mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

时间:2023-03-09 01:06:08
mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

没有索引时mysql是如何查询到数据的

  索引对查询的速度有着至关重要的影响,理解索引也是进行数据库性能调优的起点。考虑如下情况,假设数据库中一个表有10^6条记录,DBMS的页面大小为4K,并存储100条记录。如果没有索引,查询将对整个表进行扫描,最坏的情况下,如果所有数据页都不在内存,需要读取10^4个页面,如果这10^4个页面在磁盘上随机分布,需要进行10^4次I/O,假设磁盘每次I/O时间为10ms(忽略数据传输时间),则总共需要100s(但实际上要好很多很多)。如果对之建立B-Tree索引,则只需要进行log100(10^6)=3次页面读取,最坏情况下耗时30ms。这就是索引带来的效果,很多时候,当你的应用程序进行SQL查询速度很慢时,应该想想是否可以建索引。

进入正题:

一、什么是索引?   

  索引(在MYSQL中也叫做键<key>),是存储引擎用于快速找到记录的一种数据结构。索引用来快速地寻找那些具有特定值的记录,所有MySQL索引都以B-树的形式保存。如果没有索引,执行查询时MySQL必须从第一个记录开始扫描整个表的所有记录,直至找到符合要求的记录。表里面的记录数量越多,这个操作的代价就越高。如果作为搜索条件的列上已经创建了索引,MySQL无需扫描任何记录即可迅速得到目标记录所在的位置。如果表有1000个记录,通过索引查找记录至少要比顺序扫描记录快100倍。

  索引对查询的速度有着至关重要的影响,理解索引也是进行数据库性能调优的起点。考虑如下情况,假设数据库中一个表有10^6条记录,DBMS的页面大小为4K,并存储100条记录。如果没有索引,查询将对整个表进行扫描,最坏的情况下,如果所有数据页都不在内存,需要读取10^4个页面,如果这10^4个页面在磁盘上随机分布,需要进行10^4次I/O,假设磁盘每次I/O时间为10ms(忽略数据传输时间),则总共需要100s(但实际上要好很多很多)。如果对之建立B-Tree索引,则只需要进行log100(10^6)=3次页面读取,最坏情况下耗时30ms。这就是索引带来的效果,很多时候,当你的应用程序进行SQL查询速度很慢时,应该想想是否可以建索引。

索引优化应该是对查询性能优化最有效的手段了,索引能够轻易将查询性能提高几个数量级,”最优“的索引有时比一个”好的“索引性能要好两个数量级。创建一个真正”最优“的索引经常要重写查询。

二、索引的类型

从数据结构角度

1、B+树索引(O(log(n))):关于B+树索引,可以参考 MySQL索引背后的数据结构及算法原理

2、hash索引:
a 仅仅能满足"=","IN"和"<=>"查询,不能使用范围查询
b 其检索效率非常高,索引的检索可以一次定位,不像B-Tree 索引需要从根节点到枝节点,最后才能访问到页节点这样多次的IO访问,所以 Hash 索引的查询效率要远高于 B-Tree 索引
c 只有Memory存储引擎显示支持hash索引

3、FULLTEXT索引(现在MyISAM和InnoDB引擎都支持了)

4、R-Tree索引(用于对GIS数据类型创建SPATIAL索引)

从物理存储角度

1、聚集索引(clustered index)

2、非聚集索引(non-clustered index)

从逻辑角度

1、主键索引:主键索引是一种特殊的唯一索引,不允许有空值

2、普通索引或者单列索引

3、多列索引(复合索引):复合索引指多个字段上创建的索引,只有在查询条件中使用了创建索引时的第一个字段,索引才会被使用。使用复合索引时遵循最左前缀集合

4、唯一索引或者非唯一索引

5、空间索引:空间索引是对空间数据类型的字段建立的索引,MYSQL中的空间数据类型有4种,分别是GEOMETRY、POINT、LINESTRING、POLYGON。MYSQL使用SPATIAL关键字进行扩展,使得能够用于创建正规索引类型的语法创建空间索引。创建空间索引的列,必须将其声明为NOT NULL,空间索引只能在存储引擎为MYISAM的表中创建

三、索引的类型的详解

3.1MySQL提供多种索引类型(按照逻辑角度分)供选择:

3.1.1普通索引
这是最基本的索引类型,而且它没有唯一性之类的限制。普通索引可以通过以下几种方式创建: 
创建索引,例如CREATE INDEX <索引的名字> ON tablename (列的列表); 
修改表,例如ALTER TABLE tablename ADD INDEX [索引的名字] (列的列表); 
创建表的时候指定索引,例如CREATE TABLE tablename ( [...], INDEX [索引的名字] (列的列表) );

3.1.2唯一性索引 
这种索引和前面的“普通索引”基本相同,但有一个区别:索引列的所有值都只能出现一次,即必须唯一。唯一性索引可以用以下几种方式创建: 
创建索引,例如CREATE UNIQUE INDEX <索引的名字> ON tablename (列的列表); 
修改表,例如ALTER TABLE tablename ADD UNIQUE [索引的名字] (列的列表); 
创建表的时候指定索引,例如CREATE TABLE tablename ( [...], UNIQUE [索引的名字] (列的列表) );

