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ETL with Azure Cookbook

You're reading from   ETL with Azure Cookbook Practical recipes for building modern ETL solutions to load and transform data from any source

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781800203310
Length 446 pages
Edition 1st Edition
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Authors (3):
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Christian Cote Christian Cote
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Christian Cote
Matija Lah Matija Lah
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Matija Lah
Madina Saitakhmetova Madina Saitakhmetova
Author Profile Icon Madina Saitakhmetova
Madina Saitakhmetova
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Azure and SSIS 2019 2. Chapter 2: Introducing ETL FREE CHAPTER 3. Chapter 3: Creating and Using SQL Server 2019 Big Data Clusters 4. Chapter 4: Azure Data Integration 5. Chapter 5: Extending SSIS with Custom Tasks and Transformations 6. Chapter 6: Azure Data Factory 7. Chapter 7: Azure Databricks 8. Chapter 8: SSIS Migration Strategies 9. Chapter 9: Profiling data in Azure 10. Chapter 10: Manage SSIS and Azure Data Factory with Biml 11. Other Books You May Enjoy

Generating T-SQL to drop and create all indexes

In this second recipe, we will demonstrate another Biml metadata-based superpower. Sometimes you will need to drop all your table indexes and then recreate them. Instead of doing it through dynamic SQL, you can do it faster with Biml, because it gives you complete SQL statements. Let's generate SQL statements to drop and create indexes for each table.

Getting ready

Open Visual Studio 2019, and then open the ETLInAzure SSIS project.

Just think of a name for your second BimlScript file. Let's be original and call it Recipe2.Biml.

How to do it…

Let's add a new BimlScript file for this recipe.

  1. Add a new BimlScript file to your solution. Rename it to Recipe2.biml. It should contain only opening and closing Biml tags.
  2. Add the following code between Biml tags to configure a database connection and get the metadata of the database using the GetDatabaseSchema() method:
    <# var sourceConnection...
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