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  • T-SQL (SCD) Slowly Changing Dimension Type 2 using a merge statement

    - by AtulThakor
    Working on stored procedure recently which loads records into a data warehouse I found that the existing record was being expired using an update statement followed by an insert to add the new active record. Playing around with the merge statement you can actually expire the current record and insert a new record within one clean statement. This is how the statement works, we do the normal merge statement to insert a record when there is no match, if we match the record we update the existing record by expiring it and deactivating. At the end of the merge statement we use the output statement to output the staging values for the update,  we wrap the whole merge statement within an insert statement and add new rows for the records which we inserted. I’ve added the full script at the bottom so you can paste it and play around.   1: INSERT INTO ExampleFactUpdate 2: (PolicyID, 3: Status) 4: SELECT -- these columns are returned from the output statement 5: PolicyID, 6: Status 7: FROM 8: ( 9: -- merge statement on unique id in this case Policy_ID 10: MERGE dbo.ExampleFactUpdate dp 11: USING dbo.ExampleStag s 12: ON dp.PolicyID = s.PolicyID 13: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 14: INSERT (PolicyID,Status) 15: VALUES (s.PolicyID, s.Status) 16: WHEN MATCHED --if it already exists 17: AND ExpiryDate IS NULL -- and the Expiry Date is null 18: THEN 19: UPDATE 20: SET 21: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 22: dp.Active = 0 -- and deactivate the existing record 23: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 24: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 25: WHERE -- we'll filter using a where clause 26: MergeAction = 'Update'; -- here   Complete source for example 1: if OBJECT_ID('ExampleFactUpdate') > 0 2: drop table ExampleFactUpdate 3:  4: Create Table ExampleFactUpdate( 5: ID int identity(1,1), 3: go 6: PolicyID varchar(100), 7: Status varchar(100), 8: EffectiveDate datetime default getdate(), 9: ExpiryDate datetime, 10: Active bit default 1 11: ) 12:  13:  14: insert into ExampleFactUpdate( 15: PolicyID, 16: Status) 17: select 18: 1, 19: 'Live' 20:  21: /*Create Staging Table*/ 22: if OBJECT_ID('ExampleStag') > 0 23: drop table ExampleStag 24: go 25:  26: /*Create example fact table */ 27: Create Table ExampleStag( 28: PolicyID varchar(100), 29: Status varchar(100)) 30:  31: --add some data 32: insert into ExampleStag( 33: PolicyID, 34: Status) 35: select 36: 1, 37: 'Lapsed' 38: union all 39: select 40: 2, 41: 'Quote' 42:  43: select * 44: from ExampleFactUpdate 45:  46: select * 47: from ExampleStag 48:  49:  50: INSERT INTO ExampleFactUpdate 51: (PolicyID, 52: Status) 53: SELECT -- these columns are returned from the output statement 54: PolicyID, 55: Status 56: FROM 57: ( 58: -- merge statement on unique id in this case Policy_ID 59: MERGE dbo.ExampleFactUpdate dp 60: USING dbo.ExampleStag s 61: ON dp.PolicyID = s.PolicyID 62: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 63: INSERT (PolicyID,Status) 64: VALUES (s.PolicyID, s.Status) 65: WHEN MATCHED --if it already exists 66: AND ExpiryDate IS NULL -- and the Expiry Date is null 67: THEN 68: UPDATE 69: SET 70: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 71: dp.Active = 0 -- and deactivate the existing record 72: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 73: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 74: WHERE -- we'll filter using a where clause 75: MergeAction = 'Update'; -- here 76:  77:  78: select * 79: from ExampleFactUpdate 80: 

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  • Distinct Count of Customers in a SCD Type 2 in #DAX

    - by Marco Russo (SQLBI)
    If you have a Slowly Changing Dimension (SCD) Type 2 for your customer and you want to calculate the number of distinct customers that bought a product, you cannot use the simple formula: Customers := DISTINCTCOUNT( FactTable[Customer Id] ) ) because it would return the number of distinct versions of customers. What you really want to do is to calculate the number of distinct application keys of the customers, that could be a lower number than the number you’ve got with the previous formula. Assuming that a Customer Code column in the Customers dimension contains the application key, you should use the following DAX formula: Customers := COUNTROWS( SUMMARIZE( FactTable, Customers[Customer Code] ) ) Be careful: only the version above is really fast, because it is solved by xVelocity (formerly known as VertiPaq) engine. Other formulas involving nested calculations might be more complex and move computation to the formula engine, resulting in slower query. This is absolutely an interesting pattern and I have to say it’s a killer feature. Try to do the same in Multidimensional…

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  • unresolved external symbol _D3D10CreateDeviceAndSwapChain@32 referenced in function "public: bool

    - by numerical25
    Having trouble creating my swap chain. I receive the following error. DX3dApp.obj : error LNK2019: unresolved external symbol _D3D10CreateDeviceAndSwapChain@32 referenced in function "public: bool __thiscall DX3dApp::InitDirect3D(void)" (?InitDirect3D@DX3dApp@@QAE_NXZ) Below is the code ive done so far. #include "DX3dApp.h" bool DX3dApp::Init(HINSTANCE hInstance, int width, int height) { mhInst = hInstance; mWidth = width; mHeight = height; if(!WindowsInit()) { return false; } if(!InitDirect3D()) { return false; } } int DX3dApp::Run() { MSG msg = {0}; while (WM_QUIT != msg.message) { while (PeekMessage(&msg, NULL, 0, 0, PM_REMOVE) == TRUE) { TranslateMessage(&msg); DispatchMessage(&msg); } Render(); } return (int) msg.wParam; } bool DX3dApp::WindowsInit() { WNDCLASSEX wcex; wcex.cbSize = sizeof(WNDCLASSEX); wcex.style = CS_HREDRAW | CS_VREDRAW; wcex.lpfnWndProc = (WNDPROC)WndProc; wcex.cbClsExtra = 0; wcex.cbWndExtra = 0; wcex.hInstance = mhInst; wcex.hIcon = 0; wcex.hCursor = LoadCursor(NULL, IDC_ARROW); wcex.hbrBackground = (HBRUSH)(COLOR_WINDOW+1); wcex.lpszMenuName = NULL; wcex.lpszClassName = TEXT("DirectXExample"); wcex.hIconSm = 0; RegisterClassEx(&wcex); // Resize the window RECT rect = { 0, 0, mWidth, mHeight }; AdjustWindowRect(&rect, WS_OVERLAPPEDWINDOW, FALSE); // create the window from the class above mMainhWnd = CreateWindow(TEXT("DirectXExample"), TEXT("DirectXExample"), WS_OVERLAPPEDWINDOW, CW_USEDEFAULT, CW_USEDEFAULT, rect.right - rect.left, rect.bottom - rect.top, NULL, NULL, mhInst, NULL); if (!mMainhWnd) { return false; } ShowWindow(mMainhWnd, SW_SHOW); UpdateWindow(mMainhWnd); return true; } bool DX3dApp::InitDirect3D() { DXGI_SWAP_CHAIN_DESC scd; ZeroMemory(&scd, sizeof(scd)); scd.BufferCount = 1; scd.BufferDesc.Width = mWidth; scd.BufferDesc.Height = mHeight; scd.BufferDesc.Format = DXGI_FORMAT_B8G8R8A8_UNORM; scd.BufferDesc.RefreshRate.Numerator = 60; scd.BufferDesc.RefreshRate.Denominator = 1; scd.BufferUsage = DXGI_USAGE_RENDER_TARGET_OUTPUT; scd.OutputWindow = mMainhWnd; scd.SampleDesc.Count = 1; scd.SampleDesc.Quality = 0; scd.Windowed = TRUE; HRESULT hr = D3D10CreateDeviceAndSwapChain(NULL,D3D10_DRIVER_TYPE_REFERENCE, NULL, 0, D3D10_SDK_VERSION, &scd, &mpSwapChain, &mpD3DDevice); if(!hr != S_OK) { return FALSE; } ID3D10Texture2D *pBackBuffer; return TRUE; } void DX3dApp::Render() { } LRESULT CALLBACK WndProc(HWND hWnd, UINT message, WPARAM wParam, LPARAM lParam) { switch (message) { // Allow the user to press the escape key to end the application case WM_KEYDOWN: switch(wParam) { // Check if the user hit the escape key case VK_ESCAPE: PostQuitMessage(0); break; } break; // The user hit the close button, close the application case WM_DESTROY: PostQuitMessage(0); break; } return DefWindowProc(hWnd, message, wParam, lParam); }

