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Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

You're reading from   Microsoft SQL Server 2012 Integration Services: An Expert Cookbook Over 80 expert recipes to design, create, and deploy SSIS packages with this book and ebook

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Product type Paperback
Published in May 2012
Publisher Packt
ISBN-13 9781849685245
Length 564 pages
Edition 1st Edition
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Table of Contents (23) Chapters Close

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook
Credits
Foreword
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with SQL Server Integration Services 2. Control Flow Tasks FREE CHAPTER 3. Data Flow Task Part 1—Extract and Load 4. Data Flow Task Part 2—Transformations 5. Data Flow Task Part 3—Advanced Transformation 6. Variables, Expressions, and Dynamism in SSIS 7. Containers and Precedence Constraints 8. Scripting 9. Deployment 10. Debugging, Troubleshooting, and Migrating Packages to 2012 11. Event Handling and Logging 12. Execution 13. Restartability and Robustness 14. Programming SSIS 15. Performance Boost in SSIS Index

Aggregate Transform: aggregating the data stream


Aggregate Transform provides a way to group data by column(s) and apply aggregation functions on them.

In this recipe we will fetch each Sales Person according to the start and end date of sales and the sum of their sales quota by resorting to an Aggregate Transform.

How to do it...

  1. Create a new Integration Services project and name it R03_Aggregate.

  2. Add a Data Flow Task and in the Data Flow tab add an OLE DB Source and then create a connection to the AdventureWorks2012 sample database. Set the data access mode to SQL Command and enter the following T-SQL code in the SQL Command field:

    SELECT SLHST.QuotaDate, SLHST.SalesQuota, 
      PER.FirstName, PER.LastName 
    FROM Sales.SalesPersonQuotaHistory SLHST 
     INNER JOIN Person.Person PER 
     ON SLHST.BusinessEntityID = PER.BusinessEntityID
  3. Click on Preview and check the structure of your data.

  4. Drag-and-drop an Aggregate Transform right after the OLE DB Source and connect the Data Path to the aggregate transformation...

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