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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

Index lookup

In this recipe, we will be discussing various index scans, and how they try to fetch matching tuples from tables.

Getting ready

As we all know, an index is a physical object that can help a query retrieve table data much faster than a sequential scan. In the explain plan, we frequently get index scan, bitmap heap scan, or index only scan node types, which works on a particular index. Whenever an index is scanned, then an immediately followed action would be to return the matching tuples from the index, build a bitmap in memory, or fetch the tuples from the base table.

How to do it...

To demonstrate the index scan, let's run the following simple query and see how many tuples it is reading from the base table:

benchmarksql=# SELECT pg_stat_reset(); 
pg_stat_reset  
--------------- 
 
(1 row) 
benchmarksql=# SET enable_bitmapscan TO off; 
SET 
benchmarksql=# EXPLAIN ANALYZE SELECT * FROM bmsql_item WHERE i_price = 1;
                                                     ...
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