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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

Running sequential scans

In this recipe, we will be discussing sequential scans.

Getting ready

Sequential scans are a mechanism, and PostgreSQL tries to read each tuple from the relation. The best example for the sequential scan is reading an entire table without any predicate. Sequential scans are always preferred over index scans, when a query is reading most of the data from the table, which will avoid the index lookup overhead.

Reading pages in sequential order takes less effort when compared with reading pages in random order. This is because, in sequential file reading, we do not need to set the file pointer to any specific location. However, during the index scan, PostgreSQL needs to read random pages from the file as per the index results. That is, during the index scan we move the file read pointer to multiple pages. This is the reason why the arbitrary cost parameter seq_page_cost value 1 is always less than the random_page_cost value 4.

How to do it…

  1. Let's run a query...
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