Book Image

SQL Server 2016 Developer's Guide

By : Miloš Radivojević, Dejan Sarka, William Durkin
Book Image

SQL Server 2016 Developer's Guide

By: Miloš Radivojević, Dejan Sarka, William Durkin

Overview of this book

Microsoft SQL Server 2016 is considered the biggest leap in the data platform history of the Microsoft, in the ongoing era of Big Data and data science. This book introduces you to the new features of SQL Server 2016 that will open a completely new set of possibilities for you as a developer. It prepares you for the more advanced topics by starting with a quick introduction to SQL Server 2016's new features and a recapitulation of the possibilities you may have already explored with previous versions of SQL Server. The next part introduces you to small delights in the Transact-SQL language and then switches to a completely new technology inside SQL Server - JSON support. We also take a look at the Stretch database, security enhancements, and temporal tables. The last chapters concentrate on implementing advanced topics, including Query Store, column store indexes, and In-Memory OLTP. You will finally be introduced to R and learn how to use the R language with Transact-SQL for data exploration and analysis. By the end of this book, you will have the required information to design efficient, high-performance database applications without any hassle.
Table of Contents (21 chapters)
SQL Server 2016 Developer's Guide
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
12
In-Memory OLTP Improvements in SQL Server 2016

Columnar storage and batch processing


Various researchers started to think about columnar storage already in the 80's. The main idea is that a relational database management system (RDBMS) does not need to store the data in exactly the same way we understand it and work with it. In a relational model, a tuple represents an entity and is stored as a row of a table, which is an entity set. Traditionally, database management systems store entities row by row. However, as long as we get rows back to the client application, we do not care how an RDBMS stores the data.

This is actually one of the main premises of the relational model—we work with data on the logical level, which is independent of the physical level of the physical storage. However, it was not until approximately the year 2000 when the first attempts to create columnar storage came to life. SQL Server added columnar storage first in version 2012.

Columnar storage is highly compressed. Higher compression means more CPU usage because...