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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21
Index

Summary

PostgreSQL exploits MVCC to provide high concurrent access to underlying data, and this means that every transaction perceives a snapshot of the data while the system keeps different versions of the same tuples. Sooner or later, invalid tuples will be removed, and storage space will be reclaimed. On one hand, MVCC provides better concurrency, but on the other hand, it requires extra effort to reclaim the storage space once transactions no longer reference dead tuples. PostgreSQL provides VACUUM for this aim and also has a background process machinery, named autovacuum, to periodically and non-invasively keep a system clean and healthy.

In order to improve I/O and reliability, PostgreSQL stores data in a journal written sequentially, the WAL. The WAL is split into segments, and at particular time intervals, named checkpoints, all the dirty data in memory is forced to a specified position in the storage, and the WAL segments are recycled.

In this chapter, you have learned...