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

Data durability concerns


Now that we have a better understanding of how data moves inside a memory-optimized table, we need to also dive a little deeper into the durability of memory-optimized tables. Earlier in the chapter, we saw that we can choose between SCHEMA_AND_DATA or SCHEMA_ONLY for durability of these objects. The succinct description for SCHEMA_ONLY durability is that any data (or changes) inside a memory-optimized table that has SCHEMA_ONLY durability, will be lost when the server restarts. The reason for the server restart is irrelevant; when the server is brought back online, the table (and any associated indexes) is recreated and will be empty.

The SCHEMA_AND_DATA option informs SQL Server that you wish the data inside the memory-optimized table to be permanently stored on non-volatile storage. This will ensure that the data is available even after a server restart. This initially sounds like it would be a problem for a high-performance data processing system, especially when...