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PostgreSQL 11 Administration Cookbook

You're reading from   PostgreSQL 11 Administration Cookbook Over 175 recipes for database administrators to manage enterprise databases

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789537581
Length 600 pages
Edition 1st Edition
Languages
Concepts
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Authors (3):
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Gianni Ciolli Gianni Ciolli
Author Profile Icon Gianni Ciolli
Gianni Ciolli
Sudheer Kumar Meesala Sudheer Kumar Meesala
Author Profile Icon Sudheer Kumar Meesala
Sudheer Kumar Meesala
Simon Riggs Simon Riggs
Author Profile Icon Simon Riggs
Simon Riggs
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Toc

Table of Contents (14) Chapters Close

Preface 1. First Steps FREE CHAPTER 2. Exploring the Database 3. 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

Finding a unique key for a set of data


Sometimes, it can be difficult to find a unique set of key columns that describe the data.

Getting ready

Let's start with a small table, where the answer is fairly obvious:

postgres=# select * from ord;

We assume that the output is as follows:

orderid  | customerid |  amt  
---------+------------+--------
   10677 |          2 |   5.50
    5019 |          3 | 277.44
    9748 |          3 |  77.17
(3 rows)

How to do it…

First of all, there's no need to do this through a brute-force approach. Checking all the permutations of columns to see which is unique might take you a long time.

Let's start by using PostgreSQL's own optimizer statistics. Run the following command on our table to get a fresh sample of statistics:

postgres=# analyze ord;
ANALYZE

This runs quickly, so we don't have to wait too long. Now we can examine the relevant columns of the statistics:

postgres=# SELECT attname, n_distinct 
                           FROM pg_stats
                        ...
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