-
-
Notifications
You must be signed in to change notification settings - Fork 96
/
benchmark.py
58 lines (50 loc) · 2.14 KB
/
benchmark.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
#! /usr/bin/env python
import commands
import os
import re
def do_ab_call(url,nthreads,reqs):
cmd="ab -k -c %d -n %d '%s'" % (nthreads,reqs,url)
print cmd
summary={}
ret = commands.getoutput(cmd)
sList = ret.split(os.linesep)
for i, line in enumerate(sList):
if re.match("Requests per second", line) is not None:
val = line.split()
summary['reqspersec']=val[3]
if re.match("Document Length", line) is not None:
val = line.split()
summary['size']=val[2]
return summary
base="http://localhost:8081"
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"
urls={}
nreqs=400
title="tile merging"
filebase=title
urls['tilecache']="%s/%s?%s" % (base,'tilecache',params)
urls['mapcache best compression']="%s/%s?%s" % (base,'mapcache-best',params)
urls['mapcache default compression']="%s/%s?%s" % (base,'mapcache-default',params)
urls['mapcache fast compression']="%s/%s?%s" % (base,'mapcache-fast',params)
urls['mapcache png quantization']="%s/%s?%s" % (base,'mapcache-pngq',params)
#urls['mapproxy']="http://localhost:8080/service?%s" % (params)
plotfile = open("%s.plot"%(filebase),"w")
datafile = open("%s.dat"%(filebase),"w")
plotfile.write("set terminal pdf\nset key autotitle columnhead\nset output \"%s.pdf\"\nset style data lines\n"%(filebase))
plotfile.write("set xlabel \"concurrent requests\"\n")
plotfile.write("set ylabel \"throughput (requests/sec)\"\n")
plotfile.write("set title \"%s\"\n"%(title))
count=0
for title,url in urls.iteritems():
if count == 0:
plotfile.write("plot \"%s.dat\" using 2:xticlabel(1) index 0"%(filebase))
else:
plotfile.write(",\"\" using 2 index %d"%(count))
count += 1
for nthreads in [1,2,3,4]:
reqs = min(nthreads,4) * nreqs
res = do_ab_call(url,nthreads,reqs)
if nthreads == 1:
datafile.write("\n\nthreads \"%s (%s bytes)\"\n"%(title,res['size']))
datafile.write("%d %s\n"%(nthreads,res['reqspersec']))
plotfile.write("\n")