Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Mastering PostgreSQL 15

You're reading from   Mastering PostgreSQL 15 Advanced techniques to build and manage scalable, reliable, and fault-tolerant database applications

Arrow left icon
Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803248349
Length 522 pages
Edition 5th Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Hans-Jürgen Schönig Hans-Jürgen Schönig
Author Profile Icon Hans-Jürgen Schönig
Hans-Jürgen Schönig
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: PostgreSQL 15 Overview 2. Chapter 2: Understanding Transactions and Locking FREE CHAPTER 3. Chapter 3: Making Use of Indexes 4. Chapter 4: Handling Advanced SQL 5. Chapter 5: Log Files and System Statistics 6. Chapter 6: Optimizing Queries for Good Performance 7. Chapter 7: Writing Stored Procedures 8. Chapter 8: Managing PostgreSQL Security 9. Chapter 9: Handling Backup and Recovery 10. Chapter 10: Making Sense of Backups and Replication 11. Chapter 11: Deciding on Useful Extensions 12. Chapter 12: Troubleshooting PostgreSQL 13. Chapter 13: Migrating to PostgreSQL 14. Index 15. 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.

Important note

The median is the middle value. For example, if you are earning the median income, the numbers of people earning less and more than you are identical: 50% of people are earning more and 50% of people are earning less.

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...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime