MySQL压力测试

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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。
--concurrency 并发量，也就是模拟多少个客户端同时执行select。可指定多个值，以逗号或者–delimiter参数指定的值做为分隔符。
--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(默认)）
--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 代表要输出一些调试相关信息。
--number-int-cols 自动生成的测试表中包含多少个数字类型的列，默认1。
--number-char-cols 自动生成的测试表中包含多少个字符类型的列，默认1。
--create-schema  测试的schema，MySQL中schema也就是database。
--query 使用自定义脚本执行测试，例如可以调用自定义的一个存储过程或者sql语句来执行测试。
--only-print 如果只想打印看看SQL语句是什么，可以用这个选项。
–commint=N  多少条DML后提交一次。
–compress, -C 如果服务器和客户端支持都压缩，则压缩信息传递。
–detach=N 执行N条语句后断开重连。


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 second
        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:

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
)

  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 (selecta.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 (selecta.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 (selecta.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 (selecta.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 (selecta.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 (selecta.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 (selecta.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 (selecta.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 (selecta.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 (selecta.aid from article as a  inner join (select cid from |
|3203 | root | %                  | t_girl             | Query   |     0| NULL               | deallocate prepares1                                                                               |

|3221 | root | %                  | t_girl             | Query   |     0| NULL               | select a.* from article as a inner join (selecta.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 (selecta.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 (selecta.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 (selecta.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 (selecta.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 (selecta.aid from article as a  inner join (select cid from |
+------+------+--------------------+--------------------+---------+-------+--------------------+------------------------------------------------------------------------------------------------------+
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。