CentOS7安装使用MySQL

安装MySQL

添加mysql源

# rpm -Uvh http://repo.mysql.com//mysql57-community-release-el7-7.noarch.rpm

安装mysql

# yum -y install mysql-community-server

启动mysql并设置为开机自启动服务

# chkconfig mysqld on
# service mysqld start

检查mysql服务状态

# service mysqld status

第一次启动mysql，会在日志文件中生成root用户的一个随机密码，使用下面命令查看该密码

# grep 'temporary password' /var/log/mysqld.log

修改root用户密码

# mysql -u root -p -h localhost
Enter password:

mysql> ALTER USER 'root'@'localhost' IDENTIFIED BY 'Mysql-2016';

创建数据库（数据库名为：crashcourse）

mysql> create database crashcourse;

使用crashcourse数据库

mysql> use crashcourse;

执行sql脚本（使用source命令）

mysql> source /root/MySQLCrashCourse/create.sql;
mysql> source /root/MySQLCrashCourse/populate.sql;

查看可用数据库的列表

mysql> show databases;

查看当前数据库内可用表的列表

mysql> show tables;

显示表列（表名：customers）

mysql> show columns from customers;

显示服务器错误或警告消息

mysql> show errors;
mysql> show warnings;

检索数据

检索单个列

mysql> select prod_name from products;

检索多个列

mysql> select prod_id, prod_name, prod_price from products;

检索所有列（除非你确实需要表中的每个列，否则最好别使用*通配符，因为会降低应用程序的性能）

mysql> select * from products;

检索不同的行（使用distinct关键字）

mysql> select distinct vend_id from products;

限制结果

返回不多于5行
mysql> select prod_name from products limit 5;
检索的开始行和行数
mysql> select prod_name from products limit 5,5;

使用完全限定的表名

mysql> select products.prod_name from crashcourse.products;

排序检索数据

排序数据

mysql> select prod_name from products order by prod_name;

按多个列排序

mysql> select prod_id, prod_price, prod_name from products order by prod_price, prod_name;

指定排序方向（使用desc关键字，desc为倒序，默认是asc，正序）

mysql> select prod_id, prod_price, prod_name from products order by prod_price desc;

使用order by和limit的组合

mysql> select prod_price from products order by prod_price desc limit 1;

过滤数据

检索单个值

mysql> select prod_name, prod_price from products where prod_name = 'fuses';

不匹配检查

mysql> select vend_id, prod_name from products where vend_id != 1003;

范围值检查

mysql> select prod_name, prod_price from products where prod_price between 5 and 10;

空值检查

mysql> select prod_name from products where prod_price is null;

数据过滤

and操作符

mysql> select prod_id, prod_price, prod_name from products where vend_id = 1003 and prod_price <= 10;

or操作符

mysql> select prod_name, prod_price from products where vend_id = 1003 or prod_id = 1003;

计算次序

mysql> select prod_name, prod_price from products where (vend_id = 1002 or vend_id = 1003) and prod_price >= 10;

in操作符

mysql> select prod_name, prod_price from products where vend_id in (1002,1003) order by prod_name;

not操作符

mysql> select prod_name, prod_price from products where vend_id not in (1002,1003) order by prod_name;

用通配符进行过滤

百分号（%）通配符（匹配0,1或多个字符）

mysql> select prod_id, prod_name from products where prod_name like 'jet%';

下划线（_）通配符（匹配1个字符）

mysql> select prod_id, prod_name from products where prod_name like '_ ton anvil';

用正则表达式进行搜索

基本字符匹配

mysql> select prod_name from products where prod_name regexp '.000' order by prod_name;

进行or匹配

mysql> select prod_name from products where prod_name regexp '1000|2000' order by prod_name;

匹配范围

mysql> select prod_name from products where prod_name regexp '[1-5] Ton' order by prod_name;

匹配特殊字符（使用\\进行转义）

mysql> select vend_name from vendors where vend_name regexp '\\.' order by vend_name;

匹配字符类

mysql> select prod_name from products where prod_name regexp '[[:digit:]]{4}' order by prod_name;

匹配多个实例

mysql> select prod_name from products where prod_name regexp '\\([0-9] sticks?\\)' order by prod_name;

定位符（^, $, [[:<:]], [[:>:]]）

mysql> select prod_name from products where prod_name regexp '^[0-9\\.]' order by prod_name;

