SQL优化(三)—— 索引、explain分析

SQL优化(三)—— 索引、explain分析

 

一、什么是索引

  • 索引是一种排好序的快速查找的数据结构,它帮助数据库高效的查询数据
  • 在数据之外,数据库系统还维护着满足特定查找算法的数据结构,这些数据结构以某种方式指向数据,这样就可以在这些数据结构上实现高效的查找算法.这种数据结构,就是索引

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" alt="" />

  • 一般来说索引本身也很大,不可能全部存储在内存中,因此往往以索引文件的形式存放在磁盘中

  • 我们平常所说的索引,如果没有特别说明都是指BTree索引(平衡多路搜索树). 其中聚集索引,次要索引,覆盖索引复合索引,前缀索引,唯一索引默认都是使用的BTree索引,统称索引.除了BTree索引之后,还有哈希索引

二、索引优缺点

  • 优点:
    • 提高数据查询的效率,降低数据库的IO成本
    • 通过索引对数据进行排序,降低数据排序的成本,降低CPU的消耗
  • 缺点:
    • 索引本身也是一张表,该表保存了主键与索引字段,并指向实体表的记录,所以索引列也要占用空间
    • 虽然索引大大提高了查询的速度,同时反向影响增删改操作的效率,因为表中数据变化之后,会导致索引内容不准,所以也需要更新索引表信息,增加了数据库的工作量
    • 随着业务的不断变化,之前建立的索引可能不能满足查询需求,需要消耗我们的时间去更新索引

三、索引的分类

  • 单值索引: 一个索引只包含单列,一个表可以有多个单列索引
  • 唯一索引:索引列的值必须唯一,但是允许有空值
  • 复合索引: 一个索引可以同时包含多列

四、索引结构

1、BTree索引

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" alt="BTree图示" />

  • 浅蓝色: 磁盘块
  • 深蓝色: 数据项
  • 黄色: 数据的指针
  • 真实的数据仅在叶子节点中: 3, 5, 9, 10, 13, 15, 28, 29, 36, 60, 75, 79, 90,99

  • 查找过程: (假如要找29)
    1. 从树根开始,即先把磁盘块1中内容读到内存中, 发生一次IO
    2. 确定29在(17,35)之间,锁定磁盘块1中的P2指针
    3. 根据P2指针,找到磁盘块3, 读取到内存中, 发生二次IO
    4. 29在(26,30)之间,锁定磁盘块3的P2指针
    5. 通过磁盘3的P2指针,将磁盘块8的内容读取到内存中, 发生第三次IO.
    6. 最终找到数据29,查询结束,总共发生三次IO
  • 真实的情况:
    • 3层的BTree可以表示上百万的数据,如果上百万条数据,查找只需要三次IO,性能提高将是巨大的,如果没有索引每次查找都要发生一次IO,那么总共就需要百万次的IO,显然成本是非常高的

2、Hash索引

3、full-Text索引

4、R-Tree索引

五、索引的使用

1、创建索引的情况

  1. 主键约束默认建立唯一索引
  2. 频繁作为查询条件的字段应该创建索引
  3. 多表查询中与其它表进行关联的字段,外键关系建立索引
  4. 单列索引/复合索引的选择? 高并发下倾向于创建复合索引
  5. 查询中经常用来排序的字段
  6. 查询中经常用来统计或者分组字段

2、不创建索引的情况

  1. 频繁更新的字段: 每次更新都会影响索引树
  2. where条件查询中用不到的字段
  3. 表记录太少
  4. 经常增删改的表: 更新了表,索引也得更新才行
  5. 注意: 如果一张表中,重复的记录非常多,为它建立索引就没有太大意义

3、索引创建语法

SQL优化(三)—— 索引、explain分析
1 - 创建索引
2 create index 索引名称 on 表名(列名...);
3
4 - 删除索引
5 drop index 索引名称 on 表名;
6
7 - 查看索引
8 show index from 表名;
SQL优化(三)—— 索引、explain分析

六、性能分析

1、MySql Query Optimizer

mysql中有专门负责优化select语句的优化器模块,主要功能:通过计算分析系统中收集到的统计信息,为客户端请求的Query提供mysql认为最优的执行计划

2、Mysql常见的瓶颈

  1. CPU饱和:CPU饱和的时候,一般发生在数据装入内存或从磁盘上读取数据的时候
  2. IO瓶颈: 磁盘IO瓶颈发生在装入数据远大于内存容量的时候
  3. 服务器硬件的性能瓶颈

七、执行计划

  使用explain关键字可以模拟优化器执行SQL查询语句,从而知道MYSQL是如何处理SQL语句的.我们可以用执行计划来分析查询语句或者表结构的性能瓶颈

1、作用

  1. 查看表的读取顺序
  2. 查看数据库读取操作的操作类型
  3. 查看哪些索引有可能被用到
  4. 查看哪些索引真正被用到
  5. 查看表之间的引用
  6. 查看表中有多少行记录被优化器查询

2、语法

SQL优化(三)—— 索引、explain分析
1 explain + sql语句
2
3 explain select * from tsmall;
4 +----+-------------+---------+------+---------------+------+---------+------+------+-------+
5 | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
6 +----+-------------+---------+------+---------------+------+---------+------+------+-------+
7 | 1 | SIMPLE | product | ALL | NULL | NULL | NULL | NULL | 16 | |
8 +----+-------------+---------+------+---------------+------+---------+------+------+-------+
SQL优化(三)—— 索引、explain分析

2.1 环境准备

SQL优化(三)—— 索引、explain分析
 1 create table t1(
2 id int primary key,
3 name varchar(20),
4 col1 varchar(20),
5 col2 varchar(20),
6 col3 varchar(20)
7 );
8 create table t2(
9 id int primary key,
10 name varchar(20),
11 col1 varchar(20),
12 col2 varchar(20),
13 col3 varchar(20)
14 );
15 create table t3(
16 id int primary key,
17 name varchar(20),
18 col1 varchar(20),
19 col2 varchar(20),
20 col3 varchar(20)
21 );
22 insert into t1 values(1,'zs1','col1','col2','col3');
23 insert into t2 values(1,'zs2','col2','col2','col3');
24 insert into t3 values(1,'zs3','col3','col2','col3');
25
26 create index ind_t1_c1 on t1(col1);
27 create index ind_t2_c1 on t2(col1);
28 create index ind_t3_c1 on t3(col1);
29
30 create index ind_t1_c12 on t1(col1,col2);
31 create index ind_t2_c12 on t2(col1,col2);
32 create index ind_t3_c12 on t3(col1,col2);
SQL优化(三)—— 索引、explain分析

2.2 id

  • select 查询的序列号,包含一组数字,表示查询中执行Select子句或操作表的顺序
  • 三种情况:
  1. id值相同,执行顺序由上而下

    1 sql
    2 explain select t2.* from t1,t2,t3 where t1.id = t2.id and t1.id= t3.id and t1.name = 'zs';

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" alt="" />

  2. id值不同,id值越大优先级越高,越先被执行

    1 sql
    2 explain select t2.* from t2 where id = (select id from t1 where id = (select t3.id from t3 where t3.name='zs3'));

    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" alt="" />

  3. id值有相同的也有不同的,如果id相同,从上往下执行,id值越大,优先级越高,越先执行

    1 sql
    2 explain select t2.* from (select t3.id from t3 where t3.name='zs3') s1,t2 where s1.id = t2.id;

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" 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2.3 select_type

查询类型,主要用于区别

  • SIMPLE : 简单的select查询,查询中不包含子查询或者UNION

  • PRIMARY: 查询中若包含复杂的子查询,最外层的查询则标记为PRIMARY

  • SUBQUERY : 在SELECT或者WHERE列表中包含子查询

  • DERIVED : 在from列表中包含子查询被标记为DRIVED衍生,MYSQL会递归执行这些子查询,把结果放到临时表中

  • UNION: 若第二个SELECT出现在union之后,则被标记为UNION, 若union包含在from子句的子查询中,外层select被标记为:derived

  • UNION RESULT: 从union表获取结果的select

1 sql
2 explain select col1,col2 from t1 union select col1,col2 from t2;

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" alt="" />

2.4 table

  显示这一行的数据是和哪张表相关

2.5 type

访问类型: all, index,range,ref,eq_ref, const,system,null

最好到最差依次是: system > const > eq_ref>ref >range > index > all , 最好能优化到range级别或则ref级别

  • system: 表中只有一行记录(系统表), 这是const类型的特例, 基本上不会出现

  • const: 通过索引一次查询就找到了,const用于比较primary key或者unique索引,因为只匹配一行数据,所以很快,如将主键置于where列表中,mysql就会将该查询转换为一个常量

1 sql
2 explain select * from (select * from t1 where id=1) s1;

