Book Image

Mastering PostgreSQL 9.6

By : Hans-Jürgen Schönig
Book Image

Mastering PostgreSQL 9.6

By: Hans-Jürgen Schönig

Overview of this book

PostgreSQL is an open source database used for handling large datasets (Big Data) and as a JSON document database. It also has applications in the software and web domains. This book will enable you to build better PostgreSQL applications and administer databases more efficiently. We begin by explaining the advanced database design concepts in PostgreSQL 9.6, along with indexing and query optimization. You will also see how to work with event triggers and perform concurrent transactions and table partitioning, along with exploring SQL and server tuning. We will walk you through implementing advanced administrative tasks such as server maintenance and monitoring, replication, recovery and high availability, and much more. You will understand the common and not-so-common troubleshooting problems and how you can overcome them. By the end of this book, you will have an expert-level command of the advanced database functionalities and will be able to implement advanced administrative tasks with PostgreSQL.
Table of Contents (14 chapters)
Free Chapter
1
PostgreSQL Overview

Adjusting parameters for good query performance

Writing good queries is the first step to reaching good performance. Without a good query, you will most likely suffer from bad performance. Writing good and intelligent code will therefore give you the greatest edge possible. Once your queries have been optimized from a logical and semantical point of view, good memory settings can provide you with a final nice speedup. In this section, you will learn what more memory can do for you and how PostgreSQL can use it for your benefit.

To demonstrate things, I have compiled a simple example:

test=# CREATE TABLE t_test (id serial, name text); 
CREATE TABLE
test=# INSERT INTO t_test (name) SELECT 'hans'
FROM generate_series(1, 100000);
INSERT 0 100000
test=# INSERT INTO t_test (name) SELECT 'paul'
FROM generate_series(1, 100000);
INSERT 0 100000

1 million rows containing hans will be added to...