Table of Contents
前言:
准备工作:
步骤:
分析:
Home Database Mysql Tutorial 第十二章SQLServer统计信息(4)在过滤索引上的统计信息

第十二章SQLServer统计信息(4)在过滤索引上的统计信息

Jun 07, 2016 pm 03:19 PM
2 sqlserver information Preface index statistics filter

前言: 从 2008 开始,引入了一个增强非聚集 索引 的新功能—— 过滤 索引 ( filter index ),可以使用带有 where 条件的语句来创建非聚集 索引 , 过滤 掉不需要的数据,降低 索引 的维护开销和存储空间,提高查询性能。 准备工作: 在 AdventureWorks201

前言:

        从2008开始,引入了一个增强非聚集索引的新功能——过滤索引filter index),可以使用带有where条件的语句来创建非聚集索引过滤掉不需要的数据,降低索引的维护开销和存储空间,提高查询性能。

 

准备工作:

AdventureWorks2012上,有一个Production.WorkOrder表,将使用这个表来做演示。

 

步骤:

1、  创建一个非聚集索引Production.WorkOrder列:

CREATE INDEX idx_WorkOrder_ScrapReasonID ON Production.WorkOrder(ScrapReasonID)

GO
Copy after login


 

2、  创建一个非聚集索引会自动更新对应的统计对象:

DBCC SHOW_STATISTICS('Production.WorkOrder',IX_WorkOrder_ScrapReasonID)

GO
Copy after login


 

 

3、  结果如下:

 

第十二章SQLServer统计信息(4)在过滤索引上的统计信息

4、  查看All denisty列,现在删掉之前的索引,并创建一个过滤索引

DROP INDEX IX_WorkOrder_ScrapReasonID ON Production.WorkOrderGO CREATE INDEX IX_WorkOrder_ScrapReasonID ON Production.WorkOrder(ScrapReasonID)WHERE ScrapReasonID IS NOT NULL GO
Copy after login


 

 

5、  再次执行并查看All density列,最后删除这个索引

 

 DBCC SHOW_STATISTICS('Production.WorkOrder',IX_WorkOrder_ScrapReasonID)

GO

 

DROP INDEX IX_WorkOrder_ScrapReasonID ON Production.WorkOrder

GO
 
Copy after login


 

 

6、  结果如下:

 第十二章SQLServer统计信息(4)在过滤索引上的统计信息

分析:

        从上面的两个图中对比结果可以知道,第一个结果集,在row sampled列是不同的,第一个是72591,第二个是729,相差了接近100倍,在Filter Expression列,一个是null一个是有值。

        在All density列,第一个显示的是ScriptReasonID列,这个没有什么明显的差别。但是第二个就有比较大的差异。因为ScriptReasonID是指向聚集索引的非聚集索引列。

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