We have a fact table where one of the measures in that fact table is invoice balance. Some of our reports requirements list that they only want to see the sum of those invoices where the balance is greater than X dollars. How do I go about filtering calculations based on a measures value?
View 3 RepliesI cannot create a measure that returns results for dates that do not exist in the fact table despite the fact that the components included in the measure contain valid results for these same dates.Creature a measure that counts the number of days where the "stock qty" is below the "avg monthly sales qty for the last 12 months" (rolling measure).Here is the DAX code I have tried for the measure (note that filter explicitly refers to the date table (called Calendar) and not the fact table):
StkOutCnt:=CALCULATE (
COUNTROWS ( VALUES ( Calendar[DateKey] ) ),
FILTER (
Calendar,
[Stock qty] < [Avg Monthly Sales Qty L12M@SKU]
)
)
Below you can see the sub measures (circled in red) are giving results for all days in the calendar.Highlighted in yellow are dates for which the StkOutCnt measure is not returning a result. Having investigated these blank dates, I am pretty confident that they are dates for which there are no transactions in the fact table (weekends, public holidays etc...).why I am getting an "inner join" with my fact table dates despite the fact that this is not requested anywhere in the dax code and that the two sub measures are behaving normally?
I have a big table with several types of transsactions: PO (Puchase Orders, SO,( Sales orders), INV (Invoices) ....
I want to create cubes with only one type of transactions (1 cube for PO,...)
Where and how can I filter the rows I want to use in my cube ?
Thanks
I want to filter a measure based on another measure (both are measures on the same FACT table).Distinct Number of Users HAVING.User Cost above 0.
I tried doing having but because it’s two measures and not a tuple with a dimension it writes an eror.My query is something like:
SELECT
[Measures].[Distinct Number of Users ]
having [Measures].[User Cost] >0
ON
COLUMNS,
[code]....
Please note, that I want it in a MDX query not needing to change the cube or DWH table.
I have a cube with 2 fact tables and I would like to create a calculated measure that uses values from both tables like:
fact1.measure1 / fact2.measure2
I can't see how to do this?
I have a Fact table that contains several degenerate string values that I have pulled into a Fact Dimension.
When I browse the cube and cut one of the measures by an attribute from the Fact Dimension, I am getting incorrect data.
In other words, when I query the fact table directly via SQL and apply the same filters, I see the data I am expecting to see. But cube browse with same filters yields different results.
How can this happen since the fact dimension has a 1:1 relationship with the fact table.
I do have the Dimension Usage configured properly.
Is this an aggregation thing? Attribute key thing? What am I missing?
Say you have a fact table with a few columns that all reference the same key column in a dimension table, you want to write a view to return the information for those keys?
USE MyTestDB;
GO
SET NOCOUNT ON;
IF OBJECT_ID ('dbo.FactTemp' ,'U') IS NOT NULL
DROP TABLE dbo.FactTemp;
[Code] ....
I'm using very small data at the moment, and the query plan and statistics don't really say which way.
I have built a fact table and few dimension views in Datamart with the aim of creating a Cube.
On the Fact table I have added a CASE Statement with the following threshold for Premium due amounts:
CASE WHEN....
'Due_0-1_Month'
'Due_1-2_Month'
'Due_2-3_Month'
'Due_Over_3_Months'
'Overdue_0-1_Month'
'Overdue_1-3_Month'
'Overdue_3-6_Month'
'Overdue_Over_6_Months'
...END
I then created a Dimension to link this to:
CREATE VIEW...
Select 'Due_0-1_Month' as Ageing_Threshold
union all
Select 'Due_1-2_Month'
union all
Select 'Due_2-3_Month'
[Code] ....
I was successful in processing the cube, however the problem is everytime I drag the dimension on the columns field in Pivot tables the Thresholds start to break up the other amounts that I have on display like Acquisition Costs, Tax amounts. I am only interested in showing the breakdown of Premium amount measure by the Threshold dimension.
somehow 'Hide' or 'prevent' the Threshold dimension from breaking down the other measures on the Pivot and only breakdown the amounts for Premium?
how I should structure my tables in SQL or any MDX queries to resolve this.
HI all friends
I have a Fact table like this
DIMENSSIONSMEASURES
------------------------------
idempidprodcutsalessalesws
I just want make the next query with MDX
SELECT sales
FROM myFactTable
WHERE salesws > 0
Note that salesws is a measure not a dimmension
How it would be in MDX? I need a lot of help
Regards!
I have a delima.
I have a dataset that needs to return "Fatalities Involving drivers age 15-17". For years 2003 , 2004, 2005.
So i set up 3 different filters: Year : 2003,2004,2005
Person type: Driver
Age : 15,16,17
Now this is fine for getting a crash count and fatalities (for teen drivers). But i want the fatalities for everyone ( All Person Types) and (All Ages) ...how do i go about this. All i get right now, is the fatalities for Drivers 15-17.
Please help..im confused!
I'm trying to create a percentile rank function based on the standard WIKI version:
I've seen Brian Knight's article here, but that only deals with percentile.
Where I'm struggling is getting the count of members in a set using a measure, in the current context on the same hierarchy, as the filter expression. I'm using the comparative set as in belonging to the same geographical location, and therefore associating by another attribute.
So, cl as below:
MEMBER [Measures].[RegionPercentileCount] AS
Count(
Filter(
NonEmpty(
descendants(Ancestor(
[Supplier].[NameMap].CurrentMember,
[Supplier].[NameMap].[Region]),
[Supplier].[NameMap].[Supplier Id]),
[Measures].[ActiveMeasure])
, [Measures].[ActiveMeasure] <
([Supplier].[NameMap].CurrentMember,
[Measures].[ActiveMeasure])))
Using the same measure and context hierarchy is always going to be equal, and therefore the count is always zero. Its almost as if I need a nested context for the FILTER which allows me to use enumerate the set on the same hierarchy whilst maintaining the external reference.
I'm thinking that perhaps I'm going to have to create another hierarchy and use that as the filter set and reference through StrToMember or similar.
SSAS 2008 R2
Is it possible to filter out a measure only at the intersection of Two dimension members? I have a date dimension, a Hospital dimension and a wait time measure.
For Example, is it possible to filter out Wait time for Bayside Hospital for the Month of June 2015?
I want Wait time to continue to be displayed for all other months and roll up into the totals without the filtered value.
One of my models has order data, cost per order/invoice ID and then dimensions on Fiscal Year, category, etc...the usual.
A user wanted to search it for an exact order amount. (They knew for example that one of our accounts was not balancing by single order worth $746.13 and assumed it must be an order that was placed but never marked shipped that slipped through the cracks).
Now, in the model I have "order amount" as a field and then a measure that sums that.
I could expose that "order amount" field as a label and let them filter on it in Excel (and that works).
However, I haven't had any luck filtering on the actual measure "Total Order Amount". Such as OrderID-> View Filter -> "Total Order Amount" equals 746.13.
I assume this is due to a few things:
Measure calculates at different levels so filtering on a measure is difficult as you would have to place all the "slicers" and set them first before the measure would "exist" at a level where it could be $746.13. Orders by year would have $746.13 as part of it's year sum, but wouldn't exist as a stand alone line item orders by year 2015 might be 2 million.
Orders by category might exist at 500,000, 8,000, 15,146.36, etc... but not $746.13.
So I would need OrderID on there as a column so the measure could return at the value of $746.13 for one row for it to match the filter?
Basically:
1. Why it can't really filter on a measure?
2. Is there a better way to accomplish this other than exposing the actual column in the fact table "order amount" as it feels like that could cause all kinds of confusion if other users try to slice/filter on that not realizing exactly what it is meant to be?
Any way to create a measure that filters the second column to mimic the behavior of only filtering for slicer for the Open Pool Date values as per the image below. Ultimately, I need to create a measure that only includes accounts that were opened 6 months prior to the month row context.
Trying to get the values in the second column to only include aging accounts 6 months prior instead of 12 months prior.
Trailing6Month Conversion:=CALCULATE([TOTAL LTD Converted Amount] ,Filter(Settlement700,Settlement700[OpenDatePool]>=RELATED(DimDate[Trailing6MonthsEnd])))
Trailing6Month LTD Conversion Amount:=CALCULATE([Trailing6Month Conversion],DATESINPERIOD(DimDate[FullDate],LASTDATE(DimDate[FullDate]),-6,Month))
The user wants to be able, using excel, to apply a filter to all measures in every measure group. I though that I can create a dimension with a single level with two members, let´s say "on" and "off" and depending on the selected member and using an IIF statement decide which formula applies to the calculated measures.
