res
reactor.callLater
reactor.callLater reactor.callLater(10, do_stuff)
reactor.callLater reactor.callLater(0.001, do_stuff)
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
def do_stuff(data): d = Deferred() def do_later(): do_work(data.pop()) if not
data: d.callback(True) else: reactor.callLater(0.1, do_later) reactor.callLater(0.1, do_later) return d
twisted.internet.task.Cooperator
twisted.internet.task.Cooperator twisted.internet.task.coiterate
twisted.internet.task.Cooperator twisted.internet.task.coiterate twisted.internet.task.cooperate
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return coiterate(doterator())
• Similar to coiterate • Returns a CooperativeTask instead of
a Deferred cooperate
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator())
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
def do_stuff(data): def doterator(): for x in data: do_work(x) yield
None return cooperate(doterator()) task = do_stuff(someData) task_d = task.whenDone() task.pause() task.resume() task.stop()
• Your code is going to block. • Iterating over
stuff is a big place where synchronous code blocks for unacceptable periods of time. • Iterating is easily broken up by timed events. • Twisted comes with APIs for making this easy. • These APIs are the building blocks for your ideal task system.
Questions (Mine, not yours.)
Why?
Why? Being able to do more stuff is sometimes more
important than doing stuff quickly. * * Making a single user’s request 10ms faster is great, but not if you can only handle 1 request at a time.
Why call later instead of next iteration?
Why call later instead of next iteration? Timed events are
more flexible and you need them anyway.
Can’t I just use deferToThread for python code?
Can’t I just use deferToThread for python code? Yes, but
the GIL hates you.
Can’t I just use deferToThread for python code? Yes, but
the GIL hates you. It’s OK, it hates me too.
Can’t I just run code in a separate processes?
Can’t I just run code in a separate processes? Yes,
look at Ampoule.
Can’t I just run code in a separate processes? Yes,
look at Ampoule. But you probably want those processes to do more than one thing too.
This isn’t appropriate for my situation at all.
This isn’t appropriate for my situation at all. So don’t
do it.
This isn’t appropriate for my situation at all. So don’t
do it. Seriously.
SERIOUSLY.
• Twisted (http://twistedmatrix.com) • Ampoule (https://launchpad.net/ampoule) • txRDQ (https://launchpad.net/txrdq) •
Mochi Media (WE’RE HIRING) • http://mochimedia.com • http://bit.ly/mochi-jobs References