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" alt="" />

  • eq_ref: 唯一性索引扫描, 对于每个索引键,表中只有一条记录与之匹配, 常见于主键或者唯一索引扫描
1 sql
2 explain select * from t1,t2 where t1.id = t2.id;

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" alt="" />

  • ref : 非唯一性索引扫描,返回匹配某个单独值的所有行,本质上也是一种索引访问,它返回所有符合条件的行,然而它可能返回多个符合条件的行
1 sql
2 explain select * from t1 where col1='zs1';

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" alt="" />

  • range : 只检索给定范围的行, 使用一个索引来选择行.key列显示的是真正使用了哪个索引,一般就是在where条件中使用between,>,<,in 等范围的条件,这种在索引范围内的扫描比全表扫描要好,因为它只在某个范围中扫描,不需要扫描全部的索引
1 sql
2 explain select * from t1 where id between 1 and 10;

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" 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  • index : 扫描整个索引表, index 和all的区别为index类型只遍历索引树. 这通常比all快,因为索引文件通常比数据文件小,虽然index和all都是读全表,但是index是从索引中读取,而all是从硬盘中读取数据
1 sql
2 explain select id from t1;

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" alt="" />

  • all : full table scan全表扫描 ,将遍历全表以找到匹配的行
1 sql
2 explain select * from t1;

aaarticlea/jpg;base64,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" alt="" />

  • 注意: 开发中,我们得保证查询至少达到range级别,最好能达到ref以上

2.6 possible_keys

  SQL查询中可能用到的索引,但查询的过程中不一定真正使用

2.7 key

查询过程中真正使用的索引,如果为null,则表示没有使用索引

查询中使用了覆盖索引,则该索引仅出现在key列表中

1 explain select t2.* from t1,t2,t3 where t1.col1 = ' ' and t1.id = t2.id and t1.id= t3.id;

