https://www.adayinthelifeof.nl/2010/12/04/about-using-utf-8-fields-in-mysql/

I sometimes hear: “make everything utf-8 in your database, and all will be fine”. This so-called advice could not be further from the truth. Indeed, it will take care of internationalization and code-page problems when you use UTF-8, but it comes with a price, which may be too high for you to pay, especially if you have never realized it’s there..Indexing is everything… or at least.. good indexing makes or breaks your database. The fact remains: the smaller your indexes, the more index records can be loaded into memory and the faster the searches will be. So using small indexes pays off. Period.  But what has got this to do with UTF-8?

First off: beware of the VARCHAR

As you know, a VARCHAR field can hold a variable amount of data in which you only supply the maximum amount that you can store. So a VARCHAR(255) can hold 255 characters, but when you store only 5 characters, it will only use 5 characters of data. The other 250 are not lost. This is completely different than using a CHAR(255) where storing a 5 character string results in padding of 250 characters. So VARCHAR() has a big advantage over CHAR() when you have variable sized strings. But you have to realize that this advantage is for disk storage only. It does not apply to any other data structure that MySQL uses internally or for indexes.

How MySQL treats varchars

When MySQL needs to sort records, it must create some space for sorting that data. This space allocation is done before the actual sorting takes place. This however, means that MySQL needs to know how much memory it needs to allocate. When we need to sort VARCHAR fields, MySQL will take care of this by allocating the worst-case memory usage, which is the maximum size a VARCHAR field can take. For example: when you have declared a field as VARCHAR(100), MySQL will reserve space for 100 characters plus an additional 1 or 2 bytes for holding the length of the string (1 when the length is 255 or less, 2 otherwise). So this will bust the myth that “you can safely use VARCHAR(255)  for all fields without problems”.

Characters and bytes: or the UTF8-problem

Did you notice that I talk about “characters” and “bytes”? That’s because those two terms are not the same. A byte equals 8 bits, and can hold any number ranging from 0 to 255 (or -128..127, if you have read my two complement blog). The size of a character however, depends on the character encoding used and here is where the UTF-8 “problem” kicks in. Back in the old days, where most people stored strings in a latin1 charset, every character could be stored in a single byte. Thus: varchar(100) would be 100 bytes (+1 for the length). But this is not enough to hold ALL characters in the world (for instance, arabic and japanese characters cannot be stored in latin1). That’s why UTF-8 can use multiple bytes for some characters. The “standard” characters will be stored in 1 byte so most utf8 strings are almost the same size as latin1 strings, but when you need different characters it can use up to 4 bytes per character. If you like to know more about UTF-8, there are excellent other blogs about it.

You just have to realize that MySQL only uses a maximum of 3 bytes for UTF-8, which means not ALL utf-8 characters can be stored in MySQL, but most of the UTF-8 characters possible aren’t used anyway..  That’s why it might get confusing when reading upon UTF-8 that uses 4 bytes, and the 3 bytes that MySQL uses.

Let’s define a table with an index:

CREATE TABLE `tbl` (
`id` int(10) unsigned NOT NULL auto_increment,
`first_name` varchar(100) character set latin1 collate latin1_general_ci NOT NULL,
`last_name` varchar(100) character set latin1 collate latin1_general_ci NOT NULL,
`birth_date` date NOT NULL,
PRIMARY KEY (`id`),
KEY `first_name` (`first_name`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1

This creates a simple table with a primary index on ID and only an index on ‘first_name’. You need to add at least 2 rows, otherwise the explain will not work correctly for this example. So add some data and  find out what index will be used when issuing the following query:

EXPLAIN SELECT * FROM tbl WHERE first_name LIKE 'joshua';

输出:

+----+-------------+-------+-------+---------------+------------+---------+------+------+-------------+
| id | select_type | table | type  | possible_keys | key        | key_len | ref  | rows | Extra       |
+----+-------------+-------+-------+---------------+------------+---------+------+------+-------------+
|  1 | SIMPLE      | tbl   | range | first_name    | first_name | 102     | NULL |    1 | Using where |
+----+-------------+-------+-------+---------------+------------+---------+------+------+-------------+
1 row in set (0.00 sec)

The most important field here is the key_len. This field is 102
bytes. 100 bytes for the VARCHAR(100), since it’s encoded with latin-1.
The additional 2 bytes here are the length-bytes.

Now, let’s adjust the fields to UTF-8:

ALTER  TABLE  `tbl`  CHANGE  `first_name`  `first_name` VARCHAR( 100  )  CHARACTER  SET utf8 COLLATE utf8_general_ci NOT  NULL;
EXPLAIN SELECT * FROM tbl WHERE first_name LIKE 'joshua';

输出:

+----+-------------+-------+-------+---------------+------------+---------+------+------+-------------+
| id | select_type | table | type  | possible_keys | key        | key_len | ref  | rows | Extra       |
+----+-------------+-------+-------+---------------+------------+---------+------+------+-------------+
|  1 | SIMPLE      | tbl   | range | first_name    | first_name | 302     | NULL |    1 | Using where |
+----+-------------+-------+-------+---------------+------------+---------+------+------+-------------+
1 row in set (0.00 sec)

Immediately you should see the impact. The key_len is 200 bytes
larger, which means that we can hold less index-records in memory, which
means more disk reads which means a slower database.

