Path: csiph.com!v102.xanadu-bbs.net!xanadu-bbs.net!feeder.erje.net!eu.feeder.erje.net!eweka.nl!lightspeed.eweka.nl!194.109.133.87.MISMATCH!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 0.024 X-Spam-Evidence: '*H*': 0.95; '*S*': 0.00; 'received:80.91': 0.09; 'received:80.91.229': 0.09; 'received:gmane.org': 0.09; 'received:list': 0.09; 'subject:files': 0.09; 'concur': 0.16; 'csv': 0.16; 'doing,': 0.16; 'opposite': 0.16; 'processes.': 0.16; 'received:80.91.229.3': 0.16; 'received:plane.gmane.org': 0.16; 'subject:CSV': 0.16; 'wrote:': 0.18; 'help.': 0.21; '>>>': 0.22; 'header:User-Agent:1': 0.23; 'case.': 0.24; 'tend': 0.24; 'header:X-Complaints-To:1': 0.27; 'point': 0.28; "i'm": 0.30; "d'aprano": 0.31; 'high.': 0.31; 'steven': 0.31; "they'll": 0.31; 'with,': 0.31; 'probably': 0.32; 'fri,': 0.33; 'possible.': 0.35; 'but': 0.35; 'there': 0.35; 'charset:us-ascii': 0.36; 'subject:?': 0.36; 'too': 0.37; 'received:99': 0.38; 'to:addr:python-list': 0.38; 'files': 0.38; 'anything': 0.39; 'expect': 0.39; 'to:addr:python.org': 0.39; 'received:org': 0.40; 'dave': 0.60; 'utilize': 0.61; "you're": 0.61; 'costs': 0.63; 'boost': 0.70; 'pain': 0.84; 'sides.': 0.84; 'angel': 0.91; '2013': 0.98 X-Injected-Via-Gmane: http://gmane.org/ To: python-list@python.org From: Dave Angel Subject: Re: Processing large CSV files - how to maximise throughput? Date: Fri, 25 Oct 2013 03:57:17 +0000 (UTC) References: <5269e6f6$0$29972$c3e8da3$5496439d@news.astraweb.com> Mime-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit X-Gmane-NNTP-Posting-Host: 99-43-76-189.lightspeed.hstntx.sbcglobal.net User-Agent: XPN/1.2.6 (Street Spirit ; Linux) 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: 31 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1382673461 news.xs4all.nl 15925 [2001:888:2000:d::a6]:43807 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:57494 On 24/10/2013 23:35, Steven D'Aprano wrote: > On Fri, 25 Oct 2013 02:10:07 +0000, Dave Angel wrote: > >>> If I have multiple large CSV files to deal with, and I'm on a >>> multi-core machine, is there anything else I can do to boost >>> throughput? >> >> Start multiple processes. For what you're doing, there's probably no >> point in multithreading. > > Since the bottleneck will probably be I/O, reading and writing data from > files, I expect threading actually may help. > > > We approach the tradeoff from opposite sides. I would use multiprocessing to utilize multiple cores unless the communication costs (between the processes) would get too high. They won't in this case. But I would concur -- probably they'll both give about the same speedup. I just detest the pain that multithreading can bring, and tend to avoid it if at all possible. -- DaveA