3.1.3主键
主键是一种唯一性索引,但它必须指定为“PRIMARY KEY”。如果你曾经用过AUTO_INCREMENT类型的列,你可能已经熟悉主键之类的概念了。主键一般在创建表的时候指定,例如“CREATE TABLE tablename ( [...], PRIMARY KEY (列的列表) ); ”。但是,我们也可以通过修改表的方式加入主键,例如“ALTER TABLE tablename ADD PRIMARY KEY (列的列表); ”。每个表只能有一个主键。

3.1.4全文索引 
MySQL从3.23.23版开始支持全文索引和全文检索。在MySQL中,全文索引的索引类型为FULLTEXT。全文索引可以在VARCHAR或者 TEXT类型的列上创建。它可以通过CREATE TABLE命令创建,也可以通过ALTER TABLE或CREATE INDEX命令创建。对于大规模的数据集,通过ALTER TABLE(或者CREATE INDEX)命令创建全文索引要比把记录插入带有全文索引的空表更快。本文下面的讨论不再涉及全文索引,要了解更多信息,请参见MySQL documentation。 详细见:mysql全文索引

3.1.5单列索引与多列索引 
索引可以是单列索引,也可以是多列索引。下面我们通过具体的例子来说明这两种索引的区别。

示例:假设有这样一个people表:

CREATE TABLE people ( peopleid SMALLINT NOT NULL AUTO_INCREMENT, firstname CHAR(50) NOT NULL, lastname CHAR(50) NOT NULL, age SMALLINT NOT NULL, townid SMALLINT NOT NULL, PRIMARY KEY (peopleid) ); 

下面是我们插入到这个people表的数据: 
这个数据片段中有四个名字为“Mikes”的人(其中两个姓Sullivans,两个姓McConnells),有两个年龄为17岁的人,还有一个名字与众不同的Joe Smith。

这个表的主要用途是根据指定的用户姓、名以及年龄返回相应的peopleid。例如,我们可能需要查找姓名为Mike Sullivan、年龄17岁用户的peopleid(SQL命令为SELECT peopleid FROM people WHERE firstname='Mike' AND lastname='Sullivan' AND age=17;)。由于我们不想让MySQL每次执行查询就去扫描整个表,这里需要考虑运用索引。

首先,我们可以考虑在单个列上创建索引,比如firstname、lastname或者age列。如果我们创建firstname列的索引(ALTER TABLE people ADD INDEX firstname (firstname);),MySQL将通过这个索引迅速把搜索范围限制到那些firstname='Mike'的记录,然后再在这个“中间结果集”上 进行其他条件的搜索:它首先排除那些lastname不等于“Sullivan”的记录,然后排除那些age不等于17的记录。当记录满足所有搜索条件之 后,MySQL就返回最终的搜索结果。

由于建立了firstname列的索引,与执行表的完全扫描相比,MySQL的效率提高了很多,但我们要求MySQL扫描的记录数量仍旧远远超过了实际所 需要的。虽然我们可以删除firstname列上的索引,再创建lastname或者age列的索引,但总地看来,不论在哪个列上创建索引搜索效率仍旧相 似。

为了提高搜索效率,我们需要考虑运用多列索引。如果为firstname、lastname和age这三个列创建一个多列索引,一个多列索引可以由最多15个列组成。MySQL只需一次检索就能够找出正确的结果!下面是创建这个多列索引的SQL命令:

ALTER TABLE people ADD INDEX fname_lname_age (firstname,lastname,age); 

由于索引文件以B-树格式保存,MySQL能够立即转到合适的firstname,然后再转到合适的lastname,最后转到合适的age。在没有扫描数据文件任何一个记录的情况下,MySQL就正确地找出了搜索的目标记录!

那么,如果在firstname、lastname、age这三个列上分别创建单列索引,效果是否和创建一个firstname、lastname、 age的多列索引一样呢?答案是否定的,两者完全不同。当我们执行查询的时候,MySQL只能使用一个索引。如果你有三个单列的索引,MySQL会试图选择一个限制最严格的索引。但是,即使是限制最严格的单列索引,它的限制能力也肯定远远低于firstname、lastname、age这三个列上的多列索引。

3.1.6最左前缀 
多列索引还有另外一个优点,它通过称为最左前缀(Leftmost Prefixing)的概念体现出来。继续考虑前面的例子,现在我们有一个firstname、lastname、age列上的多列索引,我们称这个索引 为fname_lname_age。当搜索条件是以下各种列的组合时,MySQL将使用fname_lname_age索引: 
firstname,lastname,age 
firstname,lastname 
firstname 
从另一方面理解,它相当于我们创建了(firstname,lastname,age)、(firstname,lastname)以及(firstname)这些列组合上的索引。下面这些查询都能够使用这个fname_lname_age索引:

SELECT peopleid FROM people WHERE firstname='Mike' AND lastname='Sullivan' AND age='';
SELECT peopleid FROM people WHERE firstname='Mike' AND lastname='Sullivan';
SELECT peopleid FROM people WHERE firstname='Mike'; #The following queries cannot use the index at all:
SELECT peopleid FROM people WHERE lastname='Sullivan';
SELECT peopleid FROM people WHERE age='';
SELECT peopleid FROM people WHERE lastname='Sullivan' AND age='';

3.1.7空间索引

使用SPATIAL参数可以设置索引为空间索引。空间索引只能建立在空间数据类型上,这样可以提高系统获取空间数据的效率。MySQL中的空间数据类型包括GEOMETRY和POINT、LINESTRING和POLYGON等。目前只有MyISAM存储引擎支持空间检索,而且索引的字段不能为空值。对于初学者来说,这类索引很少会用到。

