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
Contributors
Preface
Index

Chapter 8. Monitoring and Diagnosis

In this chapter, we will cover the following recipes:

  • Providing PostgreSQL information to monitoring tools
  • Real-time viewing using pgAdmin or OmniDB
  • Checking whether a user is connected
  • Checking whether a computer is connected
  • Repeatedly executing a query in psql
  • Checking which queries are running
  • Checking which queries are active or blocked
  • Knowing who is blocking a query
  • Killing a specific session
  • Detecting an in-doubt prepared transaction
  • Knowing whether anybody is using a specific table
  • Knowing when a table was last used
  • Usage of disk space by temporary data
  • Understanding why queries slow down
  • Investigating and reporting a bug
  • Producing a daily summary of log file errors
  • Analyzing the real-time performance of your queries