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Mastering PostgreSQL 11

You're reading from   Mastering PostgreSQL 11 Expert techniques to build scalable, reliable, and fault-tolerant database applications

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Product type Paperback
Published in Oct 2018
Publisher
ISBN-13 9781789537819
Length 446 pages
Edition 2nd Edition
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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 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 14. Other Books You May Enjoy

Understanding hypothetical aggregates

Hypothetical aggregates are pretty similar to standard ordered sets. However, they help 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:

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

In this example, I used NULLS LAST. When data is sorted, nulls...
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