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Mastering PostgreSQL 15

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

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781803248349
Length 522 pages
Edition 5th 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 (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

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 code:

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 of oil per day, it would be ranked the 27th-best...

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