Book Image

SQL Server on Linux

Book Image

SQL Server on Linux

Overview of this book

Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud. This book is your handy guide to setting up and implementing your SQL Server solution on the open source Linux platform. You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions. Then you will brush up your SQL Server skills by creating and querying database objects and implementing basic administration tasks to support business continuity, including security and performance optimization. This book will also take you beyond the basics and highlight some advanced topics such as in-memory OLTP and temporal tables. By the end of this book, you will be able to recognize and utilize the full potential of setting up an efficient SQL Server database solution in your Linux environment.
Table of Contents (19 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Indexing concepts


Imagine a small book of 100 pages. Let's say that this hypothetical book is about the SQL language. Your only navigation through the book is via the Table of Contents (TOC) with page numbers. Now, imagine that you need to find where the word DDL is mentioned in the book. The TOC is useless. You can find a chapter about DDL commands, if it exists, but there is no guarantee that DDL is not mentioned anywhere else. You have to conclude that the only way to find all DDL words is by reading all 100 pages, page by page.

Now, let's imagine the same book with an Index of Terms. It means you will have all the book's related words in some order (for example, ascending) with the number of the page(s) where that word is positioned in the book. In our example, let's say that DDL is mentioned on pages 33, 56, and 78 of the book. Now there is no need to read each page; you can look at the index and quickly locate the required data.

The same concept is applied in the database world. Tables...