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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

Foreach Loop Container: looping through result set of a database query


Foreach Loop Container is one of the two loop structures in the SSIS Control Flow, and it can be said strongly that this is the most useful. The Foreach Loop provides a method of looping through seven different types of enumerators and can loop through different types of collections. Collection types vary from files in a folder to nodes in xml data or records in a database table.

In this recipe, we will take a closer look at the ADO enumerator and one of the most useful real world scenarios of using this container.

Suppose that we want to loop through different SQL Server database servers, each server having a different server name and different database name. We read list of all tables with their schema from each database. We want to use a single Data Flow to extract data from an OLE DB Source and load it into an Excel destination, and we need to run this Data Flow for each server and append all the data from all servers...

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