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Mastering PostgreSQL 10

You're reading from   Mastering PostgreSQL 10 Expert techniques on PostgreSQL 10 development and administration

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788472296
Length 428 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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Table of Contents (15) Chapters Close

Preface 1. PostgreSQL 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

Understanding hypothetical aggregates

Hypothetical aggregates are pretty similar to standard ordered sets. However, they help to answer a different kind of question: what would be the result if a value was there? As you can see, this is not about values inside the database but about the result if a certain value was actually there.

The only hypothetical function provided by PostgreSQL is rank:

test=# SELECT region, 
rank(9000) WITHIN GROUP
(ORDER BY production DESC NULLS LAST)
FROM t_oil
GROUP BY ROLLUP (1);
region | rank
---------------+------
Middle East | 21
North America | 27
| 47
(3 rows)

It tells us: If somebody produced, 9000 barrels per day, it would be ranked the 27th best year in North America and 21st in the Middle East.

In my example, I used NULLS LAST. When data is sorted, nulls are usually at the end...
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