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PostgreSQL High Performance Cookbook

You're reading from  PostgreSQL High Performance Cookbook

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781785284335
Pages 360 pages
Edition 1st Edition
Languages
Authors (2):
Chitij Chauhan Chitij Chauhan
Profile icon Chitij Chauhan
Dinesh Kumar Dinesh Kumar
Profile icon Dinesh Kumar
View More author details
Toc

Table of Contents (19) Chapters close

PostgreSQL High Performance Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Database Benchmarking 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

Query plan node structure


In this recipe, we will be discussing the explain plan tree structure.

Getting ready

PostgreSQL generates a set of plans before choosing an optimal plan that it is going to execute, based on the collected statistics about the relations. That is, the plan we are going to get when we use the EXPLAIN command along with the SQL statement is the optimal plan for that query. We also used EXPLAIN statements extensively on previous topics, and now we are going to understand the plan structure, and the significance of each value in it.

How to do it…

Let's run a basic EXPLAIN query and evaluate it as follows:

benchmarksql=# EXPLAIN SELECT * FROM bmsql_customer WHERE c_id=0;                                                                                      
                                           QUERY PLAN                                           
------------------------------------------------------------------------------------------------
Index Scan using bmsql_customer_pkey...
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