SqlServer性能优化索引(五)
导入表结构:
select * into ProductCategory from AdventureWorksDW2014.dbo.DimProductCategory
select * into Product from AdventureWorksDW2014.dbo.DimProduct
开启磁盘io:
set statistics io on
select EnglishProductName,StandardCost,Color,Size,Weight from Product
where size>'M'--0.189 io:251
set statistics io off

非聚簇索引:
创建的语句:
create nonclustered index nc_product_size on product(size)
再次执行上面的查询代码(提高了三倍):
set statistics io on
select EnglishProductName,StandardCost,Color,Size,Weight from Product
where size>'M' --0.054 io:19
set statistics io off

建立覆盖索引:
create nonclustered index nc_product_size1 on product(size) include(EnglishProductName,
StandardCost,Color,Weight)
再次执行上述语句:
set statistics io on
select EnglishProductName,StandardCost,Color,Size,Weight from Product
where size>'M' --0.003 io:2
set statistics io off
数据库会自动选择索引:


没有创建索引的情况:
set statistics io on
select c.EnglishProductCategoryName,p.EnglishProductName,p.Color,p.Size
from product as p inner join ProductCategory as c on p.ProductSubcategoryKey=c.ProductCategoryKey
where c.ProductCategoryKey=1 --0.1928
set statistics io off
创建索引:
create nonclustered index nc_productcategory_key on ProductCategory(ProductcategoryKey) include
(EnglishProductCategoryName)
在次查询:
set statistics io on
select c.EnglishProductCategoryName,p.EnglishProductName,p.Color,p.Size
from product as p inner join ProductCategory as c on p.ProductSubcategoryKey=c.ProductCategoryKey
where c.ProductCategoryKey=1 --0.1928 io:c 2 p 251
set statistics io off
IO情况:
由此可见 Product表影响比较严重 251
建立一个非聚簇索引:(做一个物理排序)
create nonclustered index nc_product_categorykey on product(productsubcategorykey) include
(englishproductname,color,size)
执行语句:
set statistics io on
select c.EnglishProductCategoryName,p.EnglishProductName,p.Color,p.Size
from product as p inner join ProductCategory as c on p.ProductSubcategoryKey=c.ProductCategoryKey
where c.ProductCategoryKey=1 --4.29 od 1497 oh 783 c 155
set statistics io off

导入三张表:
select * into Customer from AdventureWorks2014.Sales.Customer
select * into OrderHeader from AdventureWorks2014.Sales.SalesOrderHeader
select * into OrderDetail from AdventureWorks2014.Sales.SalesOrderDetail
实现一些业务:
set statistics io on
select c.CustomerID,SUM(od.LineTotal) from OrderDetail as od inner join
orderheader as oh on od.SalesOrderID=oh.SalesOrderID inner join customer as c
on oh.CustomerID =c.CustomerID group by(c.CustomerID) --4.29
set statistics io off

优化的第一步:
1.查看sql语句写法是否有问题(进行改造)
set statistics io on
select oh.CustomerID,sum(od.LineTotal) from OrderDetail as od inner join
OrderHeader as oh on od.SalesOrderID=oh.SalesOrderID group by(oh.CustomerID) --3.77 od 1497 oh 783
set statistics io off

创建索引:
create nonclustered index nc_OrderDetail_SalesOrderID on OrderDetail(SalesOrderID) include
(linetotal)
创建另外一个索引:针对group by 的列
create nonclustered index nc_OrderHeader_CustomerID on OrderHeader(CustomerID)
在次执行上述语句:
set statistics io on
select oh.CustomerID,sum(od.LineTotal) from OrderDetail as od inner join
OrderHeader as oh on od.SalesOrderID=oh.SalesOrderID group by(oh.CustomerID) --3.10 od 533 oh 783
set statistics io off

采用索引视图的方式:
create view v_Order_Total
as
select oh.CustomerID,sum(od.LineTotal) as 总额 from OrderDetail as od inner join
OrderHeader as oh on od.SalesOrderID=oh.SalesOrderID group by(oh.CustomerID)
效果差不多:
set statistics io on
select * from v_Order_Total --3.10 od 533 oh 783
set statistics io off

修改:
alter view v_Order_Total
as
select oh.CustomerID as 客户ID, sum(od.LineTotal) as 总额 from OrderDetail as od inner join
OrderHeader as oh on od.SalesOrderID=oh.SalesOrderID group by(oh.CustomerID)
对唯一列做聚集索引:
create clustered index c_vordertotal_customerid on v_order_total(客户ID)
直接运行报错:

解决方案:
在次执行:
alter view v_Order_Total
with schemabinding
as
select oh.CustomerID as 客户ID, sum(od.LineTotal) as 总额 from OrderDetail as od inner join
OrderHeader as oh on od.SalesOrderID=oh.SalesOrderID group by(oh.CustomerID)
报错:

解决方法:
alter view v_Order_Total
with schemabinding
as
select oh.CustomerID as 客户ID, sum(od.LineTotal) as 总额 from dbo.OrderDetail as od inner join
dbo.OrderHeader as oh on od.SalesOrderID=oh.SalesOrderID group by(oh.CustomerID)
在次创建:
create clustered index c_vordertotal_customerid on v_order_total(客户ID)
报错:

办法:
create unique clustered index c_vordertotal_customerid on v_order_total(客户ID)
报错:

