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  • Book Overview & Buying Mastering PostgreSQL 17
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Mastering PostgreSQL 17

Mastering PostgreSQL 17 - Sixth Edition

By : Hans-Jürgen Schönig
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Mastering PostgreSQL 17

Mastering PostgreSQL 17

1 (1)
By: Hans-Jürgen Schönig

Overview of this book

Starting with new features introduced in PostgreSQL 17, the sixth edition of this book provides comprehensive insights into advanced database management, helping you elevate your PostgreSQL skills to an expert level. Written by Hans-Jürgen Schönig, a PostgreSQL expert with over 25 years of experience and the CEO of CYBERTEC PostgreSQL International GmbH, this guide distills real-world expertise from supporting countless global customers. It guides you through crucial aspects of professional database management, including performance tuning, replication, indexing, and security strategies. You’ll learn how to handle complex queries, optimize execution plans, and enhance user interactions with advanced SQL features such as window functions and JSON support. Hans equips you with practical approaches for managing database locks, transactions, and stored procedures to ensure peak performance. With real-world examples and expert solutions, you'll also explore replication techniques for high availability, along with troubleshooting methods to detect and resolve bottlenecks, preparing you to tackle everyday challenges in database administration. By the end of the book, you'll be ready to deploy, secure, and maintain PostgreSQL databases efficiently in production environments.
Table of Contents (16 chapters)
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Understanding basic locking

In this section, you will learn about basic locking mechanisms. The goal is to understand how locking works in general and how to get simple applications right.

To show you how things work, we will create a simple table. For demonstrative purposes, I will add one row to the table using a simple INSERT command:

test=# CREATE TABLE  t_test (id int);
CREATE TABLE
test=# INSERT INTO t_test VALUES (0);
INSERT 0 1

The first important thing is that tables can be read concurrently. Many users reading the same data at the same time won’t block each other. This allows PostgreSQL to handle thousands of users without any problems.

The question now is what happens if reads and writes occur at the same time? Here is an example. Let’s assume that the table contains one row and id = 0:

Transaction 1

Transaction 2

BEGIN;

...
CONTINUE READING
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