Analysis :: YTD Calculation For Multiple Hierarchies With SCOPE Statement
Jul 2, 2015
I am stuck in a situation where I want to use YTD for three different calendars of our company and don't want to create three different YTD calculations. However I want to make this work for any measure not for a particular measure
If I create one YTD and try to use in context of three calendars in SCOPE statements then it does not give my right results. Following is my syntax but It does not work.
I have created calcalated measures in a SQL Server 2012 SSAS multi dimensional model by creating empty measures in the cube and use scope statements to fill the calculation.
(so I can use measure security on calculations
as explained here )
SCOPE [Measures].[C];
THIS = IIF([B]=0,0,[Measures].[A]/[Measures].[B]);
I have an existing MDX query returning the correct resultset. However, I want to add a filter so that for a combination of value in Hierarchy1 and Hierarchy2, the data is filtered out.
For example I have data like
H1 H2 Amount 1 1 100 2 1 50 3 1 45
I am getting a value of 100+50+45=195.
I want to filter the data for the combination H1=3 and H2=1. Expected result would be 100...
I have some confusion on crossjoin function within MDx.while I try to crossjoin the different level sets of same Hierarchy. It shows error as
For example. ‘The Customer Geography hierarchy is used more than once in the Crossjoin function.’ select { {[Customer].[Customer Geography].[Country].&[United States]}* {[Customer].[Customer Geography].[State-Province].members}} on 0 FROM [Adventure Works] WHERE Measures.[Internet Sales Amount]
Cannot we Cross joins across user defined hierarchies ,or they aren't supported .?Coz I really need to implement as above MDx within my real Cube.I try to implement by making as another Hierarchy Member but it doesn’t gives the value result as what we want/need.with
member [Customer].[Country].[United States ]as [Customer].[Customer Geography].[Country].&[United States] select { {[Customer].[Country].[United States ]}* {[Customer].[Customer Geography].[State-Province].members}} on 0 FROM [Adventure Works] WHERE Measures.[Internet Sales Amount]
I'm trying to do a currency conversion with an MDX statement in my Cube SSAS 2012.
Here is my script :
SCOPE( LEAVES([Entity]) ); SCOPE( LEAVES([Time]) ); SCOPE( LEAVES([Currency])); SCOPE( [Account].[Account].[Total ACCOUNT].members) THIS = ([Measures].[Value],[Currency].[Currency].[Local])*([Measures].[Value],[Account].[Account].[Fx Rate]); END SCOPE; END SCOPE; END SCOPE; END SCOPE;
The problem is I want to exclude frome the scope Currency my local Currency in order to make the conversion only if a currency (€,$, £) is selected. I tried the following syntax but it always return a "MDX script is not valid" :
In my fact table (month granularity), I've got a calculation defined:
Margin%=DIVIDE(SUM(Margin);SUM(SalesAmount))
How should I define a calculation based on "Margin%", so that if I browse the Pivot Table by months it would always show the year level result instead? My date dimension is also with Month granularity and it has a Year column in it.
I have a set of data and calculated already the average of a specific measure, incl. the Standarddeviation of this measure. Now I want to create a average measure of the values on row level which arehigher than [Avg]-[StdDev] AND lower of [Avg]+[StDev].As far as I understand I have to check on Rowlevel, which means on Date and Brand Level, if the value of the measure is above or lower than the Mean +/- StdDev.
which leads to a wrong result. This one counts all rows if true.With Descendants I got a #Value-Error, probably because I did not understand how the calculations work. I planned to include this in a IIF calculation.
Need to resolve this calculation, which I would believe is something very common on SSAS environments.
Like many companies, my company has different ways of calculating Sales and the two I want to focus are Sales Gross and Sales Net.
At a high level, we calculate Sales Gross as Sales with returns, and Sales Net as Sales without returns.
We have an attribute called Order Type that has various types of orders a user can execute with my company. One of them is Returns. If you return something back to us, we record that as a return line on the sales table. With that, we can calculate that return, breaking data down by Order Type, such as:
Order Type Line Total
Mail Orders $ 776,655.44
Internet Orders $ 2,211,334.00
Call Center Orders $ 11,223,344.00
Credit Orders $ (55,666.00)
Today, to calculate Sales Gross and Sales Net, we are creating two dimensions: DimSalesGross and DimSalesNet.
