Analysis :: Two Sets Specified In UNION Function Have Different Dimensional
May 14, 2015
I am using following Query to get data from Cube for some dates and Quarters at single time, but I am getting an error "Two sets Specified in the UNION function have different dimensional".
WITH
MEMBER [Measures].[Data Value1]
AS [Measures].[Average Value]
SELECT
{UNION(
([DimPeriodType].[Period Type Key].&[1],[DimDate].[Date Key].&[20150428],[DimEnergyCalculated Ratio].[Calc Ratio Key].&[1],[Measures].[Data
Select {measures.[Dollars]} on 0, non empty [Divisions].[Division].[All].Children * [Cost Centres].[Cost Centre].[All].Children [Locations].[Locations].[All].Children on 1 From MyCube
which produced the following table:
Division Cost Centre Location Dollars AA 1 X $30.00
[code]....
What I am hoping to do is create a set out of the Union of specific values in the [Cost Centres].[Cost Centre] and [Locations].[Locations] hierarchies into a single set and use that new set in my MDX query across the columns.
Using the table and query from above, I have the following conditions that would determine the value in the set (lets call the new set 'NewSet')
When Cost Centre = 1 and Location = X Then "CustomType1" When Cost Centre = 1 and Location = Y Then "CustomType2" When Cost Centre = 1 and Location = Z Then "CustomType3" When Cost Centre = 2 and Location = Y Then "CustomType4" When Cost Centre = 2 and Location = Z Then "CustomType5"Else "Default"
Then, if I was to execute the new query:
with
set NewSet as "Some Unknown Magic Here"
Select {measures.[Dollars]} on 0, non empty [Divisions].[Division].[All].Children * {NewSet} on 1 From MyCube
I would end up with
Division NewSet Dollars AA CustomType1 $166.64 AA CustomType3 $64.24 BB
Is it possible to install 2 SSAS instance (one default and one named) and have them access a single sql server instance (default) all on the same server?
Code: SELECT DISTINCT LEFT([REPORTING_MONTH], 4)+'-'+SUBSTRING([REPORTING_MONTH],5,6) as REPORTING_MONTH, t.EMPLOYEE, '' as COUNT_FTP, CASE WHEN [MEDIUM_RCVD] = 'EMAIL' THEN COUNT(MEDIUM_RCVD) ELSE '' END AS COUNT_EMAIL FROM [GPO].[dbo].[DW_SUBMISSION] as s JOIN #TEMPActivity as t
[Code] ....
I'm trying to get the set to come out all on one line. REPORTING_MONTH, EMPLOYEE, COUNT_FTP, COUNT_EMAIL
But when I try null or '' it creates a second record and doesn't merge the two results.
I am new to SQL Server Integration Services. I need to help here.
If there is only one result set, I could get rank info by putting DENSE_RANK expression inside of my select. My case is that I have two data source. After union of them, I need rank the result set and save result set plus rank info into the destination. I tried to use Derived Column component by using expression DENSE_RANK() over ( order by columnName ). But it does not like it.
I have some Named Sets that I want to translate. I have done exactly the same way as with the Calculated Members but the Sets don´t use the translations? Any ide why?
What I need to be able to do is somehow select based on a day, the total value of open orders. I have tried to do this in the database but it becomes fixed and quite cumbersome (this is a simplified example in reality i have line information and line component information).I am not hugely skilled with MDX and SSAS but know there are some semi-additive functions i want somebody to be able to pick a day and have the total value of only open orders.
Is it possible to add, remove or modify a named set in an already deployed cube? I don't want to modify anything except the sets. If it is possible at all, are there any example of doing it?Second is technical. I have redefined set "myRowsSet" to "myRowsSet2". What I did is I removed the calculated members and placed their code directly inside the set. Why isn't it working?
with -- road bikes in france member [Product].[Product Line].myMemberRoad as aggregate( existing( intersect( [Product].[Product Line].[Product Line].members ,[Product].[Product Line].&[R] -- road
Periodically throughout the day a report is manually pulled from a SQL Server database. Is their a way w/o me adding a field to the database to have the result set return the "new" results? For example, lets say this is our DDL
Create Table OneTwoThree ( id int ,date11 datetime ,firefly varchar(10) )
Prior I could use this syntax, but that was only with needing to generate 1 result set.
