Book Image

PostgreSQL 11 Administration Cookbook

By : Simon Riggs, Gianni Ciolli, Sudheer Kumar Meesala
Book Image

PostgreSQL 11 Administration Cookbook

By: Simon Riggs, Gianni Ciolli, Sudheer Kumar Meesala

Overview of this book

PostgreSQL is a powerful, open source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 11 allows you to scale up your PostgreSQL infrastructure. This book takes a step-by-step, recipe-based approach to effective PostgreSQL administration. The book will introduce you to new features such as logical replication, native table partitioning, additional query parallelism, and much more to help you to understand and control, crash recovery and plan backups. You will learn how to tackle a variety of problems and pain points for any database administrator such as creating tables, managing views, improving performance, and securing your database. As you make steady progress, the book will draw attention to important topics such as monitoring roles, backup, and recovery of your PostgreSQL 11 database to help you understand roles and produce a summary of log files, ensuring high availability, concurrency, and replication. By the end of this book, you will have the necessary knowledge to manage your PostgreSQL 11 database efficiently.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
About Packt

Deciding on a design for multitenancy

There are many reasons why we might want to split groups of tables or applications: security, resource control, convenience, and so on. Whatever the reason, we often need to separate groups of tables (I avoid saying the word database, just to avoid various kinds of confusion).

This topic is frequently referred to as multitenancy, though this is not a fully accepted term yet.

The purpose of this recipe is to discuss the options and lead to other, more detailed recipes.

How to do it…

If you want to run multiple physical databases on one server, then you have four main options, which are as follows:

  • Option 1: Run multiple sets of tables in different schemas in one database of a PostgreSQL instance (covered in the Using multiple schemas recipe)
  • Option 2: Run multiple databases in the same PostgreSQL instance (covered in the Giving users their own private database recipe)
  • Option 3: Run multiple PostgreSQL instances on the same virtual/physical system (covered in...