Path: csiph.com!usenet.pasdenom.info!dedibox.gegeweb.org!gegeweb.eu!nntpfeed.proxad.net!proxad.net!feeder1-2.proxad.net!news.tele.dk!news.tele.dk!small.news.tele.dk!newsgate.cistron.nl!newsgate.news.xs4all.nl!post.news.xs4all.nl!not-for-mail Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: OK 0.005 X-Spam-Evidence: '*H*': 0.99; '*S*': 0.00; 'python,': 0.02; '(so': 0.07; 'pypy': 0.07; 'python': 0.11; '>in': 0.16; 'concurrent': 0.16; 'example).': 0.16; 'from:addr:cs': 0.16; 'from:addr:zip.com.au': 0.16; 'from:name:cameron simpson': 0.16; 'message-id:@cskk.homeip.net': 0.16; 'mine.': 0.16; 'pry': 0.16; 'received:211.29': 0.16; 'received:211.29.132': 0.16; 'received:cskk.homeip.net': 0.16; 'received:homeip.net': 0.16; 'received:optusnet.com.au': 0.16; 'received:syd.optusnet.com.au': 0.16; 'simpson': 0.16; 'wrote:': 0.18; 'library': 0.18; 'seems': 0.21; 'load': 0.23; 'header:User-Agent:1': 0.23; 'cheers,': 0.24; 'options': 0.25; 'header:In-Reply-To:1': 0.27; 'related': 0.29; 'libraries': 0.31; "i'd": 0.34; 'tool': 0.35; 'test': 0.35; 'but': 0.35; 'really': 0.36; 'received:com.au': 0.36; 'charset:us-ascii': 0.36; 'received:211': 0.38; 'whatever': 0.38; 'to:addr:python- list': 0.38; 'to:addr:python.org': 0.39; 'enough': 0.39; 'how': 0.40; 'most': 0.60; 'new': 0.61; 'content-disposition:inline': 0.62; 'skip:n 10': 0.64; 'account': 0.65; 'believe': 0.68; 'bothered': 0.68; 'choose.': 0.84; 'loose': 0.84; 'have.': 0.93; 'imagine': 0.93 Date: Sat, 15 Nov 2014 17:29:48 +1100 From: Cameron Simpson To: python-list@python.org Subject: Re: Efficient Threading MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii; format=flowed Content-Disposition: inline In-Reply-To: User-Agent: Mutt/1.5.23 (2014-03-12) References: X-Optus-CM-Score: 0 X-Optus-CM-Analysis: v=2.1 cv=dMCfxopb c=1 sm=1 tr=0 a=YuQlxtEQCowy2cfE5kc7TA==:117 a=YuQlxtEQCowy2cfE5kc7TA==:17 a=ZtCCktOnAAAA:8 a=PO7r1zJSAAAA:8 a=J0QyKEt1u0cA:10 a=kj9zAlcOel0A:10 a=vrnE16BAAAAA:8 a=pGLkceISAAAA:8 a=ewt_Soum5ycpMXvlGWQA:9 a=CjuIK1q_8ugA:10 X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.15 Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Newsgroups: comp.lang.python Message-ID: Lines: 19 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1416032993 news.xs4all.nl 2940 [2001:888:2000:d::a6]:58262 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:80812 On 14Nov2014 18:42, Empty Account wrote: >I am thinking about writing a load test tool in Python, so I am interested >in how I can create the most concurrent threads/processes with the fewest >OS resources. I would imagine that I/O would need to be non-blocking. > >There are a number of options including standard library threading, gevent, >stackless python, cython parallelism etc. Because I am new to Python, I am >unsure on which libraries to choose. I am not really bothered on the tool >chain, just as long as it is Python related (so I'd use PyPy for example). The locust.io load test tool uses gevent and seems to like it. I do not know enough to make a recommendation myself, but I believe they use it for the same reasons you have. Cheers, Cameron Simpson Whatever is not nailed down is mine. What I can pry loose is not nailed down. - Collis P. Huntingdon