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Mastering SQL Server 2017

You're reading from   Mastering SQL Server 2017 Build smart and efficient database applications for your organization with SQL Server 2017

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Product type Course
Published in Aug 2019
Publisher Packt
ISBN-13 9781838983208
Length 696 pages
Edition 1st Edition
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Authors (4):
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Miloš Radivojević Miloš Radivojević
Author Profile Icon Miloš Radivojević
Miloš Radivojević
William Durkin William Durkin
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William Durkin
Christian Cote Christian Cote
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Christian Cote
Matija Lah Matija Lah
Author Profile Icon Matija Lah
Matija Lah
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Table of Contents (20) Chapters Close

Title Page
Copyright Contributors About Packt Preface 1. Introduction to SQL Server 2017 FREE CHAPTER 2. SQL Server Tools 3. JSON Support in SQL Server 4. Stretch Database 5. Temporal Tables 6. Columnstore Indexes 7. SSIS Setup 8. What Is New in SSIS 2016 9. Key Components of a Modern ETL Solution 10. Dealing with Data Quality 11. Unleash the Power of SSIS Script Task and Component 12. On-Premises and Azure Big Data Integration 13. Extending SSIS Custom Tasks and Transformations 14. Scale Out with SSIS 2017 1. Other Books You May Enjoy

Retrieving SQL Server data in JSON format

This section explores JSON support in SQL Server with a very common action: formatting tabular data as JSON. In SQL Server 2017, the clause FOR JSON can be used with the SELECT statement to accomplish this. It is analogous to formatting relational data as XML by using the FOR XML extension.

When you use the FOR JSON clause, you can choose between two modes:

  • FOR JSON AUTO: The JSON output will be formatted by the structure of the SELECT statement automatically.
  • FOR JSON PATH: The JSON output will be formatted by the structure explicitly defined by you. With JSON PATH, you can create a more complex output (nested objects and properties).

In both modes, SQL Server extracts relational data defined by the SELECT statement, converts SQL Server data types to appropriate JSON types, implements escaping rules, and finally formats the output according...

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