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  • Loading Hybrid Dimension Table with SCD1 and SCD2 attributes + SSIS

    - by Nev_Rahd
    Hello I am just in a process of starting a new task, wherein in i need to load Hybrid Dimension Table with SCD1 and SCD2. This need to be achieved as a SSIS Package. Can someone guide what would be the best way dealing this in SSIS, should i used SCD component or there is other way? What are the best practices for this. For SCD2 type, am using Merge statement. Thanks

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  • Fast multi-window rendering with C#

    - by seb
    I've been searching and testing different kind of rendering libraries for C# days for many weeks now. So far I haven't found a single library that works well on multi-windowed rendering setups. The requirement is to be able to run the program on 12+ monitor setups (financial charting) without latencies on a fast computer. Each window needs to update multiple times every second. While doing this CPU needs to do lots of intensive and time critical tasks so some of the burden has to be shifted to GPUs. That's where hardware rendering steps in, in another words DirectX or OpenGL. I have tried GDI+ with windows forms and figured it's way too slow for my needs. I have tried OpenGL via OpenTK (on windows forms control) which seemed decently quick (I still have some tests to run on it) but painfully difficult to get working properly (hard to find/program good text rendering libraries). Recently I tried DirectX9, DirectX10 and Direct2D with Windows forms via SharpDX. I tried a separate device for each window and a single device/multiple swap chains approaches. All of these resulted in very poor performance on multiple windows. For example if I set target FPS to 20 and open 4 full screen windows on different monitors the whole operating system starts lagging very badly. Rendering is simply clearing the screen to black, no primitives rendered. CPU usage on this test was about 0% and GPU usage about 10%, I don't understand what is the bottleneck here? My development computer is very fast, i7 2700k, AMD HD7900, 16GB ram so the tests should definitely run on this one. In comparison I did some DirectX9 tests on C++/Win32 API one device/multiple swap chains and I could open 100 windows spread all over the 4-monitor workspace (with 3d teapot rotating on them) and still had perfectly responsible operating system (fps was dropping of course on the rendering windows quite badly to around 5 which is what I would expect running 100 simultaneous renderings). Does anyone know any good ways to do multi-windowed rendering on C# or am I forced to re-write my program in C++ to get that performance (major pain)? I guess I'm giving OpenGL another shot before I go the C++ route... I'll report any findings here. Test methods for reference: For C# DirectX one-device multiple swapchain test I used the method from this excellent answer: Display Different images per monitor directX 10 Direct3D10 version: I created the d3d10device and DXGIFactory like this: D3DDev = new SharpDX.Direct3D10.Device(SharpDX.Direct3D10.DriverType.Hardware, SharpDX.Direct3D10.DeviceCreationFlags.None); DXGIFac = new SharpDX.DXGI.Factory(); Then initialized the rendering windows like this: var scd = new SwapChainDescription(); scd.BufferCount = 1; scd.ModeDescription = new ModeDescription(control.Width, control.Height, new Rational(60, 1), Format.R8G8B8A8_UNorm); scd.IsWindowed = true; scd.OutputHandle = control.Handle; scd.SampleDescription = new SampleDescription(1, 0); scd.SwapEffect = SwapEffect.Discard; scd.Usage = Usage.RenderTargetOutput; SC = new SwapChain(Parent.DXGIFac, Parent.D3DDev, scd); var backBuffer = Texture2D.FromSwapChain<Texture2D>(SC, 0); _rt = new RenderTargetView(Parent.D3DDev, backBuffer); Drawing command executed on each rendering iteration is simply: Parent.D3DDev.ClearRenderTargetView(_rt, new Color4(0, 0, 0, 0)); SC.Present(0, SharpDX.DXGI.PresentFlags.None); DirectX9 version is very similar: Device initialization: PresentParameters par = new PresentParameters(); par.PresentationInterval = PresentInterval.Immediate; par.Windowed = true; par.SwapEffect = SharpDX.Direct3D9.SwapEffect.Discard; par.PresentationInterval = PresentInterval.Immediate; par.AutoDepthStencilFormat = SharpDX.Direct3D9.Format.D16; par.EnableAutoDepthStencil = true; par.BackBufferFormat = SharpDX.Direct3D9.Format.X8R8G8B8; // firsthandle is the handle of first rendering window D3DDev = new SharpDX.Direct3D9.Device(new Direct3D(), 0, DeviceType.Hardware, firsthandle, CreateFlags.SoftwareVertexProcessing, par); Rendering window initialization: if (parent.D3DDev.SwapChainCount == 0) { SC = parent.D3DDev.GetSwapChain(0); } else { PresentParameters pp = new PresentParameters(); pp.Windowed = true; pp.SwapEffect = SharpDX.Direct3D9.SwapEffect.Discard; pp.BackBufferFormat = SharpDX.Direct3D9.Format.X8R8G8B8; pp.EnableAutoDepthStencil = true; pp.AutoDepthStencilFormat = SharpDX.Direct3D9.Format.D16; pp.PresentationInterval = PresentInterval.Immediate; SC = new SharpDX.Direct3D9.SwapChain(parent.D3DDev, pp); } Code for drawing loop: SharpDX.Direct3D9.Surface bb = SC.GetBackBuffer(0); Parent.D3DDev.SetRenderTarget(0, bb); Parent.D3DDev.Clear(ClearFlags.Target, Color.Black, 1f, 0); SC.Present(Present.None, new SharpDX.Rectangle(), new SharpDX.Rectangle(), HWND); bb.Dispose(); C++ DirectX9/Win32 API test with multiple swapchains and one device code is here: http://pastebin.com/tjnRvATJ It's a modified version from Kevin Harris's nice example code.

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  • Windows Azure: Server and Cloud Division

    - by kaleidoscope
    On 8th Dec 2009 Microsoft announced the formation of a new organization within the Server & Tools Business that combines the Windows Server & Solutions group and the Windows Azure group, into a single organization called the Server & Cloud Division (SCD). SCD will deliver solutions that help our customers realize even greater benefits from Microsoft’s investments in on-premises and cloud technologies.  And the new division will help strengthen an already solid and extensive partner ecosystem. Together, Windows Server, Windows Azure, SQL Server, SQL Azure, Visual Studio and System Center help customers extend existing investments to include a future that will combine both on-premises and cloud solutions, and SCD is now a key player in that effort. http://blogs.technet.com/windowsserver/archive/2009/12/08/windows-server-and-windows-azure-come-together-in-a-new-stb-organization-the-server-cloud-division.aspx   Tinu, O

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  • Slowly Changing Dimensions handling in PowerPivot (and BISM?)