创建计算字段

拼接字段

mysql> select concat(vend_name, ' (', vend_country, ')') from vendors order by vend_name;

使用别名

mysql> select concat(rtrim(vend_name), ' (', rtrim(vend_country), ')') as vend_title from vendors order by vend_name;

执行算术计算

mysql> select prod_id, quantity, item_price, quantity*item_price as expanded_price from orderitems where order_num = 20005;

使用数据处理函数

文本处理函数

mysql> select vend_name, upper(vend_name) as vend_name_upcase from vendors order by vend_name;
mysql> select cust_name, cust_contact from customers where soundex(cust_contact) = soundex('Y Lie');

日期和时间处理函数

mysql> select cust_id, order_num from orders where date(order_date) between '2005-09-01' and '2005-09-30';
mysql> select cust_id, order_num from orders where year(order_date) = 2005 and month(order_date) = 9;

汇总数据

avg()函数

mysql> select avg(prod_price) as avg_price from products;

count()函数

mysql> select count(*) as num_cust from customers;

max()函数

mysql> select max(prod_price) as max_price from products;

min()函数

mysql> select min(prod_price) as min_price from products;

sum()函数

mysql> select sum(quantity) as items_ordered from orderitems where order_num = 20005;
mysql> select sum(item_price*quantity) as total_price from orderitems where order_num = 20005;

聚合不同的值

mysql> select avg(distinct prod_price) as avg_price from products where vend_id = 1003;

组合聚集函数

mysql> select count(*) as num_items, min(prod_price) as price_min, max(prod_price) as price_max, avg(prod_price) as price_avg from products;

分组数据

创建分组

mysql> select vend_id, count(*) as num_prods from products group by vend_id;

过滤分组（使用having关键字）

mysql> select cust_id, count(*) as orders from orders group by cust_id having count(*) >= 2;
mysql> select vend_id, count(*) as num_prods from products where prod_price >= 10 group by vend_id having count(*) >= 2;

分组和排序

mysql> select order_num, sum(quantity*item_price) as ordertotal
from orderitems
group by order_num
having sum(quantity*item_price) >= 50
order by ordertotal;

使用子查询

利用子查询进行过滤

mysql> select cust_name, cust_contact
from customers
where cust_id in (select cust_id
from orders
where order_num in (select order_num
from orderitems
where prod_id = 'TNT2'));

作为计算字段使用子查询

mysql> select cust_name, cust_state,
(select count(*)
from orders
where orders.cust_id = customers.cust_id) as orders
from customers
order by cust_name;

联结表

创建联结

mysql> select vend_name, prod_name, prod_price
from vendors, products
where vendors.vend_id = products.vend_id
order by vend_name, prod_name;

内部联结

mysql> select vend_name, prod_name, prod_price
from vendors inner join products
on vendors.vend_id = products.vend_id;

联结多个表

mysql> select cust_name, cust_contact
from customers, orders, orderitems
where customers.cust_id = orders.cust_id
and orderitems.order_num = orders.order_num
and prod_id = 'TNT2';

创建高级联结

使用别名

mysql> select cust_name, cust_contact
from customers as c, orders as o, orderitems as oi
where c.cust_id = o.cust_id
and oi.order_num = o.order_num
and prod_id = 'TNT2';

自然联结

mysql> select c.*, o.order_num, o.order_date, oi.prod_id, oi.quantity, oi.item_price
from customer as c, orders as o, orderitems as oi
where c.cust_id = o.cust_id
and oi.order_num = o.order_num
and prod_id = 'FB';

外部联结

mysql> select customers.cust_id, orders.order_num
from customers left join orders
on customers.cust_id = orders.cust_id;

使用带聚集函数的联结

mysql> select customers.cust_name, customers.cust_id,
count(orders.order_num) as num_ord
from customers inner join orders
on customers.cust_id = orders.cust_id
group by customers.cust_id;

组合查询

使用union

mysql> select vend_id, prod_id, prod_price
from products
where prod_price <= 5
union
select vend_id, prod_id, prod_price
from products
where vend_id in (1001,1002);

包含重复的行（使用union all命令）

mysql> select vend_id, prod_id, prod_price
from products
where prod_peice <= 5
union all
select vend_id, prod_id, prod_price
from products
where vend_id in (1001,1002);