3.2、索引的类型(从数据结构角度)

索引是在存储引擎中实现的,而不是在服务器层中实现的。所以,每种存储引擎的索引都不一定完全相同,并不是所有的存储引擎都支持所有的索引类型。

3.2.1、B-Tree索引

B-Tree:每一个叶子节点都包含指向下一个叶子节点的指针,从而方便叶子节点的范围遍历。B-Tree通常意味着所有的值都是按顺序存储的,并且每一个叶子页到根的距离相同,很适合查找范围数据。

B+树是一个平衡的多叉树,从根节点到每个叶子节点的高度差值不超过1,而且同层级的节点间有指针相互链接。

在B+树上的常规检索,从根节点到叶子节点的搜索效率基本相当,不会出现大幅波动,而且基于索引的顺序扫描时,也可以利用双向指针快速左右移动,效率非常高。

因此,B+树索引被广泛应用于数据库、文件系统等场景。顺便说一下,xfs文件系统比ext3/ext4效率高很多的原因之一就是,它的文件及目录索引结构全部采用B+树索引,而ext3/ext4的文件目录结构则采用Linked list, hashed B-tree、Extents/Bitmap等索引数据结构,因此在高I/O压力下,其IOPS能力不如xfs。

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" alt="" />
假设有如下一个表:

CREATE TABLE People (
last_name varchar(50) not null,
first_name varchar(50) not null,
dob date not null,
gender enum('m', 'f') not null,
key(last_name, first_name, dob)
);

其索引包含表中每一行的last_name、first_name和dob列。其结构大致如下:

mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

索引存储的值按索引列中的顺序排列。可以利用B-Tree索引进行全关键字、关键字范围和关键字前缀查询,当然,如果想使用索引,你必须保证按索引的最左边前缀(leftmost prefix of the index)来进行查询。
(1)匹配全值(Match the full value):对索引中的所有列都指定具体的值。例如,上图中索引可以帮助你查找出生于1960-01-01的Cuba Allen。
(2)匹配最左前缀(Match a leftmost prefix):你可以利用索引查找last name为Allen的人,仅仅使用索引中的第1列。
(3)匹配列前缀(Match a column prefix):例如,你可以利用索引查找last name以J开始的人,这仅仅使用索引中的第1列。
(4)匹配值的范围查询(Match a range of values):可以利用索引查找last name在Allen和Barrymore之间的人,仅仅使用索引中第1列。
(5)匹配部分精确而其它部分进行范围匹配(Match one part exactly and match a range on another part):可以利用索引查找last name为Allen,而first name以字母K开始的人。
(6)仅对索引进行查询(Index-only queries):如果查询的列都位于索引中,则不需要读取元组的值。(覆盖索引)

由于B-树中的节点都是顺序存储的,所以可以利用索引进行查找(找某些值),也可以对查询结果进行ORDER BY。

当然,使用B-tree索引有以下一些限制:
(1) 查询必须从索引的最左边的列开始,否则无法使用索引。关于这点已经提了很多遍了。例如你不能利用索引查找在某一天出生的人。
(2) 不能跳过某一索引列。例如,你不能利用索引查找last name为Smith且出生于某一天的人。
(3) 存储引擎不能使用索引中范围条件右边的列。例如,如果你的查询语句为WHERE last_name="Smith" AND first_name LIKE 'J%' AND dob='1976-12-23',则该查询只会使用索引中的前两列,因为LIKE是范围查询。

3.2.2、Hash索引

哈希索引基于哈希表实现,只有精确索引所有列的查询才有效。对于每一行数据,存储引擎都会对所有的索引列计算一个哈希码,哈希码是一个较小的值,并且不同键值的行计算出来的哈希码也不一样。哈希索引将所有的哈希存储在索引中,同时在哈希表中保存指向每个数据的指针。

MySQL中,只有Memory存储引擎显示支持hash索引,是Memory表的默认索引类型,尽管Memory表也可以使用B-Tree索引。Memory存储引擎支持非唯一hash索引,这在数据库领域是罕见的,如果多个值有相同的hash code,索引把它们的行指针用链表保存到同一个hash表项中。
假设创建如下一个表:

CREATE TABLE testhash (
fname VARCHAR(50) NOT NULL,
lname VARCHAR(50) NOT NULL,
KEY USING HASH(fname)
) ENGINE=MEMORY;

包含的数据如下:

mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

假设索引使用hash函数f( ),如下:

f('Arjen') = 2323
f('Baron') = 7437
f('Peter') = 8784
f('Vadim') = 2458

mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

此时,索引的结构大概如下:

哈希索引中存储的是:哈希值+数据行指针 

Slots是有序的,但是记录不是有序的。当你执行
mysql> SELECT lname FROM testhash WHERE fname='Peter';
MySQL会计算’Peter’的hash值,然后通过它来查询索引的行指针。因为f('Peter') = 8784,MySQL会在索引中查找8784,得到指向记录3的指针。
因为索引自己仅仅存储很短的值,所以,索引非常紧凑。Hash值不取决于列的数据类型,一个TINYINT列的索引与一个长字符串列的索引一样大。
 
Hash索引有以下一些限制:
(1)由于索引仅包含hash code和记录指针,所以,MySQL不能通过使用索引避免读取记录。但是访问内存中的记录是非常迅速的,不会对性造成太大的影响。
(2)哈希索引数据并不是按照索引值顺序存储的,所以不能使用hash索引排序。
(3)Hash索引不支持键的部分匹配,因为是通过整个索引值来计算hash值的。例如,在数据列(A,B)上建立哈希索引,如果查询只有数据列A,则无法使用该索引。
(4)Hash索引只支持等值比较
,例如使用=,IN( )和<=>。对于WHERE price>100并不能加速查询。
(5)访问Hash索引的速度非常快,除非有很多哈希冲突(不同的索引列值却有相同的哈希值)。当出现哈希冲突的时候,存储引擎必须遍历链表中所有的行指针,逐行进行比较,直到找到所有符合条件的行。
(6)如果哈希冲突很多的话,一些索引维护操作的代价也会很高。当从表中删除一行时,存储引擎要遍历对应哈希值的链表中的每一行,找到并删除对应行的引用,冲突越多,代价越大。

 

InnoDB引擎有一个特殊的功能叫做“自适应哈希索引”。当InnoDB注意到某些索引值被使用得非常频繁时,它会在内存中基于B-Tree索引上再创建一个哈希索引,这样就像B-Tree索引也具有哈希索引的一些优点,比如快速的哈希查找。

创建哈希索引:如果存储引擎不支持哈希索引,则可以模拟像InnoDB一样创建哈希索引,这可以享受一些哈希索引的便利,例如只需要很小的索引就可以为超长的键创建索引。

思路很简单:在B-Tree基础上创建一个伪哈希索引。这和真正的哈希索引不是一回事,因为还是使用B-Tree进行查找,但是它使用哈希值而不是键本身进行索引查找。你需要做的就是在查询的where子句中手动指定使用哈希函数。这样实现的缺陷是需要维护哈希值。可以手动维护,也可以使用触发器实现。

如果采用这种方式,记住不要使用SHA1和MD5作为哈希函数。因为这两个函数计算出来的哈希值是非常长的字符串,会浪费大量空间,比较时也会更慢。SHA1和MD5是强加密函数,设计目标是最大限度消除冲突,但这里并不需要这样高的要求。简单哈希函数的冲突在一个可以接受的范围,同时又能够提供更好的性能。

如果数据表非常大,CRC32会出现大量的哈希冲突,CRC32返回的是32位的整数,当索引有93000条记录时出现冲突的概率是1%。

处理哈希冲突:当使用哈希索引进行查询时,必须在where子句中包含常量值。

3.2.3、空间(R-Tree)索引

MyISAM支持空间索引,主要用于地理空间数据类型,例如GEOMETRY。和B-TREE索引不同,这类索引无须前缀查询。空间索引会从所有到维度来索引数据。查询时,可以有效地使用任意维度来组合查询。必须使用MySQL的GIS相关函数如MBRCONTAINS()等来维护数据。MySQL的GIS支持并不完善,所以大部分人都不会使用这个特性。开源关系数据库系统中对GIS的解决方案做得比较好的是PostgreSQL的PostGIS。

3.2.4、全文(Full-text)索引
全文索引是MyISAM的一个特殊索引类型,innodb的5.6以上版本也支持,它查找的是文本中的关键词主要用于全文检索。

全文索引是一种特殊类型的索引,它查找都是文本中的关键词,而不是直接比较索引中的值。全文搜索和其他几类索引匹配方式完全不一样。它有许多需要注意的细节,如停用词、词干和复数、布尔搜索等。全文索引更类似于搜索引擎做的事情,而不是简单的WHERE条件匹配。

在相同的列上同时创建全文索引和基于值对B-Tree索引不会有冲突,全文索引适用于MATCH AGAINST操作,而不是普通的WHERE条件操作。

3.3、从物理存储角度索引分类

3.3.1、聚簇索引(Clustered Indexes)

聚簇索引保证关键字的值相近的元组存储的物理位置也相同(所以字符串类型不宜建立聚簇索引,特别是随机字符串,会使得系统进行大量的移动操作),且一个表只能有一个聚簇索引。因为由存储引擎实现索引,所以,并不是所有的引擎都支持聚簇索引。目前,只有solidDB和InnoDB支持。

3.3.2、非聚簇索引

3.3.3、聚簇索引的结构大致如下:

叶子页包含了行的全部数据,但是节点页只包含了索引列。

二级索引叶子节点保存的不是指行的物理位置的指针,而是行的主键值。这意味着通过二级索引查找行,存储引擎需要找到二级索引的叶子节点获取对应的主键值,然后根据这个值去聚簇索引中查找到对应的行。这里做了重复的工作:两次B-TREE查找而不是一次。
mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

注:叶子页面包含完整的元组,而内节点页面仅包含索引的列(索引的列为整型)。一些DBMS允许用户指定聚簇索引,但是MySQL的存储引擎到目前为止都不支持。InnoDB对主键建立聚簇索引。如果你不指定主键,InnoDB会用一个具有唯一且非空值的索引来代替。如果不存在这样的索引,InnoDB会定义一个隐藏的主键,然后对其建立聚簇索引一般来说,DBMS都会以聚簇索引的形式来存储实际的数据,它是其它二级索引的基础。

3.3.4、InnoDB和MyISAM的数据布局的比较
为了更加理解聚簇索引和非聚簇索引,或者primary索引和second索引(MyISAM不支持聚簇索引),来比较一下InnoDB和MyISAM的数据布局,对于如下表:

CREATE TABLE layout_test (
col1 int NOT NULL,
col2 int NOT NULL,
PRIMARY KEY(col1),
KEY(col2)
);

假设主键的值位于1---10,000之间,且按随机顺序插入,然后用OPTIMIZE TABLE进行优化。col2随机赋予1---100之间的值,所以会存在许多重复的值。

(1)    MyISAM的数据布局
其布局十分简单,MyISAM按照插入的顺序在磁盘上存储数据,如下:
mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

注:左边为行号(row number),从0开始。因为元组的大小固定,所以MyISAM可以很容易的从表的开始位置找到某一字节的位置。
MyISAM建立的primary key的索引结构大致如下:
mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

注:MyISAM不支持聚簇索引,索引中每一个叶子节点仅仅包含行号(row number),且叶子节点按照col1的顺序存储
来看看col2的索引结构:

mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

实际上,在MyISAM中,primary key和其它索引没有什么区别。Primary key仅仅只是一个叫做PRIMARY的唯一,非空的索引而已,叶子节点按照col2的顺序存储

(2)    InnoDB的数据布局
InnoDB按聚簇索引的形式存储数据,所以它的数据布局有着很大的不同。它存储表的结构大致如下:

mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

注:聚簇索引中的每个叶子节点包含primary key的值,事务ID和回滚指针(rollback pointer)——用于事务和MVCC,和余下的列(如col2)。

相对于MyISAM,InnoDB的二级索引与聚簇索引有很大的不同。InnoDB的二级索引的叶子包含primary key的值,而不是行指针(row pointers),这样的策略减小了移动数据或者数据页面分裂时维护二级索引的开销,因为InnoDB不需要更新索引的行指针。其结构大致如下:

mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

聚簇索引和非聚簇索引表的对比:

mysql索引之一:索引基础(B-Tree索引、哈希索引、聚簇索引、全文(Full-text)索引区别)(唯一索引、最左前缀索引、前缀索引、多列索引)

3.3.4、按primary key的顺序插入行(InnoDB)

如果你用InnoDB,而且不需要特殊的聚簇索引,一个好的做法就是使用代理主键(surrogate key)——独立于你的应用中的数据。最简单的做法就是使用一个AUTO_INCREMENT的列,这会保证记录按照顺序插入,而且能提高使用primary key进行连接的查询的性能。应该尽量避免随机的聚簇主键,例如,字符串主键就是一个不好的选择,它使得插入操作变得随机。

四、覆盖索引(Covering Indexes)

mysql索引之六:mysql高效索引之覆盖索引

  覆盖索引是一种非常强大的工具,能大大提高查询性能。设计优秀的索引应该考虑到整个查询,而不单单的where条件部分。索引确实是一种查找数据的高效方式,但是MYSQL也可以使用索引来直接获取列的数据,这样就不再需要读取数据行。索引的叶子节点中已经包含要查询的数据,那么就没有必要再回表查询了,如果索引包含满足查询的所有数据,就称为覆盖索引。

  解释一: 就是select的数据列只用从索引中就能够取得,不必从数据表中读取,换句话说查询列要被所使用的索引覆盖。
  解释二: 索引是高效找到行的一个方法,当能通过检索索引就可以读取想要的数据,那就不需要再到数据表中读取行了。如果一个索引包含了(或覆盖了)满足查询语句中字段与条件的数据就叫做覆盖索引。
  解释三: 是非聚集组合索引的一种形式,它包括在查询里的Select、Join和Where子句用到的所有列(即建立索引的字段正好是覆盖查询语句[select子句]与查询条件[Where子句]中所涉及的字段,也即,索引包含了查询正在查找的所有数据)。

只需要读取索引而不用读取数据有以下一些优点:
(1)索引项通常比记录要小,所以MySQL访问更少的数据;
(2)索引都按值的大小顺序存储,相对于随机访问记录,需要更少的I/O;
(3)大多数据引擎能更好的缓存索引。比如MyISAM只缓存索引。
(4)覆盖索引对于InnoDB表尤其有用,因为InnoDB使用聚集索引组织数据,如果二级索引中包含查询所需的数据,就不再需要在聚集索引中查找了。
覆盖索引不能是任何索引,只有B-TREE索引存储相应的值。而且不同的存储引擎实现覆盖索引的方式都不同,并不是所有存储引擎都支持覆盖索引(Memory和Falcon就不支持)。

对于索引覆盖查询(index-covered query),使用EXPLAIN时,可以在Extra一列中看到“Using index”。例如,在sakila的inventory表中,有一个组合索引(store_id,film_id),对于只需要访问这两列的查询,MySQL就可以使用索引,如下:

mysql> EXPLAIN SELECT store_id, film_id FROM sakila.inventory\G

*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: inventory
type: index
possible_keys: NULL
key: idx_store_id_film_id
key_len: 3
ref: NULL
rows: 5007
Extra: Using index
1 row in set (0.17 sec)

