tokyo
cabinet
: 下载 wget
http://1978th.net/tokyocabinet/tokyocabinet-1.4.36.tar.gz
依靠
包:
zlib:
sudo apt-get install zlib1g-dev
bzip2:
sudo apt-get install libbz2-dev
安装:
tar
zxvf tokyocabinet-1.4.36.tar.gz
cd
tokyocabinet-1.4.36
./configure
make
sudo
make install
tokyo tyrant
: 下载 wget
http://1978th.net/tokyotyrant/tokyotyrant-1.1.37.tar.gz
安装:
tar
zxvf tokyotyrant-1.1.37.tar.gz
cd
tokyotyrant-1.1.37
./configure
make
sudo
make install
运行tokyo
tyrant
ttserver
-dmn -pid /home/mk2/ttserver/tt.pid -log
/home/mk2/ttserver/tt.log -le -ulog /home/mk2/ttserver/ -ulim 128m
/home/mk2/ttserver/data.tcb#bnum=100000
#
tcb: b+ tree格式, 在内存中缓存最热门的10w条查询
更改执行权限:sudo chmod a+x pytyrant.py
运行pytyrant.py
,
代码在: http://code.google.com/p/pytyrant/source/browse/trunk/pytyrant.py
没有任
何异常输出? 那就成功了!!!
与
memcache对比测试
benchmark.py:
!/usr/bin/envpython
#
-*-coding:utf-8-*-
"""
benchmarktestforpytyrant
"""
import
time
import
threading
import
memcache
import
pytyrant
class
worker(threading.thread):
def
__init__
(self,index,bench,count
=
1000
):
self._count
=
count
self._bench
=
bench
self._index
=
index
super(worker,self).
__init__
()
def
run(self):
self._bench(self._count,self.show)
def
show(self,s):
print
'
thread%d
'
%
self._index,s
def
_benchmark_threads(bench,count,threads):
print
'
-
'
*
80
print
'
%s:%dthreads,%dtimes
'
%
(bench.
__name__
,threads,count)
ts
=
[]
for
i
in
range(threads):
t
=
worker(i,bench,count
/
threads)
ts.append(t)
t.start()
for
t
in
ts:
t.join()
def
show(s):
print
s
#
onethreadset
def
set_benchmark(count
=
100000
,display
=
show):
mem
=
memcache.client([
'
127.0.0.1:11211
'
])
tt
=
pytyrant.pytyrant.open(
'
127.0.0.1
'
,
1978
)
start
=
time.time()
for
i
in
xrange(count):
mem.set(
'
key_%d
'
%
i,
'
value_%d
'
%
i)
if
display:
display(
'
memcache%dset:%s
'
%
(count,time.time()
-
start))
start
=
time.time()
for
i
in
xrange(count):
tt[
'
key_%d
'
%
i]
=
'
value_%d
'
%
i
if
display:
display(
'
tokyotyrant%dset:%s
'
%
(count,time.time()
-
start))
def
set_benchmark_threads(count
=
100000
,threads
=
20
):
_benchmark_threads(set_benchmark,count,threads)
#
onethreadget
def
get_benchmark(count
=
100000
,display
=
show):
mem
=
memcache.client([
'
127.0.0.1:11211
'
])
tt
=
pytyrant.pytyrant.open(
'
127.0.0.1
'
,
1978
)
start
=
time.time()
for
i
in
xrange(count):
assert
mem.get(
'
key_%d
'
%
i)
==
'
value_%d
'
%
i
display(
'
memcache%dget:%s
'
%
(count,time.time()
-
start))
start
=
time.time()
for
i
in
xrange(count):
assert
tt[
'
key_%d
'
%
i]
==
'
value_%d
'
%
i
display(
'
tokyotyrant%dget:%s
'
%
(count,time.time()
-
start))
def
get_benchmark_threads(count
=
100000
,threads
=
20
):
_benchmark_threads(get_benchmark,count,threads)
#
onethreadgetallmiss
def
get_miss_benchmark(count
=
100000
,display
=
show):
mem
=
memcache.client([
'
127.0.0.1:11211
'
])
tt
=
pytyrant.pytyrant.open(
'
127.0.0.1
'
,
1978
)
start
=
time.time()
for
i
in
xrange(count):
assert
mem.get(
'
key_%d_miss
'
%
i)
is
none
display(
'
memcache%dgetmiss:%s
'
%
(count,time.time()
-
start))
start
=
time.time()
for
i
in
xrange(count):
assert
tt.get(
'
key_%d_miss
'
%
i,none)
is
none
display(
'
tokyotyrant%dgetmiss:%s
'
%
(count,time.time()
-
start))
def
get_miss_benchmark_threads(count
=
100000
,threads
=
20
):
_benchmark_threads(get_miss_benchmark,count,threads)
if
__name__
==
'
__main__
'
:
print
'
onethreads
'
print
'
set_benchmark
'
set_benchmark()
