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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

Parameters: Passing values to packages from outside


Packages need to be configurable from outside. Different environments may need different configuration for executing SSIS packages. Parameters are designed to get values and configuration from outside of package, and their main benefit is that they can be configured after deployment, so there will be no need to compile the package after changing the parameter's values.

Parameters can be used within SSIS packages in expressions or as variables, but don't use them counterproductively. Variables are designed to pass values inside package, and parameters are designed to pass values from outside of package.

SSIS Catalog has the ability to pass parameter values with predefined configuration which is called environment. Environments are designed to add multiple configurations and use them as needed.

In this recipe, we will create a data transfer scenario to log all tables' name and number of rows into a database table. We will create two packages...

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