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Mastering PostgreSQL 12

You're reading from   Mastering PostgreSQL 12 Advanced techniques to build and administer scalable and reliable PostgreSQL database applications

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838988821
Length 470 pages
Edition 3rd Edition
Languages
Concepts
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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 (18) Chapters Close

Preface 1. Section 1: Basic Overview FREE CHAPTER
2. PostgreSQL 12 Overview 3. Understanding Transactions and Locking 4. Section 2: Advanced Concepts
5. Making Use of Indexes 6. Handling Advanced SQL 7. Log Files and System Statistics 8. Optimizing Queries for Good Performance 9. Writing Stored Procedures 10. Managing PostgreSQL Security 11. Handling Backup and Recovery 12. Making Sense of Backups and Replication 13. Deciding on Useful Extensions 14. Troubleshooting PostgreSQL 15. Migrating to PostgreSQL 16. Assessment 17. 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 in the data? 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 that's provided by PostgreSQL is rank, as shown in the following:

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)

The preceding code tells us this: if somebody produced 9,000 barrels per day, it would be ranked the 27th best year in North America and 21st in Middle East.

In this example...
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