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

Understanding simple queries and the cost model

In this section, we will get started with indexes. To show how things work, some test data is needed. The following code snippet shows how data can be created easily:

test=# CREATE TABLE t_test (id serial, name text); 
CREATE TABLE
test=# INSERT INTO t_test (name) SELECT 'hans'
FROM generate_series(1, 2000000);
INSERT 0 2000000
test=# INSERT INTO t_test (name) SELECT 'paul'
FROM generate_series(1, 2000000);
INSERT 0 2000000

In the first line, a simple table is created. Two columns are used: an auto increment column, which just keeps creating numbers, and a column that will be filled with static values.

The generate_series function will generate numbers from 1 million to 2 million. So in this example, 2 million static values for hans and 2 million static values for paul are created.

In all, 4 million rows have been added:

test=# SELECT name...