I have serious doubts about the performance and for this technique because I am thinking as a .Net developer and not as a cube developer. Maybe it is better to resolve it scoping the measures but I cannot figure it out.
Hello,
Here is my problem:
I use SQL Server 2005. I have approx. 50 tables in my database and 30 of them have a filed named "CompanyID". Example:
create table A (ID int identity, NAME varchar(100), COMPANYID int)create table A (ID int identity, REF_ID int, FIELD1 varchar(100), FIELD2 varchar(100), COMPANYID int)
Also there are nearly 200 stored procedures that read data from these tables. Example:
create procedure ABCasbegin /* some checks and expressions here ... */ select ... from A inner join B on (A.ID = B.REF_ID) where ... /* ... */end;
All my queries in the Stored procedure does not filter the tables by CompanyID, so they process the entire data.
However, now we have a requirement to separate the data for each company. That means that we have to put a filter by CompanyID to each of those 20 tables in each query where the tables appear.
Firstly, I put the CompanyID in the context so now its value is accessible through the context_info() function. Thus I do not need now to pass it as a parameter to the stored procedures.
However, I don't know what is the easiest and fastest way to filter the tables. Example:
I modified the above mentioned procedure in the following way:
create procedure ABCasbegin /* some checks and expressions here ... */
-- gets the CompanyID from the context: DECLARE @CompanyID int; SELECT @CompanyID = CONVERT(float, CONVERT(varchar(128), context_info()))
select ... from A inner join B on (A.ID = B.REF_ID) where ...
and A.COMPANYID = @CompanyID and B.COMPANYID = @CompanyID /* ... */end;
Now I have the desired filter by CompanyID. However, modifying over 200 stored procedures is rather tedious work and I don't think that this is the best approach. Is there any functionality in SQL Server that can provide the possibility to put an automatic filter to the tables.
For example: when I wrote "SELECT * FROM A", the actual statements to be executed would be "SELECT * FROM A WHERE CompanyID = CONVERT(float, CONVERT(varchar(128), context_info()))".
I was looking for something like "INSTEAD OF SELECT" triggers but I didn't manage to find any answer.
I would very grateful is someone suggests a solution for something like "global table filter" (that will help me make an easy refactoring)?
Thanks in advance.
Best regards,
Beroetz
In my cube there are two measures which are used in different calculations.Now I'm need to show in report if there any months in data when both or even another one of the measures is not updated (value = 0 or NULL).
how should I create the calculated measure for that?
I have tried in mgmt studio to plan this but I'm in a loop of errors.
Hi,
I am wondering how to create a matrix that contains 1 dimension for Top Label (Column), let's say "Year-Month"
and then 2 Measure to be in the row format rather than columnar format.
Example as below :
Year-Month on the column, and the measure is on the row :
2007-04
2007-05
2007-06
Amount Sales
1000
2000
3000
Unit Sales
10
20
30
Total
1010
2020
3030
Please share with me if you have this solution in Reporting services as it works in excel, hyperion brio, bo, cognos but somehow cannot see that function in Reporting Services.
Thanks
best regards,
Tanipar
I am working on a model where I have a sales fact table. Each fact record has four different customer fields (ship- to, sold-to, payer, and bill-to customer). I have one customer dimension table that joins to the sales fact table four times (once for each of the customer fields above). When viewing the data in Excel, I would like to have four hierarchies (ship -to, sold-to, payer, and bill-to customer) within Customer.
Is there a way to build hierarchies within my Customer dimension based on the same Customer table? What I want is to view the data in Excel and see the Customer dimension. Within Customer, I want four hierarchies.
In SSAS, I want to add a calculated measure and set that measure as the Parent of existing measure. For example I have the measures as A and B from the fact table. Now i want to add a calculated measure as C and set this measure as Parent for measures A and B. How to do that in SSAS.
View 4 Replies View RelatedI have a transaction table having about 40 crore rows in source. It don't have timestamp and unique key columns. It have only Bill_month and Bill_Year columns. Actually for loading this table into staging I have added a new datetime column by adding default bill_date as 01. Then
* First we delete last 3 month data from staging tables.
* Get last 3 months data from source table.
* Load that 3 months data from source to staging table.
We do this because we only get update for last three months data. Now I have to include this transaction table as Fact table in DW. What will be the best practice for loading the fact table by picking data form staging table. Also we have to look up with dimensions for Foreign Keys.
