数据库类型空间效率探索（四）-tinyint与enum与set

mysql> select count(*) from userinfo;
+----------+
| count(*) |
+----------+
| 115597 |
+----------+
1 row in set (0.00 sec)

mysql> select concat(truncate(sum(data_length)/1024/1024,3),'MB') as data_size,

-> concat(truncate(sum(max_data_length)/1024/1024,3),'MB') as max_data_leng
th,
-> concat(truncate(sum(data_free)/1024/1024,3),'MB') as data_free,
-> concat(truncate(sum(index_length)/1024/1024,3),'MB') as index_length
-> from information_schema.tables where table_name='userinfo';
+-----------+-----------------+-----------+--------------+
| data_size | max_data_length | data_free | index_length |
+-----------+-----------------+-----------+--------------+
| 21.477MB | 268435455.999MB | 0.000MB | 1.319MB |
+-----------+-----------------+-----------+--------------+

以下测试tinyint

mysql> ALTER TABLE `userinfo`
-> ADD COLUMN `type` tinyint NOT NULL DEFAULT 0 COMMENT '反应类型' AFTER `i
ntegral`;
Query OK, 115597 rows affected (0.54 sec)
Records: 115597 Duplicates: 0 Warnings: 0

mysql> select concat(truncate(sum(data_length)/1024/1024,3),'MB') as data_size,

mysql> insert into userinfo(app,imei,type) values('','0',43);
Query OK, 1 row affected (0.00 sec)

mysql> select concat(round(sum(data_length/1024/1024),3),'MB') as data_size,
-> concat(round(sum(max_data_length/1024/1024),3),'MB') as max_data_length,
-> concat(round(sum(data_free/1024/1024),3),'MB') as data_free,
-> concat(round(sum(index_length/1024/1024),3),'MB') as index_length
-> from information_schema.tables where table_name='userinfo'
-> ;
+-----------+-----------------+-----------+--------------+
| data_size | max_data_length | data_free | index_length |
+-----------+-----------------+-----------+--------------+
| 21.478MB | 268435456.000MB | 0.000MB | 1.319MB |
+-----------+-----------------+-----------+--------------+
1 row in set (0.00 sec)

mysql> update userinfo set type=30;
Query OK, 115598 rows affected (2.70 sec)
Rows matched: 115598 Changed: 115598 Warnings: 0

mysql> select concat(round(sum(data_length/1024/1024),3),'MB') as data_size,
-> concat(round(sum(max_data_length/1024/1024),3),'MB') as max_data_length,
-> concat(round(sum(data_free/1024/1024),3),'MB') as data_free,
-> concat(round(sum(index_length/1024/1024),3),'MB') as index_length
-> from information_schema.tables where table_name='userinfo';
+-----------+-----------------+-----------+--------------+
| data_size | max_data_length | data_free | index_length |
+-----------+-----------------+-----------+--------------+
| 22.038MB | 268435456.000MB | 0.000MB | 1.319MB |
+-----------+-----------------+-----------+--------------+
1 row in set (0.00 sec)

以下测试enum

mysql> select concat(round(sum(data_length/1024/1024),3),'MB') as data_size,
-> concat(round(sum(max_data_length/1024/1024),3),'MB') as max_data_length,
-> concat(round(sum(data_free/1024/1024),3),'MB') as data_free,
-> concat(round(sum(index_length/1024/1024),3),'MB') as index_length
-> from information_schema.tables where table_name='userinfo';
+-----------+-----------------+-----------+--------------+
| data_size | max_data_length | data_free | index_length |
+-----------+-----------------+-----------+--------------+
| 21.478MB | 268435456.000MB | 0.000MB | 1.319MB |
+-----------+-----------------+-----------+--------------+

mysql> ALTER TABLE `userinfo`
-> ADD COLUMN `type` enum('未知','化合','分解','置换','复分解','取代','加成'
,'消去','加聚','酯化','水解','聚合','缩聚','吸热','放热','氧化','还原') AFTER `i
ntegral`;
Query OK, 115597 rows affected (0.63 sec)
Records: 115597 Duplicates: 0 Warnings: 0

