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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

Computing basic cost


In this recipe, we will be discussing how the optimizer chooses the optimal plan from the set of plans that it generates.

Getting ready

PostgreSQL generates a set of plans based on the optimizer attributes such as enable_seqscan, enable_indexscan, and so on. Among these generated sets of plans, PostgreSQL will only choose the plan that has the minimum cost value when compared with the other plans.

How to do it…

  1. Let's generate a simple plan, as shown in the following snippet, and evaluate it:

    benchmarksql=# SHOW seq_page_cost;
     seq_page_cost
    ---------------
     1
    (1 row) benchmarksql=# EXPLAIN SELECT * FROM bmsql_customer;
                                   QUERY PLAN                                
    -------------------------------------------------------------------------
     Seq Scan on bmsql_customer  (cost=0.00..28218.00 rows=300000
     width=559)
    (1 row)
    
  2. The numbers that we are seeing in the preceding plan are all arbitrary cost values. That is, assumed cost values to process...

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