Select id, convert(varchar(10), date11, 101) As [Date], firefly from onetwothree where CONVERT(varchar(10), date11, 101) < CONVERT(varchar(10), GetDate(), 101)
Looking at my datetime values, let's say the 1st was generated at 18:45, obviously the 1st two records in the table would be returned. And let's say a 2nd time I need to generate I want to exclude the 1st two entries as they have already been verified. How can I do such w/o adding a field to the table?
How can I UNION two MDX query results which are deriving from 2 cubes?MDX queries will return same ROW information and only Measure names will be different.
I am looking a way to use a tail funcion to achieve something like this
If you see the picture i want obtain in one row the total amount of the month over a selected range. If I select months between 1 and 12, i want the values only for the month 12, if a select months between 1 and 10 I want only de value for October and so on.
I tried this simple mdx query:
Select Tail([Id Fecha Orden Pago].[Mes].allmembers,1) on Rows , {[Measures].[Total Gastos Orden Pago]} on Columns From [CUB_DGM_TestEnamiDW] WHERE [DIM Programa Fomento].[Nombre Programa Fomento].&[RECONOCIMIENTO DE RESERVAS]
I am here with a doubt in MDX. I want to calculate the Binomial Distribution for one of the Measure in my cube. The requirement is to create a new calculated measure in the cube which calculates the binomial distribution for an inbuilt measure.I am using SSAS 2012 Standard Edition.
WITH MEMBER [Measures].[Parm1] AS [Member].[Member Deceased Year].currentmember.member_caption MEMBER [Measures].[ResultValue] AS ([Month].[Calendar].[Month].&[20150531], [Measures].[Member Count]) SELECT ({[Measures].[Parm1],[Measures].[ResultValue]}) ON COLUMNS, ORDER([Member].[Member Deceased Year].[Member Deceased Year], [Measures].[Parm1], DESC) ON ROWS FROM [TXERSDW]
Now from the Above query I am resulting with NULL as Parm1 values, I need to replace with a value of 12-31-9999 in the Parm1 if there are NULLS.
The result is accurate but the query execution time is 3-4 minutes for 10 fact records, when i use multiple dimension. it is showing me 0 valus for this measure for all the members for the dimesion attribute which doen't have any customer order. example it shows all the member of date dimension. is there any way to reduce the rows. i think this is the reason to take more execution time.when i use EXCCLUDEEMPTY the result is NULL
I’m trying to build a calculated member (see below script) using “Except” function but I get an error result:
#Error The function expects a string or numeric expression for the argument. A tuple set expression was used.
My idea is to take a measure and exclude 2 members from the dimension.
I tried using “Aggregate” but got the error:
#Error Query (3, 1) Aggregate functions cannot be used on calculated members in the Measures dimension.
Please note that my measure is ACD that is already calculated average in olap and I can’t use AVG function instead of Aggregate. What can I do?
With
member [Measures].[AppOrig All Roaming] as ( Except( [Source IP Location].[Country Name].[All].children,{ [Source IP Location].[Country Name].&[Colombia]
OK looking for anyone out there that may have already tackled this and what they may have learned I have multiple flat files providing dimensional data to multiple tables. The source files and destination tables are very similiar in structure, the columns are named differently in each table
ID - surrogate key Code - match for lookup Desc - updated column
flow options I have considered or might work are: source (flat file) - this is easy to make dynamic
lookup against existing Table -
1. I can make this dynamic on the advanced tab by restricting memory. have not really tried this option yet. Seems like it might be a performance issue for large tables but so far it seems all these dimensional tables will be small. 2. Could create a view in the control flow,before execution of the DataFlow with generic column names against a variable table and use this same view for every lookup - again not sure of performance etc 3. could just replace this with a merge/join as long as it does full outer, have not used this option so I'm not quite clear on the dynamic properties
now the last part update or insert Insert
1. Seems like I could use the OLEDB destination and make the table a variable - have not tried to see if this works.
Update-
1. looking at the OLEDB command but not sure how it would handle a variable table name in an update statement - will need to try this out 2. OLEDB command that calls a proc that executes a dynamically built update statement 3. Write the update items to a generic holding table then run an update in the control flow from a dymanically built sql statement.
Can somebody on the SSRS product team double check me that I've written that up right? That seems like a pretty important change and I can't see it mentioned in BOL anywhere.