    - by Marco Russo (SQLBI)
    During the PowerPivot Workshop in London we received many interesting questions and Alberto had the inspiration to write this nice post about Slowly Changing Dimensions handling in PowerPivot. It is interesting the consideration about SCD Type I attributes in a SCD Type II dimension – you can probably generate them in a more dynamic way in PowerPivot (thanks to Vertipaq and DAX) instead of relying on a relational table containing all the data you need, which usually requires a more complex ETL process....(read more)

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  • Mapping between 4+1 architectural view model & UML

    - by Sadeq Dousti
    I'm a bit confused about how the 4+1 architectural view model maps to UML. Wikipedia gives the following mapping: Logical view: Class diagram, Communication diagram, Sequence diagram. Development view: Component diagram, Package diagram Process view: Activity diagram Physical view: Deployment diagram Scenarios: Use-case diagram The paper Role of UML Sequence Diagram Constructs in Object Lifecycle Concept gives the following mapping: Logical view (class diagram (CD), object diagram (OD), sequence diagram (SD), collaboration diagram (COD), state chart diagram (SCD), activity diagram (AD)) Development view (package diagram, component diagram), Process view (use case diagram, CD, OD, SD, COD, SCD, AD), Physical view (deployment diagram), and Use case view (use case diagram, OD, SD, COD, SCD, AD) which combines the four mentioned above. The web page UML 4+1 View Materials presents the following mapping: Finally, the white paper Applying 4+1 View Architecture with UML 2 gives yet another mapping: Logical view class diagrams, object diagrams, state charts, and composite structures Process view sequence diagrams, communication diagrams, activity diagrams, timing diagrams, interaction overview diagrams Development view component diagrams Physical view deployment diagram Use case view use case diagram, activity diagrams I'm sure further search will reveal other mappings as well. While various people usually have different perspectives, I don't see why this is the case here. Specially, each UML diagram describes the system from a particular aspect. So, for instance, why the "sequence diagram" is considered as describing the "logical view" of the system by one author, while another author considers it as describing the "process view"? Could you please help me clarify the confusion?

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  • Data mixing SQL Server

    - by Pythonizo
    I have three tables and a range of two dates: Services ServicesClients ServicesClientsDone @StartDate @EndDate Services: ID | Name 1 | Supervisor 2 | Monitor 3 | Manufacturer ServicesClients: IDServiceClient | IDClient | IDService 1 | 1 | 1 2 | 1 | 2 3 | 2 | 2 4 | 2 | 3 ServicesClientsDone: IDServiceClient | Period 1 | 201208 3 | 201210 Period = YYYYMM I need to insert into ServicesClientsDone the months range from @StartDate up @EndDate. I have also a temporary table (#Periods) with the following list: Period 201208 201209 201210 The query I need is to give me back the following list: IDServiceClient | Period 1 | 201209 1 | 201210 2 | 201208 2 | 201209 2 | 201210 3 | 201208 3 | 201209 4 | 201208 4 | 201209 4 | 201210 Which are client services but the ranks of the temporary table, not those who are already inserted This is what i have: Table periods: DECLARE @i int DECLARE @mm int DECLARE @yyyy int, DECLARE @StartDate datetime DECLARE @EndDate datetime set @EndDate = (SELECT GETDATE()) set @StartDate = (SELECT DATEADD(MONTH, -3,GETDATE())) CREATE TABLE #Periods (Period int) set @i = 0 WHILE @i <= DATEDIFF(MONTH, @StartDate , @EndDate ) BEGIN SET @mm= DATEPART(MONTH, DATEADD(MONTH, @i, @FechaInicio)) SET @yyyy= DATEPART(YEAR, DATEADD(MONTH, @i, @FechaInicio)) INSERT INTO #Periods (Period) VALUES (CAST(@yyyy as varchar(4)) + RIGHT('00'+CONVERT(varchar(6), @mm), 2)) SET @i = @i + 1; END Relation between ServicesClients and Services: SELECT s.Name, sc.IDClient FROM Services JOIN ServicesClients AS sc ON sc.IDService = s.ID Services already done and when: SELECT s.Name, scd.Period FROM Services JOIN ServicesClients AS sc ON sc.IDService = s.ID JOIN ServicesClientsDone AS scd ON scd.IDServiceClient = sc.IDServiceClient

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  • Is there a bash shortcut for traversing similar directory structures?

    - by Steve Weet
    The Korn shell used to have a very useful option to cd for traversing similar directory structures e.g. given the following directorys /home/sweet/dev/projects/trunk/projecta/app/models /home/andy/dev/projects/trunk/projecta/app/models Then if you were in the /home/sweet.... directory then you could change to the equivalent directory in andy's structure by typing cd sweet andy So if ksh saw 2 arguments then it would scan the current directory path for the first value, replace it with the second and cd there. Is anyone aware of similar functionality in bash. EDIT 1 Following on from Michal's excellent answer I have now created the following bash function called scd (For Sideways cd) function scd { cd "${PWD/$1/$2}" } EDIT 2 Thanks to @digitalross I can now reproduce the ksh functionality exactly with the code from below (With the addition of a pwd to tell you where you have changed to) cd () { if [ "x$2" != x ]; then builtin cd ${PWD/$1/$2} pwd else builtin cd "$@" fi }

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  • SQL SERVER – Guest Post – Architecting Data Warehouse – Niraj Bhatt

    - by pinaldave
    Niraj Bhatt works as an Enterprise Architect for a Fortune 500 company and has an innate passion for building / studying software systems. He is a top rated speaker at various technical forums including Tech·Ed, MCT Summit, Developer Summit, and Virtual Tech Days, among others. Having run a successful startup for four years Niraj enjoys working on – IT innovations that can impact an enterprise bottom line, streamlining IT budgets through IT consolidation, architecture and integration of systems, performance tuning, and review of enterprise applications. He has received Microsoft MVP award for ASP.NET, Connected Systems and most recently on Windows Azure. When he is away from his laptop, you will find him taking deep dives in automobiles, pottery, rafting, photography, cooking and financial statements though not necessarily in that order. He is also a manager/speaker at BDOTNET, Asia’s largest .NET user group. Here is the guest post by Niraj Bhatt. As data in your applications grows it’s the database that usually becomes a bottleneck. It’s hard to scale a relational DB and the preferred approach for large scale applications is to create separate databases for writes and reads. These databases are referred as transactional database and reporting database. Though there are tools / techniques which can allow you to create snapshot of your transactional database for reporting purpose, sometimes they don’t quite fit the reporting requirements of an enterprise. These requirements typically are data analytics, effective schema (for an Information worker to self-service herself), historical data, better performance (flat data, no joins) etc. This is where a need for data warehouse or an OLAP system arises. A Key point to remember is a data warehouse is mostly a relational database. It’s built on top of same concepts like Tables, Rows, Columns, Primary keys, Foreign Keys, etc. Before we talk about how data warehouses are typically structured let’s understand key components that can create a data flow between OLTP systems and OLAP systems. There are 3 major areas to it: a) OLTP system should be capable of tracking its changes as all these changes should go back to data warehouse for historical recording. For e.g. if an OLTP transaction moves a customer from silver to gold category, OLTP system needs to ensure that this change is tracked and send to data warehouse for reporting purpose. A report in context could be how many customers divided by geographies moved from sliver to gold category. In data warehouse terminology this process is called Change Data Capture. There are quite a few systems that leverage database triggers to move these changes to corresponding tracking tables. There are also out of box features provided by some databases e.g. SQL Server 2008 offers Change Data Capture and Change Tracking for addressing such requirements. b) After we make the OLTP system capable of tracking its changes we need to provision a batch process that can run periodically and takes these changes from OLTP system and dump them into data warehouse. There are many tools out there that can help you fill this gap – SQL Server Integration Services happens to be one of them. c) So we have an OLTP system that knows how to track its changes, we have jobs that run periodically to move these changes to warehouse. The question though remains is how warehouse will record these changes? This structural change in data warehouse arena is often covered under something called Slowly Changing Dimension (SCD). While we will talk about dimensions in a while, SCD can be applied to pure relational tables too. SCD enables a database structure to capture historical data. This would create multiple records for a given entity in relational database and data warehouses prefer having their own primary key, often known as surrogate key. As I mentioned a data warehouse is just a relational database but industry often attributes a specific schema style to data warehouses. These styles are Star Schema or Snowflake Schema. The motivation behind these styles is to create a flat database structure (as opposed to normalized one), which is easy to understand / use, easy to query and easy to slice / dice. Star schema is a database structure made up of dimensions and facts. Facts are generally the numbers (sales, quantity, etc.) that you want to slice and dice. Fact tables have these numbers and have references (foreign keys) to set of tables that provide context around those facts. E.g. if you have recorded 10,000 USD as sales that number would go in a sales fact table and could have foreign keys attached to it that refers to the sales agent responsible for sale and to time table which contains the dates between which that sale was made. These agent and time tables are called dimensions which provide context to the numbers stored in fact tables. This schema structure of fact being at center surrounded by dimensions is called Star schema. A similar structure with difference of dimension tables being normalized is called a Snowflake schema. This relational structure of facts and dimensions serves as an input for another analysis structure called Cube. Though physically Cube is a special structure supported by commercial databases like SQL Server Analysis Services, logically it’s a multidimensional structure where dimensions define the sides of cube and facts define the content. Facts are often called as Measures inside a cube. Dimensions often tend to form a hierarchy. E.g. Product may be broken into categories and categories in turn to individual items. Category and Items are often referred as Levels and their constituents as Members with their overall structure called as Hierarchy. Measures are rolled up as per dimensional hierarchy. These rolled up measures are called Aggregates. Now this may seem like an overwhelming vocabulary to deal with but don’t worry it will sink in as you start working with Cubes and others. Let’s see few other terms that we would run into while talking about data warehouses. ODS or an Operational Data Store is a frequently misused term. There would be few users in your organization that want to report on most current data and can’t afford to miss a single transaction for their report. Then there is another set of users that typically don’t care how current the data is. Mostly senior level executives who are interesting in trending, mining, forecasting, strategizing, etc. don’t care for that one specific transaction. This is where an ODS can come in handy. ODS can use the same star schema and the OLAP cubes we saw earlier. The only difference is that the data inside an ODS would be short lived, i.e. for few months and ODS would sync with OLTP system every few minutes. Data warehouse can periodically sync with ODS either daily or weekly depending on business drivers. Data marts are another frequently talked about topic in data warehousing. They are subject-specific data warehouse. Data warehouses that try to span over an enterprise are normally too big to scope, build, manage, track, etc. Hence they are often scaled down to something called Data mart that supports a specific segment of business like sales, marketing, or support. Data marts too, are often designed using star schema model discussed earlier. Industry is divided when it comes to use of data marts. Some experts prefer having data marts along with a central data warehouse. Data warehouse here acts as information staging and distribution hub with spokes being data marts connected via data feeds serving summarized data. Others eliminate the need for a centralized data warehouse citing that most users want to report on detailed data. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Best Practices, Business Intelligence, Data Warehousing, Database, Pinal Dave, PostADay, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • PowerPivot and the Slowly Changing Dimensions

    - by AlbertoFerrari
    Slowly changing dimensions are very common in the data warehouses and, basically, they store many versions of the same entity whenever a change happens in the columns for which history needs to be maintained. For example, the AdventureWorks data warehouse has a type 2 SCD in the DimProduct table. It can be easily checked for the product code “FR-M94S-38” which shows three different versions of itself, with changing product cost and list price. This is exactly what we can expect to find in any data...(read more)

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  • PowerPivot and the Slowly Changing Dimensions

    - by AlbertoFerrari
    Slowly changing dimensions are very common in the data warehouses and, basically, they store many versions of the same entity whenever a change happens in the columns for which history needs to be maintained. For example, the AdventureWorks data warehouse has a type 2 SCD in the DimProduct table. It can be easily checked for the product code “FR-M94S-38” which shows three different versions of itself, with changing product cost and list price. This is exactly what we can expect to find in any data...(read more)

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  • Five things SSIS should drop

    - by jamiet
    There’s a current SQL Server meme going round entitled Five things SQL Server should drop and, whilst no-one tagged me to write anything, I couldn’t resist doing the same for SQL Server Integration Services. So, without further ado, here are five things that I think should be dropped from SSIS.Data source connectionsSeriously, does anyone use these? I know why they’re there. Someone sat in a meeting back in the early part of the last decade and said “Ooo, Reporting Services and Analysis Services have these things called Data Sources. If we used them in Integration Services then we’d have a really cool integration story.” Errr….no.Web Service TaskDitto. If you want to do anything useful against anything but the simplest of SOAP web services steer well clear of this peculiar SSIS additionActiveX Script TaskAnother task that I suspect has never seen the light of day in a SSIS package. It was billed as a way of running upgraded DTS2000 ActiveX scripts in SSIS – sounds good except for one thing. Anytime one of those scripts would try to talk to the DTS object model (which they all do – otherwise what’s the point) then they will error out. This one has always been a real head scratcher.Slow Changing Dimension wizardI suspect I may get some push back on this one but I’m mentioning it anyway. Some people like the SCD wizard; I am not one of those people! Everything that the SCD component does can easily be reproduced using other components and from a performance point of view its much more beneficial to use those alternatives.Multifile Connection ManagerImagining buying a house that came with a set of keys that didn’t open any of the doors. Sounds ridiculous right? How about a SSIS Connection Manager that doesn’t get used by any of the tasks or components. Ah, that’ll be the Multifile Connection Manager then!Comments are of course welcome. Diatribes are assumed :)@Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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  • Managing Slowly Changing Dimension with MERGE Statement in SQL Server

    Slowly Changing Dimension (SCD) Transformation is a quick and easy way to manage smaller slowly changing dimensions but it has several limitations and does not perform well when the number of rows or columns gets larger. Arshad Ali explores some of the alternatives you can use for managing larger slowly changing dimensions. How to automate your .NET and SQL Server deploymentsDeploy .NET code and SQL Server databases in a single repeatable process with Red Gate Deployment Manager. Start deploying with a 28-day trial.

