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  • Committer: Package Import Robot
  • Author(s): Bas Couwenberg
  • Date: 2013-09-11 19:16:06 UTC
  • Revision ID: package-import@ubuntu.com-20130911191606-9aydo919w4dgjx9v
Tags: upstream-1.2.0
Import upstream version 1.2.0

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benchmark.py
 
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#! /usr/bin/env python
 
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import commands
 
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import os
 
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import re
 
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def do_ab_call(url,nthreads,reqs):
 
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    cmd="ab -k -c %d -n %d '%s'" % (nthreads,reqs,url)
 
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    print cmd
 
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    summary={}
 
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    ret = commands.getoutput(cmd)
 
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    sList = ret.split(os.linesep)
 
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    for i, line in enumerate(sList):
 
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        if re.match("Requests per second", line) is not None:
 
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            val = line.split()
 
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            summary['reqspersec']=val[3]
 
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        if re.match("Document Length", line) is not None:
 
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            val = line.split()
 
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            summary['size']=val[2]
 
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    return summary
 
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base="http://localhost:8081"
 
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params="LAYERS=test,test3&FORMAT=image%2Fpng&SERVICE=WMS&VERSION=1.1.1&REQUEST=GetMap&STYLES=&EXCEPTIONS=application%2Fvnd.ogc.se_inimage&SRS=EPSG%3A4326&BBOX=-2.8125,47.8125,0,50.625&WIDTH=256&HEIGHT=256"
 
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urls={}
 
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nreqs=400
 
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title="tile merging"
 
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filebase=title
 
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urls['tilecache']="%s/%s?%s" % (base,'tilecache',params)
 
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urls['mapcache best compression']="%s/%s?%s" % (base,'mapcache-best',params)
 
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urls['mapcache default compression']="%s/%s?%s" % (base,'mapcache-default',params)
 
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urls['mapcache fast compression']="%s/%s?%s" % (base,'mapcache-fast',params)
 
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urls['mapcache png quantization']="%s/%s?%s" % (base,'mapcache-pngq',params)
 
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#urls['mapproxy']="http://localhost:8080/service?%s" % (params)
 
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plotfile = open("%s.plot"%(filebase),"w")
 
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datafile = open("%s.dat"%(filebase),"w")
 
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plotfile.write("set terminal pdf\nset key autotitle columnhead\nset output \"%s.pdf\"\nset style data lines\n"%(filebase))
 
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plotfile.write("set xlabel \"concurrent requests\"\n")
 
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plotfile.write("set ylabel \"throughput (requests/sec)\"\n")
 
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plotfile.write("set title \"%s\"\n"%(title))
 
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count=0
 
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for title,url in urls.iteritems():
 
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    if count == 0:
 
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        plotfile.write("plot \"%s.dat\" using 2:xticlabel(1) index 0"%(filebase))
 
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    else:
 
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        plotfile.write(",\"\" using 2 index %d"%(count))
 
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    count += 1
 
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    for nthreads in [1,2,3,4]:
 
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        reqs = min(nthreads,4) * nreqs
 
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        res = do_ab_call(url,nthreads,reqs)
 
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        if nthreads == 1:
 
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            datafile.write("\n\nthreads \"%s (%s bytes)\"\n"%(title,res['size']))
 
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        datafile.write("%d %s\n"%(nthreads,res['reqspersec']))
 
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plotfile.write("\n")
 
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