I'm working with the statistical functions Stdev and Median with calculated members. The only way I can get the "correct" answer is if I have a dimension at the same granularity as the Fact table (Actually it's a degenerate dimension of the FACT table itself). Otherwise it seems that the measure I'm using with Stdev returns results that are so wildly high, I think it must be acting on the SUM of the measure; because the measure itself is a Summed one. When I try to use the coordinates in the Stdev function, it seems like it is using the wrong set of data points :
stdev( ( [Date].[Date].[Date].members, [Parameter].[Parameter].[Parameter].members ), [Measures].[Value]) returns answers in the thousands when it should be more like 2.5
When used with a query, there would only be a single date member and a specific parameter member. The total number of fact records is between 200 and 500 with values that range between 0 and 150. This is the version that gives me answers that resemble the total sum of the [Measures].[Value].
If I add the dimension that is essentially a row number from the fact table, it gives the right answer (slowly, but that will be a different post ....
I am having trouble limiting a sum function to only evaluate the data in the slicer. I need a sum of data calculated per employee and when there is a slicer of one employee my measure still evaluates all employee. For example:
WITH MEMBER [Measures].[TotalEmpHours] AS SUM([Employee].[Employee].members, [Measures].[Actual Ovt Hours]) select { [Measures].[TotalEmpHours],
[Code] ....
The above reports the overtime for one employee in [Measures].[Actual Ovt Hours], I expected [Measures].
[TotalEmpHours] to be the same as there is only one employee in the slicer select. The real measure is the minimum of two values for each employee.
This is a simplified example but I think it should work.Is there another construct to iterate the employee set? I have no control over the query as it is from a pivot grid. If the filter (employee) is leftmost in the row area, then it works because the employee ends up in the row part of the query.
I am trying to get the last 60 days before a month starts. I have a set that is returned from the query below :
SELECT non empty [Measures].[TRANSACTIONS Count] on 0, non empty ([TRANSACTIONS].[Days].[Days], [TRANSACTIONS].[Transaction Month].[Transaction Month]) on 1 from [cube]
I can get the cummulative count of last 60 days before month 2 by hardcoding the day of transaction of start of month like below :
WITH MEMBER [Measures].[Cumm Account Count] AS ( AGGREGATE( [TRANSACTIONS].[Days].CurrentMember:NULL ,[Measures].[TRANSACTIONS Count]) )
SELECT non empty [Measures].[Cumm Account Count] on 0, non empty [TRANSACTIONS].[Days].&[3]:[TRANSACTIONS].[Days].&[3].lead(60) on 1 from [cube];
and for subsequent months by using the dates that the following month starts. How can I achieve the above result without having to use the day numbers, I tried to use the tail function (to get the months and star date) but it wont work because the range function accepts members only...
I am new one in MDX. Our PeriodsToDate function does not return any value. We have set type property of our Date Dimension as time.Actually CURRENT MEMBER does not return a valid value. So our PeriodsToDate function fail.
With MEMBER [Measures].[YTD Actual] AS Aggregate ( PeriodsToDate ( [DimDate].[CalendarHierarchyDateLevel].[Calendar Year] ,[DimDate].[CalendarHierarchyDateLevel].CURRENTMEMBER )
Question: Is it feasible to use a star schema dimensional model for an OLTP system that incurs few (750 per day)Sales Orders transactions?
Background: My customer wants to replace an existing OLTP system database because it runs on Oracle and their in-house expertise is in SQL Server. The original database developers that designed the Oracle DB have apparently retired. The Oracle database has been over-normalized, to say the least. The number of sales orders being entered daily is small: about 500-750 per day. These entries are done at the five clerks' convenience, from a paper form, and are very unlikely to ever be entered in quick succession. Nothing else gets regularly entered into this database except for the occasional change to a customer, but new customers are very few and far between.
I've designed a star schema for the replacement database with the Sales Order Header and Sales Order detail table combined into a single 'fact' table, and I've introduced some duplication into dimension tables (like customer) in order to eliminate some of the joins (and confusion) that were built into the original database.
I've never tried this before. Is there any reason this would not or should not work?
Probably not the right forum - pointers would be appreciated - but I'll give it a try anyway:
I'm in the process of designing a relational database to be used in a BI scenario - ie. dimension and fact tables. The data will eventually be used to feed cubes in Analysis services, however end users will probably be allowed to run reports aginst views of the relational database.