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  • CodePlex Daily Summary for Wednesday, November 28, 2012

    CodePlex Daily Summary for Wednesday, November 28, 2012Popular ReleasesCommand Line Parser Library: 1.9.3.23 beta: Fixes an issue notified by github user sbambrick about parsing negative numbers.MCEBuddy 2.x: MCEBuddy 2.3.10: Critical Update to 2.3.9: Changelog for 2.3.10 (32bit and 64bit) 1. AsfBin executable missing from build 2. Removed extra references from build to avoid conflict 3. Showanalyzer installation now checked on remote engine machine Changelog for 2.3.9 (32bit and 64bit) 1. Added support for WTV output profile 2. Added support for minimizing MCEBuddy to the system tray 3. Added support for custom archive folder 4. Added support to disable subdirectory monitoring 5. Added support for better TS fil...DotNetNuke® Community Edition CMS: 07.00.00: Major Highlights Fixed issue that caused profiles of deleted users to be available Removed the postback after checkboxes are selected in Page Settings > Taxonomy Implemented the functionality required to edit security role names and social group names Fixed JavaScript error when using a ";" semicolon as a profile property Fixed issue when using DateTime properties in profiles Fixed viewstate error when using Facebook authentication in conjunction with "require valid profile fo...CODE Framework: 4.0.21128.0: See change notes in the documentation section for details on what's new.Microsoft Ajax Minifier: Microsoft Ajax Minifier 4.76: Fixed a typo in ObjectLiteralProperty.IsConstant that caused all object literals to be treated like they were constants, and possibly moved around in the code when they shouldn't be.Kooboo CMS: Kooboo CMS 3.3.0: New features: Dropdown/Radio/Checkbox Lists no longer references the userkey. Instead they refer to the UUID field for input value. You can now delete, export, import content from database in the site settings. Labels can now be imported and exported. You can now set the required password strength and maximum number of incorrect login attempts. Child sites can inherit plugins from its parent sites. The view parameter can be changed through the page_context.current value. Addition of c...Facebook Windows 8 Sample: Facebook Windows 8 Sample: The current drop holds two versions of the sample: A basic version that uses a Facebook application to list the content of facebook page. A full version including the use of Bing Maps sdk for positioning the restaurant in a map, and showing how to get there. See Developing a Windows Store App to learn how to use the Bing Maps AJAX Control to add Bing Maps to your Windows Store app.Distributed Publish/Subscribe (Pub/Sub) Event System: Distributed Pub Sub Event System Version 3.0: Important Wsp 3.0 is NOT backward compatible with Wsp 2.1. Prerequisites You need to install the Microsoft Visual C++ 2010 Redistributable Package. You can find it at: x64 http://www.microsoft.com/download/en/details.aspx?id=14632x86 http://www.microsoft.com/download/en/details.aspx?id=5555 Wsp now uses Rx (Reactive Extensions) and .Net 4.0 3.0 Enhancements I changed the topology from a hierarchy to peer-to-peer groups. This should provide much greater scalability and more fault-resi...datajs - JavaScript Library for data-centric web applications: datajs version 1.1.0: datajs is a cross-browser and UI agnostic JavaScript library that enables data-centric web applications with the following features: OData client that enables CRUD operations including batching and metadata support using both ATOM and JSON payloads. Single store abstraction that provides a common API on top of HTML5 local storage technologies. Data cache component that allows reading data ranges from a collection and storing them locally to reduce the number of network requests. Changes...Team Foundation Server Administration Tool: 2.2: TFS Administration Tool 2.2 supports the Team Foundation Server 2012 Object Model. Visual Studio 2012 or Team Explorer 2012 must be installed before you can install this tool. You can download and install Team Explorer 2012 from http://aka.ms/TeamExplorer2012. There are no functional changes between the previous release (2.1) and this release.XrmServiceToolkit - A CRM 2011 JavaScript Library: XrmServiceToolkit 1.3.1: Version: 1.3.1 Date: November, 2012 Dependency: JSON2, jQuery (latest or 1.7.2 above) New Feature - A change of logic to increase peroformance when returning large number of records New Function - XrmServiceToolkit.Soap.QueryAll: Return all available records by query options (>5k+) New Fix - XrmServiceToolkit.Rest.RetrieveMultiple not returning records more than 50 New Fix - XrmServiceToolkit.Soap.Business error when refering number fields like (int, double, float) New ...Coding Guidelines for C# 3.0, C# 4.0 and C# 5.0: Coding Guidelines for CSharp 3.0, 4.0 and 5.0: See Change History for a detailed list of modifications.Math.NET Numerics: Math.NET Numerics v2.3.0: Portable Library Build: Adds support for WP8 (.Net 4.0 and higher, SL5, WP8 and .NET for Windows Store apps) New: portable build also for F# extensions (.Net 4.5, SL5 and .NET for Windows Store apps) NuGet: portable builds are now included in the main packages, no more need for special portable packages Linear Algebra: Continued major storage rework, in this release focusing on vectors (previous release was on matrices) Thin QR decomposition (in addition to existing full QR) Static Cr...ExtJS based ASP.NET 2.0 Controls: FineUI v3.2.1: +2012-11-25 v3.2.1 +????????。 -MenuCheckBox?CheckedChanged??????,??????????。 -???????window.IDS??????????????。 -?????(??TabCollection,ControlBaseCollection)???,????????????????。 +Grid??。 -??SelectAllRows??。 -??PageItems??,?????????????,?????、??、?????。 -????grid/gridpageitems.aspx、grid/gridpageitemsrowexpander.aspx、grid/gridpageitems_pagesize.aspx。 -???????????????????。 -??ExpandAllRowExpanders??,?????????????????(grid/gridrowexpanderexpandall2.aspx)。 -??????ExpandRowExpande...VidCoder: 1.4.9 Beta: Updated HandBrake core to SVN 5079. Fixed crashes when encoding DVDs with title gaps.ZXing.Net: ZXing.Net 0.10.0.0: On the way to a release 1.0 the API should be stable now with this version. sync with rev. 2521 of the java version windows phone 8 assemblies improvements and fixesBlackJumboDog: Ver5.7.3: 2012.11.24 Ver5.7.3 (1)SMTP???????、?????????、??????????????????????? (2)?????????、?????????????????????????? (3)DNS???????CNAME????CNAME????????????????? (4)DNS????????????TTL???????? (5)???????????????????????、?????????????????? (6)???????????????????????????????Liberty: v3.4.3.0 Release 23rd November 2012: Change Log -Added -H4 A dialog which gives further instructions when attempting to open a "Halo 4 Data" file -H4 Added a short note to the weapon editor stating that dropping your weapons will cap their ammo -Reach Edit the world's gravity -Reach Fine invincibility controls in the object editor -Reach Edit object velocity -Reach Change the teams of AI bipeds and vehicles -Reach Enable/disable fall damage on the biped editor screen -Reach Make AIs deaf and/or blind in the objec...Umbraco CMS: Umbraco 4.11.1: NugetNuGet BlogRead the release blog post for 4.11.0. Read the release blog post for 4.11.1. Whats new50 bugfixes (see the issue tracker for a complete list) Read the documentation for the MVC bits. Breaking changesGetPropertyValue now returns an object, not a string (only affects upgrades from 4.10.x to 4.11.0) NoteIf you need Courier use the release candidate (as of build 26). The code editor has been greatly improved, but is sometimes problematic in Internet Explorer 9 and lower. Pr...Audio Pitch & Shift: Audio Pitch And Shift 5.1.0.3: Fixed supported files list on open dialog (added .pls and .m3u) Impulse Media Player splash message (can be disabled anyway)New Projects[Mini Game] Roll the Dice !: By Dede Wahyu H. and Wahyu Dwi W - System Information students of Ma Chung University Malang Indonesia Features: -Dice gambling mini game -With Bet System -Placongtieudung: It can not be sharedCRM 2011 Activity Summary: Activity Summary is add-on to Microsoft Dynamics CRM 2011. It shows list of activities with convenient preview panel. The layout is similar to Microsoft OutlookDas Klub: Das Klub is an international Industrial Dance Kommunity Web Application. Live site is: http://dasklub.comDigital Image Processing Assignment #1: My prof asks me to write it.Eastridge Web Includes: Eastridge Web Includes gives SharePoint developers and designers the ability to include CSS and JavaScript in a more intelligent way.Exception Hub: ????????????,???? “????????” ??? “web????” ??。 ??????(webform/winform)??? “????????” ,????????Exception?????,?????????? “web????” ,??,????????????????,?????。Kanbanize! .NET: The Kanbanize! .NET project is a C#/.NET (4.0) library created for accessing the http://www.kanbanize.com Kanban board API.KnockoutSP: This is a javascript library that will create a knockout ViewModel for the lists and libraries on a sharepoint site. MailTool: MailToolmv0901blog: blog modelMyPocket: Personal Budget PlannerObservableEntityCollection: Observable Entity Collection class that overcome limitations of EntityCollection when binding in MVVM applications. Overview on this link: PCIIApps: Projetos de AulaPIINFO Prototype: Prototipo a ser presentado el ramo PIINFOPIM: Projeto desenvolvido para o curso de Análise e desenvolvimento de sistemas, 3º/4º semestre.Prose: Prose is an playground for an experimental JavaScript like language compiler. Eventually it will implement 0-CFA, CFA2, and a Tracing JITScapLIB: Light weight Screen capture Library for C# .NET. Designed to enable programmers to make high quality and performance Screen capture programs quickly and easily.SCD Merge Wizard: SCD Merge Wizard will help you generate query script for Slowly Changing Dimension (SCD) transformations using Microsoft's TSQL Merge statement.Semantria SDK: Turn Unstructured Content Into Actionable Data Semantria’s API helps organizations to extract meaning from large amounts of unstructured text.SharePoint Person or Group columns: In one of my recent client project, I had a requirement send out a reminder to all users in Person or Group columns from custom tasks list in custom timer job.shopabc: an shop demoSID and STAR generator: Generate SID, STAR and transition data for virtual ATC clients such as VRC.Sistema de Gestión de Trámite Documentario (SGTD): Sistema de Gestión de Trámite Documentario (SGTD)Sistema de Gestion Medica WEB: Sistema de Gestion Medica WEB Realido en C# 2010 Express Incluye: 1. Reporta de Evento Adverso 2. Estadistica Diaria de Medicos sp_wcProject: sp_wcProject is a stored procedure designed to allow you to easily define the projection of columns used in a table, view, or table valued function and then optionally run the query. The column names may be specified using wildcards, hence the "wc" name prefix. TimmyPersonal: PersonalTLDRML: Python/JSON inspired markup language designed to be extremely terse.Typing: Like Typeracer.comUdostepnianie plików: Takie tamWeather.com plug-in for HouseBot: This plug-in will parse the weather.com xml feed and display in HouseBot automation software. Please note that it requires the c# wrapper to work found here: http://www.housebot.com/forums/viewtopic.php?f=4&t=856395YoloEngine: Yolo Game Engine????: ???????????。

