Book Image

PostgreSQL High Performance Cookbook

By : Chitij Chauhan, Dinesh Kumar
Book Image

PostgreSQL High Performance Cookbook

By: Chitij Chauhan, Dinesh Kumar

Overview of this book

PostgreSQL is one of the most powerful and easy to use database management systems. It has strong support from the community and is being actively developed with a new release every year. PostgreSQL supports the most advanced features included in SQL standards. It also provides NoSQL capabilities and very rich data types and extensions. All of this makes PostgreSQL a very attractive solution in software systems. If you run a database, you want it to perform well and you want to be able to secure it. As the world’s most advanced open source database, PostgreSQL has unique built-in ways to achieve these goals. This book will show you a multitude of ways to enhance your database’s performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance. This book is your one-stop guide to elevate your PostgreSQL knowledge to the next level. First, you’ll get familiarized with essential developer/administrator concepts such as load balancing, connection pooling, and distributing connections to multiple nodes. Next, you will explore memory optimization techniques before exploring the security controls offered by PostgreSQL. Then, you will move on to the essential database/server monitoring and replication strategies with PostgreSQL. Finally, you will learn about query processing algorithms.
Table of Contents (19 chapters)
PostgreSQL High Performance Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Monitoring vacuum progress


In this recipe, we will be discussing the usage of the pg_stat_progress_vacuum catalog view, which gives some metrics about the ongoing vacuum process.

Getting ready

PostgreSQL 9.6 introduces a new catalog view, which provides some metrics about the ongoing vacuum processes. This view provides some metrics, along with different action phases, where vacuum/autovacuum performs internally on the table. This view currently does not track the metrics of VACUUM FULL operations, which might be available in future versions.

How to do it...

Let use VACUUM on any sample big table:

benchmarksql=# VACUUM bigtable;

In another terminal, let us query the view and put in the \watch mode, as shown here:

benchmarksql=# SELECT * FROM pg_stat_progress_vacuum; 
(0 rows) 
benchmarksql=# \watch 1 -[ RECORD 1 ]------+------------------ pid                | 4785 
datid              | 16405 
datname            | benchmarksql 
relid              | 16762 
phase              | scanning heap
heap_blks_total...