对组合查询结果排序

mysql> select vend_id, prod_id, prod_price
from products
where prod_price <=5
union
select vend_id, prod_id, prod_price
from products
where vend_id in (1001,1002)
order by vend_id, prod_price;

全文搜索

仅在MyISAM数据库引擎中支持全文搜索，一般在创建表时启用全文搜索

CREATE TABLE productnotes
(
note_id      int          NOT NULL  AUTO_INCREMENT,
prod_id      char(10)       NOT NULL,
note_date  datetime      NOT NULL,
note_text   text             NULL,
PRIMARY KEY(note_id),
FULLTEXT(note_text)
) ENGINE=MyISAM;

进行全文本搜索

mysql> select note_text
from productnotes
where match(note_text) against('rabbit');

使用查询扩展

mysql> select note_text
from productnotes
where match(note_text) against('anvils' with query expansion);

布尔文本搜索

mysql> select note_text
from productnotes
where match(note_text) against('heavy' in boolean mode);

为匹配包含heavy但不包含任意以rope开始的词的行

mysql> select note_text
from productnotes
where match(note_text) against('heavy -rope*' in boolean mode);

插入数据

插入完整的行

mysql> insert into customers(cust_name,
cust_contact,
cust_email,
cust_address,
cust_city,
cust_state,
cust_zip,
cust_country)
values('Pep E. LaPew',
Null,
Null,
'100 Main Street',
'Los Angeles',
'CA',
'90046',
'USA');

插入多个行

mysql> insert into customers(cust_name,
cust_address,
cust_city,
cust_state,
cust_zip,
cust_country)
values(
'Pep E. LaPew',
'100 Main Street',
'Logs Angeles',
'CA',
'90046',
'USA'
),
(
'M. Martian',
'42 Galaxy Way',
'New York',
'NY',
'11213',
'USA'
);

插入检索出的数据

mysql> insert into customers(cust_id,
cust_contact,
cust_email,
cust_name,
cust_address,
cust_city,
cust_state,
cust_zip,
cust_country)
select cust_id,
cust_contact,
cust_email,
cust_name,
cust_address,
cust_city,
cust_state,
cust_zip,
cust_country
from custnew;

更新和删除数据

更新数据

mysql> update customers
set cust_name = 'The Fudds',
cust_email = 'elmer@fudd.com'
where cust_id = 10005;

删除数据

mysql> delete from customers
where cust_id = 10006;

创建和操纵表

创建表

mysql> create table customers(
cust_id            int        NOT NULL AUTO_INCREMENT,
cust_name     char(50)      NOT NULL,
cust_address   char(50)     NULL,
cust_city         char(50)     NULL,
cust_state       char(5)       NULL,
char_zip          char(10)     NULL,
char_country   char(50)    NULL,
char_contact    char(50)    NULL,
char_email      char(255)   NULL,
PRIMARY KEY (cust_id)
) ENGINE=InnoDB;

指定默认值

mysql> create table orderitems(
order_num    int                NOT NULL,
order_item    int                NOT NULL,
prod_id         char(10)        NOT NULL,
quantity        int                 NOT NULL   DEFAULT  1,
item_price    decimal(8,2)   NOT NULL,
PRIMARY KEY (order_num, order_item)
) ENGINE=InnoDB;

引擎类型

InnoDB是一个可靠的事务处理引擎。
MEMORY在功能上等同于MyISAM，但是数据存储在内存中，速度很快。
MyISAM是性能极高的引擎，支持全文搜索，但不支持事务处理。

更新表

给表添加一列：

mysql> alter table vendors
add vend_phone char(20);

删除刚刚添加的列：

mysql> alter table vendors
drop column vend_phone;

ALTER TABLE的一种常见用途是定义外键：

mysql> alter table orderitems
add constraint fk_orderitems_orders
foreign key (order_num) references orders (order_num);

mysql> alter table orderitems
add constraint fk_orderitems_products
foreign key (prod_id) references products (prod_id);

mysql> alter table orders
add constraint fk_orders_customers
foreign key (cust_id) references customers (cust_id);

mysql> alter table products
add constraint fk_products_vendors
foreign key (vend_id) references vendors (vend_id);

删除表

mysql> drop table customers2;

重命名表

mysql> rename table customers2 to customers;

对多个表重命名

mysql> rename table backup_customers to customers,
backup_vendors to vendors,
backup_products to products;