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jeVh/Pr2pVZjM4llCpizztkzqze6f33ctnNahpH3MC+jPMZvW4glWj67FG0B7Waw9BL6oj5E7c8/uH8PADzBesj3sILtzTrz+/net/wvNdpTPXr5+pq+A+k1XuPEM8v9z/VXiG3s3pz4/nk5B9eO8XP6Q8nLHeCCujiWpne61y1ThPZcf6o+cn3o5xdzA7z7et79fg+i2szCy/7EW+zR3niOf3vzxt/8XzsDJ38sQ5kTqnPz+eT0L24b1ff3xIIYQQQgghhBBCCCE2/JBCCCGEEEIIIYQQUoQfUgghhBBCCCGEEEKK8EMKIYQQQgghhBBCSBF+SCGEEEIIIYQQQggp8seHlKf/q8/8V6nfzdefH89vDPeHkHPh+30v3P81uH/v5vTnx/NJyD6894sfUsilfP358fzGcH8IORe+3/fC/V+D+/duTn9+PJ+E7MN7v/ghhVzK158fz28M94eQc+H7fS/c/zW4f+/m9OfH80nIPrz36+8PKcP0iPx/mhjeYLc/2Nmf/l5/sLP/0/3Bzv5v9wc7+9OnT/8+f7CzP/3YH+zsf7o/2Nmf/l5/sLP/3f5gZ3/69L/sD/6pkYt/BDCfyNPnR2K+/vx4fmO4P4ScC9/ve+H+r8H9ezenPz+eT0L24b1f/JBCLuXrz4/nN4b7Q8i58P2+F+7/Gty/d3P68+P5JGQf3vvFDynkUr7+/Hh+Y7g/hJwL3+974f6vwf17N6c/P55PQvbhvV9/fEghhBBCCCGEEEIIITb8kEIIIYQQQgghhBBShB9SCCGEEEIIIYQQQorwQwohhBBCCCGEEEJIEf5js+RSvv78eH5juD+EnAvf73vh/q/B/Xs3pz8/nk9C9uG9X/yQQi7l68+P5zeG+0PIufD9vhfu/xrcv3dz+vPj+SRkH977xQ8p5FK+/vx4fmO4P4ScC9/ve+H+r8H9ezenPz+eT0L24b1fl39IWe3fzY+cZtbL7hEvr0EfsWpPYPfanr53Jz/bXzC7P6Peoup7NZZn3SOeZmH51n2VTuYOds+x25/79394/WV/BKumQje7Ou5V7J7jav+VfPQMxItqTuDktX2Bpz+/1fnN5ke9EGkZs/WkhvUsLC1jtv7X3D3+r/DWcNmHFNnI1f6dvJWpaqKLh9fo473WLB/J8iexa12jr2D5T+Hu+T19jzpzszKoZX6kiS4eXmtmdNS07/WJGJlOzuKXvQTp+eu+wmr/X87tl70E6fnrvkLUv6pVWMl1s5pf9hKk56/7Cr/q381jTveweq7O86mcuq6v8NTnN+YlWH6VTt7KzPb5xdx38NR5zWDNf3ZNd+/DL8e/cy3euJ/4GylWpqqJLh5eo4/3WrN8ZKb27aysr5J9+v7dOT8c+6n71JmXlcnWWtVEFw+vNZ6Xadq36q+mM4dKZvfanrB3g5P2r6pV2D3/Kp15VDK717faf8e6LX/3PtzFm9d16jOZ4el7sDq/Tt7KnHRW3r6W059Ph7vW74372Q8pFu4m/aWLh9fo473WLB+ZqX07K+urZJ++f3fO7w1nqzNHK4Na5kea6OLhta7BX8uLtCh/B515VDK718f9W8PqX9Uq7J5/lc48Kpnd61vtv2vdmt37cBdvXtepz2SGp+/B6vw6eStz0ll5+1pOfz4d7lq/N+6n/o0US0fcTfpLFw+v0cd7rVk+Ij0Fq+YUOuvT+xP1iLwnMDs/vWZ9b9VlnvafRGduVgY1WTOCtVjn6eJ5efQtT2PV4O8MWV/RK3VRjcdMNvIydvWP+qJeqYtqPGaykZfxy/7deXRyMmcri3qlLqrxmMlGXsbu/oNOXjIyt6xHZ4y3sLK2aP/QQx/vLV/XWTWR9zWevvbV+XXyVkZr415jeZhBr1oX1VhgbXSNmtwj6KGvNX1v1WkPayw9w8ppTcZFLA8z6FXrohqPKIN6pc6rqXp4jzVVvNxnPqQMRjbKex7mrB6iIdrHew36We3bWVlfJfv0/evOb+Qw613Pak+jM8eR0WjfutZ4HvbEa11jXWceEnkVvPzQtYf3Vs7rFVHJdPoOdM7r0+0/iHpG41s5r1dEJdPpO9A5r8/OOQx2ZIeuPby3cl6viEqm03egc16fbn+hkx+ZyvysutPori/aP6un9lfykfY1nr4Hq/Pr5LOzkvmRJrr28D7yMip9x2+lDrHqvUwlv0LWvzq+N6ehaw/vI28GLzf0aAwrN+Pre6u+ipf91IcUwd2MRNe/2veY8bPat7Oyvkr26fvXnV+Us7yq9jQ6c8wy6Ee1nie6/kWGhmjPutZEXgUvb+nZnDpzqWR29RU6/QUva+moZX6VSmZXXyGr7YyPrOS9rKWjlvlVKpldfYVOf+RX84v6rM7xyfxq/5Bsfzu+RbXuZJ6+B6vz6+StDGrVnl7dbP/qeILVK+qvtcy37pFKfoWsf3Usr262f3U8za/G11rmo2bpM3j5T35IGVh93E36j65/te+x6p/Eylor2afvZXd+UW54Flad1p5GZ45ZRvtefabrX+137zO9ykxf1DK/SiWzq6/Q6S94WUtHLfOrVDK7+gpRbWdszUoPL2vpqGV+lUpmV1+h0x/51fyyPqvzfCq/2j8k29/Ml3sEPayx9C/x9D1YnV8nb2W0Nu4R9LCmqmtN+no9IiSDeexj9dS+hVev0TnBqu1g9dIajmvVS01V15r09XpU8LKWjlrFt8B6rNP6DF7+s//YbFVDXf9q36PjZ5m3srKuSvbp+9adX5Sr9nz63gw6c8wy2vfqM13/at/TKvWRXmWmL2qZX6WS2dVX6PQXvKylo5b5VSqZXX0Fr7YzrsVKn5m5oZb5VSqZXX2FTn/kV/NDLfNP4lf7h2T7l/kWncwXePoerM6vk++clZlMVpuNlSF5/at9T7N8TVRTya+Qzd9iJpPVZmNV+eX4mW8x6qq1Hl6eH1ISDXX9q30Py0ct809iZV3ZnkX6U+jOL8pZXlV7Gp05ZpnV/RFd/2rf0zI/0kT3PCTKR5r2x73XKyLqmekZOjfTf2iVcWd7Wtdy7/WKiHpmeobOzfSvahW6uUF3ztof916viKhnpmfo3K/7CzvmZ/VcnedTuWP/Vn1Ls/wv8PR1r86vk7cyqGV+pHm61sY9gl4FzOi81S+qtzSrRqjkV8j6V8f35lSpHfcIelW8nKWjpv1xH/mWltVX8bKXfUgZfTVWXUYnp8fVPSIf7/FXX8u9Bn1N5Os+p7C6Nm9/REd0zROYnZdek5eParSn/ScxO7dsTZ6PGtagbtVFWZ3RiI81Vgbr0Lf0AWYFy5vRtF/Fy4mO6JqMKIueVaPvEZ3D2q6m/SpeTnRE12REWfR0jeUNMF+lk9PjYo+upv0qXk50RNdkRFn0vJoK3dwgGhs9yz+FlbVF+4Me+hUN71G3yPzTeera5bkgVl3GSs4bW3szfkVDD2u0FoH1+lqoapGOHlKtsfQKUX/tzfgVDT2s0ZoH9hMsb0aLfNR1rVdTxctd/jdSVnn6/EjM158fz28M98eG+7IG9+8Z8DncC/d/De7fuzn9+b1xfdacT3xOb13TV55PBW/d/JBCLuXrz4/nN4b78yd37skYO8LKzGD1RKzMLL/q00GvR2NlZrB6IlbmTp42J71fGiszg9UTsTI7uWPMk+D+vZvTn99b1zfmjVg1b+fN6/rC86ngrZ0fUsilfP358fzGcH8IORe+3/fC/V+D+/duTn9+PJ+E7MN7v/ghhVzK158fz28M94eQc+H7fS/c/zW4f+/m9OfH80nIPrz3ix9SyKV8/fnx/MZwfwg5F77f98L9X4P7925Of348n4Tsw3u/Lv+Qstq/mx85zayX3SNeXoM+YtWewK61vWX/njy3JzC7P/jMkarv1ViedY94moXlW/eEnMTsucb3Aan6Xo3lWfeIp1lYvnV/Nb8Y9665P4E7n9sb9r07x6vW9/Q9XJ3f09dHyJvx3q/LPqSMvoLlV+nkrUxVE108vEYf77Vm+UiWP4kd63rT/p36XIWxvpU1drJWBrXMjzTRxcNrzYyOmva9PoS8nc7Znn1/ZjTRxcNrzYyOmva9PlewOvbI3zn/u5ld+6/26+n7LvPrznEmuzqOpd+NrGl1fk9dHyEn4L1fn/gbKVamqokuHl6jj/das3xkpvbtrKzPy1r6U/fx5OeLa+uus5OzMtlcqpro4uG1xvMyTftWPSEn0Dnbs+/PjCa6eHit8bxM075VfxWrY4/8nfO/m87aT9mvyjquWmt3nKc/i9X5PX19hLwZ7/367IcUC3eT/tLFw2v08V5rlo/M1L6dlfV5WUt/6j6e/Hx/sbZOj+z5Z36kiS4eXusa/LW8SIvyhJxC53xn70/mR5ro4uG1rsFfy4u0KH8lK+M/ZQ130ln7KftVWcdVa+2O8/RnsTq/p6+PkDfjvV+f+jdSLB1xN+kvXTy8Rh/vtWb5iPQUrJpT6KxP70+lR6XmDrrzwrV7PdDzajSSwRzeW3WZp/0ZOlkrg5rMCcFarPN08bw8+pansWrwl5AT6Zzv6H2Raw3WYp2ni+fl0bc8jVWDv3fRHR9zd6/hTjprl8z4Fawaz/d07Wm8OtQrYDbrEXke1b4aqy6jm7uK1fk9fX2EvBnv/frMh5TByEZ5z8Oc1UM0RPt4r0E/q307K+urZp+8h525WRmt4f24nh1HZ7zrWW2WTo+R0WjfutZ4HvbEa11jXWceEnmEnEDnjI+MRvvWtcbzsCde6xrrOvOQyLuK7hyqazydztpHRuey/axqWreudc7rk1HJdXsPvKyl71zDnazO7+nrI+TNeO/Xpz6kCO5mJLr+1b7HjJ/Vvp2V9VWyT9+/zvysDGqZXyGqr/afHdOi0yPLoB/Vep7o+hcZGqI961oTeYScQOeMZ5nV90t0/YsMDdGeda2JvKvozCFa79f4xf5pLfMjTeuVvl6fjEqu23vgZS195xruZHV+T18fIW/Ge78++SFlYPVxN+k/uv7VvseqfxIraz1hHztzHBkL9LHe0yKiehlPY9VpbZZOjyyjfa8+0/Wv9rv3mU7IKXTOeJZZfb9E17/a795n+pV05jAyHlb9yXTWbGVQk73UYL3UaU3r0bXcoz5DJdftPfCylr5zDXeyOr+nr4+QN+O9X5/9x2arGur6V/seHT/LvJWVdUXZt+xXZ55ZxvJnx4nqq71mx7To9Mgy2vfqM13/at/TKvWRTsgpdM54lll9v0TXv9r3tEp9pF/JL+bwhHXcRWftVga1ak+vzusl1zrn9cmo5Lq9B17W0neu4U5W5/f09RHyZrz3ix9SEg11/at9D8tHLfNPYmVd3p69af8686qsD+/H9ew4Ub3lVbVZOj2yzOr8Rde/2ve0zI80Qk6ic8azzOr7Jbr+1b6nZX6kXc0v5vCEddxFZ+3ZWcj8SNO6da01vPc0C90HvUjv9I/0aj+Lbu4qVuf39PUR8ma89+uyDymjr8aqy+jk9Li6R+TjPf7qa7nXoK+JfN3nFFbXZu2PaBqseQrdeVXWhp5Xo5EMUqmLPO3PMJvNxvR81LAGdasuyuqMRnyssTJYR8hJzJ7v7L3wfNSwBnWrLsrqjEZ8rLEyWHc1K+PjGgSr7mRm12ztVaahbnnoa2322rqP8GpFR7SH9QhmvFrteXUZncwVyHoQqy6jmyOE5Hjv1+V/I2UV/ofi3Xz9+V21/rfuM99vQs6F7/e9cP/X4P69m9OfH88nIfvw3i9+SCGX8vXnd8X6xxhVrPydPHFOhJDfwPf7Xrj/a3D/3s3pz4/nk5B9eO8XP6SQS/n68+P5jeH+EHIufL/vhfu/Bvfv3Zz+/Hg+CdmH937xQwq5lK8/P57fGO4PIefC9/teuP9rcP/ezenPj+eTkH147xc/pJBL+frz4/mN4f4Qci58v++F+78G9+/dnP78eD4J2Yf3fl3+IWW1fzc/cppZL7tHvLwGfcSqPYFda3vL/j15bk9gdn/wmSNV36uxPOse8TQLy7fuCTmJ2XON7wNS9b0ay7PuEU+zsHzr/mp+Me5dc38Cdz63N+x7d45Xre/pe7g6v9m87DvmLC1jtv7X3D0++QbeGbvsQ4oc9NX+nbyVqWqii4fX6OO91iwfyfInsWNdb9q/U5+rMNa3ssZO1sqglvmRJrp4eK2Z0VHTvteHkLfTOduz78+MJrp4eK2Z0VHTvtfnClbHHvk75383s2v/1X49fd9lft05zmRXx7H0u5E1rc6vk7cys31+MfcVfjn+3Wshz8U7F5/4GylWpqqJLh5eo4/3WrN8ZKb27aysz8ta+lP38eTni2vrrrOTszLZXKqa6OLhtcbzMk37Vj0hJ9A527Pvz4wmunh4rfG8TNO+VX8Vq2OP/J3zv5vO2k/Zr8o6rlprd5ynP4vV+XXyVubp+7Sbr6+f2Hjn4rMfUizcTfpLFw+v0cd7rVk+MlP7dlbWN5N96j6e/Hx/sbZODyuDWuZHmuji4bWuwV/Li7QoT8gpdM539v5kfqSJLh5e6xr8tbxIi/JXsjL+U9ZwJ521n7JflXVctdbuOE9/Fqvz6+StzNP3aTdfXz+x8c7Fp/6NFEtH3E36SxcPr9HHe61ZPiI9BavmFDrr0/uT9cj8O+nODdfu9UDPq9FIBnN4b9VlnvZn6GStDGoyJwRrsc7TxfPy6FuexqrBX0JOpHO+o/dFrjVYi3WeLp6XR9/yNFYN/t5Fd3zM3b2GO+msXTLjV7BqPN/Ttafx6lCvgNmsR+R5VPtqrLqMbu4qVufXyVsZrY17jeVhBr1qXVTjEWVQr9R5NVUP77GGnIH3XD/zIWUwslHe8zBn9RAN0T7ea9DPat/Oyvoq+/j0/evMz8poDe/H9ew4OuNdz2qzdHqMjEb71rXG87AnXusa6zrzkMgj5AQ6Z3xkNNq3rjWehz3xWtdY15mHRN5VdOdQXePpdNY+MjqX7WdV07p1rXNen4xKrtt74GUtfeca7mR1fp18tr+ZH2miaw/vI28GLzf0aAwrN+Pre6uenIH3bD/1IUVwNyPR9a/2PWb8rPbtrKyvmn3yHnbmZmVQy/wKUX21/+yYFp0eWQb9qNbzRNe/yNAQ7VnXmsgj5AQ6ZzzLrL5foutfZGiI9qxrTeRdRWcO0Xq/xi/2T2uZH2lar/T1+mRUct3eAy9r6TvXcCer8+vks/2t9vTqZvtXx9P8anytZT5qlk7OwXu+n/yQMrD6uJv0H13/at9j1T+JlbXOZJ+6p515jYwF+ljvaRFRvYynseq0NkunR5bRvlef6fpX+937TCfkFDpnPMusvl+i61/td+8z/Uo6cxgZD6v+ZDprtjKoyV5qsF7qtKb16FruUZ+hkuv2HnhZS9+5hjtZnV8nX9nfcY+ghzVVXWvS1+tRwctaOmoV3wLrsU7r5By85/vZf2y2qqGuf7Xv0fGzzFtZWZeXfdP+deaVZX6x/qi+2mt2TItOjyyjfa8+0/Wv9j2tUh/phJxC54xnmdX3S3T9q31Pq9RH+pX8Yg5PWMdddNZuZVCr9vTqvF5yrXNen4xKrtt74GUtfeca7mR1fp18Z39nMlltNlaVX46f+RajrlpL3on3fPkhJdFQ17/a97B81DL/JFbW5e3Zm/avM6/K+vB+XM+OE9VbXlWbpdMjy6zOX3T9q31Py/xII+QkOmc8y6y+X6LrX+17WuZH2tX8Yg5PWMdddNaenYXMjzStW9daw3tPs9B90Iv0Tv9Ir/az6OauYnV+nbyVQS3zI83TtTbuEfSqeDlLR0374z7yLS2rJ2fgPdvLPqSMvhqrLqOT0+PqHpGP9/irr+Veg74m8nWfU1hdm7c/onv+U+jOrbI+9LwajWSQSl3kaX+G2Ww2puejhjWoW3VRVmc04mONlcE6Qk5i9nxn74Xno4Y1qFt1UVZnNOJjjZXBuqtZGR/XIFh1JzO7ZmuvMg11y0Nfa7PX1n2EVys6oj2sRzDj1WrPq8voZK5A1oNYdRkrOW9s7c34FQ09rNGaB/YTLG9Gi3zUda1XQ87Ae66X/42UVXhA383Xn99V63/rPvP9JuRc+H7fC/d/De7fuzn9+b1xfdac+Z6RJ+KdS35IIZfy9ed3xfrHGFWs/J08cU6EkN/A9/teuP9rcP/ezenP763rG/NGrBpC7sY7m398SCGEEEIIIYQQQgghNvyQQgghhBBCCCGEEFKEH1IIIYQQQgghhBBCivBDCiGEEEIIIYQQQkgRfkghhBBCCCGEEEIIKfLHh5Sn/4vJ/Bed383Xnx/Pbwz3h5Bz4ft9L9z/Nbh/7+b058fzScg+vPeLH1LIpXz9+fH8xnB/CDkXvt/3wv1fg/v3bk5/fjyfhOzDe7/4IYVcytefH89vDPeHkHPh+30v3P81uH/v5vTnx/NJyD689+vvDynD9Ij8f5oY3mC3P9jZn/5ef7Cz/9P9wc7+b/cHO/vTp0//Pn+wsz/92B/s7H+6P9jZn/5ef7Cz/93+YGd/+vS/7A/+qZGLfwQwn8jT50divv78eH5juD+EnAvf73vh/q/B/Xs3pz8/nk9C9uG9X/yQQi7l68+P5zeG+0PIufD9vhfu/xrcv3dz+vPj+SRkH/b79e//+V+LiTkf0qM7agAAAABJRU5ErkJggg==" alt="" />

