样例表 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 ,
cust_zip char(10) NULL ,
cust_country char(50) NULL ,
cust_contact char(50) NULL ,
cust_email char(255) NULL ,
PRIMARY KEY (cust_id)
) ENGINE=InnoDB; CREATE TABLE orderitems
(
order_num int NOT NULL ,
order_item int NOT NULL ,
prod_id char(10) NOT NULL ,
quantity int NOT NULL ,
item_price decimal(8,2) NOT NULL ,
PRIMARY KEY (order_num, order_item)
) ENGINE=InnoDB; CREATE TABLE orders
(
order_num int NOT NULL AUTO_INCREMENT,
order_date datetime NOT NULL ,
cust_id int NOT NULL ,
PRIMARY KEY (order_num)
) ENGINE=InnoDB; CREATE TABLE products
(
prod_id char(10) NOT NULL,
vend_id int NOT NULL ,
prod_name char(255) NOT NULL ,
prod_price decimal(8,2) NOT NULL ,
prod_desc text NULL ,
PRIMARY KEY(prod_id)
) ENGINE=InnoDB; CREATE TABLE vendors
(
vend_id int NOT NULL AUTO_INCREMENT,
vend_name char(50) NOT NULL ,
vend_address char(50) NULL ,
vend_city char(50) NULL ,
vend_state char(5) NULL ,
vend_zip char(10) NULL ,
vend_country char(50) NULL ,
PRIMARY KEY (vend_id)
) ENGINE=InnoDB; 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; #####################
# Define foreign keys
#####################
ALTER TABLE orderitems ADD CONSTRAINT fk_orderitems_orders FOREIGN KEY (order_num) REFERENCES orders (order_num);
ALTER TABLE orderitems ADD CONSTRAINT fk_orderitems_products FOREIGN KEY (prod_id) REFERENCES products (prod_id);
ALTER TABLE orders ADD CONSTRAINT fk_orders_customers FOREIGN KEY (cust_id) REFERENCES customers (cust_id);
ALTER TABLE products ADD CONSTRAINT fk_products_vendors FOREIGN KEY (vend_id) REFERENCES vendors (vend_id);
实例
第四章 检索数据
1、检索单个列
select prod_name from products;
2、检索多个列
select prod_name,prod_price from products;
3、检索所有列 (除非需要每个列,否则最好别用,降低效率)
select * from products;
4、检索不同的行
select distinct vend_id from products;
5、限定结果
select * from products limit 2,2;
6、限定表名
select products.prod_name from mysqlcrashcource.products;
第五章 检索排序数据 (order by)
1、排序数据
select prod_name from products order by prod_name;
2、按多个列排序 (仅在多个行具有相同的prod_price时才对产品prod_name进行排序)
select prod_id,prod_name,prod_price from products order by prod_price,prod_name;
3、指定排序方向 (默认是升序 asc)
select prod_id,prod_name,prod_price from products order by prod_price desc,prod_name;
4、order by 和 limit 组合 (limit 在order by之后)
select prod_price from products order by prod_price desc limit 1;
第六章 过滤数据 (where) order by 位于where之后
1、where子句操作符(=、<>、!=、<、>、<=、>=、between and)
select * from products where prod_price=2.5;
2、空值检查
select prod_name from products where prod_price is null;
第七章 数据过滤
1、组合where子句(and or)
select * from products where vend_id=1003 and prod_price<10;
select * from products where vend_id=1003 or vend_id=1002;
2、计算次序 (and优先级高)
select * from products where (vend_id=1003 or vend_id=1005) and prod_price>10;
3、IN操作符 (in比or优点:快,简洁,可以包含其它select)
select * from products where vend_id in (1002,1003) order by prod_price;
4、NOT操作符
select * from products where vend_id not in (1002,1003) order by prod_price;
第八章 通配符过滤
1、LIKE操作符 %通配符 (不区分大小写,匹配多个字符)
select prod_name,prod_price from products where prod_name like 'TNT%';
select prod_name,prod_price from products where prod_name like '%'; //匹配任何东西,除null
2、_通配符(匹配单个字符)
select prod_name,prod_price from products where prod_name like '_ ton anvil';
第九章 正则表达式搜索
1、基本字符匹配
select prod_name from products where prod_name regexp '1000'; //regexp在列内匹配,可以使用^和$达到匹配整列
select prod_name from products where prod_name like '1000';//like匹配整个列
2、进行OR匹配
select prod_name from products where prod_name regexp '1000|2000';
3、匹配几个字符之一
select prod_name from products where prod_name regexp '[123] Ton'; //[123]是[1|2|3]缩写
select prod_name from products where prod_name regexp '[^123] Ton'; //[^123]匹配除这些字符外的其它任何
4、匹配范围
select prod_name from products where prod_name regexp '[1-9] Ton';
5、匹配特殊字符 ("\\+特殊字符")
select prod_name from products where prod_name regexp '\\.5';
6、匹配多个实例 (*,+,?,{n},{n,},{n,m})
select prod_name from products where prod_name regexp '\\([0-9] sticks? \\)';
7、定位匹配^$ (^两个功能,1否定集合,2串的开始)
select prod_name from products where prod_name regexp '^[0-9\\.]';
第十章 创建计算字段
1、concat拼接字段
select concat (vend_name,'(',vend_country,')') from vendors order by vend_name;
2、使用别名 (就像实际的列一样)
select concat (vend_name,'(',vend_country,')') as vend_title from vendors order by vend_name;
3、执行算数计算
