A few questions:
1) We have numerous fact tables with surrogate keys which reference just one dimensional surrogate key. How does this work?
2) Are the ‘facts’ feeding data TO the ‘dimensions’ (back end warehousing)? Or are the ‘Dimensions’ feeding facts to the ‘facts’ tables for lookups!?
Nb: Im very inexperienced at database design.
Im really also using this thread to get contacts for future harder questions!
Thanks kindly
I have a fact table that has terminations. Fields include EmployeeName, TermDate, TermReason, and HireDate, et al.
I need to make EmployeeName available to drillthrough, and since it's a varchar field I can't make it a measure, so it has to be a dimension attribute. My question is, should I leave the fact table as it is and use SSAS to create a dimension that contains only EmployeeName and the link to TerminationID? Or should I redesign the OLAP tables so that EmployeeName is in a separate table?
Dear all,
Now I create datawarehouse for my client, I have SSIS a lot for ETL process, I a problem that some fact table need to be updatetable and there is a lot of data of this, I need some efficent way to load this data to data warehouse.
I have read your article about SCD in SSIS (Slowly Changing Dimensions in SQL Server 2005).
I think the purpose of SCD for Dimension table. If I have some fact table that need rows to be updatetable can you give me an example, best practice, the efficient way or fastet way to load fact table that can be updatetable?
If you have link or link about this problem please reply my email. Thanks
My datasource from ORACLE and my datawarehouse in mssql2005
Regards,
Hendrik Gunawan
Hi All,
What is the best way to move data from Online system tro data warehouse?
I have created 3 dimension tables(product,date and customer tables) and
I wanna create fact table and get foreign keys from dimension tables.
What is the best method to do that in SSIS?
thanks
Hi,
I am new at SSIS and I am trying to create a Datawarehouse using SSIS. I have the data files as flat files I have the Dimensional Model ready on Paper and Now I need to use the SSIS for the ETL process.
I am trying to figure out how to make dimension tables in SSIS? I mean I want to create the 5 Dimension tables and then create a Fact table out of it but I cant understand where to start? Can any one tell me how we create Dimesion tables in SSIS. Like one of the dimesion tables I need to create uses 2 flat files and is like a flattened dimension, How would I create this in SSIS?
Even if there is any tutorial which shows this step by step do let me know. I would really appreciate any guidance on this.
Thanks,
Sarang
I have a fact table with few flag columns.
What is the best way to bring them to dimension?
Do I need to create dimension(dummy) from fact table for each flag or all flags in single dimension?
Hi there, my question is really simple. I want to setup an automatic task in SSIS that drops the tables in the target database and substitutes them with tables from the source database. We are talking about two or three dimension tables and one fact table. The dimension tables are pretty small. The fact table will contain, at maximum, 300,000 rows and 12 columns. I do not use delta or flag historisation btw. What tasks in SSIS would you suggest to use?
BTW I'm new to SSIS... ;-) Thanks in advance!
I'm putting together a Kimball method SSIS package. My factSales table has an OrderRep key. If a match isn't found in the dimRep table I am inserting a dummy dimRep row and going on. That seems to be working.
My question is what do I do when the OLTP sales row has NULL for the OrderRep. This is possible; every sale does not have to have an order rep. My package is seeing that as a non match and trying to create a dummy row in the dimRep table for every NULL. I really don't want to do this. I can trap for the NULL rep and convert it to "unknown" or something but then the program would still create a single row in the dimRep table for unknown. Is that the best way to handle this? Or is there a way to trap for NULL and ignore the entire lookup process? A conditional split before every key lookup?
I have about 5 or 6 other dimension tables that will have the same NULL possibility.
Thanks.
Hi ,
I have situation where I get data from SRC Flat file and have to load Dimensional table and also fact table, using same data flow(have no other choice since I have to unpivot some src data). Since I have to load both tables in same data flow, I have to have a way to put load ordering constraint (I know informatica allows that). Does any one have any idea on how this can be done in SSIS?
I would be really grateful.
Thanks
Hi All,
I am just curious to know how I can load data from a data warehouse to an Analysis Service Cube (both to the fact tables and dimensions).
Does any body have some way to achieve this?
I appreciate if any body provide me a good material which describe this scenario.
Sincerely,
--Amde
I've got a dimension built from a fact (whatever that's called?) ... it's a date interval field, i.e. 0-5 weeks, 6-10 weeks 11+ weeks. How do I sort these members in the respective order? Looks like this currently:
The problem lies in the fact that I don't have any secondary attributes to order it by, i.e. it's not a physical dimension where I can use a key for the 3 members. I was hoping I wouldn't need to create a separate dimension to get round this.
I am using sql server 2005 enterprise edition.
How to list all the dimension and fact column names with mdx or tsql query...