(同时查询actor_id[主键]与last_name[索引字段])在大多数引擎中,只有当查询语句所访问的列是索引的一部分时,索引才会覆盖。但是,InnoDB不限于此,InnoDB的二级索引在叶子节点中存储了primary key的值。因此,sakila.actor表使用InnoDB,而且对于是last_name上有索引,所以,索引能覆盖那些访问actor_id的查询,如:

mysql> EXPLAIN SELECT actor_id, last_name
-> FROM sakila.actor WHERE last_name = 'HOPPER'\G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: actor
type: ref
possible_keys: idx_actor_last_name
key: idx_actor_last_name
key_len: 137
ref: const
rows: 2
Extra: Using where; Using index

五、利用索引进行排序

MySQL中,有两种方式生成有序结果集:

  • 一是使用filesort
  • 二是按索引顺序扫描

如果explain出来的type列的值为“index”,则说明MYSQL使用了索引扫描来做排序。利用索引进行排序操作是非常快的,因为只需要从一条索引记录移动到紧接着的下一条记录。但如果索引不能覆盖查询所需的全部列,那就不得不每扫描一条索引记录就回表查询一次对应的行,这基本上都是随机IO,因此按索引顺序读取的速度通常要比顺序地全表扫描慢,尤其是在IO密集型的工作负载时。

而且可以利用同一索引同时进行查找和排序操作。当索引的顺序与ORDER BY中的列顺序相同且所有的列是同一方向(全部升序或者全部降序)时,可以使用索引来排序。如果查询是连接多个表,仅当ORDER BY中的所有列都是第一个表的列时才会使用索引。其它情况都会使用filesort文件排序。

create table actor(
actor_id int unsigned NOT NULL AUTO_INCREMENT,
name varchar(16) NOT NULL DEFAULT '',
password varchar(16) NOT NULL DEFAULT '',
PRIMARY KEY(actor_id),
KEY (name)
) ENGINE=InnoDB;
insert into actor(name,password) values('cat01','');
insert into actor(name,password) values('cat02','');
insert into actor(name,password) values('ddddd','');
insert into actor(name,password) values('aaaaa','');

explain结果:

mysql> explain select actor_id from actor order by actor_id \G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: actor
type: index
possible_keys: NULL
key: PRIMARY
key_len: 4
ref: NULL
rows: 4
Extra: Using index
1 row in set (0.00 sec) mysql> explain select actor_id from actor order by password \G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: actor
type: ALL
possible_keys: NULL
key: NULL
key_len: NULL
ref: NULL
rows: 4
Extra: Using filesort
1 row in set (0.00 sec) mysql> explain select actor_id from actor order by name \G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: actor
type: index
possible_keys: NULL
key: name
key_len: 18
ref: NULL
rows: 4
Extra: Using index
1 row in set (0.00 sec)

对于filesort,MySQL有两种排序算法。 当MySQL不能使用索引进行排序时,就会利用自己的排序算法(快速排序算法)在内存(sort buffer)中对数据进行排序,如果内存装载不下,它会将磁盘上的数据进行分块,再对各个数据块进行排序,然后将各个块合并成有序的结果集(实际上就是外排序,使用临时表)

(1)两次扫描算法(Two passes)
实现方式是先将需要排序的字段和可以直接定位到相关行数据的指针信息取出,然后在设定的内存(通过参数sort_buffer_size设定)中进行排序,完成排序之后再次通过行指针信息取出所需的Columns。
注:该算法是4.1之前采用的算法,它需要两次访问数据,尤其是第二次读取操作会导致大量的随机I/O操作。另一方面,内存开销较小。

(2)一次扫描算法(single pass)
该算法一次性将所需的Columns全部取出,在内存中排序后直接将结果输出。
注:从 MySQL 4.1 版本开始使用该算法。它减少了I/O的次数,效率较高,但是内存开销也较大。如果我们将并不需要的Columns也取出来,就会极大地浪费排序过程所需要的内存。在 MySQL 4.1 之后的版本中,可以通过设置 max_length_for_sort_data 参数来控制 MySQL 选择第一种排序算法还是第二种。当取出的所有大字段总大小大于 max_length_for_sort_data 的设置时,MySQL 就会选择使用第一种排序算法,反之,则会选择第二种。为了尽可能地提高排序性能,我们自然更希望使用第二种排序算法,所以在 Query 中仅仅取出需要的 Columns 是非常有必要的。

当对连接操作进行排序时,如果ORDER BY仅仅引用第一个表的列,MySQL对该表进行filesort操作,然后进行连接处理,此时,EXPLAIN输出“Using filesort”;否则,MySQL必须将查询的结果集生成一个临时表,在连接完成之后进行filesort操作,此时,EXPLAIN输出“Using temporary;Using filesort”。

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" alt="" />

六、索引与加锁

索引对于InnoDB非常重要,因为它可以让查询锁更少的元组。这点十分重要,因为MySQL 5.0中,InnoDB直到事务提交时才会解锁。有两个方面的原因:首先,即使InnoDB行级锁的开销非常高效,内存开销也较小,但不管怎么样,还是存在开销。其次,对不需要的元组的加锁,会增加锁的开销,降低并发性。
InnoDB仅对需要访问的元组加锁,而索引能够减少InnoDB访问的元组数。但是,只有在存储引擎层过滤掉那些不需要的数据才能达到这种目的。一旦索引不允许InnoDB那样做(即达不到过滤的目的),MySQL服务器只能对InnoDB返回的数据进行WHERE操作,此时,已经无法避免对那些元组加锁了:InnoDB已经锁住那些元组,服务器无法解锁了。
来看个例子:

create table actor(
actor_id int unsigned NOT NULL AUTO_INCREMENT,
name varchar(16) NOT NULL DEFAULT '',
password varchar(16) NOT NULL DEFAULT '',
PRIMARY KEY(actor_id),
KEY (name)
) ENGINE=InnoDB;
insert into actor(name,password) values('cat01','');
insert into actor(name,password) values('cat02','');
insert into actor(name,password) values('ddddd','');
insert into actor(name,password) values('aaaaa','');
SET AUTOCOMMIT=0;
BEGIN;
SELECT actor_id FROM actor WHERE actor_id < 4
AND actor_id <> 1 FOR UPDATE;
mysql> EXPLAIN SELECT actor_id FROM test.actor
-> WHERE actor_id < 4 AND actor_id <> 1 FOR UPDATE \G
*************************** 1. row ***************************
id: 1
select_type: SIMPLE
table: actor
type: index
possible_keys: PRIMARY
key: PRIMARY
key_len: 4
ref: NULL
rows: 4
Extra: Using where; Using index
1 row in set (0.00 sec)
mysql>

该查询仅仅返回2---3的数据,实际已经对1---3的数据加上排它锁了。InnoDB锁住元组1是因为MySQL的查询计划仅使用索引进行范围查询(而没有进行过滤操作,WHERE中第二个条件已经无法使用索引了)

表明存储引擎从索引的起始处开始,获取所有的行,直到actor_id<4为假,服务器无法告诉InnoDB去掉元组1。
为了证明row 1已经被锁住,我们另外建一个连接,执行如下操作:

SET AUTOCOMMIT=0;
BEGIN;
SELECT actor_id FROM actor WHERE actor_id = 1 FOR UPDATE;

该查询会被挂起,直到第一个连接的事务提交释放锁时,才会执行(这种行为对于基于语句的复制(statement-based replication)是必要的)。
如上所示,当使用索引时,InnoDB会锁住它不需要的元组。更糟糕的是,如果查询不能使用索引,MySQL会进行全表扫描,并锁住每一个元组,不管是否真正需要。

七、索引的优点:

最常见的B-Tree索引,按照顺序存储数据,所以MYSQL可以用来做order by和group by操作。因为数据是有序的,所以B-Tree也就会将相关的列值存储在一起。最后,因为索引中存储了实际的列值,所以某些查询只使用索引就能够完成全部查询。总结下来索引有如下三个优点:

1,索引大大减小了服务器需要扫描的数据量

2,索引可以帮助服务器避免排序和临时表

3,索引可以将随机IO变成顺序IO

索引三星系统:

一星:索引将相关的记录放到一起

二星:索引中的数据顺序和查找中的排列顺序一致

三星:索引中的列包含了查询中需要的全部列

索引是最好的解决方案吗?

索引并不总是最好的工具。总的来说只有索引帮助存储引擎快速查找到记录的好处大于其带来的额外工作时,索引才是有效的。

对于非常小的表,大部分情况下简单的全表扫描更高效;

对于中到大型的表,索引就非常有效。

但对于特大型的表,建立和使用索引的代价将随之增长。这种情况下需要一种技术可以直接区分出查询需要的一组数据,而不是一条记录一条记录地匹配。例如使用分区技术。

如果表的数量特别多,可以建立一个元数据信息表,用来查询需要用到的某些特性。例如执行那些需要聚合多个应用分布在多个表的数据的查询,则需要记录“哪个用户的信息存储在哪个表中”的元数据,这样在查询时就可以直接忽略那些不包含指定用户信息的表。

八、高性能的索引策略

5.1独立的列

独立的列是指索引列不能是表达式的一部分,也不是是函数的参数。例如以下两个查询无法使用索引:

1)表达式:  select actor_id from sakila.actor where actor_id+1=5;

2)函数参数:select ... where TO_DAYS(CURRENT_DATE) - TO_DAYS(date_col)<=10;

5.2前缀索引和索引选择性

  有时需要索引很长的字符列,它会使索引变大而且变慢。一个策略就是模拟哈希索引。但是有时这也不够好,那?

通常可以索引开始的几个字符,而不是全部值,以节约空间并得到好的性能。这使索引需要的空间变小,但这样也会降低索引的选择性。索引的选择性是指,不重复的索引值(基数)和数据表中的记录总数(#T)的比值,范围从1/#T之间。索引的选择性越高则查询效率越高,因为选择性高的索引可以让MYSQL在查找时过滤掉更多的行。

唯一索引的选择性是1,这是最好的索引选择性,性能也是最好的。

一般情况下某个前缀的选择性也是足够高的,足以满足查询性能。对于BLOB、TEXT或者很长的VARCHAR类型的列,必须使用前缀索引,因为mysql不允许索引它们的全文化。

可以在同一个查询中针对许多不同的前缀长度进行计算,选择选择性好的。

(用LEFT函数,left(city,4))

添加前缀索引

mysql>alter table test.test add key (city(7));

