Book Image

SQL Server 2017 Developer's Guide

Book Image

SQL Server 2017 Developer's Guide

Overview of this book

Microsoft SQL Server 2017 is a milestone in Microsoft's data platform timeline, as it brings in the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. This book prepares you for advanced topics by starting with a quick introduction to SQL Server 2017's new features. Then, it introduces you to enhancements in the Transact-SQL language and new database engine capabilities before switching to a different technology: JSON support. You will take a look at the security enhancements and temporal tables. Furthermore, the book focuses on implementing advanced topics, including Query Store, columnstore indexes, and In-Memory OLTP. Toward the end of the book, you'll be introduced to R and how to use the R language with Transact-SQL for data exploration and analysis. You'll also learn to integrate Python code into SQL Server and graph database implementations as well as the deployment options on Linux and SQL Server in containers for development and testing. By the end of this book, you will be armed to design efficient, high-performance database applications without any hassle.
Table of Contents (25 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Free Chapter
1
Introduction to SQL Server 2017
Index

Querying stretch databases


When you query a stretch database, the SQL Server Database Engine runs the query against the local or remote database depending on data location. This is completely transparent to the database user. When you run a query that returns both local and remote data, you can see the Remote Query operator in the execution plan. The following query returns all rows from the stretch T1 table:

USE Mila; 
SELECT * FROM dbo.T1; 

As expected, it returns five rows:

id          c1                   c2----------- -------------------- -----------------------2           Manchester United    2018-02-02 00:00:00.000
4           Juventus Torino      2018-02-25 00:00:00.000
5           Red Star Belgrade    2018-02-25 00:00:00.000
1           Benfica Lisbon       2018-01-15 00:00:00.000
3           Rapid Vienna         2018-01-28 00:00:00.000

You are surely much more interested in how the execution plan looks:

Execution plan for query with stretch tables

You can see that the Remote Query operator...