select prod_id,quantity,item_price,quantity*item_price as expanded_price from orderitems where order_num=20005;
数据处理函数:文本处理函数,日期和时间处理函数,数值处理函数 略 *用到时查
第十二章 汇总数据
1、聚集函数 avg count min max sum
select avg(prod_price) as avg_price from products where vend_id=1003;
select count(*) as num_cust from customers;
select count(cust_email) as num_cust from customers;//cust_email为null的忽略
select min(prod_price) as min_pirce from products;
select sum(quantity) as items from orderitems where order_num=20005;
2、聚集不同值
select avg(distinct prod_price) as avg_price from products where vend_id=1003;
3、组合聚集函数
select count(*) as num_items,min(prod_price) as min_price,avg(prod_price) as avg_price from products;
第十三章 分组数据 --以便能汇总表内容的子集
1、group by --select中的每个列(除聚集函数外)都必须在group by中给出
select vend_id,count(*) from products group by vend_id;
2、过滤分组 --where过滤行,having过滤分组
select cust_id,count(*) as onum from orders group by cust_id having count(*) >2;
3、列出具有2个以上、价格为10以上的产品的供应商
select vend_id,count(*) as num_vend from products where prod_price>=10 group by vend_id having num_vend>=2;
4、按总计订单价格排序
select order_num,sum(item_price*quantity) as ordertotal from orderitems group by order_num having ordertotal>=50 order by ordertotal;
**select字句顺序 select - from - where - group by - having - order by - limit
第十四章 使用子查询
1、列出订单物品TNT2的所有客户 --子查询一般与IN结合使用
select cust_id from orders where order_num in (SELECT order_num from orderitems where prod_id ='TNT2');
2、作为计算字段采用子查询 --显示customers表中的每个客户的订单数
select cust_name,cust_country,(select count(*) from orders where orders.cust_id=customers.cust_id) as orders from customers;
*子查询对检索出的每个客户执行一次,共执行了5次。 子查询效率一般。
第十五章 联结表 join
1、创建联结
SELECT vend_name,prod_name,prod_price from vendors,products where vendors.vend_id=products.vend_id ORDER BY vend_name,prod_name;
2、笛卡尔积 --没有连接条件,应该保证所有的联结都有where子句
SELECT vend_name,prod_name,prod_price from vendors,products ORDER BY vend_name,prod_name;
3、内部连接 --第一个sql语句的另一种语法
select vend_name,prod_name,prod_price from vendors inner join products on vendors.vend_id=products.vend_id order by vend_name,prod_name;
4、联结多张表 3张表 略
第十六章 高级联结
1、使用表别名 (两个用处 1简练 2一个select中多次使用相同表)
select vend_name,prod_name,prod_price from vendors as v inner join products as p on v.vend_id=p.vend_id order by vend_name,prod_name;
2、自联结--查询生产ID为DTNTR的物品供应商生成的其它产品
1>select prod_id,prod_name from products where vend_id = (select vend_id from products where prod_id='DTNTR');
2>select p1.prod_id,p1.name from products p1 inner join products p2 on p1.vend_id=p2.vend_id where p2.vend_id='DTNTR';//效率高
3、外部联结 --联结包含没有关联行的那些行(left join&right join)
1>检索所有客户及其订单,含没有下单客户
select c.cust_id,o.order_num from customers c left outer join orders o on c.cust_id=o.cust_id;(left outer join 简写 left join)
1>对每个客户下了多少订单计数,包含没有下单的客户--外连接与聚合函数
select c.cust_id,count(order_num) num_order from customers c left join orders o on c.cust_id=o.cust_id group by c.cust_id;
*****count(*)是错误的,没有下单的客户count(*)会为1*****
第十七章 组合查询
1、UNION --可用一条where代替
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);
*UNION自动去除了重复行,如果想返回所有匹配行UNION ALL(where 没有此功能)
*mysql不支持全外连接,可以用left join union right join 来实现。
第十八章 全文本搜索
SELECT note_text FROM `productnotes` where MATCH (note_text) AGAINST ('rabbit');
第十九章 插入数据
1、插入完整行 --总是给出列明
INSERT INTO customers(cust_id, cust_name, cust_address, cust_city, cust_state, cust_zip, cust_country, cust_contact, cust_email) VALUES(10001, 'Coyote Inc.', '200 Maple Lane', 'Detroit', 'MI', '44444', 'USA', 'Y Lee', 'ylee@coyote.com');
2、插入部分行 --(该列允许null或该列有默认值) 略
3、插入多行
INSERT INTO customers(cust_id, cust_name, cust_address, cust_city, cust_state, cust_zip, cust_country, cust_contact, cust_email) VALUES(10001, 'Coyote Inc.', '200 Maple Lane', 'Detroit', 'MI', '44444', 'USA', 'Y Lee', 'ylee@coyote.com'),(10002, 'Mouse House', '333 Fromage Lane', 'Columbus', 'OH', '43333', 'USA', 'Jerry Mouse');
4、插入检索出的值 --列名可以不同,类型一致即可
INSERT INTO customers(cust_name, cust_address, cust_city, cust_state, cust_zip, cust_country, cust_contact, cust_email) SELECT (cust_name, cust_address, cust_city, cust_state, cust_zip, cust_country, cust_contact, cust_email) from custnew; //可以+where
5、insert ignore .. 用法
第二十章 更新和删除数据 --切记加where
1、更新数据
update customers set cust_email = 'sdf@126.com',cust_name='ww' where cust_id=10005;
2、删除数据--删除的是行
delete from customers where cust_id=10006;