I'm loading a fact table that has several geographic attributes - some are at the state level, some are at the county level, and then some are drilled farther in that that. I understand the basic concept of the dimension with the ragged hierarchy, but unsure of how to load to the fact table using lookups based on these geographic units. For example, if my geographic dimension contains 200 records for the state of Wyoming, basically a record for each fine-grain place (i.e. city/town), then how do I go about doing a county lookup. Wyoming only has 23 counties, but because of the repetitive nature of the dimension attributes that are not at the finest grain, I'll get more records in the lookup than I need. This activity repeats of course while I move up the geographic scale to state, then country. How do I configure/fill my dimension to handle these differing scales of data?
Hi all,
Maybe someone here can help me out: I have a Kimball type II dimension, where i track changes in a hierarchy. Each row has a RowStartDate and RowEndDate property to indicate from when to when a certain row should be used.
Now i want to load facts to that table. So each fact will have a certain date associated with it that i can use to lookup the right Id (a certain SourceId can have mulitiple integer Ids when there are historic changes) and then load the facts.
Is there a building block I can use for that? I could do this with SQL scripts but the client would prefer to have as much as possible done in SSIS. The Lookup transformation will only let me specify an equal (inner join where A=B) join, but i need equal for one column (SourceId) and then >= and <= (RowStart and RowEnd) to find the right row version.
Any ideas? Thanks in advance,
John
I am modelling cube in SSAS. Cube has around 20 dimensions and 6 fact tables. Some of the dimensions are common among the fact tables. e.g. Time dimension. Fact_PNL has 3 date columns for those we have 3 role playing dimensions in the dimension usages.
Another fact table has 5 date columns for them as well we have separate role playing dimensions in dimension usage tab. We have a common dimension Company which is foreign key in all fact tables. We might need to combine the data from multiple facts to get final output.
Should i create 6 role playing dimension for each of the fact table or use the same dimension for all fact tables?
Role playing dimensions should be created when we have multiple columns pointing to the same dimension ?
I created a Fact Table with 3 Keys from dimension tables, like Customer Key, property key and territory key. Since I can ONLY have one Identity key on a table, what do I need to do to avoid populating NULLs on these columns..
View 3 Replies View RelatedHow do I correctly populate a fact table with the surrogate key from the dimension table?
View 4 Replies View RelatedI am developing a BI solution on SQL Server 2008 R2 and how to handle multiple referances to the same dimension from a fact table!
Here is the scenario;
Fact_Contracts (# M)
ServiceProvider_CompanyID, Client_CompanyID, Amount_USD
Dim_Company( hundreds)
ID, CityID, ProfessionID, CompanyName
Dim_City
ID, CityName
Dim_Profession
ID, ProfessionName
As u can see there is two company references in my fact table, and the schema is in snowflake. My customer requirements state that the Contracts' amounts can be aggregated/filtered for/by, ServiceProviderCompany, its city/profession or ClientCompay, its city/profession.
First thing came in to my mind is to dublicate whole dimension structure (one for serviceproviders, one for clients), which i thought that there should be another way around?
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?
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.
I have dimension data like this
persn_key persn_id address is_active updated_date
1 10 NYC 0 2015-11-04 14:19:54.817
2 10 Chicago 1 null
and Fact table like
fact_key persn_key units_purchased
1 1 10
persn_key is the surrogate key between tables.
My question here is as the dimension has SCD type 2 on it and every time when there is a change the persn_key gets a new key value but the fact table still points to oldest key.how to update the surrogate key on fact table to the current key value? As per the requirement fact surrogate key must be pointing to current active record on the dimension.
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.
can someone help me with th best way to look up a date in date dimension and populate the date id in fact.
in the source date is dd/mm/yyyy
and in date dimension columns are date id , year , quarter , month, day
Hi,
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.
When i add a dimension to the cube dimension without any relation in my dimension usage to any measure group my units are going down.However when i remove the dimension from the cube am getting the correct values.
View 4 Replies View RelatedSay 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.
Hi!
Need some help building a query that does the following :
I have 2 Time Dimensions ; Time (Transdate) and ClosedDate (ClosedDate)
In my report/query, if [Time].CurrentMember = [Time].[YMD].[YMD].[2006].[200610].[20061031] I want to FILTER out all ClosedDate < [ClosedDate].[YMD].[YMD].[2006].[200610].[20061031]
Both Time Dimensions are Year -> Month -> Day and have the same Members.
I have every option available, using calculated Members and/or Measures to do this.
The report I'm creating is Aging of Receivables : Balance / 30 days / 60 days / etc.. But for the Aging, I need to filter like explained above.
Appreciate all help!
Regards,
Stian Bakke
Hi,
The following SQL is lifted from one of the Reporting Services / Adventureworks2000 sample reports. I'm a little slow / baffled on how the inner joins are working? Specifically the Inner Join Locale and Inner Join ProductModel. I'm used to seeing Inner Join SomTable On Something = Somthing but how these joins are working is lost on me. Can someone give a quick overview (or point me to a reference) so I can better understand.
Thanks!
