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Mastering PostgreSQL 13

You're reading from   Mastering PostgreSQL 13 Build, administer, and maintain database applications efficiently with PostgreSQL 13

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781800567498
Length 476 pages
Edition 4th Edition
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Author (1):
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Hans-Jürgen Schönig Hans-Jürgen Schönig
Author Profile Icon Hans-Jürgen Schönig
Hans-Jürgen Schönig
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Table of Contents (15) Chapters Close

Preface 1. PostgreSQL 13 Overview 2. Understanding Transactions and Locking FREE CHAPTER 3. Making Use of Indexes 4. Handling Advanced SQL 5. Log Files and System Statistics 6. Optimizing Queries for Good Performance 7. Writing Stored Procedures 8. Managing PostgreSQL Security 9. Handling Backup and Recovery 10. Making Sense of Backups and Replication 11. Deciding on Useful Extensions 12. Troubleshooting PostgreSQL 13. Migrating to PostgreSQL 14. Other Books You May Enjoy

Making use of ordered sets

Ordered sets are powerful features, but are not widely regarded as such and are not widely known in the developer community. The idea is actually quite simple: data is grouped normally, and then the data inside each group is ordered given a certain condition. The calculation is then performed on this sorted data.

A classic example is the calculation of the median.

The median is the middle value. If you are, for example, earning the median income, the numbers of people earning less and more than you are identical; 50% of people do better and 50% of people do worse.

One way to get the median is to take sorted data and move 50% into the dataset. This is an example of what the WITHIN GROUP clause will ask PostgreSQL to do:

test=# SELECT region, 
percentile_disc(0.5) WITHIN GROUP (ORDER BY production)
FROM t_oil
GROUP BY 1;
region | percentile_disc ----------------+----------------- Middle East | 1082 North America | 3054...
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