用mysqlslap对MySQL进行压力测试

阳光穿透心脏的1/2处 2022-08-24 04:22 217阅读 0赞

**用mysqlslap对MySQL进行压力测试**  
MySQL5.1地的确提供了好多有力的工具来帮助我们DBA进行数据库管理。  
现在看一下这个压力测试工具mysqlslap.  
关于他的选项手册上以及--help介绍的很详细。  
我解释一下一些常用的选项。  
这里要注意的几个选项：  
\--concurrency代表并发数量，多个可以用逗号隔开，当然你也可以用自己的分隔符隔开，这个时候要用到--delimiter开关。  
\--engines代表要测试的引擎，可以有多个，用分隔符隔开。  
\--iterations代表要运行这些测试多少次。  
\--auto-generate-sql 代表用系统自己生成的SQL脚本来测试。  
\--auto-generate-sql-load-type 代表要测试的是读还是写还是两者混合的（read,write,update,mixed）  
\--number-of-queries 代表总共要运行多少次查询。每个客户运行的查询数量可以用查询总数/并发数来计算。比如倒数第二个结果2=200/100。  
\--debug-info 代表要额外输出CPU以及内存的相关信息。  
\--number-int-cols 代表示例表中的INTEGER类型的属性有几个。  
\--number-char-cols 意思同上。  
\--create-schema 代表自己定义的模式（在MySQL中也就是库）。  
\--query 代表自己的SQL脚本。  
\--only-print 如果只想打印看看SQL语句是什么，可以用这个选项。  
  
现在来看一些我测试的例子。  
  
1、用自带的SQL脚本来测试。  
MySQL版本为5.1.23  
`[root@localhost ~]# mysqlslap --defaults-file=/usr/local/mysql-maria/my.cnf --concurrency=50,100,200 --iterations=1 --number-int-cols=4 --number-char-cols=35 --auto-generate-sql --auto-generate-sql-add-autoincrement --auto-generate-sql-load-type=mixed --engine=myisam,innodb --number-of-queries=200 --debug-info -uroot -p1 -S/tmp/mysql_3310.sock`  
  
Benchmark  
        Running for engine myisam  
        Average number of seconds to run all queries: 0.063 seconds  
        Minimum number of seconds to run all queries: 0.063 seconds  
        Maximum number of seconds to run all queries: 0.063 seconds  
        Number of clients running queries: 50  
        Average number of queries per client: 4  
  
Benchmark  
        Running for engine myisam  
        Average number of seconds to run all queries: 0.070 seconds  
        Minimum number of seconds to run all queries: 0.070 seconds  
        Maximum number of seconds to run all queries: 0.070 seconds  
        Number of clients running queries: 100  
        Average number of queries per client: 2  
  
Benchmark  
        Running for engine myisam  
        Average number of seconds to run all queries: 0.092 seconds  
        Minimum number of seconds to run all queries: 0.092 seconds  
        Maximum number of seconds to run all queries: 0.092 seconds  
        Number of clients running queries: 200  
        Average number of queries per client: 1  
  
Benchmark  
        Running for engine innodb  
        Average number of seconds to run all queries: 0.115 seconds  
        Minimum number of seconds to run all queries: 0.115 seconds  
        Maximum number of seconds to run all queries: 0.115 seconds  
        Number of clients running queries: 50  
        Average number of queries per client: 4  
  
Benchmark  
        Running for engine innodb  
        Average number of seconds to run all queries: 0.134 seconds  
        Minimum number of seconds to run all queries: 0.134 seconds  
        Maximum number of seconds to run all queries: 0.134 seconds  
        Number of clients running queries: 100  
        Average number of queries per client: 2  
  
Benchmark  
        Running for engine innodb  
        Average number of seconds to run all queries: 0.192 seconds  
        Minimum number of seconds to run all queries: 0.192 seconds  
        Maximum number of seconds to run all queries: 0.192 seconds  
        Number of clients running queries: 200  
        Average number of queries per client: 1  
  
  
User time 0.06, System time 0.15  
Maximum resident set size 0, Integral resident set size 0  
Non-physical pagefaults 5803, Physical pagefaults 0, Swaps 0  
Blocks in 0 out 0, Messages in 0 out 0, Signals 0  
Voluntary context switches 8173, Involuntary context switches 528  
  
  
我来解释一下结果的含义。  
拿每个引擎最后一个Benchmark示例。  
对于INNODB引擎，200个客户端同时运行这些SQL语句平均要花0.192秒。相应的MYISAM为0.092秒。  
  
2、用我们自己定义的SQL 脚本来测试。  
这些数据在另外一个MySQL实例上。版本为5.0.45  
先看一下这两个表的相关数据。  
1）、总记录数。  
`mysql> select table_rows as rows from information_schema.tables where table_schema='t_girl' and table_name='article'; +--------+ | rows   | +--------+ | 296693 | +--------+ 1 row in set (0.01 sec) mysql> select table_rows as rows from information_schema.tables where table_schema='t_girl' and table_name='category'; +------+ | rows | +------+ | 113  | +------+ 1 row in set (0.00 sec)`  
2）、总列数。  
`mysql> select count(*) as column_total from information_schema.columns where table_schema = 't_girl' and table_name = 'article'; +--------------+ | column_total | +--------------+ | 32           | +--------------+ 1 row in set (0.01 sec) mysql> select count(*) as column_total from information_schema.columns where table_schema = 't_girl' and table_name = 'category'; +--------------+ | column_total | +--------------+ | 9            | +--------------+ 1 row in set (0.01 sec)`  
  
