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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

The basic server configuration checklist


PostgreSQL arrives configured for use on a shared system, though many people want to run dedicated database systems. The PostgreSQL project wishes to ensure that PostgreSQL will play nicely with other server software, and will not assume that it has access to the full server resources. If you, as the system administrator, know that there is no other important server software running on the system, then you can crank the values up much higher.

Getting ready

Before we start, we need to know two sets of information:

  • We need to know the size of the physical RAM that will be dedicated to PostgreSQL
  • We need to know something about the types of applications for which we will use PostgreSQL

How to do it…

If your database is larger than 32 MB, then you'll probably benefit from increasing shared_buffers. You can increase this to a much larger value, but remember that running out of memory induces many problems.

For instance, PostgreSQL is able to store information...

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