1 explain select col1 from t1;

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" 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2.8 key_len

  索引中使用的字节数,可通过该列计算查询中使用的索引的长度,在不损失精确度的情况下,长度越短越好, key_len显示的值为索引字段的最大可能长度,并非实际使用长度, 即key_len是根据表定义计算而得

1 explain select * from t1 where col1='c1';

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" alt="" />

SQL优化(三)—— 索引、explain分析
1 explain select * from t1 where col1='col1' and col2 = 'col2';
2
3 -- 注意: 为了演示这个结果,我们删除了c1上面的索引
4 alter table t1 drop index ind_t1_c1;
5 -- 执行完成之后,再次创建索引
6 create index ind_t1_c1 on t1(col1);
SQL优化(三)—— 索引、explain分析

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" alt="" />

2.9 ref

  显示索引的哪一列被使用了,如果可能的话,是一个常数.哪些列或者常量被用于查找索引列上的值

1 explain select * from t1,t2 where t1.col1 = t2.col1 and t1.col2 = 'col2';

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alt="" />

2.10 rows

根据表统计信息及索引选用的情况,估算找出所需记录要读取的行数 (有多少行记录被优化器读取)

2.11 extra

包含其它一些非常重要的额外信息

  • Using filesort : 说明mysql会对数据使用一个外部的索引排序,而不是按照表内的索引顺序进行读取,Mysql中无法利用索引完成的排序操作称为文件排序
1 sql
2 explain select col1 from t1 where col1='col1' order by col3;

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alt="" />

1 sql
2 -- 上面这条SQL语句出现了using filesort,但是我们去执行下面这条SQL语句的时候它,又不会出现using filesort
3 explain select col1 from t1 where col1='col1' order by col2;

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" alt="" />

1 sql
2 -- 如何优化第一条SQL语句 ?
3 create index ind_t1_c13 on t1(col1,col3);
4 explain select col1 from t1 where col1='col1' order by col3;

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" alt="" />

  • Using temporary : 使用了临时表保存中间结果,Mysql在对查询结果排序时使用了临时表,常见于order by 和分组查询group by
1 sql
2 explain select col1 from t1 where col1>'col1' group by col2;

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" alt="" />

1 sql
2 explain select col1 from t1 where col1 >'col1' group by col1,col2;

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" 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  • Using index :

  • 查询操作中使用了覆盖索引(查询的列和索引列一致),避免访问了表的数据行,效率好

  • 如果同时出现了using where, 表明索引被用来执行索引键值的查找
  • 如果没有同时出现using where, 表明索引用来读取数据而非执行查找动作
  • 覆盖索引: 查询的列和索引列一致, 换句话说查询的列要被所键的索引覆盖,就是select中数据列只需从索引中就能读取,不必读取原来的数据行,MySql可以利用索引返回select列表中的字段,而不必根据索引再次读取数据文件
1 sql
2 explain select col2 from t1 where col1='col1';

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" alt="" />

1 sql
2 explain select col2 from t1;

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" alt="" />

  • using where : 表明使用了where条件过滤

  • using join buffer : 表明使用了连接缓存, join次数太多了可能会出现

  • impossible where : where子句中的值总是false,不能用来获取任何数据

1 sql
2 explain select * from t1 where col1='zs' and col1='ls';

