Book Summary This book provides an in-depth, practical guide to mastering PostgreSQL 17 for real-world applications. It covers the design of high-performance schemas, query optimization, and advanced indexing strategies. Readers will explore zero-downtime operations, replication architectures, rolling upgrades, and modern AI-ready features like vector search and hybrid retrieval systems. Through comprehensive explanations, real-world examples, and hands-on exercises, the book equips you to harness PostgreSQL 17 to its fullest potential.
What this book covers You will find detailed guidance on designing efficient database schemas, managing constraints, and handling semi-structured data with JSONB and hstore. The book explores the PostgreSQL process model, background workers, WAL internals, and configuration best practices. Advanced topics include query diagnostics with EXPLAIN and ANALYZE, join algorithms, caching, parallel query execution, and anti-patterns to avoid. You’ll also learn to extend PostgreSQL using C and Rust extensions, integrate with AI frameworks like LangChain and Hugging Face, and implement scalable deployment strategies using containers, Terraform, Ansible, and PgBouncer.
Target Audience This book is for developers, data engineers, system architects, and database administrators who seek to advance their PostgreSQL expertise. It is ideal for those building high-performance applications, managing large-scale systems, or designing AI-powered data pipelines. A foundational understanding of relational databases and SQL will help you fully leverage the advanced topics discussed in this book.
Whether you are designing next-generation applications, managing critical data infrastructure, or integrating AI capabilities, this book equips you with the knowledge, techniques, and best practices to succeed. Unlock the full potential of PostgreSQL 17, transform your data into actionable intelligence, and build systems that are fast, resilient, and future-ready. Your journey toward mastering PostgreSQL 17 starts here.