mysql> select concat(round(sum(data_length/1024/1024),3),'MB') as data_size,
-> concat(round(sum(max_data_length/1024/1024),3),'MB') as max_data_length,
-> concat(round(sum(data_free/1024/1024),3),'MB') as data_free,
-> concat(round(sum(index_length/1024/1024),3),'MB') as index_length
-> from information_schema.tables where table_name='userinfo';
+-----------+-----------------+-----------+--------------+
| data_size | max_data_length | data_free | index_length |
+-----------+-----------------+-----------+--------------+
| 21.694MB | 268435456.000MB | 0.000MB | 1.319MB |
+-----------+-----------------+-----------+--------------+
1 row in set (0.00 sec)

mysql> update userinfo set type='复分解';
Query OK, 115597 rows affected (2.54 sec)
Rows matched: 115597 Changed: 115597 Warnings: 0

mysql> select concat(round(sum(data_length/1024/1024),3),'MB') as data_size,
-> concat(round(sum(max_data_length/1024/1024),3),'MB') as max_data_length,
-> concat(round(sum(data_free/1024/1024),3),'MB') as data_free,
-> concat(round(sum(index_length/1024/1024),3),'MB') as index_length
-> from information_schema.tables where table_name='userinfo';
+-----------+-----------------+-----------+--------------+
| data_size | max_data_length | data_free | index_length |
+-----------+-----------------+-----------+--------------+
| 21.694MB | 268435456.000MB | 0.000MB | 1.319MB |
+-----------+-----------------+-----------+--------------+
1 row in set (0.00 sec)

以下测试set

mysql> ALTER TABLE `userinfo`
-> ADD COLUMN `type` set('未知','化合','分解','置换','复分解','取代','加成',
'消去','加聚','酯化','水解','聚合','缩聚','吸热','放热','氧化','还原') AFTER `in
tegral`;
Query OK, 115597 rows affected (0.61 sec)
Records: 115597 Duplicates: 0 Warnings: 0

mysql> select concat(round(sum(data_length/1024/1024),3),'MB') as data_size,
-> concat(round(sum(max_data_length/1024/1024),3),'MB') as max_data_length,
-> concat(round(sum(data_free/1024/1024),3),'MB') as data_free,
-> concat(round(sum(index_length/1024/1024),3),'MB') as index_length
-> from information_schema.tables where table_name='userinfo';
+-----------+-----------------+-----------+--------------+
| data_size | max_data_length | data_free | index_length |
+-----------+-----------------+-----------+--------------+
| 21.590MB | 268435456.000MB | 0.000MB | 1.319MB |
+-----------+-----------------+-----------+--------------+
1 row in set (0.01 sec)

mysql> update userinfo set type='加成';
Query OK, 115597 rows affected (3.63 sec)
Rows matched: 115597 Changed: 115597 Warnings: 0

mysql> select concat(round(sum(data_length/1024/1024),3),'MB') as data_size,
-> concat(round(sum(max_data_length/1024/1024),3),'MB') as max_data_length,
-> concat(round(sum(data_free/1024/1024),3),'MB') as data_free,
-> concat(round(sum(index_length/1024/1024),3),'MB') as index_length
-> from information_schema.tables where table_name='userinfo';
+-----------+-----------------+-----------+--------------+
| data_size | max_data_length | data_free | index_length |
+-----------+-----------------+-----------+--------------+
| 23.235MB | 268435456.000MB | 0.000MB | 1.319MB |
+-----------+-----------------+-----------+--------------+
1 row in set (0.00 sec)

mysql> update userinfo set type='加成,取代,消去,放热';
Query OK, 115597 rows affected (4.37 sec)
Rows matched: 115597 Changed: 115597 Warnings: 0

mysql> select concat(round(sum(data_length/1024/1024),3),'MB') as data_size,
-> concat(round(sum(max_data_length/1024/1024),3),'MB') as max_data_length,
-> concat(round(sum(data_free/1024/1024),3),'MB') as data_free,
-> concat(round(sum(index_length/1024/1024),3),'MB') as index_length
-> from information_schema.tables where table_name='userinfo';
+-----------+-----------------+-----------+--------------+
| data_size | max_data_length | data_free | index_length |
+-----------+-----------------+-----------+--------------+
| 23.235MB | 268435456.000MB | 0.000MB | 1.319MB |
+-----------+-----------------+-----------+--------------+
1 row in set (0.01 sec)

数据库类型空间效率探索（四）-tinyint与enum与set的更多相关文章

数据库类型空间效率探索（五）- decimal/float/double/varchar
以下测试为userinfo增加一列,列类型分别为decimal.float.double.varchar.由于innodb不支持optimize,所以每次测试,都会删除表test.userinfo,重 ...
数据库类型空间效率探索（三）-char
测试环境表信息表数据量22.23万,占用空间44.494M 用到的sql语句增加列:alter table t_type add column new_column char(1) defaul ...
Oracle数据库类型
Oracle数据库类型字符类型char[(length)] 定长字符最长2000字节varchar2[(length)] 可变长度的字符数据类型,最长4000字节NCHAR[(length)] 固 ...
MySql数据库优化必须注意的四个细节（方法）
MySQL 数据库性能的优化是 MySQL 数据库发展的必经之路, MySQL 数据库性能的优化也是 MySQL 数据库前进的见证,下文中将从从4个方面给出了 MySQL 数据库性能优化的方法. 1. ...
数据库表空间收缩之pg_squeeze，pg_repack
数据库表空间收缩之pg_squeeze,pg_repack 目录数据库表空间收缩之pg_squeeze,pg_repack pg_squeeze1.2 原理优点安装使用 pgstattuple ...
oracle数据库表空间追加数据库文件方法
oracle数据库表空间追加数据库文件方法针对非大文件方式表空间,允许追加文件进行表空间的扩展,单个文件最大大小是32G 第一种方式:表空间增加数据文件 www.2cto.com 1 ...
Java与数据库类型对照表
数据库类型 Java类型 INTEGER int or java.lang.Integer BIGINT long or java.lang.Long SMALLINT short o ...
Spring MVC动态切换数据源（多数据库类型）
最近由于项目需求,需要将Sql Server 和 Mysql 两种数据库整合到一个项目,项目的用到的框架是SSM. 因此尝试了利用AOP切面来切每次执行的Servcie方法,根据Service所在的包 ...
[C#]实现任何数据库类型的DbHelper帮助类
本文章为原创内容,如需转载,请注明作者及出处,谢谢! 一.在System.Data.Common命名空间下,存在这样的一个类: // // 摘要: // 表示一组方法,这些方法用于创建提供程序对数据源 ...

随机推荐

python库：bs4，BeautifulSoup库、Requests库
Beautiful Soup https://www.crummy.com/software/BeautifulSoup/bs4/doc.zh/ Beautiful Soup 4.2.0 文档 htt ...
Python学习笔记_week2_列表、元组、字典、字符串、文件、i编码
一. 列表.元组 names=["A","B","C","D"] print(names) print(names[0] ...
web session 原理1
原理我们都知道,浏览器无状态的.浏览器是操作不了session的,浏览器能够做的只是传递cookie,每次都传递. 把当前主机下的,和当前请求相同域下的cookie 传递到服务器去,只要cooki ...
Linux 虚拟机的安全加固建议
1.修改用户的密码口令策略: [root@centos-73-1 chpaadmin]# cat /etc/login.defs |grep -i pass # passwd command) s ...
Flex的一些小实例
1,以上是一个导航菜单 2一下是一个撑开的mx:Spacer
转载：approxPolyDP函数
本文转载http://blog.csdn.net/qq_18343569/article/details/47999257 1.approxPolyDP函数函数的作用: 对图像轮廓点进行多边形拟合 ...
asp.net(C#)文件操作
//创建文件夹路径 string path = "\\Files\\"; //判断文件夹是否存在 if (!Directory.Exists(path)) { Direct ...
react-native-picker 实现省市区时间日期组件
github示例以及详细参数:https://github.com/beefe/react-native-picker 先安装 link npm install react-native-picke ...
day30-模块和包
一.模块介绍 1.什么是模块在python中,一个函数封装一个功能,当一个文件中包含很多个函数,而我们在其他程序中经常会用到这个文件中的功能时,那么我们就可以将这个包含多个函数的文件封装成一个模块, ...
centos7 Apache 2.4.6 多域名多网站配置
Apache 2.4.6 多域名多网站配置在/etc/httpd/conf 下编辑 vim httpd.conf 添加:ServerName 外网IP 并注释 #DocumentRoot &quo ...

数据库类型空间效率探索（四）-tinyint与enum与set

数据库类型空间效率探索（四）-tinyint与enum与set的更多相关文章

随机推荐

热门专题