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ro5K1MVhv68PAafRxrzfKRKP8mOvuSjM7h2OoZ+Ujkn0lnLsnoHI6tnpGPRH6FTi/J6ByOrZ6Rj0Q+OY/OvZaMzuHY6hn5SORX6PSSjM7h2OoZ+Ujk70RnrZLRORxbPSMfifwKnV6S0TkcWz0jH4n8Ckd6nbmOq5G1W+v3dGTURHVdRl/9qX1PW+1XqORe/xsXK5PVhj48vEYfx1qzfKRS+3Q6+5OMzkX3LPKRyD+TzlyS0TkcWz0jH4n8Cp1ektE5HFs9Ix+JfHIenXstGZ3DsdUz8pHIr9DpJRmdw7HVM/KRyN+Jzlolo3M4tnpGPhL5FTq9JKNzOLZ6Rj4S+RWO9DpzHTuR3deq/Y+++lP7nuZdZ7UoX6GS/+SLi4VXJ/rw8Bp9HGvN8pFK7dPp7G9kvPtk9Yx8JPLPpDPXyHh7snpGPhL5FTq9RsZbs9Uz8pHIJ+fRudcj4z1Tq2fkI5FfodNrZLw1Wz0jH4n8neisdWS8e2L1jHwk8it0eo2Mt2arZ+QjkV/hSK8z17ET2X2t2v/oqz+172nedVaL8hUq+c/8HRdLR7wa0YeH1+jjWGuWj4yeA6vmLXT2NzKY9a4tzfKRyD+Tzlwj4+3J6hn5SORX6PQaGW/NVs/IRyKfnEfnXo+M90ytnpGPRH6FTq+R8dZs9Yx8JPJ3orPWkfHuidUz8pHIr9DpNTLemq2ekY9EfoUjvbx9eKCvrzXD82q0r2tmvqUhQ5/VCJGHWDUeo15/at/T5BrBOsvXNTOvSiX/iRcXQbKzvOdhzuoxNET7ONagH9U+nc7+rPsT3bPIRyL/TDpzWXuxNCTykciv0OllrdXSkMhHIp+cR+deW8/S0pDIRyK/QqeXtVZLQyIfifyd6KzVuheWhkQ+EvkVOr2stVoaEvlI5Fc40svLensZ1/Lp1VhjrR31Z9rQo35V3au1GLX6E30L9K1rS+v4FSr5z7y4DLweka4/te9R8aPap9PZn3V/onsW+Ujkn0lnLmsvloZEPhL5FTq9rLVaGhL5SOST8+jca+tZWhoS+UjkV+j0stZqaUjkI5G/E521WvfC0pDIRyK/QqeXtVZLQyIfifwKR3p5WW8v49rKeRlLs3wk8gdeXTT/TPN0r9ZCakc9XqOPY61515bW8StU8p97cRGsPl7voetP7Xsc9d9EZ6+YGdeWhkQ+Evln0pnL2oulIZGPRH6FTi9rrZaGRD4S+eQ8OvfaepaWhkQ+EvkVOr2stVoaEvlI5O9EZ63WvbA0JPKRyK/Q6WWt1dKQyEciv8KRXl7W28u4tnJextNkjKCX8UdNVs9qQ7ewaj1GvZWLtGgu7UfjI1R6ffIv52c11PWn9j06fpR5Kp196YyMUbN6Rj4S+WfSmUtnZIya1TPykciv0OmlMzJGzeoZ+Ujkk/Po3GudkTFqVs/IRyK/QqeXzsgYNatn5CORvxOdteqMjFGzekY+EvkVOr10RsaoWT0jH4n8Ckd6eVlvL+PaynmZmYZ0fC+Tra3kq4wenbVU/WjsaRkqOb64TDTU9af2PSwftch/E5196YyMUbN6numfSaevzsgYNavnmX6FTk5nZIya1fNMn5xH577qjIxRs3qe6Vfo5HRGxqhZPc/0d6KzLp2RMWpWzzP9Cp2czsgYNavnmX6Fbk7wst5ax7V8ejXWWGtH/Zk29KhfVfdqPUZ9thdqq/0KldwlLy7SV2PVRXRyel7dY+bjGD/19Rhr0NfMfN3nLVT35t0Ta2zVah3J+GdT7eutxxpbtVpHMn6Vas6bzxpbtVpHMj45l+p99Z6HNbZqtY5k/CrVnDefNbZqtY5k/N2orsvbjzW2arWOZPwq1Zw3nzW2arWOZPwqnZyeF3tozbq2PA3W6hrtrfCxDj3UkahG+xEjo7NWT9Q8ZvlMD6ytUMle+huXo+y+PjLn68/v7fvn9/Pb8HyTGTwfz+aO/fE79x0qz5ovLuQyvv783r5/fj+/Dc83mcHz8Wyu3p/MN7B88i4qz/nXiwshhBBCCCGE7AhfXAghhBBCCCHbwxcXQgghhBBCyPbwxYUQQgghhBCyPXxxIYQQQgghhGzPrxeX3f/1Bv7rEs/m68/v7fvn9/Pb8HyTGTwfz4bnn6ykcr744kIu4+vP7+375/fz2/B8kxk8H8+G55+spHK++OJCLuPrz+/t++f389vwfJMZPB/PhuefrKRyvn6k2ONPgaELfxsYnrDaF1b2p7/WF1b2390XVva/2xdW9qe/ty+s7H+3L6zs/3ZfWNn/bl9Y2f9uX1jZn/63fWHUWPA3LuQyvv783r5/fj+/Dc83mcHz8Wx4/slKKueLLy7kMr7+/N6+f34/vw3PN5nB8/FseP7JSirniy8u5DK+/vzevn9+P78NzzeZwfPxbHj+yUoq5+vXiwshhBBCCCGE7AhfXAghhBBCCCHbwxcXQgghhBBCyOb88+//AUap4Av3zggTAAAAAElFTkSuQmCC" alt="" />

  • select tables optimized away :

  • 在没有group by 子句的情况下, 基于索引优化min/max操作或者对于MyISAM存储引擎优化count(*)操作,不必等到执行阶段再进行计算,查询执行计划生成阶段即完成优化

  • distinct : 优化distinct操作,在找到第一个匹配的数据后即停止查找同样的值的动作

3、小练习

1 explain select a1.name,(select id from t3) a2
2 from
3 (select id,name from t1 where name='zs1') a1
4 union
5 select name,id from t2;

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" alt="" />

执行顺序如下:
SQL优化(三)—— 索引、explain分析
1 id=4, select_type为union, union后的select语句先被执行
2
3 id=3, 因为(select id,name from t1 where name='zs1')被当作一张表处理,所以为select_type 为derived
4
5 id=2, select_type为SUBQUERY,为select后面的子查询
6
7 id=1, 表示union中的第一个select, select_type为primary表示该查询为外层查询,table被标记为<derived3>,表示结果来自衍生表
8
9 id=null,代表从union的临时表中读取行记录, <union1,4>表示将id=1和id=4的结果进行union操作
SQL优化(三)—— 索引、explain分析

4、索引优化

4.1 索引分析

单表
SQL优化(三)—— 索引、explain分析
 1 create table if not exists article(
2 id int primary key auto_increment,
3 author_id int not null,
4 category_id int not null,
5 views int not null,
6 comments int not null,
7 title varchar(255) not null,
8 content text not null
9 );
10
11 insert into article values(null,1,1,1,1,'1','1');
12 insert into article values(null,2,2,2,2,'2','2');
13 insert into article values(null,1,1,3,3,'3','3');
14
15 select * from article;
16
17 -- 查询category_id为1且comments 大于 1 的所有记录,显示id,author_id,views
18
19 explain select id,author_id,views from article
20 where category_id = 1
21 and comments > 1;
SQL优化(三)—— 索引、explain分析

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" alt="" />

SQL优化(三)—— 索引、explain分析
1 -- 查询category_id为1且comments 大于 1 的所有记录,显示id,author_id,views
2 -- 并且找出views查看次数最多的记录
3 explain select id,author_id,views from article
4 where category_id = 1
5 and comments > 1
6 order by views desc limit 1;
SQL优化(三)—— 索引、explain分析

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" alt="" />

SQL优化(三)—— 索引、explain分析
 1 -- 总结上面出现的情况:type=all,产生了全表扫描, 并且出现了Using filesort,使用了外部的索引排序,所以优化是必须的
2
3 -- 创建索引:
4 create index ind_article_ccv on article(category_id,comments,views);
5
6 --执行如下指令:
7 explain select id,author_id,views from article
8 where category_id = 1
9 and comments > 1
10 order by views desc limit 1;
SQL优化(三)—— 索引、explain分析

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alt="" />

SQL优化(三)—— 索引、explain分析
 1 创建索引之后type=range, 但是Using filesort 依然存在.
2
3 索引创建了,为什么在排序的时候没有生效?
4 这是因为先排序category_id, 如果遇到相同的category_id,则再排序comments, 如果遇到相同的comments则再排序views,
5 当comments字段在联合索引处于中间位置时,
6 因为comments>1条件是一个范围值,所以type=range
7 mysql无法再利用索引对后面的views部分进行检索,即range类型查询字段后面的索引全都无效
8
9 综上所述: 索引创建有问题
10
11 -- 删除上面创建的索引:
12 drop index ind_article_ccv on article;
13 -- 重新创建索引:
14 create index ind_art_cb on article(category_id,views);
15 -- 重新执行如下代码
16
17 explain select id,author_id,views from article
18 where category_id = 1
19 and comments > 1
20 order by views desc limit 1;
SQL优化(三)—— 索引、explain分析

