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。
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