使用视图

利用视图简化复杂的联结

mysql> create view productcustomers as
select cust_name, cust_contact, prod_id
from customers, orders, orderitems
where customers.cust_id = orders.cust_id
and orderitems.order_num = orders.order_num;

用视图重新格式化检索出的数据

mysql> create view vendorlocations as
　　select concat(rtrim(vend_name), ' (', rtrim(vend_country), ')')
as vend_title
from vendors
order by vend_name;

用视图过滤不想要的数据

mysql> create view customeremaillist as
select cust_id, cust_name, cust_email
from customers
where cust_email is not null;

使用视图与计算字段

mysql> create view orderitemsexpanded as
select order_num,
prod_id,
quantity,
item_price,
quantity*item_price as expanded_price
from orderitems;

使用存储过程

执行存储过程（所有mysql变量都必须以@开始）

mysql> call productpricing(@pricelow,
@pricehigh,
@priceaverage);

创建存储过程

mysql> create procedure productpricing()
begin
select avg(prod_price) as priceaverage
from products;
end;

删除存储过程

mysql> drop procedure productpricing;

使用参数

mysql> create procedure productpricing(
out pl decimal(8,2),
out ph decimal(8,2),
out pa decimal(8,2)
)
begin
select min(prod_price)
into pl
from products;
select max(prod_price)
into ph
from products;
select avg(prod_price)
into pa
from products;
end;

建立智能存储过程

-- Name: ordertotal
-- Parameters: onumber = order number
--                     taxable = 0 if not taxable, 1 if taxable
--                     ototal = order total variable

create procedure ordertotal(
in onumber int,
in taxable boolean,
out ototal decimal(8,2)
) comment 'Obtain order total, optionally adding tax'
begin

-- Declare variable for total
declare total decimal(8,2);
-- Declare tax percentage
declare taxrate int default 6;

-- Get the order total
select sum(item_price*quantity)
from orderitems
where order_num = onumber
into total;

-- Is this taxable?
if taxable then
-- Yes, so add taxrate to the total
select total+(total/100*taxrate) into total;
end if;

-- And finally, save to out variable
select total into ototal;

end;

taxable=0测试结果

call ordertotal(20005, 0, @total);
select @total;

taxable=1测试结果

call ordertotal(20005, 1, @total);
select @total;

检查存储过程

mysql> show create procedure ordertotal;

限制过程状态结果

mysql> show procedure status like 'ordertotal';

使用游标

创建游标

create procedure processorders()
begin
declare ordernumbers cursor
for
select order_num from orders;
end;

打开和关闭游标

-- 打开游标
open ordernumbers;
-- 关闭游标
close ordernumbers;

使用游标

create procedure processorders()
begin

-- declare local variables
declare done boolean default 0;
declare o int;
declare t decimal(8,2);

-- declare the cursor
declare ordernumbers cursor
for
select order_num from orders;
-- declare continue handler
declare continue handler for sqlstate '02000' set done=1;

-- create a table to store the results
create table if not exists ordertotals
(order_num int, total decimal(8,2));

-- open the cursor
open ordernumbers;

-- loop through all rows
repeat

-- get order number
fetch ordernumbers into o;

-- get the total for this order
call ordertotal(o, 1, t);

-- insert order and total into ordertotals
insert into ordertotals(order_num, total)
values(o, t);

-- end of loop
until done end repeat;

-- close the cursor
close ordernumbers;

end;

使用触发器

创建触发器

create trigger newproduct after insert on products
for each row select 'Product added';

删除触发器

drop trigger newproduct;

使用触发器

-- insert触发器
create trigger neworder after insert on orders
for each row select new.order_num;

-- delete触发器
create tigger deleteorder before delete on orders
for each row
begin
　　insert into archive_orders(order_num, order_date, cust_id)
　　value(old.order_num, old.order_date, old.cust_id);
end;

-- update触发器
create trigger updatevendor before update on vendors
for each row set new.vend_state = upper(new.vend_state);

管理实务处理

事务（transaction）指一组SQL语句；

回退（rollback）指撤销指定的SQL语句的过程；

提交（commit）指将未存储的SQL语句结果写入数据库表；

保留点（savepoint）指事务处理中设置的临时占位符，你可以对它发布回退。

使用rollback

select * from ordertotals;
start transaction;
delete from ordertotals;
select * from ordertotals;
rollback;
select * from ordertotals;

使用commit

start transaction;
delete from orderitems where order_num = 20010;
delete from orders where order_item = 20010;
commit;

