美文网首页
Mysql 基础整理

Mysql 基础整理

作者: AnnaJIAN | 来源:发表于2018-11-21 11:14 被阅读0次

    Mysql 常用命令

    基本命令

    mysql -hhost -uusername -ppassword -Pport;
    
    show databases;
    
    use database;
    
    show tables;
    
    desc table;
    
    show columns;
    
    show create table;
    
    select * from table limit 1;
    
    select f1, f2 from table order by f1;
    
    select f1, f2 from table order by f1 desc;
    
    select f1 from table where f1 = 'val1';
    
    select f1 from table where f1 like '%val%';
    
    select f1, count(*) as count from table group by f1;
    
    select concat(f1, f2) as nf from table order by f1;
    
    select distinct f1 from table;
    
    update table set f1 = 'val1' where f2 = 'val2';
    
    insert into table (f1, f2) values (val1, val2);
    
    delete from table where f1 = 'val1';
    
    drop table tablexxx;
    
    alter table tablexxx add col char(10);
    
    alter table tablexxx drop column col;
    
    alter table tablexxx add foreign key (fk) refrences table2 (f1);
    
    alter table tablexxx add index_name (tablexxx_f1); 
    
    select test_a.name from test_b left join test_a on test_b.id = test_a.test_b_id;
    
    select test_a.name from test_b right join test_a on test_b.id = test_a.test_b_id;
    
    select test_a.name from test_b inner join test_a on test_b.id = test_a.test_b_id;
    
    select test_a.name from test_b left outer join test_a on test_b.id = test_a.test_b_id;
    
    
    
    
    
    

    业务中常用

    #插入多条
    insert into table (f1, f2) values (val11, val12), (val21, val22);
    
    #降低插入的优先级low_priority
    insert low_priority into table(f1, f2) values(val1, val2);
    
    #从另外一个表查询数据插入
    insert into table1 (f1, f2) select (f3, f4) from table2;
    
    #先按f1排序再按f2排序, 默认order by f1 a-z,f2 a-z;
    select f1, f2, f3 from table order by f1, f2;
    
    #先把结果集按f1降序排列,再按f2排
    select f1, f2, f3 from table order by f1 desc, f2;
    
    #查询出拼表中列的结果
    select table1_f1, table1_f2, table2_f2 from table1, table2 where
    table1.table1_f1 = table2.table2_f1 order by table1_f1, table1_f2;
    
    #用having对分组进行过滤,where只能对行进行过滤,不能对分组
    #进行过滤查询出订单价格总计大于50的订单号和总计列表
    select order_id, sum(n*item_price) as order_total from table group 
    by order_id having sum(n*item_price) >= 50 order by order_total;
    
    #罗列出生产某个产品的供应商的所有产品
    select prod_id, prod_name from products where vendor_id = (select vendor_id from products where prod_name = 'xxx');
    
    #罗列出生产某个产品的供应商的所有产品, 自查询
    select prod_id, prod_name from products as p1, products as p2 where p1.vendor_id = p2.vendor_id and p2.prod_name = 'xxx'
    
    #罗列出客户表中所有的客户的订单总量
    select cust_name, cust_id, (select count(*) from orders where 
    orders.cust_id = customers.cust_id) as num_ord from customers
    order by cust_name;
    
    #罗列出客户表中所有的客户的订单总量; 笛卡尔积: 没有联结条件的表的返回的
    #结果叫笛卡尔积, LEFT OUTER JOIN 可以返回笛卡尔积。
    select customers.cust_name, customers.cust_id, count(orders.order_num) as num_ord from customers left outer join orders on customers.cust_id = orders.cust_id group by customers.cust_id;
    
    ####mysql中没有outer join,left join和left outer join一样,都会出
    #现主表上的笛卡尔积。如果A表有3条记录,B表有4条记录,以下语句将会打印出4条记录。
    select test_a.name from test_b left join test_a on test_b.id = 
    test_a.test_b_id;
    
