Index Merge用在通过一些range scans得到检索数据行和合并成一个整体。合并可以通过 unions,intersections,或者unions-intersection运用在底层的扫描上。合并Index scans结果只能在一个表中,不能合并多张表的scans结果;

在explain执行计划输出中,index merge方法出现在 type 列,显示index merge,这种情况下key 列显示一列使用indexes,并且key_len列包含一列这些indexes 的最长部分;

Examples:

SELECT * FROM tbl_name WHERE key1 = 10 OR key2 = 20;

SELECT * FROM tbl_name
WHERE (key1 = 10 OR key2 = 20) AND non_key=30; SELECT * FROM t1, t2
WHERE (t1.key1 IN (1,2) OR t1.key2 LIKE 'value%')
AND t2.key1=t1.some_col; SELECT * FROM t1, t2
WHERE t1.key1=1
AND (t2.key1=t1.some_col OR t2.key2=t1.some_col2);

Index Merge 方法有许多access算法 ( Extra 列 Explain 输出):

Using intersect(...)

Using union(...)

Using sort_union(...)
   
    1:如果查询语句在含有复杂的内嵌的深度and / or where语句,Mysql不会选择最佳的执行计划,
(x AND y) OR z = (x OR z) AND (y OR z)
(x OR y) AND z = (x AND z) OR (y AND z)

2:index merge 不适用在full-text index;

The Index Merge Intersection Access Algorithm

    该access算法在运用在,当where子句中不同的index range conditions用 and 组合时:

1:index包括 N部分(所有index部分都包含):

key_part1=const1 AND key_part2=const2 ... AND key_partN=constN

2:  任何innodb主键上范围条件;

SELECT * FROM innodb_table WHERE primary_key < 10 AND key_col1=20;

SELECT * FROM tbl_name
WHERE (key1_part1=1 AND key1_part2=2) AND key2=2;

Index merge intersection 算法同时在所有使用的indexes上执行scan,并且从合并的Index扫描中产生行序列的交集;

如果查询中的所有列都被使用的indexes所涵盖,完整的数据行不会被回访(只访问索引数据)(此时explain 输出包含显示using index 在extra列):

SELECT COUNT(*) FROM t1 WHERE key1=1 AND key2=1;

如果使用的indexes并不涵盖查询中的所有列,完整的数据行(基表的数据行)只会在范围条件被所有使用的Indexes都满足的情况下才会被回访;

如果在innodb table中,一个合并条件是在主键上,则他不会被使用在基表数据行的回访,被用在过滤其他条件回访返回的数据行;

index merge union access algorithm

该算法试用在表的where语句在不同的index上的不同范围条件的 Or 组合:

SELECT * FROM t1 WHERE key1=1 OR key2=2 OR key3=3;

SELECT * FROM innodb_table WHERE (key1=1 AND key2=2) OR
(key3='foo' AND key4='bar') AND key5=5;

Index Merge sort-union access algorithm

SELECT * FROM tbl_name WHERE key_col1 < 10 OR key_col2 < 20;

SELECT * FROM tbl_name
WHERE (key_col1 > 10 OR key_col2 = 20) AND nonkey_col=30;

sort-union algorithm 和 the union algorithm 之间的区别在于必须首先获得所有的rows,并且对其排序被返回;

mysql> explain select * from employees where  emp_no < 257654 and hire_date = '1990-09-06';
+----+-------------+-----------+-------------+-------------------+-------------------+---------+------+------+-------------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------------+-------------------+-------------------+---------+------+------+-------------------------------------------------+
| 1 | SIMPLE | employees | index_merge | PRIMARY,inx_hi_dt | inx_hi_dt,PRIMARY | 7,4 | NULL | 16 | Using intersect(inx_hi_dt,PRIMARY); Using where |
+----+-------------+-----------+-------------+-------------------+-------------------+---------+------+------+-------------------------------------------------+
1 row in set (0.09 sec)
mysql> explain select * from employees where  emp_no < 257654 or  hire_date = '1990-09-06';
+----+-------------+-----------+-------------+-------------------+-------------------+---------+------+--------+---------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------------+-------------------+-------------------+---------+------+--------+---------------------------------------------+
| 1 | SIMPLE | employees | index_merge | PRIMARY,inx_hi_dt | PRIMARY,inx_hi_dt | 4,3 | NULL | 149716 | Using union(PRIMARY,inx_hi_dt); Using where |
+----+-------------+-----------+-------------+-------------------+-------------------+---------+------+--------+---------------------------------------------+
1 row in set (0.00 sec)
mysql> desc select  birth_date  from  employees where birth_date ='1961-07-09' and hire_date ='1986-06-29';
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+----------------------------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+----------------------------------------------------------------+
| 1 | SIMPLE | employees | index_merge | inx_hi_dt,idx_br_dt | idx_br_dt,inx_hi_dt | 3,3 | NULL | 1 | Using intersect(idx_br_dt,inx_hi_dt); Using where; Using index |
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+----------------------------------------------------------------+
1 row in set (0.00 sec)
mysql> desc select  birth_date  from  employees where birth_date ='1961-07-09' or  hire_date ='1986-06-29';
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+-----------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+-----------------------------------------------+
| 1 | SIMPLE | employees | index_merge | inx_hi_dt,idx_br_dt | idx_br_dt,inx_hi_dt | 3,3 | NULL | 166 | Using union(idx_br_dt,inx_hi_dt); Using where |
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+-----------------------------------------------+
1 row in set (0.02 sec)
mysql> desc select  birth_date  from  employees where birth_date < '1950-07-09' or  hire_date < '1970-06-29';
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+----------------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+----------------------------------------------------+
| 1 | SIMPLE | employees | index_merge | inx_hi_dt,idx_br_dt | idx_br_dt,inx_hi_dt | 3,3 | NULL | 2 | Using sort_union(idx_br_dt,inx_hi_dt); Using where |
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+----------------------------------------------------+
1 row in set (0.00 sec)
mysql> desc select  birth_date  from  employees where birth_date < '1950-07-09' or  hire_date = '1986-06-29';
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+----------------------------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+----------------------------------------------------+
| 1 | SIMPLE | employees | index_merge | inx_hi_dt,idx_br_dt | idx_br_dt,inx_hi_dt | 3,3 | NULL | 111 | Using sort_union(idx_br_dt,inx_hi_dt); Using where |
+----+-------------+-----------+-------------+---------------------+---------------------+---------+------+------+----------------------------------------------------+
1 row in set (0.00 sec)

