• Day05 information_scherma讲解


    1. distinct 合并函数:

    对单个或多个列的去重,可单独使用
    

    执行过程:

    8.0版本以前, 对列的值先排序,再去重
    

    例:

    3306 [school]>select distinct(cno) from sc;
    +------+
    | cno  |
    +------+
    | 1001 |
    | 1002 |
    | 1003 |
    +------+
    3 rows in set (0.00 sec)
    
    union [distinct]合并
    union all 不合并(性能更好,不用排序)
    

    2. 别名(as):简化字符串(在一个表中不能重复)(临时生效)

    应用场景:
    (1)表别名(不能重复)

    teacher as te(推荐使用)
    teacher te
    

    例:

    select teacher.tname,GROUP_CONCAT(student.sname)
    from teacher
    join course
    on teacher.tno=course.tno
    join sc
    on course.cno=sc.cno
    join student
    on sc.sno=student.sno
    where teacher.tname='oldguo' and sc.score<60
    group by teacher.tno;
    
    设置别名的:
    select te.tname,GROUP_CONCAT(st.sname)
    from teacher as te
    join course as co
    on te.tno=co.tno
    join sc
    on co.cno=sc.cno
    join student as st
    on sc.sno=st.sno
    where te.tname='oldguo' and sc.score<60
    group by te.tno;
    

    (2)列别名(给列设置啥名,就显示啥名)

    3306 [school]>select count(distinct(name)) as 个数 from world.city;
    +--------+
    | 个数   |
    +--------+
    |   3998 |
    +--------+
    1 row in set (0.00 sec)
    

    调用列别名的子句:

    hivaing
    rder by
    

    3. 外连接 left(效果与内连接一样)

    左外连接:

    除了把有关联的数据拿出来外,还会把左边的数据也拿出来,右边无关的数据以NULL填充并显示。
    还可以对内连接查询起到优化作用
    写法:
    优化内连接写法:
    3306 [world]>select a.name,b.name,b.surfacearea
        -> from city as a
        -> left join country as b
        -> on a.countrycode=b.code
        -> where a.population<100;
    +-----------+----------+-------------+
    | name      | name     | surfacearea |
    +-----------+----------+-------------+
    | Adamstown | Pitcairn |       49.00 |
    +-----------+----------+-------------+
    1 row in set (0.00 sec)
     左外连接写法:
    select a.name,b.name,b.surfacearea from city as a left join country as b on a.coun.countrycode=b.code and a.population<100 limit 10;
    +----------------+------+-------------+
    | name           | name | surfacearea |
    +----------------+------+-------------+
    | Kabul          | NULL |        NULL |
    | Qandahar       | NULL |        NULL |
    | Herat          | NULL |        NULL |
    | Mazar-e-Sharif | NULL |        NULL |
    | Amsterdam      | NULL |        NULL |
    | Rotterdam      | NULL |        NULL |
    | Haag           | NULL |        NULL |
    | Utrecht        | NULL |        NULL |
    | Eindhoven      | NULL |        NULL |
    | Tilburg        | NULL |        NULL |
    +----------------+------+-------------+
    10 rows in set (0.00 sec)
    

    右外连接 right

    除了把有关联的数据拿出来外,还会把右边的数据也拿出来,然后形成一个新表,左边无关联的数据以NULL的形式显示。
    写法:
    3306 [world]>select a.name,b.name,b.surfacearea from city as a right join country as b on a.countrycode=b.code and a.population<100 limit 10;
    +------+----------------------+-------------+
    | name | name                 | surfacearea |
    +------+----------------------+-------------+
    | NULL | Aruba                |      193.00 |
    | NULL | Afghanistan          |   652090.00 |
    | NULL | Angola               |  1246700.00 |
    | NULL | Anguilla             |       96.00 |
    | NULL | Albania              |    28748.00 |
    | NULL | Andorra              |      468.00 |
    | NULL | Netherlands Antilles |      800.00 |
    | NULL | United Arab Emirates |    83600.00 |
    | NULL | Argentina            |  2780400.00 |
    | NULL | Armenia              |    29800.00 |
    +------+----------------------+-------------+
    10 rows in set (0.00 sec)
    

    4. information_scherma(虚拟库,数据库启动时自动生成的视图)的基本使用

    什么是视图?