print
'
-
'
*
80
print
'
get_benchmark
'
get_benchmark()
print
'
-
'
*
80
print
'
get_miss_benchmark
'
get_miss_benchmark()
set_benchmark_threads()
get_benchmark_threads()
get_miss_benchmark_threads()
测试输
出:
one
threads
set_benchmark
memcache 100000 set: 10.5929949284
tokyo
tyrant 100000 set: 9.69395589828
--------------------------------------------------------------------------------
get_benchmark
memcache
100000 get: 10.9661550522
tokyo tyrant 100000 get: 11.5382130146
--------------------------------------------------------------------------------
get_miss_benchmark
memcache
100000 get miss: 9.16992592812
tokyo tyrant 100000 get miss:
10.9790480137
--------------------------------------------------------------------------------
set_benchmark:
20 threads, 100000 times
thread 5 memcache 5000 set: 9.16596198082
thread
1 memcache 5000 set: 9.2044479847
thread 2 memcache 5000 set:
9.5196750164
thread 10 memcache 5000 set: 9.78295493126
thread 9
memcache 5000 set: 10.1644408703
thread 8 memcache 5000 set:
10.2827599049
thread 3 memcache 5000 set: 10.3494279385
thread 18
memcache 5000 set: 10.5312678814
thread 14 memcache 5000 set:
10.5295097828
thread 13 memcache 5000 set: 10.5583910942
thread 6
memcache 5000 set: 10.64412117
thread 11 memcache 5000 set:
10.7909929752
thread 7 memcache 5000 set: 10.8441131115
thread 12
memcache 5000 set: 10.9090180397
thread 16 memcache 5000 set:
10.9221849442
thread 4 memcache 5000 set: 10.9808840752
thread 17
memcache 5000 set: 11.0821311474
thread 0 memcache 5000 set:
11.135324955
thread 15 memcache 5000 set: 11.2227208614
thread 19
memcache 5000 set: 11.4754559994
thread 2 tokyo tyrant 5000 set:
7.76640605927
thread 5 tokyo tyrant 5000 set: 8.22156119347
thread
1 tokyo tyrant 5000 set: 8.40494203568
thread 10 tokyo tyrant 5000
set: 7.92209196091
thread 9 tokyo tyrant 5000 set: 7.55454802513
thread
18 tokyo tyrant 5000 set: 7.27255797386
thread 8 tokyo tyrant 5000
set: 7.63895893097
thread 11 tokyo tyrant 5000 set: 7.13767504692
thread
13 tokyo tyrant 5000 set: 7.42961502075
thread 14 tokyo tyrant 5000
set: 7.43208909035
thread 6 tokyo tyrant 5000 set: 7.3564889431
thread
15 tokyo tyrant 5000 set: 6.79607892036
thread 17 tokyo tyrant 5000
set: 6.93887209892
thread 3 tokyo tyrant 5000 set: 7.68552422523
thread
12 tokyo tyrant 5000 set: 7.12319302559
thread 16 tokyo tyrant 5000
set: 7.10764598846
thread 0 tokyo tyrant 5000 set: 6.90239214897
thread
7 tokyo tyrant 5000 set: 7.22372317314
thread 4 tokyo tyrant 5000
set: 7.10077404976
thread 19 tokyo tyrant 5000 set: 6.64217996597
--------------------------------------------------------------------------------
get_benchmark:
20 threads, 100000 times
thread 6 memcache 5000 get: 8.76900911331
thread
18 memcache 5000 get: 8.84009003639
thread 17 memcache 5000 get:
8.86155486107
thread 5 memcache 5000 get: 8.91267108917
thread 13
memcache 5000 get: 8.92148303986
thread 0 memcache 5000 get:
8.98046302795
thread 19 memcache 5000 get: 8.98061203957
thread 16
memcache 5000 get: 8.99304008484
thread 11 memcache 5000 get:
9.07233214378
thread 1 memcache 5000 get: 9.09262895584
thread 14
memcache 5000 get: 9.11016702652
thread 4 memcache 5000 get:
9.11597895622
thread 3 memcache 5000 get: 9.1481218338
thread 12
memcache 5000 get: 9.20062994957
thread 10 memcache 5000 get:
9.2384750843
thread 2 memcache 5000 get: 9.27785277367
