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SQL Server 2017 Developer???s Guide

You're reading from  SQL Server 2017 Developer???s Guide

Product type Book
Published in Mar 2018
Publisher Packt
ISBN-13 9781788476195
Pages 816 pages
Edition 1st Edition
Languages

Table of Contents (25) Chapters

Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
1. Introduction to SQL Server 2017 2. Review of SQL Server Features for Developers 3. SQL Server Tools 4. Transact-SQL and Database Engine Enhancements 5. JSON Support in SQL Server 6. Stretch Database 7. Temporal Tables 8. Tightening Security 9. Query Store 10. Columnstore Indexes 11. Introducing SQL Server In-Memory OLTP 12. In-Memory OLTP Improvements in SQL Server 2017 13. Supporting R in SQL Server 14. Data Exploration and Predictive Modeling with R 15. Introducing Python 16. Graph Database 17. Containers and SQL on Linux 1. Other Books You May Enjoy Index

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 to explicitly or implicitly defined formatting rules.

FOR JSON AUTO

Use FOR JSON AUTO when you want to let SQL Server...

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