1. 数据库操作
创建数据库
create database mydb character set utf8mb4 collate utf8mb4_unicode_ci;
查看所有数据库
show databases;
选择数据库
use mydb;
删除数据库
drop database mydb;
修改数据库
alter database mydb character set utf8mb4;
2. 表操作
创建表
create table users (
id int auto_increment primary key,
username varchar(50) not null unique,
email varchar(100) not null,
password varchar(255) not null,
age int default 18,
status tinyint default 1 comment '1:active 0:inactive',
created_at timestamp default current_timestamp,
updated_at timestamp default current_timestamp on update current_timestamp
) engine=innodb default charset=utf8mb4;查看表结构
desc users; -- 或 describe users; -- 或 show columns from users;
查看所有表
show tables;
修改表结构
-- 添加列
alter table users add column phone varchar(20);
-- 删除列
alter table users drop column phone;
-- 修改列类型
alter table users modify column username varchar(100);
-- 重命名列
alter table users change column username user_name varchar(50);
-- 添加索引
alter table users add index idx_email (email);
-- 添加外键
alter table orders add constraint fk_user_id
foreign key (user_id) references users(id);删除表
drop table users; -- 或 drop table if exists users;
清空表(保留表结构)
truncate table users;
重命名表
rename table old_name to new_name;
3. 数据操作 (crud)
插入数据 (insert)
-- 插入单条记录
insert into users (username, email, password) values ('zhangsan', 'zhangsan@example.com', '123456');
-- 插入多条记录
insert into users (username, email, password) values
('lisi', 'lisi@example.com', '123456'),
('wangwu', 'wangwu@example.com', '123456');
-- 从另一表插入数据
insert into users_backup select * from users;更新数据 (update)
-- 更新单个字段 update users set email = 'newemail@example.com' where id = 1; -- 更新多个字段 update users set email = 'new@example.com', status = 0 where id = 1; -- 批量更新 update users set status = 0 where age < 18;
删除数据 (delete)
-- 删除指定记录 delete from users where id = 1; -- 批量删除 delete from users where status = 0; -- 清空表(delete方式,会重置自增id) delete from users;
4. 查询语句
基本查询
-- 查询所有列 select * from users; -- 查询指定列 select id, username, email from users; -- 去重查询 select distinct status from users;
条件查询 (where)
-- 等于 select * from users where id = 1; -- 不等于 select * from users where status != 0; -- 多条件 and select * from users where age >= 18 and age <= 60; -- 多条件 or select * from users where age < 18 or age > 60; -- in 查询 select * from users where id in (1, 2, 3); -- not in 查询 select * from users where id not in (1, 2, 3); -- between 范围查询 select * from users where age between 18 and 60; -- like 模糊查询 select * from users where username like 'zhang%'; -- 以zhang开头 select * from users where username like '%san'; -- 以san结尾 select * from users where username like '%an%'; -- 包含an select * from users where username like 'zh_ng'; -- _匹配单个字符 -- is null 查询 select * from users where phone is null; -- is not null 查询 select * from users where phone is not null;
排序 (order by)
-- 升序 select * from users order by age asc; -- 降序 select * from users order by created_at desc; -- 多字段排序 select * from users order by status asc, age desc;
限制结果集 (limit)
-- 查询前n条 select * from users limit 10; -- 分页查询(跳过m条,取n条) select * from users limit 0, 10; -- 第1页,每页10条 select * from users limit 10, 10; -- 第2页,每页10条
分组查询 (group by)
-- 按状态分组统计 select status, count(*) as count from users group by status; -- 多字段分组 select status, age, count(*) as count from users group by status, age; -- 分组后过滤(having) select status, count(*) as count from users group by status having count > 5;
5. 聚合函数
-- count 统计数量
select count(*) from users;
select count(distinct email) from users;
-- sum 求和
select sum(amount) from orders;
-- avg 平均值
select avg(age) from users;
-- max 最大值
select max(price) from products;
-- min 最小值
select min(price) from products;
-- 组合使用
select
count(*) as total,
avg(age) as avg_age,
max(age) as max_age,
min(age) as min_age
from users;6. 连接查询
内连接 (inner join)
-- 只返回匹配的记录 select u.username, o.order_no, o.amount from users u inner join orders o on u.id = o.user_id;
左连接 (left join)
-- 返回左表所有记录,右表没有匹配则为null select u.username, o.order_no from users u left join orders o on u.id = o.user_id;
右连接 (right join)
-- 返回右表所有记录,左表没有匹配则为null select u.username, o.order_no from users u right join orders o on u.id = o.user_id;
多表连接
select u.username, o.order_no, p.product_name from users u inner join orders o on u.id = o.user_id inner join order_items oi on o.id = oi.order_id inner join products p on oi.product_id = p.id;
