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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

Combined indexes

In this recipe, we will be discussing how PostgreSQL combines multiple indexes to produce desired results.

Getting ready

When the query has a predicate with multiple columns and each column has associated with an index then the optimizer combines all the index results to fetch the desired results.

How to do it...

For demonstration, let's query the database as follows:

benchmarksql=# EXPLAIN SELECT * FROM bmsql_item WHERE i_data = 'Item Name' OR i_price = 3; 
                                     QUERY PLAN                                      
------------------------------------------------------------------------------------ 
 Bitmap Heap Scan on bmsql_item  (cost=8.82..60.67 rows=14 width=71) 
   Recheck Cond: (((i_data)::text = 'Item Name'::text) OR (i_price = '3'::numeric)) 
   ->  BitmapOr  (cost=8.82..8.82 rows=14 width=0) 
   ->  Bitmap Index Scan on data_idx  (cost=0.00..4.45 rows=4 width=0) 
     Index Cond: ((i_data)::text ...
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