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Mastering PostgreSQL 9.6

You're reading from   Mastering PostgreSQL 9.6 A comprehensive guide for PostgreSQL 9.6 developers and administrators

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Product type Paperback
Published in May 2017
Publisher
ISBN-13 9781783555352
Length 416 pages
Edition 1st Edition
Languages
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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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Toc

Table of Contents (14) Chapters Close

Preface 1. PostgreSQL Overview FREE CHAPTER 2. Understanding Transactions and Locking 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

Making use of ordered sets

Ordered sets are a powerful feature, which is not widely regarded and 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 classical example would be the calculation of the median.

The median is the middle value. If you are for example earning the median income the number of people earning less and more than you is 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...
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