书中代码

http://www.highperfmysql.com/#downloads

mysql示例数据库

http://dev.mysql.com/doc/index-other.html

2.4 MySQL的BENCHMARK()函数

set @input = 'hello world';
select benchmark(1000000, md5(@input));
select benchmark(1000000, sha1(@input));

2.5.1 http_load

安装： install_http_load.sh

wget http://www.acme.com/software/http_load/http_load-12mar2006.tar.gz
tar xzvf http_load-12mar2006.tar.gz
cd http_load-12mar2006/
make && make install

测试：

http_load -p 1 -seconds 10 urls.txt
http_load -parallel 1 -seconds 10 -f 10 urls.txt

2.5.3 sysbench命令

#CPU test
sysbench --test=cpu --cpu-max-prime=20000 run



#IO test
sysbench --test=fileio --file-total-size=15G prepare
sysbench --test=fileio --file-total-size=15G --file-test-mode=rndrw --init-rng=on --max-time=300 --max-requests=0 run
sysbench --test=fileio --file-total-size=15G cleanup


#OLTP test
sysbench --test=oltp --mysql-db=test --db-driver=mysql --mysql-host=localhost --mysql-socket=/tmp/mysql.sock  --mysql-user=root --mysql-password=Master.123 --mysql-table-engine=innodb --oltp-table-size=1000000  prepare

sysbench --test=oltp --mysql-db=test --db-driver=mysql --mysql-host=localhost --mysql-socket=/tmp/mysql.sock  --mysql-user=root --mysql-password=Master.123 --mysql-table-engine=innodb --oltp-table-size=1000000  --max-time=60 --oltp-read-only=on --max-requests=0 --num-threads=8 run

2.5.5 Persona 的TCPP-MySQL测试工具

安装(在shell中执行)

 
wget https://github.com/Percona-Lab/tpcc-mysql 
unzip master.zip

#准备环境变量
export MYSQL_HOME=/usr/local/mysql/
export C_INCLUDE_PATH=$MYSQL_HOME/include
export PATH=$MYSQL_HOME/bin:$PATH
export LD_LIBRARY_PATH=$MYSQL_HOME/lib

cd tpcc-mysql-master/src
make all
cd ..

测试

查看数据库统计情况（自己总结的语句）

 
select TABLE_NAME, TABLE_ROWS,data_length/1024/1024 AS DATA_MB,index_length/1024/1024 as INDEX_MB ,(data_length+index_length)/1024/1024 as TOTAL_MB,TABLE_COLLATION   from information_schema.tables where table_schema='tpcc1000' order by TABLE_ROWS desc;

mysql示例数据库

3.3.2 剖析单条性能

使用SHOW PROFILE

在会话级别使用

set profiling = 1;
show profiles;
show profile for query 1;

以上是默认输出，若要手动则执行以下语句：

select state ,sum(duration) as total_r ,
      round(
        100 * sum(duration) /
          (select sum(duration)
           from information_schema.profiling
           where query_id = @query_id
        ),2 ) as pct_r ,
      count(*) as calls,
      sum(duration) / count(*) as "R/Call"
     from information_schema.profiling
     where query_id =  @query_id
     group by state
     order by total_r desc;

ShowProfile示例