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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 bitmap heap and index scan

In this recipe, we will be discussing bitmap heap scans and index scans.

Getting ready

PostgreSQL does not support creating bitmap indexes on tables. However, it will generate bitmap pages while scanning the index, which will be utilized during the table scan. PostgreSQL does not generate bitmap pages for every index scan, and it will only generate them if the number of fetching rows from the query is high enough. This bitmap page is unique to each query execution, and the scope of the bitmap page is the end of the query execution.

Bitmap heap scans will always be the parent node type to the bitmap index scan, which takes the bitmap pages as an input, and sorts the index pages as the physical table page order, and then fetches the tuples from the relation.

How to do it…

  1. For demonstration purposes, let's consider the following example, which generates the bitmap heap scan:
    benchmarksql=# EXPLAIN SELECT * FROM bmsql_customer WHERE 
            c_city ...
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