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  • Zend Server + Daemontools

    - by Ben
    Hey, Is anyone running Zend Server under Daemontools? I know I can use -D NO_DETACH to run apache under daemontools. But, I'm not sure if the other Zend Server components (monitor, lighthttpd, scd, jobqueue) have similar options. (The end goal is "run Zend Server with service supervision", so upstart would be fine too. For reference, my servers are running Ubuntu 10.04 LTS.) Ben

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  • Oracle Warehouse Builder és Enterprise ETL

    - by Fekete Zoltán
    Friss és ropogós az adatlap!!! Fogyasszátok egészséggel: ODI Enterprise Edition: Warehouse Builder Enterprise ETL white paper. A jó hír: minden megvásárolt Oracle Database-hez ingyenese használható az Oracle Warehouse Builder alap (core) funkcionalitása. Mi is az az OWB core funkcionalitás, és mit használhatunk az opciókban? Az Enterprise ETL funkcionalitás az Oracle Data Integrator Enterprise Edition licensz részeként érheto el az OWB-hez. Azok a funkciók, amik csak az ODI EE licensszel érhetok el (a korábbi OWB Enterprise ETL opció is ennek a része) megtekinthetok itt is a szöveg alján. Ezek: - Transportable ETL modules, multiple configurations, and pluggable mappings - Operators for pluggable mapping, pluggable mapping input signature, pluggable mapping output signature - Design Environment Support for RAC - Metadata change propagation - Schedulable Mappings and Process Flows - Slowing Changing Dimensions (SCD) Type 2 and 3 - XML Files as a target - Target load ordering - Seeded spatial and streams transformations - Process Flow Activity templates - Process Flow variables support - Process Flow looping activities such as For Loop and While Loop - Process Flow Route and Notification activities - Metadata lineage and impact analysis - Metadata Extensibility - Deployment to Discoverer EUL - Deployment to Oracle BI Beans catalog Tehát ha komolyabb környezetben szeretném használni az OWB-t, több környezetbe deployálni, stb, akkor szükség van az ODI EE licenszre is. ODI Enterprise Edition: Warehouse Builder Enterprise ETL white paper.

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  • Microsoft secure downloader not finishing download

    - by Goran_Mandic
    I am downloading Windows 8 RTM using Microsoft's secure downloader provided by my school's DreamSpark account. The OS I'm currently on is Windows 8 preview. Once the download reaches 100%, it restarts to 0%. I open the download path folder, and find the en_windows_8_x64_dvd_915440.sdc file and the en_windows_8_x64_dvd_915440.scd.log file. The log file contains only one line : "Unpacking File: C:\Users\en_windows_8_x64_dvd_915440.sdc" I was unable to unpack the file using 3rd party software, and there seems to be no official software made for unpacking this type of file. What can I do to avoid downloading the OS illegally, even though I have my own product key?

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  • How can I update a row and insert a new one automatically in NHibernate with one call to Save?

    - by snicker
    Let's say I have a Type II SCD database, that is basically append only. I am using NHibernate to persist objects to my database. I have an object like so: Pony |- int Id |- Guid EntityId |- string PonyName |- string PonyColor |- int RevisionValidFrom |- int RevisionValidTo Here's a typical scenario: Pony myLittlePony = myStable.GetLatestPonyByGuid("0f1ac08a-3328-43db-b278-77c272e4fea3"); myLittlePony.PonyColor = "Fish"; myNHSession.Save(myLittlePony); I want to be able to call Session.Save(myLittlePony) and have NHibernate UPDATE the old entity's RevisionValidTo to whatever I specify and then INSERT the modified Pony as a new row with a new Id, basically as if it were a brand new object being persisted to the DB.

