QPS - query per second
TPS - transaction per second 不是特别关注,每个业务场景中事务标准是不一样的
Ⅰ、sysbench测试框架
Ⅱ、常用测试脚本
[root@VM_42_63_centos lua]# pwd
/usr/local/src/sysbench-master/src/lua
[root@VM_42_63_centos lua]# ll *.lua
-rwxr-xr-x 1 root root 1446 Jun 27 02:35 bulk_insert.lua
-rw-r--r-- 1 root root 1307 Jun 27 02:35 empty-test.lua
-rw-r--r-- 1 root root 14468 Jun 27 02:35 oltp_common.lua
-rwxr-xr-x 1 root root 1290 Jun 27 02:35 oltp_delete.lua
-rwxr-xr-x 1 root root 2415 Jun 27 02:35 oltp_insert.lua
-rwxr-xr-x 1 root root 1265 Jun 27 02:35 oltp_point_select.lua
-rwxr-xr-x 1 root root 1649 Jun 27 02:35 oltp_read_only.lua
-rwxr-xr-x 1 root root 1824 Jun 27 02:35 oltp_read_write.lua
-rwxr-xr-x 1 root root 1118 Jun 27 02:35 oltp_update_index.lua
-rwxr-xr-x 1 root root 1127 Jun 27 02:35 oltp_update_non_index.lua
-rwxr-xr-x 1 root root 1440 Jun 27 02:35 oltp_write_only.lua
-rw-r--r-- 1 root root 1631 Jun 27 02:35 prime-test.lua
-rwxr-xr-x 1 root root 1933 Jun 27 02:35 select_random_points.lua
-rwxr-xr-x 1 root root 2132 Jun 27 02:35 select_random_ranges.lua
Ⅲ、开搞
这个老版本好像有参数设置热数据的量什么的,现在最新版本不知道咋搞,就先将就直接弄吧,不管了
准备数据
[root@VM_42_63_centos lua]# sysbench --mysql-host=127.0.0.1 --mysql-port=3307 --mysql-db=sbtest --tables=10 --table-size=10000 --mysql-user=root --mysql-password=123 oltp_update_index.lua prepare
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
Creating table \'sbtest1\'...
Inserting 10000 records into \'sbtest1\'
Creating a secondary index on \'sbtest1\'...
Creating table \'sbtest2\'...
Inserting 10000 records into \'sbtest2\'
Creating a secondary index on \'sbtest2\'...
Creating table \'sbtest3\'...
Inserting 10000 records into \'sbtest3\'
Creating a secondary index on \'sbtest3\'...
...
开始测试
[root@VM_42_63_centos lua]# sysbench oltp_update_index.lua --mysql-host=127.0.0.1 --mysql-port=3307 --mysql-user=root --mysql-password=123 --threads=10 --time=120 --report-interval=10 run
sysbench 1.1.0 (using bundled LuaJIT 2.1.0-beta3)
Running the test with following options:
Number of threads: 10
Report intermediate results every 10 second(s)
Initializing random number generator from current time
Initializing worker threads...
Threads started!
[ 10s ] thds: 10 tps: 804.14 qps: 804.14 (r/w/o: 0.00/804.14/0.00) lat (ms,95%): 36.89 err/s: 0.00 reconn/s: 0.00
[ 20s ] thds: 10 tps: 647.70 qps: 647.70 (r/w/o: 0.00/647.70/0.00) lat (ms,95%): 35.59 err/s: 0.00 reconn/s: 0.00
[ 30s ] thds: 10 tps: 2220.50 qps: 2220.50 (r/w/o: 0.00/2220.50/0.00) lat (ms,95%): 18.28 err/s: 0.00 reconn/s: 0.00
[ 40s ] thds: 10 tps: 4566.59 qps: 4566.59 (r/w/o: 0.00/4566.59/0.00) lat (ms,95%): 2.71 err/s: 0.00 reconn/s: 0.00
[ 50s ] thds: 10 tps: 4194.30 qps: 4194.30 (r/w/o: 0.00/4194.30/0.00) lat (ms,95%): 7.30 err/s: 0.00 reconn/s: 0.00
[ 60s ] thds: 10 tps: 4717.91 qps: 4717.91 (r/w/o: 0.00/4717.91/0.00) lat (ms,95%): 2.76 err/s: 0.00 reconn/s: 0.00
...
看结果,这里就不解释了,比较简单,随便看看就好
SQL statistics:
queries performed:
read: 0
write: 665574
other: 0
total: 665574
transactions: 665574 (5546.21 per sec.)
queries: 665574 (5546.21 per sec.)
ignored errors: 0 (0.00 per sec.)
reconnects: 0 (0.00 per sec.)
Throughput:
events/s (eps): 5546.2076
time elapsed: 120.0052s
total number of events: 665574
Latency (ms):
min: 0.27
avg: 1.80
max: 123.45
95th percentile: 2.43
sum: 1199263.13
Threads fairness:
events (avg/stddev): 66557.4000/209.28
execution time (avg/stddev): 119.9263/0.00