Book Image

Learning PostgreSQL 11 - Third Edition

By : Salahaldin Juba, Andrey Volkov
Book Image

Learning PostgreSQL 11 - Third Edition

By: Salahaldin Juba, Andrey Volkov

Overview of this book

PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions.
Table of Contents (18 chapters)

Summary

PostgreSQL provides several locking mechanisms to increase concurrency and performance, including implicit locking via MVCC, and explicit locking via table-level locks, row-level locks, and advisory locks.

The MVCC model is one of the biggest selling factors of PostgreSQL, since high performance can be achieved. In general, the MVCC model is suitable for most common database access patterns, and it is better to use the MVCC model instead of explicit locking where possible.

Using explicit locking via table-level or row-level locks enables the user to solve several data inconsistency issues. However, explicit locking, if not planned carefully, might increase the chances of having deadlocks. Finally, PostgreSQL provides advisory locks, which are used to emulate pessimistic locking strategies.

The next chapter covers the concepts of authentication and authorization. It describes...