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  • Book Overview & Buying Mastering PostgreSQL 11
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Mastering PostgreSQL 11

Mastering PostgreSQL 11 - Second Edition

By : Hans-Jürgen Schönig
4.1 (7)
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Mastering PostgreSQL 11

Mastering PostgreSQL 11

4.1 (7)
By: Hans-Jürgen Schönig

Overview of this book

This second edition of Mastering PostgreSQL 11 helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both the physical and technical aspects of the system architecture with ease. This book begins with an introduction to the newly released features in PostgreSQL 11 to help you build efficient and fault-tolerant PostgreSQL applications. You’ll examine all of the advanced aspects of PostgreSQL in detail, including logical replication, database clusters, performance tuning, monitoring, and user management. You will also work with the PostgreSQL optimizer, configuring PostgreSQL for high speed, and see how to move from Oracle to PostgreSQL. As you progress through the chapters, you will cover transactions, locking, indexes, and optimizing queries to improve performance. Additionally, you’ll learn to manage network security and explore backups and replications, while understanding the useful extensions of PostgreSQL so that you can optimize the speed and performance of large databases. By the end of this book, you will be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.
Table of Contents (15 chapters)
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1
PostgreSQL Overview

Learning what the optimizer does

Before even attempting to think about query performance, it makes sense to familiarize yourself with what the query optimizer does. Having a deeper understanding of what is going on under the hood makes a lot of sense because it helps you see what the database is really up to and what it is doing.

Optimizations by example

To demonstrate how the optimizer works, I have compiled an example. It is something that has been used by me over the years for PostgreSQL training. Let's assume that there are three tables, as follows:

CREATE TABLE a (aid int, ...);         -- 100 million rows
CREATE TABLE b (bid int, ...);         -- 200 million rows 
CREATE TABLE c (cid int, ...);         -- 300 million...
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