To calculate Sales Gross, we leave the data at the natural state, not making any changes to mappings.
To calculate Sales Net, we map Credit Orders to Call Center Orders at the ETL level, getting a Net value for sales (Orders - Returns), however, I doubt this is the correct way of doing.
I would like to have a Line Total Net / Line Total Gross calculation, which would be based on the Order Type value.
Perhaps using a CASE statement in MDX? Is the above possible?
I'm trying to calculate the average number of sick days per person so that it can be broken down by person role or department or some other dimension. I have a calculation for sick days that works ok and is [measures].[sick days.I'm trying to create another calculation that is [total staff] but it doesn't work.
My final calculation will be [avg sick days] = [measures].[sick days] / [measures].[total staff]
The bit I can't get to work is making it ignore any filters. For example I have a measure called [staff] and as you would expect it can be broken down by [person].[role] or [department].[department].
I'm trying to get [total staff] to return the total when it's used with [person] or [department]. I've managed to get it to work with [person] by using ROOT([Person]) but then I will need to do this for all different hierarchies that will use it.
1)Where do I do the dateDiff calculation, at report or cube level? 2)How do I work out which dates belong to the above groups? I'm assuming i have to check if the dateDiff lies between those numbers?
I have a calculation that granularity is on a specific level and therefore would like the calculation to be only visible/calculate when with a specific dimension structure & attributes
SCOPE([Measures].[Complaint Rate]); SCOPE([Item Dimension].[Item Structure].Members); this=(IIF([Measures].[Sales Units]=0,NULL,(([Measures].[Count]/[Measures].[Sales Units])*1000000))); END SCOPE; END SCOPE;
This displays the calculation all the time even if no item attributes are selected, I only want the calculation applicable to the structure & attributes belonging to structure - I tried children, currentmember etc. but no luck - its probably something small I am missing. Tried this too
I have developed a cube in my work place for analyzing current year sales with previous year sales in Time Hierarchy (Year- Quarter- Month) using Parallel period. If we want to see data for particular Quarters i.e. Q1 and Q2 then total at the year level should also get change. Currently if we only choose 2 quarters in the filter then current year data gets change, however data using parallel period is not getting change accordingly and its shows Total of full year.
I have been following the tutorial/blog post HERE to create an annualization (or "run rate") of my Gross Amount measure. What I want to do now is exclude any period that is not "complete".
For example, if today is 9/9 then Q3 is not complete - only Q1 and Q2 are complete. And if I'm looking at it monthly then January through August are complete, but September is not.
Cells B5 and D5 look exactly as I expect and want them to be. On row 6 below under each "Gross Annualized" value I have basically just put the formula for what it's actually doing.
What I would like to see in the blue cell is $67,211,697,268 - essentially the most recent annualization for a completed period. The annualization for Q3 is misleading because the quarter has not yet completed. There's $16b in Q1 and $17b in Q2, so the measly $78m in Q3 (yellow cell) is dragging the annualization down significantly. Even worse, the Gross Amount for Q4 is being treated as a $0.00, which is further dragging down the "2015 Gross Annualized" amount in blue. In a T-SQL average calculation, for example, I think the green cell would be treated as NULL rather than $0. That's kind of the behavior I want.
So I would like to do two things:
Create a calculation (probably just a 0 or 1 flag) that indicates whether the current period is complete or not. Again, using 9/9/2015 as an example, Q2 would be complete but Q3 would not be. And August would be complete, but September would not. Make the blue cell show $67,211,697,268 - an annualization based on completed quarters only.
For whatever it's worth here is the current calculation for Gross Annualized.
CREATE MEMBER CURRENTCUBE.[Measures].[Gross YTD] AS AGGREGATE( YTD([Pay Date].[Calendar].CurrentMember) ,[Measures].[Gross Amount]), FORMAT_STRING = "Currency", VISIBLE = 0;
At the 2nd level, the calculated measure will only be correct if it is Averaged. And at the 1st level, the calculated measure will only be correct to take these Average value from 2nd level and Sum then up together.
