添加记录:1.一次添加一条记录:INSERT [INTO] 数据表名[(字段名称1,2……)] {VALUE|VALUES}(值1,2……);2.一次添加多条记录:INSERT [INTO] 数据表名[(字段名称1,2……)] VALUES(值1,2……),(值1,2……),(值1,2……)……;3.INSERT……SET的形式:INSERT 数据表名 SET 字段名称1=值1,字段名称2=值2……;
首先创建数据库,创建数据表;
CREATE DATAbase IF NOT EXISTS imooc1 DEFAULT CHARACTER SET 'UTF8'; USE imooc1; CREATE TABLE IF NOT EXISTS user1( id INT UNSIGNED AUTO_INCREMENT KEY COMMENT "编号", username VARCHAR(20) NOT NULL UNIQUE COMMENT "用户名", age TINYINT UNSIGNED DEFAULT 18 COMMENT "年龄", email VARCHAR(50) NOT NULL DEFAULT "imooc@qq.com" COMMENT "邮箱" )ENGINE=INNODB CHARSET=UTF8;
以不指定字段名称的方式向表中添加记录;
-- 不指定字段名称 INSERT user1 VALUE(1, "coco", 22, "coco@qq.com"); INSERT user1 VALUES(DEFAULT, "lili", 18, "lili@qq.com");
以列出指定字段的形式向表中添加记录;
-- 列出指定字段的形式
INSERT user1(username, email) VALUES("rose", "rose@qq.com");
一次向表中添加多条记录;
-- 一次添加多条记录 INSERT user1 VALUES(NULL, "mini", 23, "mini@qq.com"), (DEFAULT, "jack", 25, "jack@qq.com");
以INSERT……SET的形式添加记录;
-- INSERT……SET的形式 INSERT user1 SET username = "a", email = "a@qq.com";
修改记录:UPDATe 表名 SET 字段名称=值,字段名称=值 [WHERe 条件];如果不添加条件,整个表中的记录都会被更新。
修改某条记录的指定字段名称的值;
UPDATE user1 SET age = 24 WHERe id = 1; UPDATE user1 SET username = "lyly", age = 22, email = "lyly@qq.com" WHERe id = 3;
向表中所有用户的年龄加10;
-- 向表中所有用户年龄加10 UPDATE user1 SET age = age + 10;
向表中id<=3的用户年龄减20,将邮箱改为默认值
-- 向表中id<=3的用户年龄减20,将邮箱改为默认值 UPDATE user1 SET age = age - 20, email = DEFAULT WHERe id <= 3;
删除记录:
DELETE FROM 表名 [WHERe 条件];如果不添加条件,整个表中的记录都会被更新。
DELETe FROM user1 WHERe username = "coco";
DELETe清空数据表的时候不会重置AUTO_INCREMENT的值,可以通过ALTER语句将其重置为1。
ALTER TABLE user1 AUTO_INCREMENT = 1;
彻底清空数据表:TRUNCATE [TABLE] 表名;作用1:清除表中所有记录。作用2:会重置AUTO_INCREMENT的值。
TRUNCATE user1;
查询记录:
SELECT 要查询内容1…… FROM 表名 [WHERe 条件] [GROUP BY {字段名称|位置} HAVINg 二次筛选] [ORDER BY {字段名称|位置|表达式}[ASC|DESC]] [限制结果集的显示条数];查询表中所有记录(所有字段):SELECt * FROM 表名;
SELECt * FROM user1;
指定字段的信息:SELECt 字段名称,…… FROM 表名;
SELECt username, age FROM user1;
库名.表名:SELECt 字段名称,…… FROM 数据库名.表名;
-- 查询imooc数据库下user1表中的所有记录 SELECt * FROM imooc.user1;
给字段起别名:SELECt 字段名称 [AS] 别名名称,…… FROM 数据库名.表名;
-- 给字段起别名 id 编号 username 用户名 email 邮箱 SELECt id AS "编号", username AS "用户名", email AS "邮箱" FROM user1;
给数据表起别名:SELECt 字段名称,…… FROM 表名 [AS] 别名;
-- 给表起别名 SELECt id, username FROM user1 AS u;
表名.字段名称:SELECt 表名.字段名称,…… FROM 表名;
-- 测试表名.字段名称 SELECt user1.id, user1.username FROM user1;
WHERe条件:会筛选出符合条件的记录。
- 比较运算符:> >= < <= != <> <=>
<=> 和 = 的区别:<=>可以检测NULL值。IS [NOT] NULL :检测值是否为NULL或者NOT NULL。指定范围:[NOT] BETWEEN …… AND
-- 测试范围 BETWEEN……AND -- 查询年龄在18~30之间的用户 SELECt user1.id, user1.username, user1.email FROM user1 WHERe age BETWEEN 18 AND 30;
4.指定集合:[NOT] IN(值, ……)
-- 测试指定集合 IN
-- 查询id为 1,3,5
SELECt id, username, age FROM user1
WHERe id IN(1, 3, 5);
-- 查询username不为coco, rose
SELECt id, username, age FROM user1
WHERe username NOT IN("coco", "rose");
