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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

Replication concepts


Replication technology can be confusing. You might be forgiven for thinking that people have a reason to keep it that way. My observation is that there are many techniques, each with their own advocates, and the strengths and weaknesses are often hotly debated.

There are some simple underlying concepts that can help you understand the various options available. The terms used here are designed to avoid favoring any particular technique, and we've used standard industry terms whenever available.

Topics

Database replication is the term we use to describe the technology used to maintain a copy of a set of data on a remote system.

There are usually two main reasons for you wanting to do this, and those reasons are often combined:

  • High Availability: Reducing the chances of data unavailability by having multiple systems, each holding a full copy of the data.
  • Data Movement: Allowing data to be used by additional applications or workload on additional hardware. Examples of this are...

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