Level 1 Level 2 A X1 X2 ================= (Avg of X1 + X2) B Y1 Y2 Y3 ================= (Avg of Y1 + Y2 + Y3) =================================================== (Sum of (Avg of X1 + X2) + (Avg of Y1 + Y2 + Y3) )
Currently, Instead of summing all the 3 averaged value, it is averaging against all the items like,
(Avg of X1 + X2 + Y1 + Y2 + Y3)
My MDX currently looks something like that
[Measure].[Value] / [Dimension].[Attribute.count] -> so i can get the avarage at the 2nd level but it doesn't require on the 1st level but retaining this value.
How can i do an average on the leaf level and using these average values to sum at parent level?
I have taken three dtsx files and re written them into one each in its own container. I use the XML Task task alot which the File connection is set by a variable and the variable value is evaluated by expression (the expression makes up the path/filename from other variable values). All the variables that make up the connection are at the container scope. The package will not run now because it is saying that the source (created by variables) for the file connection do not exist.
It seems the answer is that file connections exist at the package level therefore the variable has to be at the package level. This seems to be alot of variables i now have to move to package level to generate the XML source connection. Which in essence makes it confusing as to which variables operate in which container.
My question is can we easily move variable scope (Not ideal as we have alot of variables at package level) Or Can we do the same for connection managers as we do for variables and have them only used in a scope? (this will be ideal as some connections only need to be at a container scope)
I am trying to do a calculation where I show the [YesEmail] / [TotalCustomers]. It wont let me do it unless i do two queries. Is there a way to put this all in this select statment.
Code:
SELECT customer_lifetime_totals.occurrence_1_store_no as [StoreNo], COUNT( case when customer.email_address IS NULL then 1 end) as [NoEmail], COUNT( case when customer.email_address IS NOT NULL then 1 end) as [YesEmail], COUNT(customer.customer_no) AS [TotalNewCustomers]
FROM customer_lifetime_totals INNER JOIN customer ON customer_lifetime_totals.customer_id = customer.customer_id WHERE (occurrence_1_transaction_date > CONVERT(DATETIME, '2006-08-01 00:00:00', 102)) GROUP BY customer_lifetime_totals.occurrence_1_store_no ORDER BY customer_lifetime_totals.occurrence_1_store_no
This works ... but only when i put the previous query in a temp table and then run another query referring to it.
Code:
cast(100*(cast(YesEmail as float) / TotalNewCustomers) as numeric (5,2)) as [Percent]
Hallo, for my project I need to calculate the estimated time an SQL statement will be running. The statements will be composed via a GUI and get become very complex. So the user needs a rough time approximation of how long to wait for the answer. A few seconds, ten minutes or several hours!?
My question: Does anyone know good links, articles or other source to get familiar with this topic? I'd also like to start a little discussion. On what does the runtime depend? (Is runtime the right word here?) Number of JOINs Number of different tables Size of the tables Complexity of the WHERE-Condition ("id=5" or rather "name LIKE '%foo%'") Indizes Hardware Number of users on the DBWhat else influences the time and how?
Aside from that I found the "SET SHOWPLAN_XML ON" for SQL Server 2005 to get the execution plan of the query.
But I can't find a reasonable listing of the elements and attributes and their meaning. I think StatementSubTreeCost sound interesting. Is that the time, the statement needs to run or what does the number 0.0033205 say?
Is anyone familiar with the SHOWPLAN_XML? Or can anyone provide me a link about the values of this plan, perhaps in the Microsoft-MSDN area!? The principle is clear. But what about the values in detail. There must be a documentation somewhere!
Now each table holds different measures e.g. 326, 229 & 278. I would like to subtract the measure_value of 229 from 278 and then add the measure_value from 278 from this. e.g
(326-229) + 278 = new measure_value.
This is for each id-product where the following 3 conditions meet:
the ID_PRODUCT, ID_MARKET AND ID_BUCKET match. Im lost, any help would be great.
thanks
Jay
p.s this what i have started with at the moment as a test however it dont work.