使用保留点

savepoint delete1;

rollback to delete1;

更改默认的提交行为（设置autocommit为0，mysql不自动提交更改，直到autocommit为设置为1为止）

set autocommit=0;

全球化和本地化

字符集为字母和符号的集合；

编码为某个字符集成员的内部表示；

校对为规定字符如何比较的指令。

查看所支持的字符集完整列表

show character set;

查看所支持校对的完整列表

show collation;

显示数据库所用的字符集和校对

show variables like 'character%';
show variables like 'collation%';

给表指定字符集和校对

create table mytable
(
　　column1　　int,
　　column2　　varchar(10)
) default character set hebrew
collate hebrew_general_ci;

对每个列设置字符集和校对

create table mytable
(
　　column1　　int,
　　column2　　varchar(10),
　　columm3　  varchar(10) character set latin1 collate latin1_general_ci
) default character set hebrew
collate hebrew_general_ci;

校对顺序排序

select * from customers
order by lastname, firstname collate latin1_general_cs;

安全管理

不应该在日常的MySQL操作中使用root

获得所有账号列表

mysql> use mysql;
mysql> select user from user;

创建用户账号

mysql> create user ben identified by 'p@$$w0rd';

重命名用户账号

mysql> rename user ben to bforta;

删除用户账号

mysql> drop user bforta;

查看用户账号权限

mysql> show grants for bforta;

给用户账号授予权限

mysql> grant select on crashcourse.* to bforta;

撤销用户权限

mysql> revoke select on crashcourse.* from bforta;

更改用户口令

set password for bforta = password('n3w p@$$w0rd');

设置自己的口令

set password = password('n3w p@$$w0rd');

数据库维护

备份数据

使用命令行实用程序mysqldump转储所有数据库内容到某个外部文件

使用命令行实用程序mysqlhotcoy从一个数据库复制所有数据

使用backup table或select into outfile转储所有数据到某个外部文件

数据库维护

analyze table用来检查表键是否正确

mysql> analyze table orders;

check table用来针对许多问题对表进行检查

mysql> check table orders, orderitems;

如果从一个表中删除大量数据，应该使用optimize table来回收所用的空间，从而优化表的性能

查看日志文件

错误日志。它包含启动和关闭问题以及任意关键错误的细节。通常名为hostname.err

查询日志。它记录所有mysql活动，在诊断问题时非常有用。通常名为hostname.log

二进制日志。它记录更新过数据的所有语句。通常名为hostname.bin

缓慢查询日志。它记录执行缓慢的任何查询。通常名为hostname-slow.log

改善性能

查看当前设置

mysql> show variables;
mysql> show status;

显示所有活动进程

mysql> show processlist;

如果某个任务执行缓慢，则所有的请求都会执行缓慢，可以用kill命令终结该进程。

总是有不止一种方法编写同一条select语句，应该试验联结、并、子查询等，找出最佳的方法。

使用explain语句让mysql解释它如何执行一条select语句。

一般来说，存储过程执行比一条条地执行其中的各条mysql语句快。

应该总是使用正确的数据类型。

决不要检索比需求还要多的数据。换言之，不要用select *（除非你真的需要每个列）。

有的操作（包括insert）支持一个可选的delayed关键字，如果使用它，将把控制立即返回给调用程序，并且一旦有可能就实际执行该操作。

在导入数据时，应该关闭自动提交。你可能还想删除索引（包括fulltext索引），然后在导入完成后再重建它们。

必须索引数据库以改善数据检索的性能。确定索引什么不是一件微不足道的任务，需要分析使用的select语句以找出重复的where和order by子句。如果一个简单的where子句返回结果所花的时间太长，则可以断定其中使用的列（或几个列）就是需要索引的对象。

你的select语句中有一系列复杂的or条件吗？通过使用多条select语句和连接它们的union语句，你能看到极大的性能改进。

索引改善数据检索的性能，但损害数据插入、删除和更新的性能。如果你有一些表，它们收集数据且不经常被搜索，则在有必要之前不要索引它们。（索引可根据需要添加和删除。）

like很慢。一般来说，最好是使用fulltext而不是like。

数据库是不断变化的实体。一组优化良好的表一会儿后可能就面目全非了。由于表的使用和内容的更改，理想的优化和配置也会改变。

最重要的规则就是，每条规则在某些条件下都会被打破。