这两天设计的T2模型,涉及日期维度表中粒度的选择,因为一般实际销售达成ACT表是按天为标准记录的,而销售目标表TGT一般是按月记录,特此总结一下建模技巧。

数据仓库:

时间维度表,最小粒度为DATE。建立视图,表格模型中Times维度表:select * from vw_CB_DATE

CREATE view [dbo].[vw_CB_DATE]

AS

WITH mycte AS(
SELECT a.[DATE]
,CONVERT(nvarchar(8),a.[DATE],112) as DAY
,a.[MONTH_KEY],a.[QUARTER_KEY],a.[CURRENT_YEAR],a.[MONTH],a.[QUARTER]
,LEFT(CURRENT_YEAR, 4) + ' ' + QUARTER AS YEAR_QUARER
,LEFT(CURRENT_YEAR, 4) + '/' + LEFT(MONTH, 3) AS YEAR_MONTH
,left(a.YEAR_WEEK,4)+'W'+RIGHT(a.YEAR_WEEK,2) as YEAR_WEEK
,b.YEAR_WEEK_SEQ
FROM [dbo].[CB_DATE] a
INNER JOIN (
SELECT DISTINCT YEAR_WEEK,Row_number() over (order by YEAR_WEEK ASC) as YEAR_WEEK_SEQ FROM [dbo].[CB_DATE]
WHERE YEAR_WEEK<>'' group by YEAR_WEEK
) b ON a.YEAR_WEEK=b.YEAR_WEEK
) SELECT a.* FROM mycte a

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

事实表1:实际销售达成ACT表,源表字段即属性包括[YYYYMMDD](day)--与Times维度表关联,[YYYYMM](Month) [QTY_BASE_TARGET]--销售实际,用于度量值计算。

度量值组:ACT SO(QTY):=SUM([EO_QTY]),以日期(day)粒度聚合。

事实表2:销售目标表TGT,源表属性[YYYYMM](Month)--直接则无法与Times维度表关联,因为要求关联具有唯一性的键值。即度量值组粒度为月份。

解决方案:

创建视图,为销售目标表TGT添加YYYYMMDD字段,与Times维度表关联。

因为用户在使用时只会拉取到月份透视,所以只要每月份数据存在即可,即便拉取到DAY,只有每月1号存在TGT值组,不显示空行即可。这样就避免了再建立一个亿月份为最小粒度的TIME维度表。

SELECT CAST([YYYYMM] AS NVARCHAR(6))+'' AS YYYYMMDD
--...others
FROM [DM_ACCN_T1].[dbo].[FS_SELLOUT_SALES_TGT]

度量值组: TGT Company SO QTY:=sum([QTY_BASE_TARGET]),以日期(day)粒度聚合。

结果:<注:在表格中分析透视表时,一定要进行数据处理,处理操作可以从数据源获取更新的数据,这样在才有与sql查询比对的意义>

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

拉取DATE到行标签:

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

设置显示行中的空数据项:

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

sql查询验证:

  SELECT sum(REV_BASE_TARGET),sum(QTY_BASE_TARGET) FROM dbo.FS_SELLOUT_DEALER_TGT
where YYYYMM='' --956217978.0300 312772.9900 SELECT sum(REV_BASE_TARGET),sum(QTY_BASE_TARGET) FROM dbo.FS_SELLOUT_DEALER_TGT A
LEFT JOIN vw_CB_DATE B ON A.YYYYMM=B.MONTH_KEY
where B.DAY='' --956217978.0300 312772.9900 SELECT sum(REV_BASE_TARGET),sum(QTY_BASE_TARGET) FROM dbo.FS_SELLOUT_DEALER_TGT A
LEFT JOIN vw_CB_DATE B ON A.YYYYMM=B.MONTH_KEY
where B.DAY='' --956217978.0300 312772.9900

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

但是要是这样查询:

  SELECT sum(REV_BASE_TARGET),sum(QTY_BASE_TARGET) FROM dbo.vw_FS_SELLOUT_DEALER_TGT A
LEFT JOIN vw_CB_DATE B ON A.YYYYMMDD=B.DAY
where B.DAY='' --NULL NULL

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

参看MSDN关于:定义度量值组中的维度粒度

https://msdn.microsoft.com/zh-cn/library/ms166573%28v=sql.120%29.aspx

粒度

粒度将直接决定所构建仓库系统能够提供决策支持的细节级别。粒度越高表示仓库中的数据较粗,反之,较细。粒度是与具体指标相关的,具体表现在描述此指标的某些可分层次维的维值上。例如,时间维度,时间可以分成年、季、月、周、日等。

数据仓库模型中所存储的数据的粒度将对信息系统的多方面产生影响。事实表中以各种维度的什么层次作为最细粒度,将决定存储的数据能否满足信息分析的功能需求,而粒度的层次划分、以及聚合表中粒度的选择将直接影响查询的响应时间。

SSAS Tabular关系设计--时间最小粒度维度的更多相关文章

  1. SSAS Tabular 数据表关系与join的映射

    才想起来总结这两天发现的一个有趣的现象: 在SSAS Tabular 模型中建立了关系之后,在excel中分析发现: 产品库龄作为量值:Aging Stock:=sum([DISTRIBUTOR_ST ...

  2. SSAS Tabular表格模型实现动态权限管理

    最近忽然对SSAS产生了浓厚兴趣,我看博客园上也米有写关于SSAS 2016下表格模型实现动态权限管理的文章,最近鼓捣了一下微软的样例,鼓捣好了,把过程中遇到的一些问题写出来,抛砖引玉,也算给自己一个 ...

