这篇文章主要介绍“MYSQL表的全面分析”，在日常操作中，相信很多人在MYSQL表的全面分析问题上存在疑惑，小编查阅了各式资料，整理出简单好用的操作方法，希望对大家解答”MYSQL表的全面分析”的疑惑有所帮助！接下来，请跟着小编一起来学习吧！
CREATE TABLE tablename (column_name_1 column_type_1 constraints， column_name_2 column_type_2 constraints ， ……）
column_name 是列的名字column_type 是列的数据类型contraints 是这个列的约束条件
mysql> create table orders (ordername varchar(10),createtime date,ordermoney decimal(10,2),ordernumber int(2)); Query OK, 0 rows affected (0.23 sec)
结构化定义：
mysql> desc orders; +-------------+---------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------------+---------------+------+-----+---------+-------+ | ordername | varchar(10) | YES | | NULL | | | createtime | date | YES | | NULL | | | ordermoney | decimal(10,2) | YES | | NULL | | | ordernumber | int(2) | YES | | NULL | | +-------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec)
表详细定义：
查看详细的表定义：
mysql> show create table orders \G; *************************** 1. row *************************** Table: orders Create Table: CREATE TABLE `orders` ( `ordername` varchar(10) DEFAULT NULL, `createtime` date DEFAULT NULL, `ordermoney` decimal(10,2) DEFAULT NULL, `ordernumber` int(2) DEFAULT NULL ) ENGINE=InnoDB DEFAULT CHARSET=latin1 1 row in set (0.00 sec) ERROR: No query specified
由此可以看到表的 ENGINE（存储引擎）是InnoDB
CHARSET（字符集）是Latin1
“\G”选项的含义是使得记录能够按照字段竖着排列，对于内容比较长的记录更易于显示。
命令：
DROP TABLE tablename
删除orders：
mysql> drop table orders -> ; Query OK, 0 rows affected (0.14 sec)
ALTER TABLE tablename MODIFY [COLUMN] column_definition [FIRST | AFTER col_name]
例：修改表 orders 的 name 字段定义，将 varchar(10)改为 varchar(20) ：
mysql> alter table orders modify ordername varchar(20); Query OK, 0 rows affected (0.11 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> desc orders; +-------------+---------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------------+---------------+------+-----+---------+-------+ | ordername | varchar(20) | YES | | NULL | | | createtime | date | YES | | NULL | | | ordermoney | decimal(10,2) | YES | | NULL | | | ordernumber | int(2) | YES | | NULL | | +-------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec)
ALTER TABLE tablename CHANGE [COLUMN] old_col_name column_definition [FIRST|AFTER col_name]
例：表 orders 上将ordernumber修改为ordernumbers
mysql> alter table orders change column ordernumber ordernumbers int(4); Query OK, 0 rows affected (0.06 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> desc orders; +--------------+---------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +--------------+---------------+------+-----+---------+-------+ | ordername | varchar(20) | YES | | NULL | | | createtime | date | YES | | NULL | | | ordermoney | decimal(10,2) | YES | | NULL | | | ordernumbers | int(4) | YES | | NULL | | +--------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec)
特别说明：change 和 modify 都可以修改表的定义，不同的是 change 后面需要写两次列名，不方便。但是 change 的优点是可以修改列名称，modify 则不能。
ALTER TABLE tablename ADD [COLUMN] column_definition [FIRST | AFTER col_name]
例：表 orders 上新增加字段 username，类型为 varchar(3) ：
mysql> alter table orders add column username varchar(30); Query OK, 0 rows affected (0.39 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> desc orders; +-------------+---------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------------+---------------+------+-----+---------+-------+ | ordername | varchar(20) | YES | | NULL | | | createtime | date | YES | | NULL | | | ordermoney | decimal(10,2) | YES | | NULL | | | ordernumber | int(2) | YES | | NULL | | | username | varchar(30) | YES | | NULL | | +-------------+---------------+------+-----+---------+-------+ 5 rows in set (0.00 sec)
ALTER TABLE tablename DROP [COLUMN] col_name
例：表 orders 上删除字段 username：
mysql> alter table orders drop column username; Query OK, 0 rows affected (0.53 sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> desc orders; +-------------+---------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------------+---------------+------+-----+---------+-------+ | ordername | varchar(20) | YES | | NULL | | | createtime | date | YES | | NULL | | | ordermoney | decimal(10,2) | YES | | NULL | | | ordernumber | int(2) | YES | | NULL | | +-------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec)
ALTER TABLE tablename RENAME [TO] new_tablename
例：表 orders 名字改为goodsorders
mysql> alter table orders rename goodsorders; Query OK, 0 rows affected (0.16 sec) mysql> desc orders; ERROR 1146 (42S02): Table 'ordermanage.orders' doesn't exist mysql> desc goodsorders; +--------------+---------------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +--------------+---------------+------+-----+---------+-------+ | ordername | varchar(20) | YES | | NULL | | | createtime | date | YES | | NULL | | | ordermoney | decimal(10,2) | YES | | NULL | | | ordernumbers | int(4) | YES | | NULL | | +--------------+---------------+------+-----+---------+-------+ 4 rows in set (0.00 sec)
插入（insert）、查询（select）、更新（update）、删除（delete）
INSERT INTO tablename (field1,field2,……fieldn) VALUES(value1,value2,……valuesn);
例：表 goodsorders 中插入一条记录，ordername 为zhang，createtime为2021-05-12，ordermoney为100.00,ordernumbers为：1
mysql> insert into goodsorders (ordername,createtime,ordermoney,ordernumbers) values('zhang','2021-05-12',100.00,1);
Query OK, 1 row affected (0.03 sec)也可以省略(field1,field2,……fieldn)这一部分
mysql> insert into goodsorders values('zhang1','2021-05-12',1001.00,11);
Query OK, 1 row affected (0.05 sec)SELECT * FROM tablename [WHERE CONDITION]
例：查看goodsorders中所有插入数据
mysql> select * from goodsorders; +-----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | +-----------+------------+------------+--------------+ | zhang | 2021-05-12 | 100.00 | 1 | | zhang1 | 2021-05-12 | 1001.00 | 11 | +-----------+------------+------------+--------------+ 2 rows in set (0.00 sec)
其中“*”表示要将所有的记录都选出来
distinct
例：查询非goodsorders中非重复创建时间（createtime）的数据
mysql> select * from goodsorders; +-----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | +-----------+------------+------------+--------------+ | zhang | 2021-03-11 | 50.00 | 1 | | li | 2020-05-12 | 70.00 | 15 | | li | 2020-03-12 | 70.00 | 15 | | li | 2020-03-11 | 70.00 | 15 | | li | 2021-03-11 | 70.00 | 15 | +-----------+------------+------------+--------------+ 5 rows in set (0.00 sec) mysql> select distinct createtime from goodsorders; +------------+ | createtime | +------------+ | 2021-03-11 | | 2020-05-12 | | 2020-03-12 | | 2020-03-11 | +------------+ 4 rows in set (0.00 sec)
由此可以看到，将重复的一条时间数据2021-03-11去掉了
where 后面的条件是一个字段的‘='比较，还可以使用>、<、>=、<=、!=等比较运算符；
多个条件之间还可以使用 or、and 等逻辑运算符进行多条件联合查询，
例：查询非goodsorders中 ordername='li'并且createtime为2020-03-11
mysql> select * from goodsorders where ordername='li'and createtime ='2020-03-11'; +-----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | +-----------+------------+------------+--------------+ | li | 2020-03-11 | 70.00 | 15 | +-----------+------------+------------+--------------+ 1 row in set (0.00 sec)
SELECT * FROM tablename [WHERE CONDITION] [ORDER BY field1 [DESC|ASC] ， field2 [DESC|ASC]，……fieldn [DESC|ASC]]
例：把 goodsorders表中的记录按照创建时间高低进行排序显示
mysql> select * from goodsorders order by createtime; +-----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | +-----------+------------+------------+--------------+ | li | 2020-03-11 | 70.00 | 15 | | li | 2020-03-12 | 70.00 | 15 | | li | 2020-05-12 | 70.00 | 15 | | zhang | 2021-03-11 | 50.00 | 1 | | li | 2021-03-11 | 70.00 | 15 | +-----------+------------+------------+--------------+ 5 rows in set (0.01 sec)
SELECT ……[LIMIT offset_start,row_count]
offset_start 表示记录的起始偏移量row_count 表示显示的行数
例如1：显示 goodsorders表中按照 createtiem 排序后的前 3 条记录：
mysql> select * from goodsorders order by createtime limit 3; +-----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | +-----------+------------+------------+--------------+ | li | 2020-03-11 | 70.00 | 15 | | li | 2020-03-12 | 70.00 | 15 | | li | 2020-05-12 | 70.00 | 15 | +-----------+------------+------------+--------------+ 3 rows in set (0.00 sec)
例如2：如果要显示 goodsorders表中按照 createtiem 排序后 从第二条记录开始，显示3条数据：
mysql> select * from goodsorders order by createtime limit 2,3; +-----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | +-----------+------------+------------+--------------+ | li | 2020-05-12 | 70.00 | 15 | | zhang | 2021-03-11 | 50.00 | 1 | | li | 2021-03-11 | 70.00 | 15 | +-----------+------------+------------+--------------+ 3 rows in set (0.00 sec)
SELECT [field1,field2,……fieldn] fun_name FROM tablename [WHERE where_contition] [GROUP BY field1,field2,……fieldn [WITH ROLLUP]] [HAVING where_contition]
参数说明：
1、fun_name 表示要做的聚合操作，也就是聚合函数，常用的有 sum（求和）、count(*)（记录数）、max（最大值）、min（最小值）
2、GROUP BY 关键字表示要进行分类聚合的字段，比如要按照部门分类统计员工数量，部门就应该写在 group by 后面。
3、WITH ROLLUP 是可选语法，表明是否对分类聚合后的结果进行再汇总。
4、HAVING 关键字表示对分类后的结果再进行条件的过滤。
注意：having 和 where 的区别在于 having 是对聚合后的结果进行条件的过滤，而 where 是在聚合前就对记录进行过滤，如果逻辑允许，我们尽可能用 where 先过滤记录，这样因为结果集减小，将对聚合的效率大大提高，最后再根据逻辑看是否用 having 进行再过滤。
例1：查询统计goodsorders表中，记录总数
mysql> select count(1) from goodsorders; +----------+ | count(1) | +----------+ | 5 | +----------+ 1 row in set (0.00 sec)
例2：在此基础上，按照创建日期（createtime）进行分组统计
mysql> select createtime,count(1) from goodsorders group by createtime; +------------+----------+ | createtime | count(1) | +------------+----------+ | 2020-03-11 | 1 | | 2020-03-12 | 1 | | 2020-05-12 | 1 | | 2021-03-11 | 2 | +------------+----------+ 4 rows in set (0.00 sec)
例3：在此基础上，既要按照创建日期（cretetime）进行分组统计，又要计算总数
mysql> select createtime,count(1) from goodsorders group by createtime with rollup; +------------+----------+ | createtime | count(1) | +------------+----------+ | 2020-03-11 | 1 | | 2020-03-12 | 1 | | 2020-05-12 | 1 | | 2021-03-11 | 2 | | NULL | 5 | +------------+----------+ 5 rows in set (0.02 sec)
最有一行，null所展示的数字，就是总数
例4：按照创建日期（createtime）进行分组统计，并且数量大于1
mysql> select createtime,count(1) from goodsorders group by createtime having count(1)>1; +------------+----------+ | createtime | count(1) | +------------+----------+ | 2021-03-11 | 2 | +------------+----------+ 1 row in set (0.00 sec)
例5：查询goodsorders表中，订单金额（ordermoney）的总额、最低额、最高额
mysql> select * from goodsorders; +-----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | +-----------+------------+------------+--------------+ | zhang | 2021-03-11 | 50.00 | 1 | | li | 2020-05-12 | 70.00 | 15 | | li | 2020-03-12 | 70.00 | 15 | | li | 2020-03-11 | 70.00 | 15 | | li | 2021-03-11 | 70.00 | 15 | +-----------+------------+------------+--------------+ 5 rows in set (0.00 sec) mysql> select sum(ordermoney),max(ordermoney),min(ordermoney) from goodsorders; +-----------------+-----------------+-----------------+ | sum(ordermoney) | max(ordermoney) | min(ordermoney) | +-----------------+-----------------+-----------------+ | 330.00 | 70.00 | 50.00 | +-----------------+-----------------+-----------------+ 1 row in set (0.02 sec)
1、左连接：包含所有的左边表中的记录甚至是右边表中没有和它匹配的记录；关键指令：left join
2、右连接：包含所有的右边表中的记录甚至是左边表中没有和它匹配的记录；关联指令：right join
例1：现在我们又创建一张用户表（member）,使用goodorders进行左连接，查询关联的用户表信息
mysql> select * from member; +------+------------+ | id | membername | +------+------------+ | 15 | zhang | | 1 | li | | 13 | liss | +------+------------+ 3 rows in set (0.00 sec) mysql> select * from goodsorders; +-----------+------------+------------+--------------+----------+ | ordername | createtime | ordermoney | ordernumbers | memberid | +-----------+------------+------------+--------------+----------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | | li | 2020-05-12 | 70.00 | 15 | 1 | | li | 2020-03-12 | 70.00 | 15 | 1 | | li | 2020-03-11 | 70.00 | 15 | 3 | | li | 2021-03-11 | 70.00 | 15 | 1 | +-----------+------------+------------+--------------+----------+ 5 rows in set (0.00 sec) mysql> select * from goodsorders left join member on goodsorders.memberid = member.id; +-----------+------------+------------+--------------+----------+------+------------+ | ordername | createtime | ordermoney | ordernumbers | memberid | id | membername | +-----------+------------+------------+--------------+----------+------+------------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | 15 | zhang | | li | 2020-05-12 | 70.00 | 15 | 1 | 1 | li | | li | 2020-03-12 | 70.00 | 15 | 1 | 1 | li | | li | 2021-03-11 | 70.00 | 15 | 1 | 1 | li | | li | 2020-03-11 | 70.00 | 15 | 3 | NULL | NULL | +-----------+------------+------------+--------------+----------+------+------------+ 5 rows in set (0.00 sec)
例2：member和goodsorders中数据不变，我们再来看一下右连接的查询，以及结果：
mysql> select * from goodsorders right join member on goodsorders.memberid = member.id; +-----------+------------+------------+--------------+----------+------+------------+ | ordername | createtime | ordermoney | ordernumbers | memberid | id | membername | +-----------+------------+------------+--------------+----------+------+------------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | 15 | zhang | | li | 2020-05-12 | 70.00 | 15 | 1 | 1 | li | | li | 2020-03-12 | 70.00 | 15 | 1 | 1 | li | | li | 2021-03-11 | 70.00 | 15 | 1 | 1 | li | | NULL | NULL | NULL | NULL | NULL | 13 | liss | +-----------+------------+------------+--------------+----------+------+------------+ 5 rows in set (0.00 sec)
这里发生了翻转，变为左侧goodsorders 表中的一条数据为空了
主要包括 in、not in、=、!=、exists、not exists 等
例：从goodsorders表中查询所有用户在memeber表中的记录
mysql> select * from member; +------+------------+ | id | membername | +------+------------+ | 15 | zhang | | 1 | li | | 13 | liss | +------+------------+ 3 rows in set (0.00 sec) mysql> select * from goodsorders; +-----------+------------+------------+--------------+----------+ | ordername | createtime | ordermoney | ordernumbers | memberid | +-----------+------------+------------+--------------+----------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | | li | 2020-05-12 | 70.00 | 15 | 1 | | li | 2020-03-12 | 70.00 | 15 | 1 | | li | 2020-03-11 | 70.00 | 15 | 3 | | li | 2021-03-11 | 70.00 | 15 | 1 | +-----------+------------+------------+--------------+----------+ 5 rows in set (0.00 sec) mysql> select * from goodsorders where memberid in(select id from member); +-----------+------------+------------+--------------+----------+ | ordername | createtime | ordermoney | ordernumbers | memberid | +-----------+------------+------------+--------------+----------+ | zhang | 2021-03-11 | 50.00 | 1 | 15 | | li | 2020-05-12 | 70.00 | 15 | 1 | | li | 2020-03-12 | 70.00 | 15 | 1 | | li | 2021-03-11 | 70.00 | 15 | 1 | +-----------+------------+------------+--------------+----------+ 4 rows in set (0.05 sec)
SELECT * FROM t1 UNION|UNION ALL SELECT * FROM t2 …… UNION|UNION ALL SELECT * FROM tn;
UNION 和 UNION ALL 的主要区别：
UNION ALL 是把结果集直接合并在一起，
UNION 是将UNION ALL 后的结果进行一次 DISTINCT，去除重复记录后的结果。
例1：将member表和goodsorders表中的用户编号id（memberid）的集合显示出来
mysql> select memberid from goodsorders union all select id from member; +----------+ | memberid | +----------+ | 15 | | 1 | | 1 | | 3 | | 1 | | 15 | | 1 | | 13 | +----------+ 8 rows in set (0.00 sec)
例2：如果希望将上面的结果去掉重复记录后显示
mysql> select memberid from goodsorders union select id from member; +----------+ | memberid | +----------+ | 15 | | 1 | | 3 | | 13 | +----------+ 4 rows in set (0.00 sec)
