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

Chapter 10. Performance and Concurrency

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

In this chapter, we will show you 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 show you how to get help in the final recipe, Reporting performance problems, in case 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
  • Collecting regular statistics from pg_stat* views
  • Reducing the number of rows returned
  • Simplifying complex SQL queries
  • Speeding up queries without rewriting them
  • Discovering why...