Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Learning PostgreSQL 11
  • Toc
  • feedback
Learning PostgreSQL 11

Learning PostgreSQL 11

By : Christopher Travers, Volkov
2.7 (6)
close
Learning PostgreSQL 11

Learning PostgreSQL 11

2.7 (6)
By: Christopher Travers, Volkov

Overview of this book

PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions.
Table of Contents (18 chapters)
close

Index-only scans

Indexes have already been described in Chapter 4, PostgreSQL Advanced Building Blocks. Simply speaking, indexes work like a glossary at the end of a book. When searching for a keyword in a book, to make it faster, you can look it up in the glossary and then go to the page specified. The glossary is alphabetically organized; that's why searching in it is fast.

Moreover, when you need to find out whether a keyword is present in the book, you don't have to go to the page just looking in the glossary is enough.

PostgreSQL can do the same. If all the information that is needed for a query is contained in an index, the database won't perform the scan on the table data and will only use the index. This is called an index-only scan.

To demonstrate how it works, let's create an index for the dwh.access_log_not_partitioned table, as follows...

bookmark search playlist font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete