Path: csiph.com!v102.xanadu-bbs.net!xanadu-bbs.net!feeder.erje.net!eu.feeder.erje.net!newsfeed.xs4all.nl!newsfeed1.news.xs4all.nl!xs4all!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 0.030 X-Spam-Evidence: '*H*': 0.94; '*S*': 0.00; 'python,': 0.02; '(so': 0.07; 'pypy': 0.07; 'stackless': 0.09; 'python': 0.11; 'concurrent': 0.16; 'example).': 0.16; 'library': 0.18; 'load': 0.23; 'options': 0.25; 'related': 0.29; 'message- id:@mail.gmail.com': 0.30; 'libraries': 0.31; "i'd": 0.34; 'tool': 0.35; 'test': 0.35; 'received:google.com': 0.35; 'there': 0.35; 'really': 0.36; 'thanks': 0.36; 'hi,': 0.36; 'to:addr:python- list': 0.38; 'to:addr:python.org': 0.39; 'how': 0.40; 'most': 0.60; 'new': 0.61; 'skip:n 10': 0.64; 'bothered': 0.68; 'choose.': 0.84; 'imagine': 0.93 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:date:message-id:subject:from:to:content-type; bh=sxZeTVKlkOU0RkMD7fSGjXsYKr/zJo8g+R3i4t+1d9M=; b=MXtEXTtsZlkfRnCmStU34qdwEYiO87y/h4HQsd3qxwzvJRgfnZVG4TgC4a+HR/y6Q8 kOl7wbbnFkk5m2H2p7qHZiF05A5A/siId8Yerv/33LQMsnI+0ETR7afeWDK0z904kHuP eNcOLMDsCsvmnwkcqut1fba9V7s1UfGfL8O/wNFdh69zdwkHD+g3FYWXgwmsPY6FjKkb 6eWwYlyfRLnvTVm4iiC6wAydN7GF4zipL3cRrNyettBaZwjTEQKu6X/qf4WVgiRwRWkM ZwhSgwLC/7dbIoAcVNtJ0m7+f6PkB59u9SqZC1De9og5Hije+ZyFBwtLbALnsdhsOoTJ fGRQ== MIME-Version: 1.0 X-Received: by 10.60.67.233 with SMTP id q9mr9236276oet.30.1415990558852; Fri, 14 Nov 2014 10:42:38 -0800 (PST) Date: Fri, 14 Nov 2014 18:42:38 +0000 Subject: Efficient Threading From: Empty Account To: python-list@python.org Content-Type: multipart/alternative; boundary=001a11c30fbc44111b0507d5fea9 X-Mailman-Approved-At: Fri, 14 Nov 2014 20:22:27 +0100 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: 34 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1415992949 news.xs4all.nl 2977 [2001:888:2000:d::a6]:42395 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:80779 --001a11c30fbc44111b0507d5fea9 Content-Type: text/plain; charset=UTF-8 Hi, 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). Many Thanks Aidy --001a11c30fbc44111b0507d5fea9 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
Hi,=C2=A0

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.=C2=A0

Ther= e are a number of options including standard library threading, gevent, sta= ckless python, cython parallelism etc. Because I am new to Python, I am uns= ure on which libraries to choose. I am not really bothered on the tool chai= n, just as long as it is Python related (so I'd use PyPy for example).= =C2=A0

Many Thanks

Aidy
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