Book Image

Learn PostgreSQL

By : Luca Ferrari, Enrico Pirozzi
Book Image

Learn PostgreSQL

By: Luca Ferrari, Enrico Pirozzi

Overview of this book

PostgreSQL is one of the fastest-growing open source object-relational database management systems (DBMS) in the world. As well as being easy to use, it’s scalable and highly efficient. In this book, you’ll explore PostgreSQL 12 and 13 and learn how to build database solutions using it. Complete with hands-on tutorials, this guide will teach you how to achieve the right database design required for a reliable environment. You'll learn how to install and configure a PostgreSQL server and even manage users and connections. The book then progresses to key concepts of relational databases, before taking you through the Data Definition Language (DDL) and commonly used DDL commands. To build on your skills, you’ll understand how to interact with the live cluster, create database objects, and use tools to connect to the live cluster. You’ll then get to grips with creating tables, building indexes, and designing your database schema. Later, you'll explore the Data Manipulation Language (DML) and server-side programming capabilities of PostgreSQL using PL/pgSQL, before learning how to monitor, test, and troubleshoot your database application to ensure high-performance and reliability. By the end of this book, you'll be well-versed with the Postgres database and be able to set up your own PostgreSQL instance and use it to build robust solutions.
Table of Contents (27 chapters)
1
Section 1: Getting Started
5
Section 2: Interacting with the Database
12
Section 3: Administering the Cluster
20
Section 4: Replication
23
Section 5: The PostegreSQL Ecosystem

Summary

PostgreSQL provides very rich features for creating and managing indexes, both single column-based or multi-column-based, as well as multiple types of indexes that can be built.

Thanks to the EXPLAIN command, a database administrator can inspect a slow query and see how the optimizer has thought about what the best access to the underlying data is, and thanks to an understanding of how PostgreSQL works, the administrator can decide which indexes to create in order to tune the performances.

PostgreSQL also provides a rich set of statistics that is used to both extract the quality and the quantity of data within every table, therefore being able to generate an execution plan, and to monitor which indexes are used and when. Auto-explain is another useful module that can be used to silently monitor slow queries and execution plans and see how the cluster is performing without any need to manually execute every suspect statement.

It is important to emphasize that performance tuning...