I'm currently looking at the employee dimensions and my first try would designate AGE as a SCD Type 2 attribute. As a result every employee gets at least one new record every year as AGE increases. Given that BIRTHDATE is specified should I drop AGE from the tables and recreate it as a computed attribute in database views and/or cubes?
When ever I create a new Powerpivot from an AS cube, PowerPivot shows the data only in flattened PowerPivot format. How can I get back to traditional hierarchy dimensional view in Pivot table.
I have a query which does 3 selects and Union ALLs each to get a final result set. The performance is unacceptable - takes around a minute to run. If I remove the Union All so that the result sets are returned individually it returns all 3 from the query in around 6 seconds (acceptable performance).
Any way to join the result sets together without using Union All.
Each result set has exactly the same structure returned...
Query below [for reference]...
WITH cte AS ( SELECT A.[PoleID], ISNULL(B.[IsSpanClear], 0) AS [IsSpanClear], B.[SurveyDate], ROW_NUMBER() OVER (PARTITION BY A.[PoleID] ORDER BY B.[SurveyDate] DESC) rownum FROM[UT_Pole] A LEFT OUTER JOIN [UT_Surveyed_Pole] B ON A.[PoleID] = B.[PoleID]
set buyerset as exists(dimcustomer.leval02.allmembers,custoertypeisRetailers,"Sales") set saleset(buyerset) set custdimensionfilter as {custdimensionmemb1,custdimensionmemb2,custdimensionmemb3,custdimensionmemb4} set finalset as exists(salest,custdimensionfilter,"Sales") Set ProdIP as dimproduct.dimproduct.prod1 set Othersset as (cyears,ProdIP) (exists(([FINALSET],Othersset,dimension2.dimension2.item3),[DimCustomerBuyer].[ParentPostalCode].currentmember, "factsales")).count
I am just wondering about the Discretization function available on analysis service server (which can not actually discretize data into user-defined expressions) . Isnt it redundant ? I mean since users can discretize their data more meaningfully based on their own expressions in database engine of SQL Server 2005.
I am relatively new to SQL-Server. I was working in a company that used SS2005. Now I am with a company and client where SS2K is my only option. I know SS2005 had Analysis Services which allowed building hypercubes but I never got the chance to learn about it or use it. I am not that familiar with what SS2K has.
I have no access to any OLAP tools. I have MS-Access and MS-Excel. My SQL-Server database has to crunch a table with thousands of rows.
Having worked with MS-Access and MS-Excel for a long time, I know how powerful creating a pivot table is. I heard that SQL2005 had a T-SQL PIVOT function but never had the opportunity to use it.
Know I have the need to do this in SQL2000.
I have a lot of data so the method shown in BOL for cross-tab won't help me. The client changes the "column" and "header" categories on a regular basis, so I need something that will allow me to NOT hard code them but choose them dynamically like one would do in a hypercube.
I have more than 5 categories for "row headers". I have currency for the data to aggregate. I have "pay periods" (26 of them) for my "column" headers, but not all 26 will be present until Dec 31, so that part has to be dynamic.
Question: Is there any feature in the standard S2K that allows one to create anything like a pivot table without massive coding (T-SQL function or technique or something like a hypercube ability)?
Can you point me to something on the web that would explain how to get started?
hi i am getting an error with my code, it says 'value of type byte canot be converted to 1 dimensional array of byte' do you know why and how i can correct this error, the follwoing is my code. can anyone help me correct the error and let me know ow to solve it thanks for any help givenPublic Sub ProcessRequest(ByVal context As HttpContext) Implements IHttpHandler.ProcessRequestDim myConnection As New Data.SqlClient.SqlConnection("ConnectionString") myConnection.Open() Dim sql As String = "Select Image_Content from ImageGallery where Img_Id=@ImageId"Dim cmd As New Data.SqlClient.SqlCommand(sql, myConnection)cmd.Parameters.Add("@imgID", Data.SqlDbType.Int).Value = context.Request.QueryString("id") cmd.Prepare()Dim dr As Data.SqlClient.SqlDataReader = cmd.ExecuteReader() dr.Read() context.Response.ContentType = dr("imgType").ToString()context.Response.BinaryWrite(CByte(dr("imgData"))) ----- this is the line with the error End Sub
I have a Union All transformation with 4 inputs and one output when I debug the package the sum of the different inputs rows does not match the row count in output.
I don't understand, I've used the Union All transform many times and I've never seen this.
