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

New query hints


The SQL Server Query Optimizer does an amazing job of execution plan generation. Most of the time, for most queries, it generates an optimal execution plan. And this is not easy at all. There is a lot of potential to get a suboptimal plan: wrong server configuration, poorly designed databases, missing and suboptimal indexes, suboptimal written queries, nonscalable solutions, and so on. And the query optimizer should work for all those workloads, all over the world, all the time.

Depending on data constellation, it generates suboptimal execution plans sometimes. If the execution of the queries is very important from a business point of view, you have to do something to try to achieve at least an acceptable execution plan. One of the weapons you have for this is hints to the query optimizer. With hints, which are actually instructions, you instruct the query optimizer how to generate the execution plan. You take responsibility or you take part of the responsibility for the execution...