PostgreSQL 18 Deep Reference Manual Volume 1: Theory, Internals, and Practical Engineering Applications (intelligent Systems Engineering Library) - Softcover

Book 7 of 9: intelligent Systems Engineering Library

Heller, Dion M.

9798183680072: PostgreSQL 18 Deep Reference Manual Volume 1: Theory, Internals, and Practical Engineering Applications (intelligent Systems Engineering Library)

Softcover

ISBN 13: 9798183680072

Publisher: Independently published, 2026

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Are you tired of database documentation that explains what a command does but never tells you why it works that way? Have you ever hit a wall trying to understand why your queries slow down at scale, why autovacuum seems to fall behind, or why a replication setup that worked in testing falls apart in production?

This book was written for engineers who are done with surface-level tutorials.

PostgreSQL 18 Deep Reference Manual is a complete, no-filler technical reference covering the architecture, internals, and real-world engineering practices behind modern PostgreSQL. Across 24 chapters, it walks through the database engine from the inside out: process architecture, memory management, MVCC and transaction internals, write-ahead logging, storage layout, indexing theory, and query planning, all explained with the kind of depth that lets you reason about behavior instead of memorizing commands.

But this is not a theory-only book. It is built for people who run PostgreSQL in production.

You will find detailed, practical coverage of replication and high availability, partitioning strategy, stored procedures and server-side programming, extension development, performance engineering, backup and disaster recovery, security hardening, and operational practices for running PostgreSQL at scale. Newer capabilities introduced in PostgreSQL 18 are covered in depth, including native incremental backup, completed SQL/JSON functionality, virtual generated columns, asynchronous I/O architecture, and authentication enhancements.

Modern workloads get dedicated attention too. There are full chapters on vector search and embedding storage for AI and machine learning applications, analytical and hybrid OLAP patterns, distributed PostgreSQL architectures, and the consensus mechanisms that keep clustered deployments consistent.

For engineers who want to go further, there is a complete section on PostgreSQL internals for extension and core development: executor internals, custom access methods, background workers, hooks, and the process for contributing to the project itself.

Every chapter is written as a serious technical reference, not a casual walkthrough. Code examples are labeled by language and grounded in real engineering scenarios rather than toy demonstrations. The back matter includes a full system catalog reference, a complete configuration parameter index, a wait event reference, an error code guide, a glossary of essential terms, and dozens of diagnostic queries DBAs actually use.

So who is this book for? If you are a backend engineer, database administrator, site reliability engineer, or anyone responsible for keeping a PostgreSQL system fast, available, and secure, this manual is built to sit beside you at your desk, not collect dust on a shelf.

Whether you are troubleshooting a production incident at 2 a.m. or designing a new system from scratch, this is the reference that explains the reasoning behind the behavior, not just the syntax.

If you have ever wanted a single resource that respects your time and your intelligence, this is it.

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