方法:
alter view v_Order_Total
with schemabinding
as
select oh.CustomerID as 客户ID, sum(od.LineTotal) as 总额,COUNT_BIG(*) as 计数 from dbo.OrderDetail as od inner join
dbo.OrderHeader as oh on od.SalesOrderID=oh.SalesOrderID group by(oh.CustomerID)
执行创建索引:
create unique clustered index c_vordertotal_customerid on v_order_total(客户ID)
成功
set statistics io on
select * from v_Order_Total --0.09 io:92
set statistics io off
执行计划:


会自动进行值的更新,不用关心
对语句的访问会用到刚才的架构:
set statistics io on
select oh.CustomerID,sum(od.LineTotal) from OrderDetail as od inner join
OrderHeader as oh on od.SalesOrderID=oh.SalesOrderID group by(oh.CustomerID) --0.09 io:92
set statistics io off
SqlServer性能优化索引(五)的更多相关文章
- 03.SQLServer性能优化之---存储优化系列
汇总篇:http://www.cnblogs.com/dunitian/p/4822808.html#tsql 概 述:http://www.cnblogs.com/dunitian/p/60413 ...
- PLSQL_性能优化索引Index介绍(概念)
2014-06-01 BaoXinjian
- 01.SQLServer性能优化之----强大的文件组----分盘存储
汇总篇:http://www.cnblogs.com/dunitian/p/4822808.html#tsql 文章内容皆自己的理解,如有不足之处欢迎指正~谢谢 前天有学弟问逆天:“逆天,有没有一种方 ...
- 02.SQLServer性能优化之---牛逼的OSQL----大数据导入
汇总篇:http://www.cnblogs.com/dunitian/p/4822808.html#tsql 上一篇:01.SQLServer性能优化之----强大的文件组----分盘存储 http ...
- SQLServer性能优化专题
SQLServer性能优化专题 01.SQLServer性能优化之----强大的文件组----分盘存储(水平分库) http://www.cnblogs.com/dunitian/p/5276431. ...
- SQLServer性能优化之---数据库级日记监控
上节回顾:https://www.cnblogs.com/dotnetcrazy/p/11029323.html 4.6.6.SQLServer监控 脚本示意:https://github.com/l ...
- JAVA性能优化的五种方式
一,JAVA性能优化之设计优化 设计优化处于性能优化手段的上层.它往往须要在软件开发之前进行.在软件开发之前,系统架构师应该就评估系统可能存在的各种潜在问题和技术难点,并给出合理的设计方案,因为软件设 ...
- SqlServer性能优化(一)
一:数据存储的方式: 1.数据文件:.mdf或.ndf 2.日志文件:.ldf 二:事务日志的工作步骤: 1.数据修改由应用程序发出(在缓冲区进行缓存) 2.数据页位于缓存区缓冲中,或者读入缓冲区缓存 ...
- SqlServer性能优化 查询和索引优化(十二)
查询优化的过程: 查询优化: 功能:分析语句后最终生成执行计划 分析:获取操作语句参数 索引选择 Join算法选择 创建测试的表: select * into EmployeeOp from Adve ...
随机推荐
- MVC MVP 和 MVVM的图示
一直对于这些什么MVC MVP 和 MVVM都是云里雾里的 完全分不清楚 感觉jq上也没怎么用过,理解也很片面,画几张图也许能够大体分清他们之间的区别. 1.MVC(Model-View-Contro ...
- First commit
今天是2016年11月14日.天气晴. 第一篇博客,准备在这里记录下我学到的技术,希望能够坚持下来.^.^
- Linux安装脚本需要交互之如何实现自动安装
Linux中shell脚本运行时经常需要进行交互,比如安装软件的过程中对license声明的确认,需要输入yes,回车之类的确认信息.这个在自动化安装的时候就会是个问题. 通常对于这个问题比较灵活的解 ...
- WebService的两种方式Soap和Rest比较
我的读后感:由于第一次接触WebService,对于很多概念不太理解,尤其是看到各个OpenAPI的不同提供方式时,更加疑惑.如google map api采用了AJAX方式,通过javascript ...
- 一个面试题的解答-----从500(Id不连续)道试题库里随机抽取20道题!
做一个考试系统的项目,现在从试题库里面随机抽取20道题 比如我题库有500道题(ID不连续).题目出现了,如何解决呢,随机抽取! 1,我们先把500道题的id存进一个长度为500的数组. 2,实现代码 ...
- sqlserver行列转换问题(网上搜集)
(列->行) 一.FOR XML PATH 简单介绍 那么还是首先来介绍一下FOR XML PATH ,假设现在有一张兴趣爱好表(hobby)用来存放兴趣爱好,表结构如 ...
- Yii2中request的使用
1.普通的get和pst请求 $request = Yii::$app->request; $get = $request->get(); // equivalent to: $get = ...
- ORCALE复制表结构
1.oracle 复制表结构 不要内容 create table 表1 as select * from 表2 where 1=2 2.oracle 复制表结构 要内容 create table 表1 ...
- ssh 整合
1. 加入 Spring 1). 加入 jar 包 2). 配置 web.xml 文件 3). 加入 Spring 的配置文件. 2. 加入 Hibernate 1). 同时建立持久化类, 和其对应的 ...
- SYN攻击
一.TCP握手协议 在TCP/IP协议中,TCP协议提供可靠的连接服务,采用三次握手建立一个连接. 第一次握手:建立连接时,客户端发送syn包(syn=j)到服务器,并进入SYN_SEND状态,等待服 ...