SELECT ID_PRODUCT, ID_MARKET, ID_BUCKET, ID_COLLECTION, ID_MEASURE, MEASURE_VALUE FROM (SELECT TOP 100 PERCENT dbo.DPOUT_EXCEPTIONS_326.ID_PRODUCT, dbo.DPOUT_EXCEPTIONS_326.ID_MARKET, dbo.DPOUT_EXCEPTIONS_326.ID_BUCKET, dbo.DPOUT_EXCEPTIONS_326.ID_COLLECTION, dbo.DPOUT_EXCEPTIONS_326.ID_MEASURE, dbo.DPOUT_EXCEPTIONS_326.MEASURE_VALUE + DBO.DPOUT_LSBP_229.MEASURE_VALUE as 'MEASURE_VALUE' FROM dbo.DPOUT_EXCEPTIONS_326 INNER JOIN dbo.dpout_lsbp_229 on dbo.dpout_exceptions_326.id_product = dbo.dpout_lsbp_229.id_product where dbo.DPOUT_EXCEPTIONS_326.ID_PRODUCT = dbo.dpout_lsbp_229.id_product and dbo.DPOUT_EXCEPTIONS_326.ID_MARKET = DBO.DPOUT_LSBP_229.ID_MARKET and dbo.DPOUT_EXCEPTIONS_326.ID_BUCKET = DBO.DPOUT_LSBP_229.ID_BUCKET)
Calculation of an average using DAX' AVERAGE and AVERAGEX.This is the manual calculation in DW, using SQL.In the tabular project (we're i've noticed that these 4 %'s are in itself strange), in a 1st moment i've noticed that i would have to divide by 100 to get the same values as in the DW, so i've used AVERAGEX:
The results were, respectively: 701,68; 2120,60...; -669,441; and finally **-694,74** for Avg_FMPdollar.i can't understand the difference to SQL calculation, since calculations are similar to the other ones. After that i've tried:
test:=SUM([_FMPdollar])/countrows('Fct Sales') AND the value was EQUAL to SQL: -672,17 test2:=AVERAGE('Fct Sales'[_Frontend Margin Percent ACY]), and here, without dividing by 100 in the end, -696,74...
So, AVERAGE and AVERAGEX have a diferent behaviour from the SUM divided by COUNTROWS, and even more strange, test2 doesn't need the division by 100 to be similar to AVERAGEX result.
I even calculated the number of blanks and number of zeros on each column, could it be a difference on the denominator (so, a division by a diferente number of rows), but they are equal on each row.
I am currently having this problem with gridview and detailview. When I drag either onto the page and set my select statement to pick from one table and then update that data through the gridview (lets say), the update works perfectly. My problem is that the table I am pulling data from is mainly foreign keys. So in order to hide the number values of the foreign keys, I select the string value columns from the tables that contain the primary keys. I then use INNER JOIN in my SELECT so that I only get the data that pertains to the user I am looking to list and edit. I run the "test query" and everything I need shows up as I want it. I then go back to the gridview and change the fields which are foreign keys to templates. When I edit the templates I bind the field that contains the string value of the given foreign key to the template. This works great, because now the user will see string representation instead of the ID numbers that coinside with the string value. So I run my webpage and everything show up as I want it to, all the data is correct and I get no errors. I then click edit (as I have checked the "enable editing" box) and the gridview changes to edit mode. I make my changes and then select "update." When the page refreshes, and the gridview returns, the data is not updated and the original data is shown. I am sorry for so much typing, but I want to be as clear as possible with what I am doing. The only thing I can see being the issue is that when I setup my SELECT and FROM to contain fields from multiple tables, the UPDATE then does not work. When I remove all of my JOIN's and go back to foreign keys and one table the update works again. Below is what I have for my SQL statements:------------------------------------------------------------------------------------------------------------------------------------- SELECT:SELECT People.FirstName, People.LastName, People.FullName, People.PropertyID, People.InviteTypeID, People.RSVP, People.Wheelchair, Property.[House/Day Hab], InviteType.InviteTypeName FROM (InviteType INNER JOIN (Property INNER JOIN People ON Property.PropertyID = People.PropertyID) ON InviteType.InviteTypeID = People.InviteTypeID) WHERE (People.PersonID = ?)UPDATE:UPDATE [People] SET [FirstName] = ?, [LastName] = ?, [FullName] = ?, [PropertyID] = ?, [InviteTypeID] = ?, [RSVP] = ?, [Wheelchair] = ? WHERE [PersonID] = ? ---------------------------------------------------------------------------------------------------------------------------------------The only fields I want to update are in [People]. My WHERE is based on a control that I use to select a person from a drop down list. If I run the test query for the update while setting up my data source the query will update the record in the database. It is when I try to make the update from the gridview that the data is not changed. If anything is not clear please let me know and I will clarify as much as I can. This is my first project using ASP and working with databases so I am completely learning as I go. I took some database courses in college but I have never interacted with them with a web based front end. Any help will be greatly appreciated.Thank you in advance for any time, help, and/or advice you can give.Brian
