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PostgreSQL High Performance Cookbook

You're reading from   PostgreSQL High Performance Cookbook Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Chitij Chauhan Chitij Chauhan
Author Profile Icon Chitij Chauhan
Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Author Profile Icon Dinesh Kumar
Dinesh Kumar
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Toc

Table of Contents (13) Chapters Close

Preface 1. Database Benchmarking FREE CHAPTER 2. Server Configuration and Control 3. Device Optimization 4. Monitoring Server Performance 5. Connection Pooling and Database Partitioning 6. High Availability and Replication 7. Working with Third-Party Replication Management Utilities 8. Database Monitoring and Performance 9. Vacuum Internals 10. Data Migration from Other Databases to PostgreSQL and Upgrading the PostgreSQL Cluster 11. Query Optimization 12. Database Indexing

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...
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