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

In-Memory OLTP architecture


In-Memory OLTP is the name of the optimistic concurrency model implementation offered from SQL Server 2014 onwards. The challenge that In-Memory OLTP is designed to solve is the ability to process massively concurrent transaction workloads, while removing the logical limitations of the pessimistic concurrency model present in the traditional transaction processing engine in SQL Server. Microsoft also wanted to introduce In-Memory OLTP as an additional transaction processing engine and not as a replacement for the standard transaction processing engine. This decision was made to ensure that existing applications running on SQL Server would be compatible with newer SQL Server versions, but offer the ability to allow newer applications to take advantage of the new engine without separating the two systems.

In this section, we will take a look at the architecture of the In-Memory OLTP engine and see how data is stored and processed.

Row and index storage

The first major...