  3. SQL Server使用证书最小粒度授权

    最近在项目中某个功能遇到了阻塞造成的Time out错误.所以需要在执行该功能的时候开启一个线程检测SQL Server中阻塞会话.但是程序本身使用的sql帐号本身不具备VIEW Sever Stat ...

  4. SSAS Tabular 表格模型建模(关系)及部署

    一.表格建模(SSAS 表格)   表格模型是 Analysis Services 中的内存中数据库. 使用最先进的压缩算法和多线程查询处理器,xVelocity 内存中分析引擎 (VertiPaq) ...

  5. SSAS Tabular模式中关系设置不支持直接设置多对多?

    在网上文档发现一篇文章 微软BI 之SSAS 系列 - 多维数据集维度用法之一 引用维度 Referenced Dimension 有涉及到SSAS模型的关系设置 但是本人的基于表格模型的 没有关系可 ...

  6. 微软BI 之SSAS 系列 - 实现Cube 以及角色扮演维度,度量值格式化和计算成员的创建

    在熟悉完下面这三种维度的创建方式之后,就可以开始创建我们的第一个 Cube 了. SSAS 系列 - 自定义的日期维度设计 SSAS 系列 - 基于雪花模型的维度设计 SSAS系列 - 关于父子维度的 ...

  7. MyEclipse的实体关系设计

    原文地址:http://www.myeclipsecn.com/learningcenter/database-development/myeclipse-entity-relation-design ...

  8. SSAS多维设计模型与报表客户端-Excel透视表制作

    VS:SSAS设计多维设计模型: 数据源视图.dsv: 数据源视图表,名称命名规范:vw_表名(事实表_F_/维表_D_),

  9. C++ 2(将类分文件) //点和圆的关系 //设计一个圆形类 和一个点类 计算点和圆的关系 //点到圆心的距离 == 半径 点在圆上 //点到圆心的距离 > 半径 点在圆外 //点到圆心的距离 < 半径 点在圆内 //点到圆心的距离 获取 ....... (x1 -x2)^2 + (y1-y2)^2 开根号 和半径对比 // 计算 可以 两边同时 平方

    1 源文件 main.cpp 2 //点和圆的关系 3 //设计一个圆形类 和一个点类 计算点和圆的关系 4 //点到圆心的距离 == 半径 点在圆上 5 //点到圆心的距离 > 半径 点在圆外 ...

随机推荐

  1. 微信小程序把玩(二十五)loading组件

    原文:微信小程序把玩(二十五)loading组件 loading通常使用在请求网络数据时的一种方式,通过hidden属性设置显示与否 主要属性: wxml <!----> <butt ...

  2. 零元学Expression Blend 4 - Chapter 24 以实作了解Cover Flow功能

    原文:零元学Expression Blend 4 - Chapter 24 以实作了解Cover Flow功能 今天要介绍一个Silverlight Toolkit内好用且在图片展示操作上很常见的元件 ...

  3. WPF使用WindowChrome实现自定义标题框功能

    代码: <Window x:Class="WpfDemo.MainWindow" xmlns="http://schemas.microsoft.com/winfx ...

  4. C# winform 主界面打开并关闭登录界面

    在winform 界面编程中,我们有时候要在主界面打开之前先显示登录界面,当登录界面用户信息校验正确后才打开主界面,而这时登陆界面也完成使命该功成身退了. 目前有两种方法可实现: 方法1. 隐藏登录界 ...

  5. 推荐一些C#相关的网站、资源和书籍 (转载自http://blog.csdn.net/chinacsharper/article/details/17514923)

    一.网站 1.http://msdn.microsoft.com/zh-CN/ 微软的官方网站,C#程序员必去的地方.那里有API开发文档,还有各种代码.资源下载. 2.http://social.m ...

  6. oracle10g登录em后,提示“java.lang.Exception: Exception in sending Request :: null”

    出现错误时登录企业管理器时出现的界面 出现这种错误一般是因为没有设置时区,一般默认的是agentTZRegion=GMT,也就是GMT.所以大家只要设置了这个东西,然后重新启动dbconsole就可以 ...

  7. 细谈unity资源加载和卸载

    转载请标明出处:http://www.cnblogs.com/zblade/ 一.概要 在了解unity的资源管理方式之后,接下来细谈一下Unity的资源是如何从磁盘中加载到运行时的内存中,以及又是如 ...

  8. 开源|性能优化利器:数据库审核平台Themis的选型与实践

    作者:韩锋 出处:DBAplus社群分享:来源:宜信技术学院 Themis开源地址:https://github.com/CreditEaseDBA 一.面临的挑战 1.运维规模及种类 我相信,这也是 ...

  9. 安装metasploitable3的经验总结

    一个月没有写学习记录了,但是这一个月一直没闲着,抽空写写自己装metasploitable3的经验教训(提示:只要你的环境配置没错,步骤没错,多试几次就会成功了,我总共测试了15次,,短的耗时30分钟 ...

  10. 高并发 Nginx+Lua OpenResty系列(1)——环境搭建

    OpenResty是一款基于Nginx的高性能负载均衡服务器容器,简单来说是Nginx+Lua.结合了Lua语言来对Nginx进行扩展,使得在Nginx上具有web容器功能. OpenResty运行环 ...