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

Creating memory-optimized tables and indexes


Now that we have looked at the theory behind the storage of memory-optimized tables, we want to get to the real fun and create some of these objects.

Laying the foundation

Before we can start creating our memory-optimized objects, we need to create a database with a FILEGROUP designed for memory-optimized objects. This can be achieved as follows:

CREATE DATABASE InMemoryTest 
    ON  
    PRIMARY(NAME = [InMemoryTest_disk],  
               FILENAME = 'C:tempInMemoryTest_disk.mdf', size=100MB),  
    FILEGROUP [InMemoryTest_inmem] CONTAINS MEMORY_OPTIMIZED_DATA 
               (NAME = [InMemoryTest_inmem],  
               FILENAME = 'C:tempInMemoryTest_inmem') 
   LOG ON (name = [InMemoryTest_log], Filename='c:tempInMemoryTest_log.ldf', size=100MB) 
   COLLATE Latin1_General_100_BIN2;  

The first main thing to note is that we have a separate FILEGROUP dedicated to the memory-optimized objects, with the keyword CONTAINS MEMORY_OPTIMIZED_DATA. This...