UPDATE tablename SET field1=value1，field2.=value2，……fieldn=valuen [WHERE CONDITION]
例：将表 goodsorders 中ordername为zhang的订单金额（ordermoney）改为50
mysql> update goodsorders set ordermoney=50.00 where ordername='zhang'; Query OK, 1 row affected (0.09 sec) Rows matched: 1 Changed: 1 Warnings: 0 mysql> select * from goodsorders; +-----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | +-----------+------------+------------+--------------+ | zhang | 2021-05-12 | 50.00 | 1 | | zhang1 | 2021-05-12 | 1001.00 | 11 | +-----------+------------+------------+--------------+ 2 rows in set (0.00 sec)
更新时，如遇到错误代码1175：
Error Code: 1175. You are using safe update mode and you tried to update a table without a WHERE that uses a KEY column. To disable safe mode, toggle the option in Preferences
解决方法：
1、先进行状体查询：
show variables like 'SQL_SAFE_UPDATES';
2、执行下面的sql，关闭safe-updates模式：
SET SQL_SAFE_UPDATES = 0;
或者
SET SQL_SAFE_UPDATES = false;
DELETE FROM tablename [WHERE CONDITION]
例：将表 goodsorders 中ordername为zhang1的记录全部删除
mysql> delete from goodsorders where ordername = 'zhang1'; Query OK, 1 row affected (0.06 sec) mysql> select * from goodsorders; +-----------+------------+------------+--------------+ | ordername | createtime | ordermoney | ordernumbers | +-----------+------------+------------+--------------+ | zhang | 2021-05-12 | 50.00 | 1 | +-----------+------------+------------+--------------+ 1 row in set (0.02 sec)
例：将表中的所有数据清空
mysql> select * from varc; +------+------+ | v | c | +------+------+ | abc | abc | +------+------+ 1 row in set (0.03 sec) mysql> truncate table varc; Query OK, 0 rows affected (0.25 sec) mysql> select * from varc; Empty set (0.00 sec)
DCL语句主要是为了管理数据库系统中的操作对象权限
例：创建一个数据库用户 user1,初始密码为123，具有对 ordermanage 数据库中所有表的 SELECT/INSERT 权限：
mysql> grant select,insert on ordermanage.* to 'user1'@'localhost' identified by '123'; Query OK, 0 rows affected, 1 warning (0.06 sec) mysql> exit Bye C:\Program Files\MySQL\MySQL Server 5.7\bin>mysql -uuser1 -p123 mysql: [Warning] Using a password on the command line interface can be insecure. Welcome to the MySQL monitor. Commands end with ; or \g. Your MySQL connection id is 82 Server version: 5.7.17-log MySQL Community Server (GPL) Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved. Oracle is a registered trademark of Oracle Corporation and/or its affiliates. Other names may be trademarks of their respective owners. Type 'help;' or '\h' for help. Type '\c' to clear the current input statement. mysql> show databases; +--------------------+ | Database | +--------------------+ | information_schema | | ordermanage | +--------------------+ 2 rows in set (0.00 sec)
在此基础上，将此用户（user1）的insert权限进行收回
mysql> revoke insert on ordermanage.* from 'user1'@'localhost';
Query OK, 0 rows affected (0.02 sec)
mysql> exit
Bye
C:\Program Files\MySQL\MySQL Server 5.7\bin>mysql -uuser1 -p123
mysql: [Warning] Using a password on the command line interface can be insecure.
Welcome to the MySQL monitor. Commands end with ; or \g.
Your MySQL connection id is 84
Server version: 5.7.17-log MySQL Community Server (GPL)
Copyright (c) 2000, 2016, Oracle and/or its affiliates. All rights reserved.
Oracle is a registered trademark of Oracle Corporation and/or its
affiliates. Other names may be trademarks of their respective
owners.
Type 'help;' or '\h' for help. Type '\c' to clear the current input statement.
mysql> use ordermanage;
Database changed
mysql> insert into member values('11','ss');
ERROR 1142 (42000): INSERT command denied to user 'user1'@'localhost' for table 'member'
mysql>由此可以看出插入权限不足，插入失败
到此，关于“MYSQL表的全面分析”的学习就结束了，希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习，快去试试吧！若想继续学习更多相关知识，请继续关注亿速云网站，小编会继续努力为大家带来更多实用的文章！
免责声明：本站发布的内容（图片、视频和文字）以原创、转载和分享为主，文章观点不代表本网站立场，如果涉及侵权请联系站长邮箱：is@yisu.com进行举报，并提供相关证据，一经查实，将立刻删除涉嫌侵权内容。
