Just use Postgres!
Год издания: 2026
Автор: Magda D.
Издательство: Manning
ISBN: 978-1633435698
Язык: Английский
Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 402
Описание: You probably don’t need a collection of specialty databases. Just use Postgres instead!
Need a fast, reliable SQL-compliant RDBMS? Just use Postgres! Need to work with geospatial data? Just use Postgres! Handling semi- or non-structured documents? Just use Postgres! Generative AI embeddings? You’ve got it—just use Postgres! Written for software engineers and database pros, Just Use Postgres! shows you how to get the most out of the powerful PostgresSQL database.
In Just Use Postgres! you’ll learn how to:
• Develop generative AI, geospatial, and time-series applications
• Everything from transactional RDBMS services to specialized workloads
• Modern SQL including window functions, CTEs, and JSON data
• Implement full-text search
• B-trees, GIN, HNSW, expression, and more
• Postgres extensions
Since its initial release in 1996, PostgreSQL, aka Postgres, has grown into the most popular and powerful full-featured open source RDBMS available. Just Use Postgres! takes a modern look at Postgres, exploring the database’s most up-to-date features for AI, time-series, full-text search, geospatial, and other application workloads.
We start with an introduction to Postgres and learn how to run it in Docker on our machine. From there, we explore its core relational capabilities by designing a database structure and manipulating data. Finally, we dive into modern SQL features and learn how to optimize query performance using different Postgres index types. After completing the first part of the book, we’ll be ready to use Postgres as a relational database for designing and building applications for transactional and other types of workloads.
Примеры страниц (скриншоты)
Оглавление
Part 1 Postgres as a relational database 1
1 Meeting Postgres 3
2 Standard RDBMS capabilities 18
3 Modern SQL 65
4 Indexes 89
Part 2 Core Postgres beyond relational 127
5 Postgres and JSON 129
6 Postgres for full-text search 164
7 Postgres extensions 201
8 Postgres for generative AI 213
9 Postgres for time series 253
10 Postgres for geospatial data 292
11 Postgres as a message queue 332
appendix A Five optimization tips 358
appendix B When not to use Postgres 369
