MYSQL压力测试的新文章

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MySQL SQL 脚本 F#

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。