But it doesn’t stop at the indexes. As said, this limitation is for
all internal buffers. All temporary sorting uses fixed length buffers
and tables that are sorted in memory when using latin1, could just as
easily be moved to a temporary table on disk because of it’s size. It
WILL perform less efficient because of more disk reads and writes.

Conclusion:

MySQL and it’s internal working can be insanely complex. It’s
important to never assume anything and test everything. Don’t convert
everything to UTF-8 just because.. but make sure you have good reasons
NOT to use a single-byte encoding like latin1. If you need to use the
UTF-8 encoding, then make sure that you use the correct sizes. Don’t
make everything VARCHAR(255) so at least you can store really long
names. The penalties for “disrespecting” the database can and will be
severe.. :)

About using UTF-8 fields in MySQL的更多相关文章

  1. 总结: MySQL(基础,字段约束,索引,外键,存储过程,事务)操作语法

    1. 显示数据库列表 show databases; # 查看当前所有数据库 show databases \G   #以行的方式显示 2. 在命令行中,执行sql语句 mysql -e 'show ...

  2. 2-14-1 MySQL基础语句,查询语句

    一. SQL概述 结构化查询语言(Structured Query Language)简称SQL 1. 它是一种特殊目的的编程语言 2. 它还是一种数据库查询和程序设计语言 (用于存取数据以及查询.更 ...

  3. MySQL基础知识:Character Set和Collation

    A character set is a set of symbols and encodings. A collation is a set of rules for comparing chara ...

  4. 2003031121——浦娟——Python数据分析第七周作业——MySQL的安装及使用

    项目 要求 课程班级博客链接 20级数据班(本) 作业要求链接 Python第七周作业 博客名称 2003031121--浦娟--Python数据分析第七周作业--MySQL的安装及使用 要求 每道题 ...

  5. tshark 抓包分析

    一,安装#yum install -y wireshark 二.具体使用案例 1.抓取500个包,提取访问的网址打印出来tshark -s 0 -i eth0 -n -f 'tcp dst port ...

  6. ElasticSearch学习记录

    中文api 什么是集群? 集群(cluster) >由一个或多个节点组织在一起. >由一个唯一的名字标识,默认为"elasticsearch". 节点(node) &g ...

  7. Wireshark命令行工具tshark

    Wireshark命令行工具tshark 1.目的 写这篇博客的目的主要是为了方便查阅,使用wireshark可以分析数据包,可以通过编辑过滤表达式来达到对数据的分析:但我的需求是,怎么样把Data部 ...

  8. tshark 使用说明

    yum install -y wireshark 最近才发现,原来wireshark也提供有Linux命令行工具-tshark.tshark不仅有抓包的功能,还带了解析各种协议的能力.下面我们以两个实 ...

  9. 结构体 row_prebuilt_t

    typedef struct row_prebuilt_struct row_prebuilt_t; /** A struct for (sometimes lazily) prebuilt stru ...

随机推荐

  1. Oracle 11g-R2 SQL Developer连接MSSQL2008

    操作系统环境:WINDOWS8.1 工具: Oracle 11g-R2  SQL Developer 网络资源:http://sourceforge.net/project/showfiles.php ...

  2. Oracle 日期类型timestamp(时间戳)和date类型使用

    body { font-family: "Microsoft YaHei UI","Microsoft YaHei",SimSun,"Segoe UI ...

  3. 求两个数的最大公约数(Euclid算法)

    求两个数 p 和 q 的最大公约数(greatest common divisor,gcd),利用性质 如果 p > q, p 和 q 的最大公约数 = q 和 (p % q)的最大公约数. 证 ...

  4. C++静态成员函数访问非静态成员的几种方法

    大家都知道C++中类的成员函数默认都提供了this指针,在非静态成员函数中当你调用函数的时候,编译器都会“自动”帮你把这个this指针加到函数形参里去.当然在C++灵活性下面,类还具备了静态成员和静态 ...

  5. JavaScript 输入自动完成插件

    作为web开发的一员,应该都不陌生,信息处理时,很多时候需要根据用户的输入实时反馈查询结果供其选择,这给了用户很好的人机交互体验,在各大门户网站上已经被使用的很成熟了,最近项目中用到此功能,网上有很多 ...

  6. Python 关于正负无穷float(‘inf’)的一些用法

    Python中可以用如下方式表示正负无穷: float("inf"), float("-inf") 利用 inf 做简单加.乘算术运算仍会得到 inf > ...

  7. 【转】改善C#程序的建议2:C#中dynamic的正确用法 空间

    dynamic是FrameWork4.0的新特性.dynamic的出现让C#具有了弱语言类型的特性.编译器在编译的时候不再对类型进行检查,编译期默认dynamic对象支持你想要的任何特性.比如,即使你 ...

  8. tornado远远不止

    大家的回答都有点片面,更多的关注web框架成,其实tornado远远不止这些,且听我慢慢到来1.高性能的网络库,这可以和gevent,twisted,libevent等做对.提供了异步io支持,超时事 ...

  9. bzoj 2226: [Spoj 5971] LCMSum 数论

    2226: [Spoj 5971] LCMSum Time Limit: 20 Sec  Memory Limit: 259 MBSubmit: 578  Solved: 259[Submit][St ...

  10. bzoj 1059: [ZJOI2007]矩阵游戏 二分图匹配

    1059: [ZJOI2007]矩阵游戏 Time Limit: 10 Sec  Memory Limit: 162 MBSubmit: 1891  Solved: 919[Submit][Statu ...