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PostgreSQL 10 Administration Cookbook

PostgreSQL 10 Administration Cookbook

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PostgreSQL 10 Administration Cookbook

PostgreSQL 10 Administration Cookbook

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 10 allows users to scale up their PostgreSQL infrastructure. This book takes a step-by-step, recipe-based approach to effective PostgreSQL administration. Throughout this book, you will be introduced to these new features such as logical replication, native table partitioning, additional query parallelism, and much more. You will learn how to tackle a variety of problems that are basically the pain points for any database administrator - from creating tables to managing views, from improving performance to securing your database. More importantly, the book pays special attention to topics such as monitoring roles, backup, and recovery of your PostgreSQL 10 database, ensuring high availability, concurrency, and replication. By the end of this book, you will know everything you need to know to be the go-to PostgreSQL expert in your organization.
Table of Contents (19 chapters)
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Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

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 it is not a fully accepted term as of 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...

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