1. Embarquez les services d'intégration SQL Server 2005 Romelard Fabrice D311

2. Presentation MVP ASP.NET since 2003 French communities member GUSS ASP-PHP Codes Sources.NET developer, SQL Server DBA and Sys. Admin Coworkers Ilem SA at Geneva (Suisse)

3. Survey SQL Server ? SQL Server Integration Services ?.NET Developer ?

4. Prerequisites Knowledge of Integration Services Knowledge of Data Flow Functionality Level 300

5. Objectives Introduction to SSIS programming model Learn how to integrate with dynamic metadata Learn how to utilize data cleansing functionality in your apps

6. Integration Services

7. SSIS Terminology Package Tasks Precedence Constraints Connection Managers Containers Data Flow Task Components – Source Adapters, Transformations, Destination Adapters Paths

8. Application Overview Get data from an Excel file Provide fuzzy cleansing for certain text fields FirstName, LastName Save cleaned data in another Excel file Look at finished application first, then go through several iterations to build it

9. Application

10. SSIS is embeddable SQL Server uses SSIS SMO Maintenance Plans Other (non SQL) products in development are using SSIS Writing your own UI is possible SSIS designer, Management Studio, Import/Export Wizard, Migration Wizard Uses no secret APIs  Enumerating/adding/removing/changing/listening/scheduling/… Considering releasing Migration Wizard in Shared Source Digital signing enables tamper resistance Several customers doing metadata driven package development

11. Pipeline Metadata Pipeline engine requires static metadata Early design decision Buffers laid out during pre execute  Strict data types  Cannot map columns during execution Designer debugging expects design time metadata at execution time Configured (dynamic) queries must resolve to design time metadata at runtime

12. Dynamic Metadata Scenarios Source schema changes/not known until execution Metadata driven ETL processes Handling dynamic metadata Generate data flows dynamically

13. Creating Packages

14. From scratch through object model Create all package elements from scratch Fast, small, efficient Harder to evolve the application From template package Adjust only what needs adjusting after loading the template package Need to embed potentially large template file Easier to evolve the application Digital signing detects user changes

15. Components Terminology Component Input  Input Columns (Only data referenced by component)  Virtual Input Columns (All available data produced by upstream components – used at design time for selecting input columns)  External Metadata Columns (Schema snapshot) Output  Output Columns (Produced data)  External Metadata Columns (Schema snapshot) LineageID uniquely identifies a column Every output column gets a new Lineage ID Column Mapping Sources: ExternalColumn OutputColumn Transforms: InputColumn OutputColumn Destinations: InputColumn ExternalColumn

16. Pipeline Programming Model ComponentMetadata Provided for all components by the engine automatically Manages metadata and persistence for the component Contact information for unregistered components Helps delay creation of components until necessary Runtime Connection Collection Connection managers used by the component ComponentMetaData Inputs Outputs Component RCC

17. Configuring Data Flows

18. Using Fuzzy transforms

19. SSIS As A Source ETL processes typically encode complex business rules Reuse is important One version of the truth Updates in one place Leverage advantages of SSIS: scalability, manageability, visual building of complex processes, etc.

20. SSIS Source Implementation Implements IDbConnection ConnectionString is the command line args to dtexec.exe Command CommandText is the name of the DataReaderDest component in package ExecuteReader runs the package when asked for data, returns IDataReader Supports SchemaOnly also DataReaderDest implements IDataReader Gets the first buffer and waits for data request Microsoft.SqlServer.Dts.DtsClient Data Reader Destination Component

21. Putting it together

22. Summary Programming SSIS is straightforward Several embedding options exist SSIS can handle flexible metadata SSIS provides rich functionality and high performance

23. Resources Samples installed by setup Community site, run by MVPs http://www.sqlis.com http://www.guss.fr Interact with product team on MSDN Forums http://forums.microsoft.com/msdn/ShowForum.aspx?F orumID=80 Webcasts, training, blog links, books, … http://msdn.microsoft.com/SQL/sqlwarehouse/SSIS/d efault.aspx NewsGroups SQL Server

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