7. 索引操作
创建索引
-- 普通索引 create index idx_username on users(username); -- 唯一索引 create unique index idx_email on users(email); -- 组合索引 create index idx_status_age on users(status, age); -- 全文索引 create fulltext index idx_content on articles(content);
查看索引
show index from users;
删除索引
drop index idx_username on users;
8. 视图操作
创建视图
create view user_orders as select u.id, u.username, count(o.id) as order_count from users u left join orders o on u.id = o.user_id group by u.id, u.username;
查看视图
select * from user_orders;
删除视图
drop view user_orders;
9. 事务处理
-- 开启事务 start transaction; -- 或 begin; -- 执行sql update users set balance = balance - 100 where id = 1; update users set balance = balance + 100 where id = 2; -- 提交事务 commit; -- 回滚事务 rollback;
10. 用户权限管理
创建用户
create user 'testuser'@'localhost' identified by 'password123'; create user 'testuser'@'%' identified by 'password123'; -- 允许远程连接
授权
-- 授予所有权限 grant all privileges on mydb.* to 'testuser'@'localhost'; -- 授予特定权限 grant select, insert, update on mydb.* to 'testuser'@'localhost'; -- 刷新权限 flush privileges;
查看权限
show grants for 'testuser'@'localhost';
撤销权限
revoke all privileges on mydb.* from 'testuser'@'localhost';
删除用户
drop user 'testuser'@'localhost';
修改密码
alter user 'testuser'@'localhost' identified by 'newpassword';
11. 常用场景示例
场景1:用户注册与登录
-- 注册(插入用户)
insert into users (username, email, password) values ('newuser', 'user@example.com', md5('password'));
-- 登录验证
select * from users where username = 'newuser' and password = md5('password');场景2:数据分页查询
-- 通用分页公式:limit (page-1)*pagesize, pagesize select * from users order by created_at desc limit 0, 10; -- 第1页 select * from users order by created_at desc limit 10, 10; -- 第2页
场景3:数据统计报表
-- 每日新增用户统计
select date(created_at) as date, count(*) as new_users
from users
group by date(created_at)
order by date desc;
-- 各状态用户数量
select
case status
when 1 then '活跃'
when 0 then '禁用'
else '未知'
end as status_name,
count(*) as count
from users
group by status;场景4:排行榜
-- 用户消费排行top10 select u.username, sum(o.amount) as total_amount from users u inner join orders o on u.id = o.user_id group by u.id, u.username order by total_amount desc limit 10;
场景5:查找重复数据
-- 查找重复的邮箱 select email, count(*) as count from users group by email having count(*) > 1; -- 删除重复数据(保留id最小的) delete u1 from users u1 inner join users u2 where u1.id > u2.id and u1.email = u2.email;
场景6:数据导入导出
-- 导出数据到csv文件(命令行) mysql -u root -p -e "select * from users" mydb > users.csv; -- 导入csv文件 load data infile '/path/to/users.csv' into table users fields terminated by ',' enclosed by '"' lines terminated by '\n';
场景7:批量更新
-- case when 批量更新
update users
set status = case
when age < 18 then 0
when age >= 18 and age < 60 then 1
else 2
end;场景8:时间范围查询
-- 查询最近7天的数据 select * from orders where created_at >= date_sub(now(), interval 7 day); -- 查询本月数据 select * from orders where year(created_at) = year(now()) and month(created_at) = month(now()); -- 查询指定时间段 select * from orders where created_at between '2024-01-01' and '2024-12-31';
场景9:树形结构查询(分类)
-- 假设categories表有id, name, parent_id字段
-- 查找某分类的所有子分类(递归,mysql 8.0+)
with recursive category_tree as (
select * from categories where id = 1
union all
select c.* from categories c
inner join category_tree ct on c.parent_id = ct.id
)
select * from category_tree;场景10:软删除与恢复
-- 软删除(添加is_deleted字段) update users set is_deleted = 1, deleted_at = now() where id = 1; -- 查询未删除的数据 select * from users where is_deleted = 0; -- 恢复数据 update users set is_deleted = 0, deleted_at = null where id = 1;
常用函数速查
字符串函数
concat(str1, str2) -- 连接字符串 length(str) -- 字符串长度 upper(str) -- 转大写 lower(str) -- 转小写 trim(str) -- 去除首尾空格 substring(str, pos, len) -- 截取子串 replace(str, old, new) -- 替换
日期时间函数
now() -- 当前日期时间 curdate() -- 当前日期 curtime() -- 当前时间 date(datetime) -- 提取日期部分 year(date) -- 提取年份 month(date) -- 提取月份 day(date) -- 提提取日 date_format(date, format) -- 日期格式化 date_add(date, interval expr unit) -- 日期增加 date_sub(date, interval expr unit) -- 日期减少
数值函数
abs(num) -- 绝对值 round(num, decimals) -- 四舍五入 ceil(num) -- 向上取整 floor(num) -- 向下取整 rand() -- 随机数
性能优化建议
使用索引:为经常查询的where、join、order by字段添加索引
避免 select *:只查询需要的字段
合理使用 limit:限制返回结果数量
避免在where中使用函数:会导致索引失效
使用 explain:分析查询执行计划
优化表结构:选择合适的数据类型
分页优化:大数据量分页使用子查询或游标
批量操作:使用批量插入代替单条插入
总结
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