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SQL Server 2017 Integration Services Cookbook

You're reading from   SQL Server 2017 Integration Services Cookbook Powerful ETL techniques to load and transform data from almost any source

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781786461827
Length 558 pages
Edition 1st Edition
Languages
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Authors (6):
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Matija Lah Matija Lah
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Matija Lah
Christo Olivier Christo Olivier
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Christo Olivier
Christian Cote Christian Cote
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Christian Cote
Dejan Sarka Dejan Sarka
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Dejan Sarka
David Peter Hansen David Peter Hansen
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David Peter Hansen
Samuel Lester Samuel Lester
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Samuel Lester
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Toc

Table of Contents (12) Chapters Close

Preface 1. SSIS Setup FREE CHAPTER 2. What Is New in SSIS 2016 3. Key Components of a Modern ETL Solution 4. Data Warehouse Loading Techniques 5. Dealing with Data Quality 6. SSIS Performance and Scalability 7. Unleash the Power of SSIS Script Task and Component 8. SSIS and Advanced Analytics 9. On-Premises and Azure Big Data Integration 10. Extending SSIS Custom Tasks and Transformations 11. Scale Out with SSIS 2017

Using lookup expressions


To take advantage of the full cache mode in Lookup transformations, but only retrieve a subset of reference rows, you can supply the lookup query at run time. Certain properties of the data flow task can be modified at run time using expressions; the query used in a Lookup transformation is one such property.

In this recipe, you are going to dynamically determine the query restrictions and prepare the reference query in each iteration of the Foreach loop container processing the input files.

How to do it...

  1. Make sure that the AdventureWorksETL.sln solution is open in SSDT, and that the LookupExpression.dtsx package is active in the control flow designer. The solution is located in the C:\SSIS2016Cookbook\Chapter06\Starter\AdventureWorksETL\ folder.
  2. Create three new package variables using the following information; the Variables window can be opened by selecting Variables in the SSIS menu when an SSIS package is active in the control flow designer:

Name

Data type...

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