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PostgreSQL 16 Administration Cookbook

You're reading from   PostgreSQL 16 Administration Cookbook Solve real-world Database Administration challenges with 180+ practical recipes and best practices

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781835460580
Length 636 pages
Edition 1st Edition
Languages
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Authors (5):
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Boriss Mejías Boriss Mejías
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Boriss Mejías
Jimmy Angelakos Jimmy Angelakos
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Jimmy Angelakos
Simon Riggs Simon Riggs
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Simon Riggs
Gianni Ciolli Gianni Ciolli
Author Profile Icon Gianni Ciolli
Gianni Ciolli
Vibhor Kumar Vibhor Kumar
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Vibhor Kumar
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Toc

Table of Contents (15) Chapters Close

Preface 1. First Steps 2. Exploring the Database FREE CHAPTER 3. Server Configuration 4. Server Control 5. Tables and Data 6. Security 7. Database Administration 8. Monitoring and Diagnosis 9. Regular Maintenance 10. Performance and Concurrency 11. Backup and Recovery 12. Replication and Upgrades 13. Other Books You May Enjoy
14. Index

Randomly sampling data

DBAs may be asked to set up a test server and populate it with test data. Often, that server will be old hardware, possibly with smaller disk sizes. So, the subject of data sampling raises its head.

The purpose of sampling is to reduce the size of the dataset and improve the speed of later analysis. Some statisticians are so used to the idea of sampling that they may not even question whether its use is valid or if it might cause further complications.

The SQL standard way to perform sampling is by adding the TABLESAMPLE clause to the SELECT statement.

How to do it…

In this section, we will take a random sample of a given collection of data (for example, a given table). First, you should realize that there isn’t a simple tool to slice off a sample of your database. It would be neat if there were, but there isn’t. You’ll need to read all of this to understand why:

  1. We first consider using SQL to derive a...
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