前缀索引能很好地减少索引的大小及提高速度,但是mysql不能在order by 和group by查询中使用前缀索引,也不能把它们用来覆盖索引。

有时后缀索引也挺有用,例如查找某个域名的所有电子邮件地址。mysql不支持反向索引,但是可以把反向字符串保存起来,并且索引它的前缀。可以用触发器维护这种索引。

决窍:在于要选择足够长的前缀以保证较高的选择性,同时又不能太长(以便节约空间)。前缀应该足够长,以使得前缀索引的选择性接近于索引整个列。换句话说,前缀的“基数”应该接近于完整列的“基数”。为了决定前缀的合适长度,需要找到最常见的值的列表,然后和最常见的前缀列表进行比较。例如以下查询:

select count(*) as cnt,city from sakila.city_demo group by city order by cnt desc limit 10;

select count(*) as cnt,left(city,7) as perf  from sakila.city_demo group by city order by cnt desc limit 10;

直到这个前缀的选择性接近完整列的选择性。

计算合适的前缀长度的另一个方法就是计算完整列的选择性,并使前缀的选择性接近于完整列的选择性,如下:

select  count(distinct city)/count(*) from sakila.city_demo;

select  count(distinct left(city,7))/count(*) from sakila.city_demo;

前缀索引是一种能使索引更小、更快的有效办法,但另一方面也有其缺点:MYSQL无法使用前缀索引做order by和group by,也无法使用前缀索引做覆盖扫描。

5.3多列索引

一个多列索引与多个列索引MYSQL在解析执行上是不一样的,如果在explain中看到有索引合并,应该好好检查一下查询的表和结构是不是已经最优。

5.4选择合适的索引列顺序

对于如何选择索引的顺序有一个经验法则:将选择性最高的列放在索引最前列。

当不需要考虑排序和分组时,将选择性最高的列放在前面通常是最好的。然后,性能不只是依赖于所有索引列的选择性(整体基数),也和查询条件的具体值有关,也就是和值的分布有关。这和前面介绍的选择前缀的长度需要考虑的地方一样。可能需要根据那些运行频率最高的查询来调整索引列的顺序,让这种情况下索引的选择性最高。

使用经验法则要注意不要假设平均情况下的性能也能代表特殊情况下的性能,特殊情况可能会摧毁整个应用的性能(当使用前缀索引时,在某些条件值的基数比正常值高的时候)。

5.5单列索引、多列索引以及最左前缀 原则及使用上的特点

结合实例说明如下:现在我们想查出满足以下条件的用户id:
mysql>SELECT `uid` FROM people WHERE lname`='Liu'  AND `fname`='Zhiqun' AND `age`=26
因为我们不想扫描整表,故考虑用索引。

单列索引:
ALTER TABLE people ADD INDEX lname (lname);
将lname列建索引,这样就把范围限制在lname='Liu'的结果集1上,之后扫描结果集1,产生满足fname='Zhiqun'的结果集2,再扫描结果集2,找到 age=26的结果集3,即最终结果。

由 于建立了lname列的索引,与执行表的完全扫描相比,效率提高了很多,但我们要求扫描的记录数量仍旧远远超过了实际所需 要的。虽然我们可以删除lname列上的索引,再创建fname或者age 列的索引,但是,不论在哪个列上创建索引搜索效率仍旧相似。

2.多列索引:
ALTER TABLE people ADD INDEX lname_fname_age (lame,fname,age);
为了提高搜索效率,我们需要考虑运用多列索引,由于索引文件以B-Tree格式保存,所以我们不用扫描任何记录,即可得到最终结果。

注:在mysql中执行查询时,只能使用一个索引,如果我们在lname,fname,age上分别建索引,执行查询时,只能使用一个索引,mysql会选择一个最严格(获得结果集记录数最少)的索引。

3.最左前缀:顾名思义,就是最左优先,上例中我们创建了lname_fname_age多列索引,相当于创建了(lname)单列索引,(lname,fname)组合索引以及(lname,fname,age)组合索引。

注:在创建多列索引时,要根据业务需求,where子句中使用最频繁的一列放在最左边。

九、分析索引效率

现在我们已经知道了一些如何选择索引列的知识,但还无法判断哪一个最有效。MySQL提供了一个内建的SQL命令帮助我们完成这个任务,这就是 EXPLAIN命令。EXPLAIN命令的一般语法是:EXPLAIN 。你可以在MySQL文档找到有关该命令的更多说明。下面是一个例子:

EXPLAIN SELECT peopleid FROM people WHERE firstname='Mike' AND lastname='Sullivan' AND age='17';

这个命令将返回下面这种分析结果:

下面我们就来看看这个EXPLAIN分析结果的含义。 
见explain章节

十、索引的缺点

到目前为止,我们讨论的都是索引的优点。事实上,索引也是有缺点的。

首先,索引要占用磁盘空间。通常情况下,这个问题不是很突出。但是,如果你创建每一种可能列组合的索引,索引文件体积的增长速度将远远超过数据文件。如果你有一个很大的表,索引文件的大小可能达到操作系统允许的最大文件限制。

第二,对于需要写入数据的操作,比如DELETE、UPDATE以及INSERT操作,索引会降低它们的速度。这是因为MySQL不仅要把改动数据写入数据文件,而且它还要把这些改动写入索引文件。

【结束语】在大型数据库中,索引是提高速度的一个关键因素。不管表的结构是多么简单,一次500000行的表扫描操作无论如何不会快。如果你的网站上也有 这种大规模的表,那么你确实应该花些时间去分析可以采用哪些索引,并考虑是否可以改写查询以优化应用。要了解更多信息,请参见MySQL manual。另外注意,本文假定你所使用的MySQL是3.23版,部分查询不能在3.22版MySQL上执行。