Book Image

Learn PostgreSQL - Second Edition

By : Luca Ferrari, Enrico Pirozzi
1 (2)
Book Image

Learn PostgreSQL - Second Edition

1 (2)
By: Luca Ferrari, Enrico Pirozzi

Overview of this book

The latest edition of this PostgreSQL book will help you to start using PostgreSQL from absolute scratch, helping you to quickly understand the internal workings of the database. With a structured approach and practical examples, go on a journey that covers the basics, from SQL statements and how to run server-side programs, to configuring, managing, securing, and optimizing database performance. This new edition will not only help you get to grips with all the recent changes within the PostgreSQL ecosystem but will also dig deeper into concepts like partitioning and replication with a fresh set of examples. The book is also equipped with Docker images for each chapter which makes the learning experience faster and easier. Starting with the absolute basics of databases, the book sails through to advanced concepts like window functions, logging, auditing, extending the database, configuration, partitioning, and replication. It will also help you seamlessly migrate your existing database system to PostgreSQL and contains a dedicated chapter on disaster recovery. Each chapter ends with practice questions to test your learning at regular intervals. By the end of this book, you will be able to install, configure, manage, and develop applications against a PostgreSQL database.
Table of Contents (22 chapters)
20
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Index

Verify your knowledge

  • If myfield is a varchar(200) field of a mytable table, will the statement create index on mytable(myfield) improve the query with a where condition like foo%?

    No, the statement above will not improve the query with a where condition like ‘foo%'; to make it possible, we have to use create index on mytable using btree(my field varchar_pattern_ops);. See the Exploring the pg_trgm extension section for more details.

  • Is it possible to use indexes and all kinds of like and ilike queries?

    Yes, it’s possible using pg_trgm. See the Exploring the pg_trgm extension section for more details.

  • What is point-in-time recovery (PITR)?

    Given retention, point-in-time recovery is the ability to restore to any point in the past. See the Disaster recovery with pgbackrest section for more details.

  • Does PostgreSQL have a tool that can help us to manage continuous backups and point-in-time...