SELECT ProductSubCategory.Name AS ProdSubCat, ProductModel.Name AS ProdModel, ProductCategory.Name AS ProdCat, ProductDescription.Description,
ProductPhoto.LargePhoto, Product.Name AS ProdName, Product.ProductNumber, Product.Color, Product.Size, Product.Weight, Product.DealerPrice,
Product.Style, Product.Class, Product.ListPrice
FROM ProductSubCategory
INNER JOIN Locale
INNER JOIN ProductDescriptionXLocale ON Locale.LocaleID = ProductDescriptionXLocale.LocaleID
INNER JOIN ProductDescription ON ProductDescriptionXLocale.ProductDescriptionID = ProductDescription.ProductDescriptionID
INNER JOIN ProductModel
INNER JOIN Product ON ProductModel.ProductModelID = Product.ProductModelID
INNER JOIN ProductModelXProductDescriptionXLocale ON ProductModel.ProductModelID = ProductModelXProductDescriptionXLocale.ProductModelID
ON ProductDescriptionXLocale.LocaleID = ProductModelXProductDescriptionXLocale.LocaleID AND
ProductDescriptionXLocale.ProductDescriptionID = ProductModelXProductDescriptionXLocale.ProductDescriptionID
ON ProductSubCategory.ProductSubCategoryID = Product.ProductSubCategoryID
INNER JOIN ProductCategory ON ProductSubCategory.ProductCategoryID = ProductCategory.ProductCategoryID
LEFT OUTER JOIN ProductPhoto ON Product.ProductPhotoID = ProductPhoto.ProductPhotoID
WHERE (Locale.LocaleID = 'EN')
Shawn
I'm trying to get the following poll working:http://www.codeproject.com/useritems/Site_Poll_Control.aspIt looks like it's exactly what I was looking for, but it doesn't come with much in the way of instructions. I have the following function: Public Function CastVote(ByVal PollId As Integer, ByVal Answer As Integer, ByVal MemberId As Integer) As Boolean Dim cmd As New SqlCommand("InsertPollResult", New SqlConnection(Connection)) With cmd.Parameters .AddWithValue("@PollId", PollId) .AddWithValue("@PollChoice", Answer) .AddWithValue("@MemberId", MemberId) End With Return (SqlExecuteInsertSp(cmd) > 0) End Function This calls SqlExecuteInsertSp(cmd) which is:Public Function SqlExecuteInsertSp(ByVal cmd As SqlCommand) As Integer Dim i As Integer cmd.CommandType = CommandType.StoredProcedure Try cmd.Connection.Open() i = cmd.ExecuteNonQuery() Catch ex As Exception ErrorMessage = "ProDBObject.SqlExecuteInsertSp(SqlCommand): " & ex.Message.ToString Finally cmd.Connection.Close() End Try Return i End Function I can't figure out what this is doing. The best I can figure is it determines if we have a good connection. Is this right? In my code CastVote keeps returning false, and I don't know why. The answer seems to be in the i = cmd.ExecuteNonQuery() line, but I can't figure out what that line is supposed to be doing.Diane
View 3 Replies View RelatedHi Guys,
I have written quite a big stored procedure which creates a temporary table (multi-session) and updates it. All the statements are encapsulated in a single transaction which is explicitly declared in the code. What happens is that a lock is being put by the server on that table (of type Sch-M) in order thus preventing any type of operations on it (including simple select)
Now, I want to be able read that table from within another transaction. Why is that I cannot use a table hint NOLOCK in the select statement?
Here is some code which reproduces my problem.
Query A:
SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED;
BEGIN TRAN TR_DEMO;
CREATE TABLE ##TBL1(
Oidx int not null primary key identity(1,1),
Name nvarchar(30) not null,
Type char(1) not null
);
INSERT ##TBL1 (Name,Type) VALUES ('Car','M');
WAITFOR DELAY '00:00:10';
INSERT ##TBL1 (Name,Type) VALUES ('Plane','M');
WAITFOR DELAY '00:00:10';
INSERT ##TBL1 (Name,Type) VALUES('Submarine','M');
WAITFOR DELAY '00:00:10';
DELETE FROM ##TBL1;
DROP TABLE ##TBL1;
COMMIT TRAN TR_DEMO;
Query B:
SELECT TOP 1 * FROM ##TBL1 (NOLOCK) ORDER BY oidx DESC;
Launch query A and then execute query B.
Thanks a lot for your help.
My question is in what situations @@ERROR will be set...
I like to do some logic when some error is occured in a particular statement....
the doc. says the @@ERROR value will be set if an error occurs in a statement, and the control will move to the next statement without exiting(???) the procedure and @@ERROR value can be used in that statement.
but when i execute the below procedure, the execution is terminated ( when the error occurs) without moving to the next statement. please help me to understand the SQL Server's @@ERROR and the situations when it will be set....
-----------------------------------------------------------------------
CREATE PROCEDURE VALUE_ERROR_TEST
AS
BEGIN
DECLARE @adv_error INT
DECLARE @errno INT
DECLARE @var int
SELECT @var = '101 a'
SELECT @errno = @@ERROR
print @errno
END
go
-----------------------------------------------------------------------
procedure get successfully compiled. when executed it says,
Server: Msg 245, Level 16, State 1, Procedure VALUE_ERROR_TEST, Line 10
Syntax error converting the varchar value '101 a' to a column of data type int.
Jake