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" alt="" />

两张表
SQL准备
SQL优化(三)—— 索引、explain分析
 1 create table if not exists class(
2 id int(10) primary key auto_increment,
3 card int not null
4 );
5
6 create table if not exists book(
7 bookid int primary key auto_increment,
8 card int not null
9 );
10
11 insert into class(card) values(floor(1+rand()*20));
12 insert into class(card) values(floor(1+rand()*20));
13 insert into class(card) values(floor(1+rand()*20));
14 insert into class(card) values(floor(1+rand()*20));
15 insert into class(card) values(floor(1+rand()*20));
16 insert into class(card) values(floor(1+rand()*20));
17 insert into class(card) values(floor(1+rand()*20));
18 insert into class(card) values(floor(1+rand()*20));
19 insert into class(card) values(floor(1+rand()*20));
20 insert into class(card) values(floor(1+rand()*20));
21
22 insert into book(card) values(floor(1+rand()*20));
23 insert into book(card) values(floor(1+rand()*20));
24 insert into book(card) values(floor(1+rand()*20));
25 insert into book(card) values(floor(1+rand()*20));
26 insert into book(card) values(floor(1+rand()*20));
27 insert into book(card) values(floor(1+rand()*20));
28 insert into book(card) values(floor(1+rand()*20));
29 insert into book(card) values(floor(1+rand()*20));
30 insert into book(card) values(floor(1+rand()*20));
31 insert into book(card) values(floor(1+rand()*20));
32 -- 下面开始分析
33 explain select * from class left join book on class.card = book.card;
34
35 +----+-------------+-------+------+---------------+------+---------+------+------+-------+
36 | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
37 +----+-------------+-------+------+---------------+------+---------+------+------+-------+
38 | 1 | SIMPLE | class | ALL | NULL | NULL | NULL | NULL | 10 | |
39 | 1 | SIMPLE | book | ALL | NULL | NULL | NULL | NULL | 10 | |
40 +----+-------------+-------+------+---------------+------+---------+------+------+-------+
41
42 -- 结论: type 都有all
43 create index X on book(card);
44
45 -- 分析
46 explain select * from class left join book on class.card = book.card;
47 -- 我们可以看到第二行的type变为了ref,rows也变小了,优化效果明显
SQL优化(三)—— 索引、explain分析

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QQQgghjfBfpEFa+fr5nb5+/j6/De838eD+kU74/iE7g86PH12kla+f3+nr5+/z2/B+Ew/uH+mE7x+yM+j8+NFFWvn6+Z2+fv4+vw3vN/Hg/pFO+P4hO4POr/2j62r9qn/4NKtaNJZYfo3UJSj3BDrX9oZ9u9Ij8o7YRGsZ/W5W50G9zZgmq0sindzL6j6js5kxTVaXRPoqq3XQ3DOmyeqSSN+N1T7R2mZMk9UlkU7exdPn6M1/xz3jPX036PzaPrrmhbtav+JHnmxsxqcmn6UuxzqGdEnkP4mOdY2aE6TvxJUeLW9U85f7UplreLRPjlHNSJdEOrmPyl4Pj/bJMaoZ6ZJIX6FSa3i0T45RzUiXRPpOVHodHu2TY1Qz0iWRTt7DU2c55p1YOnpe5YqXPA86vyP/SRdcaDI241OTz1KXYx1DumQl9+10ru8Ne3elx+FF/qjmL/elMhdalxyjmpEuiXRyH5W9Hh7tk2NUM9Ilkb5CpdbwaJ8co5qRLon0naj0OjzaJ8eoZqRLIp28h6fPMrqLXiwD7+q7gXeh+1Cv1q/4sx4rb8SnJp+lLsc6hnTJSu7b6VzfG/au2uP0IX9U85f7UpkLrc16RjGkSyKd3Edlr6fHOlNUM9Ilkb5Cpdb0WD2jmpEuifSdqPQ6PdaeoJqRLol08h6ePsvoLnqxDLyr7wbehe5DvVq/87JaOSM+NfksdTnWMaRLZs0JyjmFK+uL9sirnfFqVvQsV33IH9WszlmhMhdam/WMYkiXRDq5j8peT491pqhmpEsifYVKremxekY1I10S6TtR6XV6rD1BNSNdEunkPTx9ltFd9GIZeFffDbwL3Yd6tf4V//B6fkuTPlRjxiRal2ON1KPct1NdX2ZPrdqRN6oV6Svc4dM1oprVOStU5kJrQzFJpEsindxHZa/RWaKYJNIlkb5CpRbqFcUkkS6J9J2o9Ir2AsUkkS6JdPIenj7L6C56sQy8q+8G3oXuQ71a/47+rBpRXP/VusWKHuW+ncr6sp5M3sjReZEvO3+Gaq3Z90RrcqyJ9DupzCU98xnFJJEuiXRyH5W9RmeJYpJIl0T6CpVaqFcUk0S6JNJ3otIr2gsUk0S6JNLJe3j6LKO76MUy8K6+G3gXug/1av27+oOLN2rPuP6rdYur+klU1pr1eHlDmzrKm7rMW9GzVLzaE401V/pd5er65jOKSSJdEunkPip7jc4SxSSRLon0FSq1UK8oJol0SaTvRKVXtBcoJol0SaST9/D0WUZ30Ytl4F19N/AudB/q1foVP1xoMibj+q/WLSp65HkrlXVlPVaejmfqRTnZnjQVH/LIWFevFe5Y3xjLGKoZ6ZJIJ/dR2WvtGWMZQzUjXRLpK1Rqac8YyxiqGemSSN+JSq/aM8YyhmpGuiTSyXt4+iyju+jFMvCuvht4F7oP9Wr9ih8uNBmTcf1X6xZIl7FIP4nqurRvZc9kfDyv1or0FSq+q/1F+p1U6mrPGMsYqnmnTu6jsq/aM8Yyhmreqa9Q8WnPGMsYqnmnvhOVvrRnjGUM1bxTJ+/h6XOz5o/uWxbey3eDzq/to2vU1aC8iIpPz6treLocy7/6eY41Utd4uq5zClfWZu2PjCNd5uhnOZZMLaOvsOpFc8qYR5Q7693Jal2rHzRGuTouyejkXlb31ToPNEa5Oi7J6Kus+qz50Bjl6rgko+/Gal/WetAY5eq4JKOTd/HUuem7g/qw4itc9ZNngfdi90PlpXs3Xz+/09fP3+e34f0mHtw/0gnfP2Rn0Pnxo4u08vXzO339/H1+G95v4sH9I53w/UN2Bp0fP7pIK18/v9PXz9/nt+H9Jh7cP9IJ3z9kZ9D58aOLtPL18zt9/fx9fhveb+LB/SOd8P1DdgadHz+6SCtfP7/T18/f57fh/SYe3D/SCd8/ZGfQ+bV/dF2tX/UPn2ZVi8YSy6+RugTlnsDJa8tw+vpX1zfvu/ShGHkHq2eGzhrFduGOnnZc1694au273ifJl+/FXZx+xqv+kT/xYhGr+Xfz9Px3gdbQ9tE1N+1q/YofebKxGZ+afJa6HOsY0iWR/yRW1zXyO/eiu77ml3MhfrGfKO6BPE/vE6lx+vlf7Wv4d13bL1hd+137tfO+z9527e/XXNmLXfdwrulqfxU/8qzWuaP3K9w5/5NrQfMe+U+64EKTsRmfmnyWuhzrGNIlK7lvp7K+7j355Z4/eb5y7q4+qnV/0Rvp5/Tzv9rb8O+8vm4qa//Kfn35Xmiqe7H7Hl7tr+JHnt33qZun1g/PoruZq/Ur/qzHyhvxqclnqcuxjiFdspL7dirr696TX+75k+f7i7mrc0jfk3tErnH6+V/pbXp3Xl83lbV/Zb++fC801b3YfQ+v9lfxI8/u+9TNU+uHZ9HdzNX6VX/GZ+WM+NTks9TlWMeQLpk1JyjnFCrrmx5vf6Zm5Xi6HFs5d7FaV/ejxygv0rR+J1dqd/dG+jn9/Kv9Sd/ua+yksvbpGX8nKMfSrbjWNFaejK8Q1fBqZ7yaFT2D57U0HddjlIf0LFXfr7jaX8WPPDo2xhqkSY/UsnlejoXnkfFMnpWT1eRY5mRBvmM/ugbD6/ktTfpQjRmTaF2ONVKPct9OZX3D4+0Rqunl61iUeyfV+sO30nM2djdX5hjeX/RI+jj9/Kv9Sd/ua+yksvbh0b5oP7MxHUfP2mfV8cjUsOpG3qhWpGfw5vQ0GbM8Vr6OZaj6fsXV/ir+aH8j3YvNuNbk2NNWsHwj7s2BfCu6HqP8LHCuKwUzXK1/R39WjSiu/2rdYkWPct9OZX3IE+1ZRUd5d1Odw/MhLRu7mytzDO8veiR9nH7+lf60Z/c1dnLH/ulYpHsxHc/UtepYZPMzeWj+yJed32LFj/qbcR2brOZ7VH2/4mp/FX+0v9maVt5q/ex8mrvm17FIlzEUXwHWvVo0oqPpCnDxRu0Z13+1bnFVP4nKWpFHxu7QJzKng+ocnk/2L0F5OnY31Tmk7xd9kh5OP/9Kb8NjgfJPprJm5JGxuZcamT/zdEzHvec5lvEM2XwvL5p/6jJvRffI5Mu6KN+rsZrvUfX9iqv9VfyZ/R1jidRkTjauY7OuVSOD5UVxGcvoCJkv83R8BVj3atGIjqYj4EKTMRnXf7VuUdEjz1uprCvanzt1lHsn1fqeL1uze22DO9b3iz5JD6ef/x29ffl+V9aOPDKWrWnlWbXms/ZZdSyy+VZeZf4oJ9vTYLUWyvdqrOZ7VH2/4mp/FX9lf1c8UW40V5Y75490xMjL5lrAXq4WjehoOgIuNBmTcf1X6xZIl7FIP4nKuobH2y9U08vXsUy9u6jW9nxIy8bupjLHU72S+zn9/O/o68t3u+N+RLoX03H0rGNybMU0yCPHVkzHx/NqrYyOciRa1375jGqh2ERrVo0MVd+vuNpfxY88MhbpXsyK69gYS6SWxfKhuIxpfYw9HcWi/CxwrisFPUZdDcqLqPj0vLqGp8ux/Kuf51gjdY2n6zqnUFnb9Hh7MzUrx9J1TI/vZrWu7GeSyfM0rd/Jam3UE4qRd7B6ZuisUWwXrvQk1zVBeSezuma0V1FMxpEmdR1bfUZji5mnc2Uc6TJHP8uxZGoruowhLL/UrGeJ9E207uV6VDy/YK5HgvIirvisubW2omdiUpM5OmYh602QthLzdBnXuVZOFuRr/yddV9m9P+Lz9fM7ff38fX4b3m/iwf0jnfD9sx+o56++B+Be7L4ZXz2sU/j6+Z2+fv4+vw3vN/Hg/pFO+P7Zk9G3BOV8AbT2PzpACCGEEEIIIeQ++NFFCCGEEEIIIY3wo4sQQgghhBBCGuFHFyGEEEIIIYQ0wo8uQgghhBBCCGmE//ZC0srXz+/09fP3+W14v4kH9490wvcP2Rl0fvzoIq18/fxOXz9/n9+G95t4cP9IJ3z/kJ1B58ePLtLK18/v9PXz9/lteL+JB/ePdML3D9kZdH5/P7okMxHxrwlog2590Fmfeq8+6Ky/uz7orP+0PuisT31vfdBZ/2l90Fn/dH3QWZ/6t/VBZ/2n9UFnfeq9+uCvPh92Zff+iM/Xz+/09fP3+W14v4kH9490wvcP2Rl0fvzoIq18/fxOXz9/n9+G95t4cP9IJ3z/kJ1B58ePLtLK18/v9PXz9/lteL+JB/ePdML3D9mZ/39+//znfwFQR/LQR6ZPBAAAAABJRU5ErkJggg==" alt="" />