I have been trying to optimize a few DAX calculations that I have in my cube and ran into this problem Basically my DAX Measure
Counterparty Collateral Base DKK:= [Counterparty Collateral Contracts DKK (filtered)] + CALCULATE(-[Account Balances DKK], Accounts[Counterpart Type ID] <> 8, Accounts[ContractTypeID] <> 14, Accounts[ContractTypeID] <> 16) is pretty fast, whereas as soon as I change the 2nd part to only add Account Balance if its>0, it takes ages i.e. Counterparty Collateral Base DKK:= [Counterparty Collateral Contracts DKK (filtered)] + IF(CALCULATE(-[Account Balances DKK], Accounts[Counterpart Type ID] <> 8, Accounts[ContractTypeID] <> 14, Accounts[ContractTypeID] <> 16)>0, CALCULATE(-[Account Balances DKK], Accounts[Counterpart Type ID] <> 8, Accounts[ContractTypeID] <> 14, Accounts[ContractTypeID] <> 16),0)
Offcourse because I check every row I suppose with that "if" statement. Question is how do I improve it? B y the Way: [Account Balances DKK] is in the table - Account Balances [Counterparty Collateral Contracts DKK (filtered)] is in the table- Open Positions
This calculated measure [Counterparty Collateral Base DKK] is in Open Positions.And the query in MDX, that I run to pull this measure, looks like
select {[Measures].[Counterparty Collateral Base DKK] }on 0, Non Empty {[Accounts].[Counterpart ID].children *[Base Currencies].[Currency Code].children *[Products].[Product Name].children } on 1 from [model] where [Dates].[Date].&[2015-06-30T00:00:00]
The requirement is such that I have to add the measures in two separate tables.How can I improve the performance when adding the filter?
I am have a dimension to use as a slicer, I am trying to associate that dimension with a measure group using a calculated measure. I am using the below query:
I am trying to calculate a measure based on parameter passed I have a liquidation rate of amount/facevalue when the dimension attribute is 'all' and i will like to the 'amount' to change based on the parameter passed and the 'facevalue' should not changed , i tried with the code below.
What I noticed is when i add a calculated member to return the currentmember of the cell member
measures.strat as [Strategy].[ICS].CURRENTMEMBER.uniquename it comes back as [Strategy].[ICS].[All]
even when I changed the default value for the parameter to another member like red
WITH MEMBER MEASURES.TEST AS (( CASE WHEN [Strategy].[ICS].CURRENTMEMBER.uniquename = '[Strategy].[ICS].[All]' THEN [Measures].[Measures].[AMOUNT]
I'm new to MDX, and most of the time I customize existing queries rather than writing new ones. I currently have a MDX query like this
SELECT [Measures].[Fees Billed] on 0, except([Age].[Day Buckets].members, {[Age].[Day Buckets].[All], [Age].[Day Buckets].&[Unknown]}) on 1 FROM MyCube WHERE ([Fiscal Period].[Fiscal Year].&[2015], [Customer].[City].&[Auckland] )
Which brings the fees billed by age buckets where the customer's city is Auckland. I also have another dimension called [Sales Agent] with a member [City] in it, and there is a member in [Customer] called [Customer].[Sales Agent]
I am trying to retrieve the same information where the customer's sales agent's city is Auckland rather than the customer's city.
If it is SQL, I will join Customer and SalesAgent on Customer.SalesAgentUno = SalesAgent.SalesAgentUno and bring in the desired data. Any way in MDX to do this?
Using 'TAIL([Time].[Time].[Year].MEMBERS,1)' I can get the current year dynamically. My question is how do I get the previous two years dynamically as well. I've tried a few different ways with no luck. As you can see below I'd like to replace 2014 and 2013 with current year -1 and current year -2.
SELECT { [Time].[Time].[Year].&[2013], [Time].[Time].[Year].&[2014], TAIL([Time].[Time].[Year].MEMBERS,1) }ON COLUMNS, NON EMPTY {[Branches].[Branches].[Region]*[Measures].[Ship Resale S&D Run Rate]} ON ROWS FROM SALES
