Use Python to Query SQL Server Analysis Services (SSAS) cube Data
来源： https://stackoverflow.com/questions/58316192/use-python-to-query-sql-server-analysis-services-ssas-cube-data
ssas
Processing cube -Error-A device attached to the system is not functioning
来源： https://stackoverflow.com/questions/62147670/processing-cube-error-a-device-attached-to-the-system-is-not-functioning
Processing cube -Error-A device attached to the system is not functioning
来源： https://stackoverflow.com/questions/62147670/processing-cube-error-a-device-attached-to-the-system-is-not-functioning
custom count measure runs forever MDX
问题 So this question goes off the one here I've been trying to do a similar count measure and I did the suggested solution but it's still running.... and it's been more than 30 minutes with no results, while without that it runs in under a minute. So am I missing something? Any guidance would help. Here is my query: WITH MEMBER [Measures].[IteractionCount] AS NONEMPTY ( FILTER ( ([DimInteraction].[InteractionId].[ALL].Children, [Measures].[Impression Count]), [DimInteraction].[Interaction State].
Unable to deploy metadata. reason : The syntax of 'Filter_Table' is incorrect
问题 I created the following calculated column. IsRenewal := VAR Filter_Table = SUMMARIZE ( FILTER ( SUMMARIZE ( SUMMARIZE ( FACT_ACCOUNT; FACT_ACCOUNT[ID_LOAN_INFORMATION]; FACT_ACCOUNT[ID_COSTUMER] ); FACT_ACCOUNT[ID_COSTUMER]; "abc"; COUNTROWS ( SUMMARIZE ( FACT_ACCOUNT; FACT_ACCOUNT[ID_LOAN_INFORMATION]; FACT_ACCOUNT[ID_COSTUMER] ) ) ); [abc] > 1 ); FACT_ACCOUNT[ID_COSTUMER] ) VAR Latest = FILTER ( Filter_Table; FACT_ACCOUNT[ID_COSTUMER] = EARLIER ( FACT_ACCOUNT[ID_COSTUMER] ) ) RETURN IF (
Force DAX SWITCH function to use strict (lazy) short-circuit evaluation
问题 Set up: Similar to this question on a MSDN forum, I have a measure that switches between various other measures (some of them much more complex than others). The measure looks like this (my actual measure has more cases): VariableMeasure = VAR ReturnType = SELECTEDVALUE ( ParamReturnType[ReturnType] ) SWITCH ( ReturnType, "NAV", [Nav], "Income", [Income], "ROI", [Roi], "BM", [Benchmark], BLANK () ) Context: The reason for the switching measure is to have the ability to choose which measures
Python - “KeyError : System.Object” - Pyadomd - Querying a SSAS Data Source [SOLVED]
问题 Working on a project where I am trying to query a SSAS data source we have at work through Python. The connection is presently within Excel files, but I am trying to reverse engineer the process with Python to automate part of the analysis I do on a day to day... I use the pyadomd library to connect to the data source, here`s my code: clr.AddReference(r"C:\Program Files (x86)\Microsoft Office\root\vfs\ProgramFilesX86\Microsoft.NET\ADOMD.NET\130\Microsoft.AnalysisServices.AdomdClient.dll") clr
Counting the number of facts in a cell in MDX
问题 Here is a simple schema with two dimensions and a fact with a measure. CREATE TABLE DimThingType ( ThingTypeID int NOT NULL PRIMARY KEY, ThingTypeDescription varchar(8) NOT NULL ) CREATE TABLE DimThing ( ThingID int NOT NULL PRIMARY KEY, ThingName varchar(8) NOT NULL ) CREATE FactFacts ( FactID int NOT NULL PRIMARY KEY, ThingID int NOT NULL, ThingTypeID int NOT NULL, Turnips int NOT NULL ) Now in MDX we can sum the number of turnips for each thing type . SELECT NON EMPTY { [Measures].[Trunips
Counting the number of facts in a cell in MDX
问题 Here is a simple schema with two dimensions and a fact with a measure. CREATE TABLE DimThingType ( ThingTypeID int NOT NULL PRIMARY KEY, ThingTypeDescription varchar(8) NOT NULL ) CREATE TABLE DimThing ( ThingID int NOT NULL PRIMARY KEY, ThingName varchar(8) NOT NULL ) CREATE FactFacts ( FactID int NOT NULL PRIMARY KEY, ThingID int NOT NULL, ThingTypeID int NOT NULL, Turnips int NOT NULL ) Now in MDX we can sum the number of turnips for each thing type . SELECT NON EMPTY { [Measures].[Trunips
SSAS系列——【03】多维数据（多维数据集对象）
原文: SSAS系列——【03】多维数据（多维数据集对象） 1、什么是Cube? 简单 Cube 对象由基本信息、维度和度量值组组成。 基本信息包括多维数据集的名称、多维数据集的默认度量值、数据源和存储模式等。维度是多维数据集中使用的实际维度组。所有维度都必须先在数据库的维度集合中定义，然后才能在多维数据集中引用。度量值组是多维数据集中的度量值集。度量值组是具有常见数据源视图和维度集的度量值的集合。度量值组是度量值的处理单元；可先对度量值组进行单独处理，然后再浏览。这个概念MSND解释的非常清楚，也不难理解，姑且Copy贴上来。 2、度量值和度量值组 度量值通常映射到事实数据表中的列。维度表中的属性列可以用于定义度量值，但是这些度量值通常在聚合行为方面具有半累加性或非累加性。 图 事实数据表中的度量值 简单 MeasureGroup 对象由基本信息、度量值、维度和分区组成。基本信息包括度量值组的 名称 、度量值的 类型 、 存储模式 和 处理模式 等。度量值是组成度量值组的实际度量值集。对于每个度量值，均有一个聚合函数定义、一个格式属性定义、一个数据项源定义等其他定义。维度是用于创建已处理度量值组的多维数据集维度的子集。分区是已处理度量值组的物理拆分的集合。在多维数据集中，度量值按照其基础事实数据表分组为多个度量值组。度量值组用于使维度和度量值相互关联