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  • OWB 11gR2 &ndash; Degenerate Dimensions

    - by David Allan
    Ever wondered how to build degenerate dimensions in OWB and get the benefits of slowly changing dimensions and cube loading? Now its possible through some changes in 11gR2 to make the dimension and cube loading much more flexible. This will let you get the benefits of OWB's surrogate key handling and slowly changing dimension reference when loading the fact table and need degenerate dimensions (see Ralph Kimball's degenerate dimensions design tip). Here we will see how to use the cube operator to load slowly changing, regular and degenerate dimensions. The cube and cube operator can now work with dimensions which have no surrogate key as well as dimensions with surrogates, so you can get the benefit of the cube loading and incorporate the degenerate dimension loading. What you need to do is create a dimension in OWB that is purely used for ETL metadata; the dimension itself is never deployed (its table is, but has not data) it has no surrogate keys has a single level with a business attribute the degenerate dimension data and a dummy attribute, say description just to pass the OWB validation. When this degenerate dimension is added into a cube, you will need to configure the fact table created and set the 'Deployable' flag to FALSE for the foreign key generated to the degenerate dimension table. The degenerate dimension reference will then be in the cube operator and used when matching. Create the degenerate dimension using the regular wizard. Delete the Surrogate ID attribute, this is not needed. Define a level name for the dimension member (any name). After the wizard has completed, in the editor delete the hierarchy STANDARD that was automatically generated, there is only a single level, no need for a hierarchy and this shouldn't really be created. Deploy the implementing table DD_ORDERNUMBER_TAB, this needs to be deployed but with no data (the mapping here will do a left outer join of the source data with the empty degenerate dimension table). Now, go ahead and build your cube, use the regular TIMES dimension for example and your degenerate dimension DD_ORDERNUMBER, can add in SCD dimensions etc. Configure the fact table created and set Deployable to false, so the foreign key does not get generated. Can now use the cube in a mapping and load data into the fact table via the cube operator, this will look after surrogate lookups and slowly changing dimension references.   If you generate the SQL you will see the ON clause for matching includes the columns representing the degenerate dimension columns. Here we have seen how this use case for loading fact tables using degenerate dimensions becomes a whole lot simpler using OWB 11gR2. I'm sure there are other use cases where using this mix of dimensions with surrogate and regular identifiers is useful, Fact tables partitioned by date columns is another classic example that this will greatly help and make the cube operator much more useful. Good to hear any comments.

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  • CreationName for SSIS 2008 and adding components programmatically

    If you are building SSIS 2008 packages programmatically and adding data flow components, you will probably need to know the creation name of the component to add. I can never find a handy reference when I need one, hence this rather mundane post. See also CreationName for SSS 2005. We start with a very simple snippet for adding a component: // Add the Data Flow Task package.Executables.Add("STOCK:PipelineTask"); // Get the task host wrapper, and the Data Flow task TaskHost taskHost = package.Executables[0] as TaskHost; MainPipe dataFlowTask = (MainPipe)taskHost.InnerObject; // Add OLE-DB source component - ** This is where we need the creation name ** IDTSComponentMetaData90 componentSource = dataFlowTask.ComponentMetaDataCollection.New(); componentSource.Name = "OLEDBSource"; componentSource.ComponentClassID = "DTSAdapter.OLEDBSource.2"; So as you can see the creation name for a OLE-DB Source is DTSAdapter.OLEDBSource.2. CreationName Reference  ADO NET Destination Microsoft.SqlServer.Dts.Pipeline.ADONETDestination, Microsoft.SqlServer.ADONETDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 ADO NET Source Microsoft.SqlServer.Dts.Pipeline.DataReaderSourceAdapter, Microsoft.SqlServer.ADONETSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Aggregate DTSTransform.Aggregate.2 Audit DTSTransform.Lineage.2 Cache Transform DTSTransform.Cache.1 Character Map DTSTransform.CharacterMap.2 Checksum Konesans.Dts.Pipeline.ChecksumTransform.ChecksumTransform, Konesans.Dts.Pipeline.ChecksumTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Conditional Split DTSTransform.ConditionalSplit.2 Copy Column DTSTransform.CopyMap.2 Data Conversion DTSTransform.DataConvert.2 Data Mining Model Training MSMDPP.PXPipelineProcessDM.2 Data Mining Query MSMDPP.PXPipelineDMQuery.2 DataReader Destination Microsoft.SqlServer.Dts.Pipeline.DataReaderDestinationAdapter, Microsoft.SqlServer.DataReaderDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Derived Column DTSTransform.DerivedColumn.2 Dimension Processing MSMDPP.PXPipelineProcessDimension.2 Excel Destination DTSAdapter.ExcelDestination.2 Excel Source DTSAdapter.ExcelSource.2 Export Column TxFileExtractor.Extractor.2 Flat File Destination DTSAdapter.FlatFileDestination.2 Flat File Source DTSAdapter.FlatFileSource.2 Fuzzy Grouping DTSTransform.GroupDups.2 Fuzzy Lookup DTSTransform.BestMatch.2 Import Column TxFileInserter.Inserter.2 Lookup DTSTransform.Lookup.2 Merge DTSTransform.Merge.2 Merge Join DTSTransform.MergeJoin.2 Multicast DTSTransform.Multicast.2 OLE DB Command DTSTransform.OLEDBCommand.2 OLE DB Destination DTSAdapter.OLEDBDestination.2 OLE DB Source DTSAdapter.OLEDBSource.2 Partition Processing MSMDPP.PXPipelineProcessPartition.2 Percentage Sampling DTSTransform.PctSampling.2 Performance Counters Source DataCollectorTransform.TxPerfCounters.1 Pivot DTSTransform.Pivot.2 Raw File Destination DTSAdapter.RawDestination.2 Raw File Source DTSAdapter.RawSource.2 Recordset Destination DTSAdapter.RecordsetDestination.2 RegexClean Konesans.Dts.Pipeline.RegexClean.RegexClean, Konesans.Dts.Pipeline.RegexClean, Version=2.0.0.0, Culture=neutral, PublicKeyToken=d1abe77e8a21353e Row Count DTSTransform.RowCount.2 Row Count Plus Konesans.Dts.Pipeline.RowCountPlusTransform.RowCountPlusTransform, Konesans.Dts.Pipeline.RowCountPlusTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Number Konesans.Dts.Pipeline.RowNumberTransform.RowNumberTransform, Konesans.Dts.Pipeline.RowNumberTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Sampling DTSTransform.RowSampling.2 Script Component Microsoft.SqlServer.Dts.Pipeline.ScriptComponentHost, Microsoft.SqlServer.TxScript, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Slowly Changing Dimension DTSTransform.SCD.2 Sort DTSTransform.Sort.2 SQL Server Compact Destination Microsoft.SqlServer.Dts.Pipeline.SqlCEDestinationAdapter, Microsoft.SqlServer.SqlCEDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 SQL Server Destination DTSAdapter.SQLServerDestination.2 Term Extraction DTSTransform.TermExtraction.2 Term Lookup DTSTransform.TermLookup.2 Trash Destination Konesans.Dts.Pipeline.TrashDestination.Trash, Konesans.Dts.Pipeline.TrashDestination, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b8351fe7752642cc TxTopQueries DataCollectorTransform.TxTopQueries.1 Union All DTSTransform.UnionAll.2 Unpivot DTSTransform.UnPivot.2 XML Source Microsoft.SqlServer.Dts.Pipeline.XmlSourceAdapter, Microsoft.SqlServer.XmlSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Here is a simple console program that can be used to enumerate the pipeline components installed on your machine, and dumps out a list of all components like that above. You will need to add a reference to the Microsoft.SQLServer.ManagedDTS assembly. using System; using System.Diagnostics; using Microsoft.SqlServer.Dts.Runtime; public class Program { static void Main(string[] args) { Application application = new Application(); PipelineComponentInfos componentInfos = application.PipelineComponentInfos; foreach (PipelineComponentInfo componentInfo in componentInfos) { Debug.WriteLine(componentInfo.Name + "\t" + componentInfo.CreationName); } Console.Read(); } }