3）、调用的存储过程  
``DELIMITER $$ DROP PROCEDURE IF EXISTS `t_girl`.`sp_get_article`$$ CREATE DEFINER=`root`@`%` PROCEDURE `sp_get_article`(IN f_category_id int,  IN f_page_size int, IN f_page_no int ) BEGIN   set @stmt = 'select a.* from article as a inner join ';   set @stmt = concat(@stmt,'(select a.aid from article as a ');   if f_category_id != 0 then     set @stmt = concat(@stmt,' inner join (select cid from category where cid = ',f_category_id,' or parent_id = ',f_category_id,') as b on a.category_id = b.cid');   end if;   if f_page_size >0 && f_page_no > 0 then     set @stmt = concat(@stmt,' limit ',(f_page_no-1)*f_page_size,',',f_page_size);   end if;     set @stmt = concat(@stmt,') as b on (a.aid = b.aid)');   prepare s1 from @stmt;   execute s1;   deallocate prepare s1;   set @stmt = NULL; END$$ DELIMITER ;``  
4）、我们用mysqlslap来测试  
以下得这个例子代表用mysqlslap来测试并发数为25,50,100的调用存储过程，并且总共调用5000次。  
`[root@localhost ~]# mysqlslap --defaults-file=/usr/local/mysql-maria/my.cnf --concurrency=25,50,100 --iterations=1 --query='call t_girl.sp_get_article(2,10,1);' --number-of-queries=5000 --debug-info -uroot -p -S/tmp/mysql50.sock`  
Enter password:  
Benchmark  
        Average number of seconds to run all queries: 3.507 seconds  
        Minimum number of seconds to run all queries: 3.507 seconds  
        Maximum number of seconds to run all queries: 3.507 seconds  
        Number of clients running queries: 25  
        Average number of queries per client: 200  
平均每个并发运行200个查询用了3.507秒。  
Benchmark  
        Average number of seconds to run all queries: 3.742 seconds  
        Minimum number of seconds to run all queries: 3.742 seconds  
        Maximum number of seconds to run all queries: 3.742 seconds  
        Number of clients running queries: 50  
        Average number of queries per client: 100  
  
Benchmark  
        Average number of seconds to run all queries: 3.697 seconds  
        Minimum number of seconds to run all queries: 3.697 seconds  
        Maximum number of seconds to run all queries: 3.697 seconds  
        Number of clients running queries: 100  
        Average number of queries per client: 50  
  
  
User time 0.87, System time 0.33  
Maximum resident set size 0, Integral resident set size 0  
Non-physical pagefaults 1877, Physical pagefaults 0, Swaps 0  
Blocks in 0 out 0, Messages in 0 out 0, Signals 0  
Voluntary context switches 27218, Involuntary context switches 3100  
  
  
看一下SHOW PROCESSLIST 结果  
mysql> show processlist;  
\+------+------+--------------------+--------------------+---------+-------+--------------------+------------------------------------------------------------------------------------------------------+  
| Id   | User | Host               | db                 | Command | Time  | State              | Info                                                                                                 |  
\+------+------+--------------------+--------------------+---------+-------+--------------------+------------------------------------------------------------------------------------------------------+  
…………  
| 3177 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3178 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3179 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3181 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3180 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3182 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3183 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3187 | root | %                  | t\_girl             | Query   |     0 | removing tmp table | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3186 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3194 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3203 | root | %                  | t\_girl             | Query   |     0 | NULL               | deallocate prepare s1                                                                                |  
…………  
| 3221 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3222 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3223 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3224 | root | %                  | t\_girl             | Query   |     0 | removing tmp table | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3225 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
| 3226 | root | %                  | t\_girl             | Query   |     0 | NULL               | select a.\* from article as a inner join (select a.aid from article as a  inner join (select cid from |  
\+------+------+--------------------+--------------------+---------+-------+--------------------+------------------------------------------------------------------------------------------------------+  
55 rows in set (0.00 sec)  
  
上面的测试语句其实也可以这样写

`[root@localhost ~]# mysqlslap --defaults-file=/usr/local/mysql-maria/my.cnf --concurrency=25,50,100 --iterations=1 --create-schema='t_girl' --query='call sp_get_article(2,10,1);' --number-of-queries=5000 --debug-info -uroot -p -S/tmp/mysql50.sock`

**小总结一下。**  
**mysqlslap对于模拟多个用户同时对MySQL发起“进攻”提供了方便。同时详细的提供了“高负荷攻击MySQL”的详细数据报告。**  
**而且如果你想对于多个引擎的性能。这个工具再好不过了。**

From:[http://blog.chinaunix.net/u/29134/showart\_970894.html][http_blog.chinaunix.net_u_29134_showart_970894.html]

[http_blog.chinaunix.net_u_29134_showart_970894.html]: http://blog.chinaunix.net/u/29134/showart_970894.html