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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

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...
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