* Should I implement the same method of deleting last 3 months records and loading them again.
We need to Insert/Update a Fact Table from staging Table. currently we are using a SP which update Fact Table for Each region. this process is schedule, every 5 min job is run and Update fact table.but time of Insert and Update too long from staging to Fact, currently we are using merge statement for Insert and update.in my sp we are looping number how many region we need to update and at a time single Region we are updating using while loop in current SP.
View 7 Replies View RelatedI only see a need for a PK in a dimension table, not a fact table. Do you agree?
View 4 Replies View RelatedI would like to know how to use a fact table so that when I insert or update a row with a word that the table will reference the fact table to make sure that the word I'm using is correct.
for example I have a table with column Fulltext and Abbreviation
in the fulltext column I have a a word "Windows Server 2008" now in the abbreviation I would like to abbreviate this to "Win Srv 08" Now the Fact table would have to columns Fulltext and Abbreviation under Full text the full words would be in it like Windows, Server, and 2008 and under the Abbreviation column Win, srv, and 08
So I want it so that everytime the word Windows comes up and I need to type an Abbreviation for it that it will reference the fact table which is using the Abbreviation Win. To avoid different ways of abbreviating the word windows.
Is there a way to do this automatically so that I don't have to manually go back and forth between the fact table and the table that I'm updating?
I have created a table in the sql server 7.0 and I wanted to know the what is the size of the table, is there any storeprocedure or command that can be used to measure the space used by the table in the database
View 2 Replies View RelatedHi,
we have a problem with "one-to-many relations between fact table and dimension table". Take the example of table "LOGGEDFLAW" which is related one-to-many to the table "LOGGEDREASON. "LOGGEDFLAW" includes the column "FLAWKEY" and "LOGGEDREASON" includes the column "REASONKEY" and essentiallay the column "FLAWKEY" as foreign key. Now assume that we have the following records in there:
LOGGEDFLAW
1) FLAW1
2) FLAW2
LOGGEDREASON
1) REASON1,FLAW1
2) REASON2,FLAW1
3) REASON3,FLAW2
Now assume, that "LOGGEDFLAW" is the facttable and "FLAWCOUNT" is the measure with the source column "FLAWKEY" in which we want to count the number of FLAWs. As you see in the example the number of FLAWs is 1 for "FLAW1" and "FLAW2". Microsoft Analysis Server generates the value of 2 for the number of FLAWs "FLAW1" because of the one-to-many relationship to the table "LOGGEDREASON". In the attached ZIP File you find :
- a MDB File with the described example
- a screenshot from the cube constructed in AS
- a screenshot from the result table generated with AS.
The question: How is it possible to calculate the measure "FLAWCOUNT" correctly, ignoring the records generated by the one-to-many relationship?
Best regards,
Thorsten
I have picked an exmple from this forum, to help me explain my current problem...
"I'm looking for a solution to import data from a flat file into an normalized data modell. To explain it a little simpler think about to following:
The Data Souce is a CSV-File with FirstName, LastName and Category. Sample data could be
Dirk; Bauer; sailing
Peter; Bauer; fishing
Marc; Bauer; reading
In my data modell I have defined the 2 tables "Person" and "Category":
Table "Person"
----------------
[PersonID] [int] IDENTITY(1,1) NOT NULL
[CategoryID] [int] NOT NULL
[FirstName] [nvarchar](50)
[LastName] [nvarchar](50)
Table "Category"
----------------
[CategoryID] [int] IDENTITY(1,1) NOT NULL
[CategoryName] [nvarchar](50)
Now I like to read my first row from the source and lookup a value for the CategoryID "sailing". As my data tables are empty right now, the lookup is not able to read a value for "sailing". Now I like to insert a new row in the table "Category" for the value "sailing" and receive the new "CategoryID" to insert my values in the table "Person" INCLUDING the new "CategoryID".
I think this is a normal way of reading data from a source and performing some lookups. In my "real world" scenario I have to lookup about 20 foreign keys before I'm able to insert the row read from the flat file source.
I really can't belief that this is a "special" case and I also can't belief that there is no easy and simple way to solve this with SSIS. Ok, the solution from Thomas is working but it is a very complex solution for this small problem. So, any help would be appreciated...
Thanks,
Dirk"
http://forums.microsoft.com/MSDN/ShowPost.aspx?PostID=74752&SiteID=1
Could someone help me creating the dimension table?