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  • Checksum Transformation

    The Checksum Transformation computes a hash value, the checksum, across one or more columns, returning the result in the Checksum output column. The transformation provides functionality similar to the T-SQL CHECKSUM function, but is encapsulated within SQL Server Integration Services, for use within the pipeline without code or a SQL Server connection. As featured in The Microsoft Data Warehouse Toolkit by Joy Mundy and Warren Thornthwaite from the Kimbal Group. Have a look at the book samples especially Sample package for custom SCD handling. All input columns are passed through the transformation unaltered, those selected are used to generate the checksum which is passed out through a single output column, Checksum. This does not restrict the number of columns available downstream from the transformation, as columns will always flow through a transformation. The Checksum output column is in addition to all existing columns within the pipeline buffer. The Checksum Transformation uses an algorithm based on the .Net framework GetHashCode method, it is not consistent with the T-SQL CHECKSUM() or BINARY_CHECKSUM() functions. The transformation does not support the following Integration Services data types, DT_NTEXT, DT_IMAGE and DT_BYTES. ChecksumAlgorithm Property There ChecksumAlgorithm property is defined with an enumeration. It was first added in v1.3.0, when the FrameworkChecksum was added. All previous algorithms are still supported for backward compatibility as ChecksumAlgorithm.Original (0). Original - Orginal checksum function, with known issues around column separators and null columns. This was deprecated in the first SQL Server 2005 RTM release. FrameworkChecksum - The hash function is based on the .NET Framework GetHash method for object types. This is based on the .NET Object.GetHashCode() method, which unfortunately differs between x86 and x64 systems. For that reason we now default to the CRC32 option. CRC32 - Using a standard 32-bit cyclic redundancy check (CRC), this provides a more open implementation. The component is provided as an MSI file, however to complete the installation, you will have to add the transformation to the Visual Studio toolbox by hand. This process has been described in detail in the related FAQ entry for How do I install a task or transform component?, just select Checksum from the SSIS Data Flow Items list in the Choose Toolbox Items window. Downloads The Checksum Transformation is available for SQL Server 2005, SQL Server 2008 (includes R2) and SQL Server 2012. Please choose the version to match your SQL Server version, or you can install multiple versions and use them side by side if you have more than one version of SQL Server installed. Checksum Transformation for SQL Server 2005 Checksum Transformation for SQL Server 2008 Checksum Transformation for SQL Server 2012 Version History SQL Server 2012 Version 3.0.0.27 – SQL Server 2012 release. Includes upgrade support for both 2005 and 2008 packages to 2012. (5 Jun 2010) SQL Server 2008 Version 2.0.0.27 – Fix for CRC-32 algorithm that inadvertently made it sort dependent. Fix for race condition which sometimes lead to the error Item has already been added. Key in dictionary: '79764919' . Fix for upgrade mappings between 2005 and 2008. (19 Oct 2010) Version 2.0.0.24 - SQL Server 2008 release. Introduces the new CRC-32 algorithm, which is consistent across x86 and x64.. The default algorithm is now CRC32. (29 Oct 2008) Version 2.0.0.6 - SQL Server 2008 pre-release. This version was released by mistake as part of the site migration, and had known issues. (20 Oct 2008) SQL Server 2005 Version 1.5.0.43 – Fix for CRC-32 algorithm that inadvertently made it sort dependent. Fix for race condition which sometimes lead to the error Item has already been added. Key in dictionary: '79764919' . (19 Oct 2010) Version 1.5.0.16 - Introduces the new CRC-32 algorithm, which is consistent across x86 and x64. The default algorithm is now CRC32. (20 Oct 2008) Version 1.4.0.0 - Installer refresh only. (22 Dec 2007) Version 1.4.0.0 - Refresh for minor UI enhancements. (5 Mar 2006) Version 1.3.0.0 - SQL Server 2005 RTM. The checksum algorithm has changed to improve cardinality when calculating multiple column checksums. The original algorithm is still available for backward compatibility. Fixed custom UI bug with Output column name not persisting. (10 Nov 2005) Version 1.2.0.1 - SQL Server 2005 IDW 15 June CTP. A user interface is provided, as well as the ability to change the checksum output column name. (29 Aug 2005) Version 1.0.0 - Public Release (Beta). (30 Oct 2004) Screenshot

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  • SSIS - Range lookups

    - by Repieter
      When developing an ETL solution in SSIS we sometimes need to do range lookups in SSIS. Several solutions for this can be found on the internet, but now we have built another solution which I would like to share, since it's pretty easy to implement and the performance is fast.   You can download the sample package to see how it works. Make sure you have the AdventureWorks2008R2 and AdventureWorksDW2008R2 databases installed. (Apologies for the layout of this blog, I don't do this too often :))   To give a little bit more information about the example, this is basically what is does: we load a facttable and do an SCD type 2 lookup operation of the Product dimension. This is done with a script component.   First we query the Data warehouse to create the lookup dataset. The query that is used for that is:   SELECT     [ProductKey]     ,[ProductAlternateKey]     ,[StartDate]     ,ISNULL([EndDate], '9999-01-01') AS EndDate FROM [DimProduct]     The output of this query is stored in a DataTable:     string lookupQuery = @"                         SELECT                             [ProductKey]                             ,[ProductAlternateKey]                             ,[StartDate]                             ,ISNULL([EndDate], '9999-01-01') AS EndDate                         FROM [DimProduct]";           OleDbCommand oleDbCommand = new OleDbCommand(lookupQuery, _oleDbConnection);         OleDbDataAdapter adapter = new OleDbDataAdapter(oleDbCommand);           _dataTable = new DataTable();         adapter.Fill(_dataTable);     Now that the dimension data is stored in the DataTable we use the following method to do the actual lookup:   public int RangeLookup(string businessKey, DateTime lookupDate)     {         // set default return value (Unknown)         int result = -1;           DataRow[] filteredRows;         filteredRows = _dataTable.Select(string.Format("ProductAlternateKey = '{0}'", businessKey));           for (int i = 0; i < filteredRows.Length; i++)         {             // check if the lookupdate is found between the startdate and enddate of any of the records             if (lookupDate >= (DateTime)filteredRows[i][2] && lookupDate < (DateTime)filteredRows[i][3])             {                 result = (filteredRows[i][0] == null) ? -1 : (int)filteredRows[i][0];                 break;             }         }           filteredRows = null;           return result;     }       This method is executed for every row that passes the script component. This is implemented in the ProcessInputRow method   public override void Input0_ProcessInputRow(Input0Buffer Row)     {         // Perform the lookup operation on the current row and put the value in the Surrogate Key Attribute         Row.ProductKey = RangeLookup(Row.ProductNumber, Row.OrderDate);     }   Now what actually happens?!   1. Every record passes the business key and the orderdate to the RangeLookup method. 2. The DataTable is then filtered on the business key of the current record. The output is stored in a DataRow [] object. 3. We loop over the DataRow[] object to see where the orderdate meets the following expression: (lookupDate >= (DateTime)filteredRows[i][2] && lookupDate < (DateTime)filteredRows[i][3]) 4. When the expression returns true (so where the data is between the Startdate and the EndDate), the surrogate key of the dimension record is returned   We have done some testing with this solution and it works great for us. Hope others can use this example to do their range lookups.

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