5.逻辑运算符:AND 逻辑与 OR 逻辑或
-- 测试逻辑运算符 -- 查询id<3且age>20的用户 SELECt id, username, age FROM user1 WHERe id < 3 AND age > 20;
6.匹配字符:①[NOT] LIKE ②% 任意长度的字符串 ③_ 任意一个字符
-- 测试模糊查询 [NOT] LIKE SELECt id, username, email FROM user1 WHERe username LIKE "lili";
-- 要求用户名中包含l,查询字母不区分大小写 -- l出现在字符任意位置 SELECt id, username, email FROM user1 WHERe username LIKE "%l%"; -- l出现在字符起始位置 SELECt id, username, email FROM user1 WHERe username LIKE "l%"; -- l出现在字符末尾位置 SELECt id, username, email FROM user1 WHERe username LIKE "%l";
-- 用户名长度为四位的用户 SELECt id, username, email FROM user1 WHERe username LIKE "____"; SELECt id, username, email FROM user1 WHERe username LIKE "__s_";
GROUP BY 分组:
- 把值相同的放到一个组中,最终查询出的结果只会显示组中一条记录
-- 按照性别分组 SELECt username, age, sex FROM user1 GROUP BY sex;
- 分组配合GROUP_CONCAt() 查看组中某个字段的详细信息
-- 按照用户名分组,查询组中的用户名有哪些 SELECt CONCAT(username), age, email FROM user1 GROUP BY username;
- 配合聚合函数使用
(1)COUNT() 统计记录总数,如果写的是COUNT(字段名称),字段中的值为NULL,不统计进来,若写COUNT(*)会统计NULL值
-- 测试COUNT() SELECt COUNT(*) FROM user1; SELECt COUNT(id) FROM user1; SELECt COUNT(*) AS total_username FROM user1;
-- 结合GROUP BY使用 -- 按照sex分组,得到用户名详情,并且分别组中的总人数 SELECt sex, GROUP_CONCAT(username) AS usersDetail, COUNT(*) AS totalUsers FROM user1 GROUP BY sex;
(2)SUM() 求和;MAX() 求最大值;MIN() 求最小值;AVG() 求平均值
-- 按照addr分组,得到用户名详情,总人数,得到组中年龄的总和,年龄的最大值、最小值、平均值和 SELECt addr, GROUP_CONCAT(username) AS usersDetail, COUNT(*) AS totalUsers, SUM(age) AS sum_age, MAX(age) AS max_age, MIN(age) AS min_age, AVG(age) AS avg_age FROM user1 GROUP BY addr;
- 配合WITH ROLLUP关键使用:会在记录末尾添加一条记录,是上面所有记录的总和结合WHERe条件,查询age>=25的用户,查询用户名详情用usersDetail命名,并且按照sex分组
SELECt sex, GROUP_CONCAT(username) AS userDetail, COUNT(*) AS totalUsers FROM user1 WHERe age >= 25 GROUP BY sex;
- HAVINg子句对分组结果进行二次筛选
不进行二次筛选:
-- 按照addr分组,统计总人数、 SELECt addr, GROUP_CONCAT(username) AS usersDetail, COUNT(*) AS totalUsers FROM user1 GROUP BY addr;
结果:
进行二次筛选:
-- 对于分组结果进行二次筛选,条件是组中总人数>=2 SELECt addr, GROUP_CONCAT(username) AS usersDetail, COUNT(*) AS totalUsers FROM user1 GROUP BY addr HAVINg COUNT(*) >= 2;
结果:
ORDER BY 排序 ORDER BY 字段名称 ASC|DESC
ASC 升序 , DESC 降序
-- 按照id降序排列 SELECt id, username, age FROM user1 ORDER BY id DESC;
结果:
-- 按照多个字段排序 SELECt id, username, age FROM user1 ORDER BY age ASC, id DESC;
结果:
-- 实现随机记录 SELECt id, username, age FROM user1 ORDER BY RAND();
结果:
LIMIT限制结果集显示条数
LIMIT值:显示结果集的前几条记录
SELECt id, username, age, sex FROM user1 LIMIT 5;
LIMIT offset, row_count :从offset开始,显示row_count条记录,
SELECt id, username, age, sex FROM user1 ORDER BY id DESC LIMIT 0, 5;
练习:
-- 更新user1表中的前3条记录,将age+5 UPDATe user1 SET age = age + 5 LIMIT 3; -- 将user1表中id字段降序排列,更新前三条记录,将age-10 UPDATE user1 SET age = age - 10 ORDER BY id DESC LIMIT 3; -- 删除user1表中前三条记录 DELETE FROM user1 LIMIT 3; -- 删除user1表中id字段降序排列的前三条记录 DELETe FROM user1 ORDER BY id DESC LIMIT 3;



