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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

Implementing partitioning


In this recipe we are going to cover table partitioning and show the steps that are needed to partition a table.

Getting ready

Exposure to database design and normalization is needed.

How to do it...

There are a series of steps that need to be carried out to set up table partitioning. Here are the steps:

  1. The first step is to create a master table with all fields. A master table is the table that will be used as a base to partition data into other tables, that is, partitions. An index is optional here for a master table; however, since there are performance benefits of using an index, we are creating an index from a performance perspective:

            CREATE TABLE country_log ( 
                created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(), 
                country_code char(2), 
                content text 
            ); 
     
            CREATE INDEX country_code_idx ON country_log USING btree 
              (country_code); 
    
  2. The next step is to create...

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