Thanks!!
I have a large flat file that comes to me. I first import the flat data in to a SQL table for ease of use. Then i put it into a more permanent table with the proper references to dimension tables. I want to build a dimension table out of information from my flat file. I have a dimension table with columns, [Org Client], and [Client#] where [org client] is the name of the client. Both of these columns appear in my flat file but i want to use only the client# in my permanent table. How extract distinct values of client # and [org client] into a dimension table?
My idea was to select distinct values of client# and use some type of foreach loop to go through each client# and use a query to select the TOP(1) values of [org client] where client# = x. Would this work and if so how do I go about setting this up?
I'm really hoping there is a simpler way than this. Thank you all for your time.
So far we are happy with MS OLAP 2000 service.
In the past we did cubes with aggregation method using summary.
MS OLAP server allows aggregate functions (Sum, Min, Max, Count, and Distinct Count).
But now the customer wants to know percentage of SUM(measure A) /SUM (measure B) in different levels and dimension combination.
Any idea?
Hi,
I am writing a BI solution for a recruitment company. In their
business, the can be n number of participants from different
dimensions linked to the same fact record. For example, a client can
be sent the CV of 50 candidates. That's my first problem. My second
problem is the variety of dimension participant types for a given fact
record. This results in the need for nullable dimension FK's - which
I'm trying to avoid. For example, consider the following two business
events. In the first one, a candidate fills a job. Easy, we have a
record in the fact table where the fact table has the following
columns: DateKey, EventType, CandidateKey, VacancyKey. No nullable
columns, great. But there are other events that I want to store in
the fact table too. Let's go back to my first example: The client is
sent CV's of 50 candidates in one transaction. So there is one client
linked to the fact, but 50 candidates. So now I need to extend the
fact table and add another column: CandidateGroupKey (which links to
and Intermediate Fact Table). But in this case there was no vacancy
involved. So do I now have to make the VacancyKey column nullable?
That doesn't seem like a good idea...
Or do I have to go for a completely different approach and have
different fact tables instead of just one?
Anyone have any suggestions?
Hi!
can any body tell me how to populate the fact table from base tables.
databse name: bookorder
Realtions:
customer (customerid,l_name,f_name,city, district,country)
cust_order(orderid,orderdate,customerid)
order_detail(orderid,itemno,isbn,quantity)
book(isbn,title,edition_no,price)
author(authorid,name,surname)
book_author(authorid,isbn,authorseqno)
Now populate the datawarehouse name: book_orderdw
having fact table & three dimension tables given below from the above bookorder database
fact table
factsales(customerid,timeid,isbn,unit_price,discount_price,sales_quantity,sales_amount)
dimension tables
dimcustomer(customerid,l_name,f_name,city,district,country)
dimtime(timeid,orderdate,dayofweek, month, year)
dimbook(isbn,title,edition_no,price)
Now I have to populate the fact & dimension tables by writing sql scripts.
Now I have already populated the dimension tables by writing sql script,
But I have to populate the fact table taking into account, here I am facing problem in wriring sql script
(i) unit_price is taken from the book base table with reference to the isbn
(ii) sales_quantity is taken from the order_detail.quantity with reference to table cust_order(via orderid & orderdate)
(iii) discount_price is determined dependent on the quantity. if the quantity > 20 then discount 20 %(i.e discount_price = 0.8 * unit_price). if quantity < 10, no discount i.e normal price. if quantity between 10 and 20, discount 10%. Note that the quantity is determined based on each order of each customer, thus if the same book appears at multiple positions in an order, those positions shall be grouped together. This could happen because the pk of the order_detail table is order_id + item no, not order_id + isbn
(iv) sales_amount is sales_quantity * discount_price
Hi,this is easy with OLAP tools, but I need to do it just with MS-SQLserver:fatTableyeartypeval97a197b297c398a498b598c6....yeartype_atype_btype_c971239845699...The problem is number of different types - not just 3 like a,b,c butmore than 100, so I don't want to do it manually likeselectyear, a.val, b.val, c.valfrom(select year, val from factTable where type='a') afull join (select year, val from factTable where type='b') bon a.year = b.yearfull join (select year, val from factTable where type='c') con a.year = c.yearis it possible somehow with DTS or otherwise? I just need to presentthe data in spreadsheet in more readable form, but I cannot find anyway how to export the result from MS-SQLserverOLAPservices to Excel...Martin
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