    #join等价于inner join内连接,是返回两个表中都有的符合条件的行。
    #left join左连接,是返回左表中所有的行及右表中符合条件的行。
    #right join右连接,是返回右表中所有的行及左表中符合条件的行。
    #full join全连接,是返回左表中所有的行及右表中所有的行,并按条件连接。
    #通常情况下,left join比inner join返回的行数多。
    #inner join 执行效率比left join/right join 高。inner join会自动选择数量级小的表作为驱动表。
    
    #罗列出2中查询条件的结果
    select vendor_id, prod_id, prod_price from products where 
    prod_price <=5 or vendor_id in (1001, 1002);
    
    #罗列出2中查询条件的结果, 使用UNION
    select vendor_id, prod_id, prod_price from products where 
    prod_price <=5 union
    select vendor_id, prod_id, prod_price from products where 
    vendor_id in (1001, 1002);
    
    
    

    业务中偶尔用到

    #显示广泛的服务器状态
    show status;
    
    #显示授予用户
    show grants;
    
    #显示所有活动进程
    show processlist;
    
    #正则查询f1包含a或b开头空格A字符串括号包含4个数字结尾的字符
    select f1,f2 from table where f1 regexp '^[a|b] A*\([1-9]{4}\)$' order by f1;
    
    #两个表关联更新
    update user_score as us LEFT JOIN t_athlete_score as tas
    on us.user_id=tas.pk_id
    SET us.birth=tas.f_birth;
    
    #查看mysql索引整理
    show index from table;
    

    需要注意的地方

    #查询行1起始的2行。mysql第一行offset是0,以下2条语句等价。
    select field1,field2 from table limit 1, 2;
    select field1,field2 from table limit 2 offset 1;
    
    #返回没有记录的f1:is null 未知,不等于0,在匹配过滤和不匹配
    #过滤中都不返回结果
    select f1 from table where f1 is null;
    
    #BETWEEN , 包含A和B
    select f1, f2 from table between A and B;
    
    #UNION 
    (select a xxx) union (select b order by xxx)
    union all 表示罗列出重复的结果集。union会自动把重复的结果集去掉。
    union 必须在最后一条select语句中使用order by,不允许用一种结果排序
    又用另外一种结果排序。
    
    #delete truncate drop
    delete 不删除表
    truncate 删除表并重新创建表,速度比delete更快
    drop table xxx 直接删除表
    
    

    常用函数

    Trim(), Upper(), Length(), Now(), Date(), Time(), Year(),DateDiff()
    
    #打印今年
    select year(now());
    
    select avg(f1) as avg_f1 from table;
    
    select count(*) from table where f1='val1';
    
    #统计非null的f1的条数
    select count(f1) as total_f1, max(f1) as max_f1, min(f1) as min_f1, 
    avg(f1) as avg_f1 from table;
    

    常用数据类型

    int, tinynit, bigint, unsigned, char, varchar, text, decimal, double, 
    float, boolean
    date, datetime, timestamp, smallint, mediumint, blob
    

    创建表

    create table if not exists tablexxx ();
    

    创建用户

    'username'@'%' 表示可以远程连接。
    PRIVILEGES ON *.* 表示所有的库所有的表都有权限。

    > mysql> CREATE USER 'foo'@'localhost' IDENTIFIED WITH mysql_native_password BY 'bar';
    > mysql> GRANT ALL PRIVILEGES ON database_name.* TO 'foo'@'localhost';
    
    CREATE USER 'drupal'@'%';
    GRANT ALL PRIVILEGES ON *.* TO 'drupal'@'%' IDENTIFIED BY 'drupal';
    

    删除用户

    DROP USER 'jeffrey'@'localhost';
    

    相关文章

      网友评论

          本文标题:Mysql 基础整理

          本文链接:https://www.haomeiwen.com/subject/aoxxqqtx.html