zoukankan      html  css  js  c++  java
  • 数据库类型空间效率探索(二)

    今天晚上在家里面的电脑上,又对userinfo.onLineTimeArray列进行同样方式的测试,通过数据库类型定义效率探索(一)与这篇博客,得出结论。

    1、在表接近5万的数据量下,一个字段设置为char、varchar、text后,该表占用的空间并没有太大的差别,根据该字段查询的速度,也没有明显的差别。

    2、varchar(50)与varchar(1500),占用的表空间是一样的。表占用空间的大小主要还是由表里面的数据决定。

    3、表空间的大小还与列的存在有微弱的关系。如有onLineTimeArray字段比没有onLineTimeArray字段要大5.784-5.741=0.043M。

    下面是测试记录:

    总数量:46416 

    字段类型:

    | onLineTimeArray | varchar(1500) | YES  |     | NULL    |                |

    userinfo表占用空间data_size

    +-----------+-----------------+-----------+--------------+
    | data_size | max_data_length | data_free | index_length |
    +-----------+-----------------+-----------+--------------+
    | 9.323MB | 268435455.999MB | 0.000MB | 0.540MB |
    +-----------+-----------------+-----------+--------------+

    模糊查询

    mysql> select count(*) from userinfo where onLineTimeArray like '%1%';
    +----------+
    | count(*) |
    +----------+
    | 33064 |
    +----------+
    1 row in set (0.09 sec)

    然后修改onLineTimeArray:varchar(1500) default null->text(1500) not null,并模糊查询,然后查看表占用空间,如下:

    mysql> alter table userinfo modify onLineTimeArray text(1500) not null default '';
    ERROR 1101 (42000): BLOB/TEXT column 'onLineTimeArray' can't have a default value
    mysql> alter table userinfo modify onLineTimeArray text not null;
    Query OK, 46416 rows affected (0.73 sec)
    Records: 46416 Duplicates: 0 Warnings: 0

    mysql> select count(*) from userinfo where onLineTimeArray like '%1%';
    +----------+
    | count(*) |
    +----------+
    | 33064 |
    +----------+
    1 row in set (0.09 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_length,
    -> 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 |
    +-----------+-----------------+-----------+--------------+
    | 9.336MB | 268435455.999MB | 0.000MB | 0.540MB |
    +-----------+-----------------+-----------+--------------+
    1 row in set (0.01 sec)

    可以看到查询,用了0.09ms,比varchar(1500)要慢0.01ms;表空间增加了9.336MB-9.323MB=0.013M。

    结论:在46416数据量下,对于表中字段类型,char、varchar、text并不能明显的影响表占用空间的大小与查询的速度。

    --------------------------------------------------------------------------------------------------------------

    将userinfo还原回来,然后执行下面的sql语句

    mysql> desc userinfo;
    +-----------------+---------------+------+-----+---------+----------------+
    | Field | Type | Null | Key | Default | Extra |
    +-----------------+---------------+------+-----+---------+----------------+
    | _id | int(11) | NO | PRI | NULL | auto_increment |
    | imei | varchar(25) | NO | | | |
    | releas | varchar(25) | YES | | NULL | |
    | phoneNum | varchar(16) | YES | | NULL | |
    | app | varchar(30) | NO | | | |
    | versionCode | int(11) | YES | | 0 | |
    | versionName | varchar(6) | YES | | NULL | |
    | location | varchar(1100) | YES | | NULL | |
    | onLineTimeArray | varchar(1500) | YES | | NULL | |
    | integral | int(11) | YES | | 10 | |
    | date | varchar(19) | YES | | NULL | |
    +-----------------+---------------+------+-----+---------+----------------+
    11 rows in set (0.01 sec)

    mysql> select count(*) from userinfo;
    +----------+
    | count(*) |
    +----------+
    | 46416 |
    +----------+
    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_lengt
    h,
    -> 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 |
    +-----------+-----------------+-----------+--------------+
    | 9.323MB | 268435455.999MB | 0.000MB | 0.540MB |
    +-----------+-----------------+-----------+--------------+
    1 row in set (0.01 sec)

    清空onLineTimeArray的数据,并用引号('')替换

    mysql> update userinfo set onLineTimeArray='';
    Query OK, 33192 rows affected (1.76 sec)
    Rows matched: 46416 Changed: 33192 Warnings: 0

    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_length,
    -> 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 |
    +-----------+-----------------+-----------+--------------+
    | 9.323MB | 268435455.999MB | 2.933MB | 0.540MB |
    +-----------+-----------------+-----------+--------------+
    1 row in set (0.01 sec)

    mysql> optimize table userinfo;
    +---------------------+----------+----------+----------+
    | Table | Op | Msg_type | Msg_text |
    +---------------------+----------+----------+----------+
    | swanflysql.userinfo | optimize | status | OK |
    +---------------------+----------+----------+----------+
    1 row in set (0.34 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_lengt
    h,
    -> 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 |
    +-----------+-----------------+-----------+--------------+
    | 5.784MB | 268435455.999MB | 0.000MB | 0.454MB |
    +-----------+-----------------+-----------+--------------+
    1 row in set (0.01 sec)

    此时onLineTimeArray字段:
    | onLineTimeArray | varchar(1500) | YES  |     | NULL    |                |

    将onLineTimeArray 改为:varchar(1500) default null->varchar(50) default null

    mysql> alter table userinfo modify onLineTimeArray varchar(50) default null;
    Query OK, 46416 rows affected (0.53 sec)
    Records: 46416 Duplicates: 0 Warnings: 0

    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_lengt
    h,
    -> 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 |
    +-----------+-----------------+-----------+--------------+
    | 5.784MB | 268435455.999MB | 0.000MB | 0.540MB |
    +-----------+-----------------+-----------+--------------+
    1 row in set (0.01 sec)

    可以看到data_size并没有改变,index_length增加了0.540-0.454MB=0.086M

    接着测试,将onLineTimeArray:varchar(50) default null->char(50) default null;

    结果没有变。

    再接着测试,将onLineTimeArray这一列删掉

    mysql> alter table userinfo drop onLineTimeArray;
    Query OK, 46416 rows affected (0.62 sec)
    Records: 46416 Duplicates: 0 Warnings: 0

    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_lengt
    h,
    -> 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 |
    +-----------+-----------------+-----------+--------------+
    | 5.741MB | 268435455.999MB | 0.000MB | 0.540MB |
    +-----------+-----------------+-----------+--------------+
    1 row in set (0.01 sec)

    data_size减少了5.784-5.741=0.043M。

  • 相关阅读:
    在线加密解密
    ctcms Nginx 伪静态
    iTem2 保持连接,解决ssh的"Write failed: Broken pipe"问题
    打开窗口弹出页面
    点击弹窗
    javascript 技巧
    使用Chrome工具来分析页面的绘制状态
    jquery结合JSONP教程—明河谈jquery
    使用 JSONP 实现跨域通信,第 1 部分: 结合 JSONP 和 jQuery 快速构建强大的 mashup
    jsonp详解
  • 原文地址:https://www.cnblogs.com/shixm/p/5507184.html
Copyright © 2011-2022 走看看