    视图也可以理解为别名
    创建视图关键字:
    create view as
    例子:
    create view t as select a.name,b.name,b.surfacearea from city as a left join country as b on a.countrycode=b.code where a.population<100;
    
    select * from t;
    

    4.1 information_scherma.tables

    什么是元数据

    元数据存放在基表中,也叫元数据表。基表无法查询和修改的。
    还有一部分也保存的状态类元数据:ibdata1
    可以通过DDL修改基表(元数据)。
    也可以间接查看,show(片面的,只能看当前库下的表)、desc、information_schema(全局类的统计和查询)
    
    use information_schema
    desc tables;
    TABLE_SCHEMA    :表所在的库
    TABLE_NAME      :表名
    TABLE_TYPE      :表类型
    ENGINE          :表的存储引擎
    TABLE_ROWS      :表行数
    AVG_ROW_LENGTH  :平均行长度
    INDEX_LENGTH    :索引的长度
    

    -- 例子:information_chema
    -- 要查询整个数据库下所有的库对应的表的名字,每个库显示成一行

    use information_schema;
    select table_schema,group_concat(table_name)
    from information_schema.`TABLES`
    group by table_schema;
    

    --- 统计一下每个库下表的个数

    select table_schema,count(table_name)
    from information_schema.`TABLES`
    group by table_schema;
    
    +--------------------+-------------------+
    | table_schema       | count(table_name) |
    +--------------------+-------------------+
    | information_schema |                61 |
    | mysql              |                31 |
    | oldboy             |                 1 |
    | oldguo             |                 3 |
    | performance_schema |                87 |
    | school             |                 7 |
    | sys                |               101 |
    | world              |                 3 |
    +--------------------+-------------------+
    8 rows in set (0.00 sec)
    

    (面试题:)-- 统计一下每个库的真实数据量
    每张表数据量=平均行长度x行数+索引长度

    select table_schema,count(table_name),sum(AVG_ROW_LENGTH*TABLE_ROWS+INDEX_LENGTH)
    from information_schema.tables
    group by table_schema;
    
    SELECT
    table_schema,
    COUNT( table_name ),
    SUM(AVG_ROW_LENGTH*TABLE_ROWS+INDEX_LENGTH)/1024/1024 AS ToTAL_MB 
    FROM information_schema.TABLES 
    GROUP BY table_schema;
    

    统计数据库中的总数据大小

    SELECT
    SUM(AVG_ROW_LENGTH*TABLE_ROWS+INDEX_LENGTH)/1024/1024 AS ToTAL_MB 
    FROM information_schema.TABLES;
    

    concat()拼接命令使用

    3306 [information_schema]>select concat(user,"@","'",host,"'") from mysql.user;
    +-------------------------------+
    | concat(user,"@","'",host,"'") |
    +-------------------------------+
    | oldboy@'10.0.0.%'             |
    | oldguo@'10.0.0.%'             |
    | root@'10.0.0.%'               |
    | zhihu@'10.0.0.%'              |
    | oldboy@'172.16.1.%'           |
    | mysql.session@'localhost'     |
    | mysql.sys@'localhost'         |
    | root@'localhost'              |
    +-------------------------------+
    8 rows in set (0.00 sec)
    

    模仿以上命令,对整个数据库下的1000张表进行单独备份,排除sys,performance,information_schema

    vim /etc/my.cnf
    secure-file-priv=/tmp
    systemctl restart mysqld
    
    select concat("mysqldump -uroot -p123 ",table_schema," ",table_name,">/tmp/",table_schema,"_",table_name,".sql")
    from information_schema.tables
    where table_schema not in('sys','performance','information_schema')
    into outfile '/tmp/data_bak.sh';
    
    [root@db01 /tmp]# head -5 data_bak.sh 
    mysqldump -uroot -p123 mysql columns_priv>/tmp/mysql_columns_priv.sql
    mysqldump -uroot -p123 mysql db>/tmp/mysql_db.sql
    mysqldump -uroot -p123 mysql engine_cost>/tmp/mysql_engine_cost.sql
    mysqldump -uroot -p123 mysql event>/tmp/mysql_event.sql
    mysqldump -uroot -p123 mysql func>/tmp/mysql_func.sql
    

    模仿一下语句,批量实现world库下所有表的操作语句生成

    alter table world.city discard tablespace;
    
    select concat("alter table ",table_schema,".",table_name,"discard tablespacse;")
    from information_schema.`TABLES`
    where table_schema='world'
    into outfile '/tmp/discard.sql';
    

    5. show

    show databases; #查看所有数据库名
    show tables; #查看当前库下的表名
    show tables from world; #查看world数据库下的表名
    show create databales; #查看建库语句
    show create tables; #查看建表语句
    show grants for root@'localhost' #查看用户权限
    show charset; #查看所有的字符集
    show collation; #查看校对规则
    show full processlist; #查看数据库连接情况
    show status; #查看数据库整体状态
    show status like '%lock%'; #模糊查找
    show variables; #查看数据库所有变量情况
    show variables like '%innodb%'; #查看数据库所有变量情况
    show engines; #查看所有支持的存储引擎
    show engine innodb status; 查看所有和innodb引擎状态情况
    show binary logs; #查看二进制日志情况
    show binglog events in; #查看二进制日志事件
    show relaylog events in; #查看relay日志事件
    show slave status; #查看从库状态
    show master status; #查看数据看binglog位置信息
    show index from; #查看表的索引情况
    
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  • 原文地址:https://www.cnblogs.com/xiets/p/13541556.html
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