1 -- 这是由左连接特型决定的.left join条件用于确定如何从右表搜索行,左边一定都有,所有右边一定要建立索引
2
3 -- 我们再来看一个右外连接
4 explain select * from class right join book on class.card = book.card;

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" alt="" />

三张表
SQL准备
SQL优化(三)—— 索引、explain分析
 1 create table if not exists phone(
2 phoneid int primary key auto_increment,
3 card int
4 );
5
6 insert into phone(card) values(floor(1+rand()*20));
7 insert into phone(card) values(floor(1+rand()*20));
8 insert into phone(card) values(floor(1+rand()*20));
9 insert into phone(card) values(floor(1+rand()*20));
10 insert into phone(card) values(floor(1+rand()*20));
11 insert into phone(card) values(floor(1+rand()*20));
12 insert into phone(card) values(floor(1+rand()*20));
13 insert into phone(card) values(floor(1+rand()*20));
14 insert into phone(card) values(floor(1+rand()*20));
15 insert into phone(card) values(floor(1+rand()*20));
16
17 -- 在没有添加索引的情况下执行如下语句
18 explain select * from class left join book on class.card = book.card left join phone on book.card = phone.card;
19
20 -- 创建索引:
21 create index Y on book(card);
22 create index Z on phone(card);
SQL优化(三)—— 索引、explain分析

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" alt="" />

SQL优化(三)—— 索引、explain分析
1 -- 后2行的type都是ref且总rows数量大大降低了,效果不错,因此索引最好是设置在需要经常查询的字段中
2
3 -- 结论:
4 尽可能减少join语句中的循环总次数: 永远用小结果集驱动大的结果集;
5 优先优化内层循环
6 保证join语句中被驱动表上的join条件字段已经创建过索引
7 当无法保证被驱动表的join条件字段是否有索引且内存资源充足的前提下,不要太吝惜JoinBuffer的设置
SQL优化(三)—— 索引、explain分析

4.2 索引失效

建表语句

SQL优化(三)—— 索引、explain分析
 1 create table emp(
2 empno int primary key auto_increment,
3 ename varchar(24) not null default '' comment '姓名',
4 age int not null default 0 comment '年龄',
5 job varchar(20) not null default '' comment '职位',
6 hiredate timestamp not null default current_timestamp comment '入职时间'
7 );
8
9 insert into emp(ename,age,job,hiredate) values('zs',22,'manager',now());
10 insert into emp(ename,age,job,hiredate) values('ls',23,'dev',now());
11 insert into emp(ename,age,job,hiredate) values('1000',24,'manager',now());
12 insert into emp(ename,age,job,hiredate) values('zss',22,'manager',now());
13 insert into emp(ename,age,job,hiredate) values('xzss',22,'manager',now());
14
15 select * from emp;
16
17 create index ind_emp_naj on emp(ename,age,job);
SQL优化(三)—— 索引、explain分析
  1. 全值匹配我最爱: 查询的条件列刚好和索引创建的列数量和顺序相同
SQL优化(三)—— 索引、explain分析
 1 ```sql
2 explain select * from emp where ename=‘zs’;
3 explain select * from emp where ename=‘zs’ and age=22;
4 explain select * from emp where ename=‘zs’ and age=22 and job=‘manager’;
5
6 -- 有问题的sql
7 explain select * from emp where age=22 and job=‘manager’;
8 explain select * from emp where job=‘manager’;
9 – 没有问题的sql
10 explain select * from emp where ename=‘zs’;
11 ```
SQL优化(三)—— 索引、explain分析

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" alt="" />

  2. 最佳左前缀法则: 如果索引了多列,要遵循最左前缀法则. 查询从索引的最左列开始并且不跳过索引中的列

SQL优化(三)—— 索引、explain分析
1 ```sql
2 explain select * from emp where ename=‘zs’ and job=‘manager’;
3
4 explain select * from emp where job=‘manager’;
5
6 explain select * from emp where ename=‘zs’;
7 ```
SQL优化(三)—— 索引、explain分析

  3.不在索引上做任何操作(计算,函数,(自动/手动)类型转换,这样会导致索引失效而转向全表扫描

1 sql
2 explain select * from emp where left(ename,2)='zs';

  4.存储引擎不能使用索引中范围条件右边的列

SQL优化(三)—— 索引、explain分析
1 ```sql
2 – 使用到了索引
3 explain select * from emp where ename=‘zs’;
4 explain select * from emp where ename=‘zs’ and age=22;
5 explain select * from emp where ename=‘zs’ and age=22 and job=‘manager’;
6
7 explain select * from emp where ename=‘zs’ and age>22 and job=‘manager’;
8 ```
SQL优化(三)—— 索引、explain分析

  5.尽量使用覆盖索引(要查询的列和索引中的列一致),避免使用select *

1 sql
2 explain select * from emp where ename='zs' and age=22 and job='manager';
3 explain select ename,age,job from emp where ename='zs' and age=22 and job='manager';
4 explain select ename,age,job from emp where ename='zs' and age>22 and job='manager';
5 explain select ename,age,job from emp where ename='zs' and age=22;

  6.mysql在使用不等于条件判断的时候,索引会失效引发全表扫描

1 sql
2 explain select * from emp where ename='zs';
3 explain select * from emp where ename != 'zs';

  7.is null, is not null 索引会失效,无法使用索引

1 sql
2 explain select * from emp where ename is null;
3 explain select * from emp where ename is not null;​