MySQL Index Merge Optimization的更多相关文章

  1. 8.2.1.4 Index Merge Optimization 索引合并优化:

    8.2.1.4 Index Merge Optimization 索引合并优化: 索引合并方法是用于检索记录 使用多个 范围扫描和合并它们的结果集到一起 mysql> show index fr ...

  2. MySQL index merge

    深入理解 index merge 是使用索引进行优化的重要基础之一. [ index merge]       当where谓词中存在多个条件(或者join)涉及到多个字段,它们之间进行 AND 或者 ...

  3. index merge的一次优化

    手机微博4040端口SQL优化 现象 某端口常态化延迟,通过使用pt-query-digest发现主要由于一条count(*)语句引发,具体如下: # .5s .58M rss, .84M vsz # ...

  4. MySQL 派生表(Derived Table) Merge Optimization

    本文将通过演示告诉你:MySQL中派生表(Derived Table)是什么?以及MySQL对它的优化. Background 有如下一张表: mysql> desc city; +------ ...

  5. MySQL 优化之 index merge(索引合并)

    深入理解 index merge 是使用索引进行优化的重要基础之一.理解了 index merge 技术,我们才知道应该如何在表上建立索引. 1. 为什么会有index merge 我们的 where ...

  6. MySQL 查询优化之 Index Merge

    MySQL 查询优化之 Index Merge Index Merge Intersection 访问算法 Index Merge Union 访问算法 Index Merge Sort-Union ...

  7. MySQL中Index Merge简介

    索引合并优化 官网翻译 MySQL5.7文档 索引合并是为了减少几个范围(type中的range类型:range can be used when a key column is compared t ...

  8. MySQL Index详解

    FROM:http://blog.csdn.net/tianmo2010/article/details/7930482 ①MySQL Index 一.SHOW INDEX会返回以下字段 1.Tabl ...

  9. Mysql Index、B Tree、B+ Tree、SQL Optimization

    catalog . 引言 . Mysql索引 . Mysql B/B+ Tree . Mysql SQL Optimization . MySQL Query Execution Process 1. ...

随机推荐

  1. Adb+.net 实现微信跳一跳自动化

    第一次用adb,一开始只是想试试看能不能解析出,没有看网上的现有解析方式. 需要安卓机开启usb 调试+电脑运行.打开跳一跳的界面 点击程序 [开始]按钮即可开始,别的按钮都是调试用的 主要流程是用a ...

  2. python_第2课

    前言 回顾一下python+selenium基础,并整理相关知识点,分享给有需要,在前进道路上的朋友. 由于不是在python中敲的代码,有可能有缩进等相关错误,请自行检查 数据类型 #python中 ...

  3. @EnableAsync annotation metadata was not injected

    [问题描述] @EnableAsync annotation metadata was not injected spring配置初始化时候报错 nested exception is java.la ...

  4. Hyperledger Fabric 1.0 从零开始(十二)——fabric-sdk-java应用

    Hyperledger Fabric 1.0 从零开始(十)--智能合约 Hyperledger Fabric 1.0 从零开始(十一)--CouchDB 上述两章,最近网上各路大神文章云集,方案多多 ...

  5. C# 读取系统日志

    .NET框架类库提供了EventLog类和EventLogEntry类与系统日志进行交互二者属于System.Diagnostics命名空间 EventLog 类的属性主要有 Entris返回一个Ev ...

  6. adb 获取Android手机信息命令(1)

    @set version=1.7.2Normal @echo ============================================================= @echo I ...

  7. 小程序之ScrollView细节坑

    Scroll-View 相信大家在使用scroll-view的时候遇到不少问题,网上也有些答案,但是类似我这个问题,貌似没搜索到答案~~ 今天媳妇问我,为什么bindscrolltolower突然不生 ...

  8. C语言中不同变量的访问方式

    C语言中的变量大致可以分为全局变量,局部变量,堆变量和静态局部变量,这些不同的变量存储在不同的位置,有不同的生命周期.一般程序将内存分为数据段.代码段.栈段.堆段,这几类变量存储在不同的段中,造成了它 ...

  9. jqueryui sortable拖拽后保存位置

    jqueryUI sortable 可以用来进行页面拖拽布局,然而有一个小问题就是拖拽后如何保存状态. 工作中遇到了这个情况,遍把这个问题记了下来,具体思路是: 利用拖拽stop后利用   var a ...

  10. ThinkPHP3.2中英文切换!

    小伙伴们好久不见!!!   最近公司项目版本升级,小梦已经忙成了狗,无暇顾及文章,今天抽时间写一篇助助兴!   用Thinkphp这个国产框架已经2年多了,现在有一个小功能:网站中英文切换功能,当然这 ...