thread 8
memcache 5000 get: 9.27573204041
thread 9 memcache 5000 get:
9.32341504097
thread 7 memcache 5000 get: 9.40595293045
thread 15
memcache 5000 get: 9.44804811478
thread 6 tokyo tyrant 5000 get:
6.73215508461
thread 0 tokyo tyrant 5000 get: 6.55519604683
thread
17 tokyo tyrant 5000 get: 6.68555307388
thread 5 tokyo tyrant 5000
get: 6.64170980453
thread 11 tokyo tyrant 5000 get: 6.53203821182
thread
12 tokyo tyrant 5000 get: 6.41466784477
thread 4 tokyo tyrant 5000
get: 6.51224589348
thread 2 tokyo tyrant 5000 get: 6.35708498955
thread
14 tokyo tyrant 5000 get: 6.54695796967
thread 19 tokyo tyrant 5000
get: 6.67935991287
thread 16 tokyo tyrant 5000 get: 6.67978215218
thread
18 tokyo tyrant 5000 get: 6.83982586861
thread 13 tokyo tyrant 5000
get: 6.78410601616
thread 3 tokyo tyrant 5000 get: 6.55975389481
thread
9 tokyo tyrant 5000 get: 6.38529014587
thread 8 tokyo tyrant 5000
get: 6.4428050518
thread 7 tokyo tyrant 5000 get: 6.31911993027
thread
10 tokyo tyrant 5000 get: 6.496737957
thread 15 tokyo tyrant 5000
get: 6.28649902344
thread 1 tokyo tyrant 5000 get: 6.65115785599
--------------------------------------------------------------------------------
get_miss_benchmark:
20 threads, 100000 times
thread 10 memcache 5000 get miss:
7.05730509758
thread 9 memcache 5000 get miss: 7.05415606499
thread
3 memcache 5000 get miss: 7.1769759655
thread 16 memcache 5000 get
miss: 7.19843101501
thread 13 memcache 5000 get miss: 7.26215600967
thread
7 memcache 5000 get miss: 7.26590704918
thread 19 memcache 5000 get
miss: 7.27665185928
thread 12 memcache 5000 get miss: 7.35561084747
thread
17 memcache 5000 get miss: 7.46251511574
thread 18 memcache 5000 get
miss: 7.48763084412
thread 14 memcache 5000 get miss: 7.50556397438
thread
5 memcache 5000 get miss: 7.57047796249
thread 4 memcache 5000 get
miss: 7.56979203224
thread 1 memcache 5000 get miss: 7.61345601082
thread
11 memcache 5000 get miss: 7.60594892502
thread 6 memcache 5000 get
miss: 7.63839101791
thread 2 memcache 5000 get miss: 7.65122389793
thread
0 memcache 5000 get miss: 7.70662999153
thread 8 memcache 5000 get
miss: 7.72461605072
thread 15 memcache 5000 get miss: 7.73385190964
thread
9 tokyo tyrant 5000 get miss: 6.74626517296
thread 3 tokyo tyrant
5000 get miss: 6.66942286491
thread 10 tokyo tyrant 5000 get miss:
6.8257830143
thread 16 tokyo tyrant 5000 get miss: 6.69402313232
thread
13 tokyo tyrant 5000 get miss: 6.63183093071
thread 12 tokyo tyrant
5000 get miss: 6.5411028862
thread 7 tokyo tyrant 5000 get miss:
6.66564011574
thread 19 tokyo tyrant 5000 get miss: 6.70229697227
thread
17 tokyo tyrant 5000 get miss: 6.54302000999
thread 4 tokyo tyrant
5000 get miss: 6.44842004776
thread 1 tokyo tyrant 5000 get miss:
6.44668984413
thread 14 tokyo tyrant 5000 get miss: 6.57335805893
thread
18 tokyo tyrant 5000 get miss: 6.58749604225
thread 5 tokyo tyrant
5000 get miss: 6.51425504684
thread 15 tokyo tyrant 5000 get miss:
6.35351395607
thread 11 tokyo tyrant 5000 get miss: 6.48207402229
thread
8 tokyo tyrant 5000 get miss: 6.37408590317
thread 0 tokyo tyrant
5000 get miss: 6.39541912079
thread 6 tokyo tyrant 5000 get miss:
6.46143507957
thread 2 tokyo tyrant 5000 get miss: 6.46356105804
由上面
输出可以看到,tokyo tyrant并不比memcache性能差太多(可能是memcache.py有性能问题)。
在多线
(进)程环境下,memcache表现并不好,而tokyo tyrant有明显的性能提高。
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