  7.like以通配符开头(‘%xxx…’)索引会失效,导致全表扫描

SQL优化(三)—— 索引、explain分析
 1 ```sql
2 explain select * from emp where ename like ‘%zs%’;
3 explain select * from emp where ename like ‘%zs’;
4 explain select * from emp where ename like ‘zs%’;
5
6 问题: 解决like ‘%xxx%’ 时索引失效的问题
7 explain select ename from emp where ename like ‘%zs%’;
8
9 explain select ename,age from emp where ename like ‘%zs%’;
10 explain select ename,age,job from emp where ename like ‘%zs%’;
11 explain select ename,age,job,hiredate from emp where ename like ‘%zs%’;
12 ```
SQL优化(三)—— 索引、explain分析

  8.字符串不加单引号索引失效

1 sql
2 explain select * from emp where ename=1000;
3 explain select * from emp where ename='1000';

  9.少用or,它会导致索引失效

1 explain select * from emp where ename='zs' or ename='ls';
  10.小总结

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*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" alt="" />

4.3 面试题分析

SQL优化(三)—— 索引、explain分析
 1 create table test3(
2 id int primary key auto_increment,
3 c1 char(10),
4 c2 char(10),
5 c3 char(10),
6 c4 char(10),
7 c5 char(10)
8 );
9
10 insert into test3 values(null,'a1','a2','a3','a4','a5');
11 insert into test3 values(null,'b1','b2','b3','b4','b5');
12 insert into test3 values(null,'c1','c2','c3','c4','c5');
13 insert into test3 values(null,'d1','d2','d3','d4','d5');
14 insert into test3 values(null,'e1','e2','e3','e4','e5');
15
16 select * from test3;
17
18 -- 创建索引
19 create index ind_test3_c1234 on test3(c1,c2,c3,c4);
20 show index from test3;
21
22 explain select * from test3 where c1='a1';
23 explain select * from test3 where c1='a1' and c2='a2';
24 explain select * from test3 where c1='a1' and c2='a2' and c3='a3';
25 explain select * from test3 where c1='a1' and c2='a2' and c3='a3' and c4='a4';
26 explain select * from test3 where c1='a1' and c2='a2' and c3='a3' and c4='a4' and c5='a5';
27
28 -- 请执行如下问题SQL,分析会出现的问题
29 -- (1)
30 explain select * from test3 where c1='a1' and c2='a2' and c4='a4' and c3='a3' ;
31 -- (2)
32 explain select * from test3 where c4='a1' and c3='a2' and c2='a4' and c1='a3' ;
33 -- (3)
34 explain select * from test3 where c1='a1' and c2='a2' and c3>'a3' and c4='a4';
35 -- (4)
36 explain select * from test3 where c1='a1' and c2='a2' and c4>'a4' and c3='a3';
37 -- (5)
38 explain select * from test3 where c1='a1' and c2='a2' and c4='a4' order by c3;
39 -- (6)
40 explain select * from test3 where c1='a1' and c2='a2' order by c3;
41 -- (7)
42 explain select * from test3 where c1='a1' and c2='a2' order by c4;
43 -- (8)
44 explain select * from test3 where c1='a1' and c5='a5' order by c2,c3;
45 只用了c1这个字段索引,但是c2,c3用于排序,无filesort
46 explain select * from test3 where c1='a1' and c5='a5' order by c3,c2;
47 只用了c1这个字段索引,但是由于c3,c2顺序颠倒了,所以无法使用索引排序,出现filesort
48
49 -- (9)
50 explain select * from test3 where c1='a1' and c2='a2' order by c2,c3;
51 -- (10)
52 explain select * from test3 where c1='a1' and c2='a2' and c5='a5' order by c2,c3;
53 用到了c1,c2两个字段索引,但是c2,c3用于排序,无filesort
54 explain select * from test3 where c1='a1' and c2='a2' and c5='a5' order by c3,c2;
55 排序字段已经是一个常量,所以不会出现filesort
56
57 -- (11)
58 explain select * from test3 where c1='a1' and c4='c4' group by c2,c3;
59 用到了c1字段索引
60 explain select * from test3 where c1='a1' and c4='c4' group by c3,c2;
61 索引字段顺序不正确,出现了Using temporary; Using filesort
SQL优化(三)—— 索引、explain分析
  建议
    1. 对于单列索引,尽量选择针对当前查询过滤性更好的索引
    2. 在选择复合索引的时候,当前查询中过滤性最好的字段在索引字段顺序中,位置越靠前越好
    3. 在创建复合索引的时候,尽量选择能够包含查询中where子句中更多的字段
    4. 尽可能通过分析统计信息和调整查询的写法来达到选择合适索引的目的

4.4 in和exists

优化规则: 小表驱动大表,即小的数据集驱动大的数据集

SQL优化(三)—— 索引、explain分析
 1 -- 当A的数据集大于B的数据集时, in 优于 exists
2 select * from A where id in (select id from B);
3 等价于:
4 for select id from B
5 for select * from A where A.id = B.id;
6
7 -- 当A的数据集小于B的数据集时, exists优于in
8 select * from A where exists(select 1 from B where B.id = A.id);
9 等价于:
10 for select * from A
11 for select * from B where B.id = A.id
SQL优化(三)—— 索引、explain分析

4.5 Order by 排序优化

  1. order by 子句,尽量使用index方式排序,避免使用Filesort方式排序
1 sql
2 select * from emp order by age
3 select * from emp order by age,birth
4 select * from emp order by birth,age
5 select * from emp order by age asc,birth desc;

尽可能再索引列上完成排序操作,遵照索引建的最佳左前缀

  1. 如果不在索引列上,filesort算法:双路排序,单路排序

  2. 双路排序: mysql4.1之前使用的双路排序,字面意思就是扫描两次磁盘,从而得到最终的数据,读取行指针和order by 列,对它们进行排序,然后扫描已经排序好的列表,按照列表中的值重新从列表中读取对应的数据输出. 从磁盘取排序字段,在buffer进行排序,再从磁盘取其它字段

  3. 单路排序:从磁盘读取查询需要的所有列,按照order by列在buffer对它们进行排序,然后扫描排序后的列表进行输出,它的效率更快一些,避免了第二次读取数据.并且把随机IO变成了顺序IO,但是它会使用更多的空间,因为它把每一行都保存到内存中
  4. 结论:
    1. 单路排序,优于双路排序
    2. 在sort_buffer中,单路要比双路占用更多的空间,因为单路是把所有的字段都取出来,有可能导致取出的数据总大小超出了sort_buffer的容量,导致每次只能取sort_buffer容量大小的数据,进行排序(创建tmp,多路合并),排完再取sort_buffer容量大小,再排…从而导致了多次IO. (本来想节省一次IO操作,反而导致了大量的IO操作,得不偿失)
  5. 优化策略

  6. 增大sort_buffer_size参数设置

  7. 增大max_length_for_sort_data参数设置
  8. why
    1. order by时,select * 时一个大忌,只查询需要的字段,这点非常重要.
      1. 当查询的字段大小总和小于max_length_for_sort_data而且排序字段不是TEXT|BLOB类型时,会用单路排序,否则会用多路排序
      2. 两种算法的数据都有可能超过sort_buffer的容量,超出之后,会创建tmp文件进行合并排序,导致多次IO,但是用单路排序算法的风险会更大一些,所以要提高sort_buffer_size
    2. 尝试调高sort_buffer_size: 不管使用哪种算法,提高这个参数都会提高效率,当然,要根据系统的能力去调高,因为这个参数是针对每个进程的
    3. 尝试调高max_length_for_sort_data: 调高这个参数,会增加使用单路算法的概率,但是如果设置太高,数据总容量超出sort_buffer_size的概率就增大,明显症状是高的磁盘IO活动和低的处理器使用率
  9. 总结

SQL优化(三)—— 索引、explain分析
 1 ```sql
2 mysql有两种排序方式: 文件排序和扫描有序索引排序
3 mysql能为排序和查询使用相同的索引
4
5 index abc(a,b,c)
6 order by 能使用最左前缀
7 order by a
8 order by b
9 order by a,b,c
10 order by a desc,b desc,c desc
11
12 如果where使用索引的最前缀定义为常量,则order by能使用索引
13 where a=const order by b,c
14 where a=const and b = const order by c
15 where a=const order by b,c
16 where a=const and b > const order by b,c
17
18 不能使用索引进行排序
19 order by a asc,b desc, c desc /*排序顺序不一致*/
20 where g=const order by b,c /*丢失a索引*/
21 where a=const order by c /*丢失b索引*/
22 where a=const order by a,d /*d不是索引*/
23 where a in(…) order by b,c /*对于排序来说,in 相当于是范围查询*/
24 ```
SQL优化(三)—— 索引、explain分析
 
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