SQL Indexes(索引)

目录

Indexes

[Using Clustered Indexes](#Using Clustered Indexes)

[Using Nonclustered Indexes](#Using Nonclustered Indexes)

[Declaring Indexes](#Declaring Indexes)

[Using Indexes](#Using Indexes)

[Finding Rows Without Indexes](#Finding Rows Without Indexes)

[Finding Rows in a Heap with a Nonclustered Index](#Finding Rows in a Heap with a Nonclustered Index)

[Finding Rows in a Clustered Index](#Finding Rows in a Clustered Index)

[Finding Rows in a Clustered Index with a Nonclustered Index](#Finding Rows in a Clustered Index with a Nonclustered Index)

总结:

[Database Tuning](#Database Tuning)


Indexes

  • Index= data structure used to speed access to tuples of a relation, given values of one or more attributes.(用于给定一个或者多个属性后加速对于关系的访问)
  • Could be a hash table, but in a DBMS it is always a balanced search tree with giant nodes (a full disk page) called a *B+*tree.

Using Clustered Indexes

  • Each Table Can Have Only One Clustered Index(每张表只能有一个聚焦索引)
  • The Physical Row Order of the Table and the Order of Rows in the Index Are the Same(物理储存顺序与聚焦索引的顺序一样)
  • Key Value Uniqueness Is Maintained Explicitly or Implicitly(键值的维护是显式或者隐式的)

Using Nonclustered Indexes

  • Nonclustered Indexes Are the SQL Server Default(非聚焦索引是SQL_Server的默认索引类型)
  • Existing Nonclustered Indexes Are Automatically Rebuilt When:
  1. An existing clustered index is dropped
  2. A clustered index is created
  3. The DROP_EXISTING option is used to change which columns define the clustered index

以上情况会导致非聚焦索引会重建:

  1. 已存在的聚焦索引被删除(会导致非聚焦索引储存的数据指针失效,所以需要重建)
  2. 新的聚焦索引被创建
  3. 修改了聚焦索引的列(可能会导致物理储存顺序重新排列)

总结来说的话就是,影响了物理储存顺序就可能会导致非聚焦索引的顺序失效

Declaring Indexes

No standard!
Typical syntax:

复制代码
CREATE INDEX BeerInd ON
Beers(manf);
CREATE INDEX SellInd ON
Sells(bar, beer);

Using Indexes

  • Given a value v, the index takes us to only those tuples that have vin the attribute(s) of the index.(通过给定的值v,能够快速找到包含v属性的元组)

  • Example: use BeerInd and SellInd to find the prices of beers manufactured by Pete's and sold by Joe.

    SELECT price FROM Beers, Sells
    WHERE manf = 'Pete''s' AND
    Beers.name = Sells.beer AND
    bar = 'Joe''s Bar';

  • Use BeerInd to get all the beers made by Pete's.

  • Then use SellInd to get prices of those beers, with bar = 'Joe''s Bar'

Finding Rows Without Indexes

Finding Rows in a Heap with a Nonclustered Index

Finding Rows in a Clustered Index

Finding Rows in a Clustered Index with a Nonclustered Index

总结:

  • 非聚集索引的叶子结点存放的是聚集索引的关键字,聚集索引叶子结点存放的是数据本身
  • 所以使用非聚焦索引查询数据时,应该是先找到非聚焦索引的叶子结点上的聚焦索引的关键字,然后通过这个关键字,从聚焦索引找到存放了数据的叶子结点

Database Tuning

  • A major problem in making a database run fast is deciding which indexes to create.(一个主要的问题就是,要决定那些索引是需要被创建的)
  • Pro: An index speeds up queries that can use it.(优点:能够提升查询的速度)
  • Con: An index slows down all modifications on its relation because the index must be modified too.(缺点:是的关系上的修改效率降低,因为修改的同时索引也需要修改)
相关推荐
wyiyiyi20 分钟前
【Web后端】Django、flask及其场景——以构建系统原型为例
前端·数据库·后端·python·django·flask
天宇_任1 小时前
Mysql数据库迁移到GaussDB注意事项
数据库·mysql·gaussdb
武昌库里写JAVA3 小时前
JAVA面试汇总(四)JVM(一)
java·vue.js·spring boot·sql·学习
xiep14383335104 小时前
Ubuntu 安装带证书的 etcd 集群
数据库·etcd
Java小白程序员4 小时前
Spring Framework:Java 开发的基石与 Spring 生态的起点
java·数据库·spring
老虎06275 小时前
数据库基础—SQL语句总结及在开发时
数据库·sql·oracle
爱掘金的土拨鼠7 小时前
国产化dm数据库锁表解锁
数据库
庖丁解java7 小时前
N个Utils
数据库
Mr. zhihao7 小时前
SQL LEFT JOIN 与 WHERE 条件的隐藏坑
数据库·sql
2301_793086877 小时前
Redis 04 Reactor
数据库·redis·缓存