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Mastering PostgreSQL 15

Mastering PostgreSQL 15

By : Hans-Jürgen Schönig
4.9 (7)
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Mastering PostgreSQL 15

Mastering PostgreSQL 15

4.9 (7)
By: Hans-Jürgen Schönig

Overview of this book

Starting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system. You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, and user management to manage and maintain your database. You'll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. Among the other skills that the book will help you build, you’ll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases. By the end of this PostgreSQL book, you’ll be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.
Table of Contents (16 chapters)
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Understanding simple queries and the cost model

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

test=# DROP TABLE IF EXISTS t_test;
 DROP TABLE
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; the first is an auto-increment column that continually creates numbers, and the second is a column that will be filled with static values.

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

All in all, 4 million...

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