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

14.纯 CSS 创作一种侧立图书的特效
原文地址:https://segmentfault.com/a/1190000014751037 HTML代码: <div class="books"> <div ...
《算法》第二章部分程序 part 2
▶ 书中第二章部分程序,加上自己补充的代码,包括若干种归并排序,以及利用归并排序计算数组逆序数 ● 归并排序 package package01; import java.util.Comparato ...
django之Model类
Model是model的基类,该类的metaclass是modelbase,在生成model类对象时是采用modelbase的.django.setup()时,apps会把app建立app_confi ...
springboot 整合 redis 共享Session-spring-session-data-redis
参考:https://www.cnblogs.com/ityouknow/p/5748830.html 如何使用 1.引入 spring-boot-starter-redis <dependen ...
leetcode1017
这道题目很巧妙,似乎是有些过于巧妙了,属于我未知领域的类型,把原作者的解决方案放这里.(看大家都在给差评,我也顺手给个差评吧--) 参考:https://leetcode.com/problems/c ...
nodejs爬虫设置动态userAgent
动态 userAgent 这是我收集到的常用的浏览器头部信息,每次爬取的时候从中随机选取一个,并使用 superAgent 设置请求头部的 User-Agent 字段就好了. userAgent.js ...
beego orm 时间相差八小时
使用beego框架,前端调用api插入一条数据到mysql,时间差了8个小时,fuck!!! 解决办法: 在db的url后面加上时区- dbDataSource = root:test@tcp(192 ...
【JEECG技术文档】Online唯一校验使用说明
1.功能介绍配置了唯一校验的字段,在录入和编辑页面中,动态查询用户输入值是否存在校验. 要使用online唯一校验功能必须先在online表单开发中配置唯一字段的校验方式为唯一校验. 2.配置唯一校 ...
django--用户认证组件
用户认证组件用户认证组件: 功能:用session记录登录验证状态前提:用户表:django自带的auth_user 创建超级用户: python3 manage.py createsuperus ...
ssm框架之配置日志系统打印到控制台与指定文件
前提: 0:ssm框架已经搭建并且成功运行 1.maven环境配置成功 2.tomcat配置成功,并且配置本机的tomcat环境变量内容: 0.导入所需要的jar包 <!-- 配置log4j日 ...

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