Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying PostgreSQL High Performance Cookbook
  • Table Of Contents Toc
PostgreSQL High Performance Cookbook

PostgreSQL High Performance Cookbook

By : Chitij Chauhan, Dinesh Kumar
close
close
PostgreSQL High Performance Cookbook

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 (13 chapters)
close
close

Table access statistics


In this recipe, we will be discussing how to study the table access statistics by using PostgreSQL catalog views.

Getting ready

PostgreSQL's statistics collector process keeps track of all kinds of operations that are performing on any table or an index. These statistics will be helpful in determining the importance of an object in the business, and also defines whether the required maintenance operations are running on it when it is required.

How to do it...

Let's create a test table, which we will perform a few operations on:

postgres=# CREATE TABLE test (t INT); 
CREATE TABLE

PostgreSQL provides a few catalog views, which we are going to query to analyze the statistics, which statistics collector process is collected in the background.

pg_stat_user_tables

This catalog view provides most of the transactional metrics as well as maintenance operations metrics. Now, let's go and perform a few transactions and see how they reflect in this view:

postgres=# INSERT INTO...
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
PostgreSQL High Performance Cookbook
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon