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Learn PostgreSQL

You're reading from   Learn PostgreSQL Build and manage high-performance database solutions using PostgreSQL 12 and 13

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781838985288
Length 650 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Enrico Pirozzi Enrico Pirozzi
Author Profile Icon Enrico Pirozzi
Enrico Pirozzi
Luca Ferrari Luca Ferrari
Author Profile Icon Luca Ferrari
Luca Ferrari
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Toc

Table of Contents (27) Chapters Close

Preface 1. Section 1: Getting Started
2. Introduction to PostgreSQL FREE CHAPTER 3. Getting to Know Your Cluster 4. Managing Users and Connections 5. Section 2: Interacting with the Database
6. Basic Statements 7. Advanced Statements 8. Window Functions 9. Server-Side Programming 10. Triggers and Rules 11. Partitioning 12. Section 3: Administering the Cluster
13. Users, Roles, and Database Security 14. Transactions, MVCC, WALs, and Checkpoints 15. Extending the Database - the Extension Ecosystem 16. Indexes and Performance Optimization 17. Logging and Auditing 18. Backup and Restore 19. Configuration and Monitoring 20. Section 4: Replication
21. Physical Replication 22. Logical Replication 23. Section 5: The PostegreSQL Ecosystem
24. Useful Tools and Extensions 25. Toward PostgreSQL 13 26. Other Books You May Enjoy

Using basic statement window functions

As we saw in the previous chapter, aggregation functions behave in the following way:

The data is first sorted and then aggregated; the data is then flattened through aggregation. This is what happens when we execute the following statement:

forumdb=# select category,count(*) from posts group by category order by category;

Alternatively, we can decide to use window functions by executing the following statement:

forumdb=# select category, count(*) over (partition by category) from posts order by category;
category | count
----------+-------
10 | 1
11 | 3
11 | 3
11 | 3
12 | 1
(5 rows)

Window functions create aggregates without flattening the data into a single row. However, they replicate it for all the rows to which the grouping functions refer. The behavior of PostgreSQL is depicted in the following diagram:

This is the reason that the distinct keyword has to be added to the preceding query if we want to obtain the...

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