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PostgreSQL 16 Administration Cookbook

PostgreSQL 16 Administration Cookbook

By : GIANNI CIOLLI, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs
4.8 (27)
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PostgreSQL 16 Administration Cookbook

PostgreSQL 16 Administration Cookbook

4.8 (27)
By: GIANNI CIOLLI, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, Simon Riggs

Overview of this book

PostgreSQL has seen a huge increase in its customer base in the past few years and is becoming one of the go-to solutions for anyone who has a database-specific challenge. This PostgreSQL book touches on all the fundamentals of Database Administration in a problem-solution format. It is intended to be the perfect desk reference guide. This new edition focuses on recipes based on the new PostgreSQL 16 release. The additions include handling complex batch loading scenarios with the SQL MERGE statement, security improvements, running Postgres on Kubernetes or with TPA and Ansible, and more. This edition also focuses on certain performance gains, such as query optimization, and the acceleration of specific operations, such as sort. It will help you understand roles, ensuring high availability, concurrency, and replication. It also draws your attention to aspects like validating backups, recovery, monitoring, and scaling aspects. This book will act as a one-stop solution to all your real-world database administration challenges. By the end of this book, you will be able to manage, monitor, and replicate your PostgreSQL 16 database for efficient administration and maintenance with the best practices from experts.
Table of Contents (15 chapters)
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13
Other Books You May Enjoy
14
Index

Performance and Concurrency

Performance and concurrency are two problems that are often tightly coupled—when concurrency problems are encountered, performance usually degrades, in some cases by a lot. If you take care of concurrency problems, you will achieve better performance.

In this chapter, you will see how to find slow queries and how to find queries that make other queries slow.

Performance tuning, unfortunately, is still not an exact science, so you may also encounter a performance problem that’s not covered by any of the given methods.

We will also see how to get help in the final recipe, Reporting performance problems, if none of the other recipes that are covered here work.

In this chapter, we will cover the following recipes:

  • Finding slow SQL statements
  • Finding out what makes SQL slow
  • Reducing the number of rows returned
  • Simplifying complex SQL queries
  • Speeding up queries without rewriting them
  • Discovering...

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