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Learn PostgreSQL - Second Edition

You're reading from  Learn PostgreSQL - Second Edition

Product type Book
Published in Oct 2023
Publisher Packt
ISBN-13 9781837635641
Pages 744 pages
Edition 2nd Edition
Languages
Authors (2):
Luca Ferrari Luca Ferrari
Profile icon Luca Ferrari
Enrico Pirozzi Enrico Pirozzi
Profile icon Enrico Pirozzi
View More author details

Table of Contents (22) Chapters

Preface 1. Introduction to PostgreSQL 2. Getting to Know Your Cluster 3. Managing Users and Connections 4. Basic Statements 5. Advanced Statements 6. Window Functions 7. Server-Side Programming 8. Triggers and Rules 9. Partitioning 10. Users, Roles, and Database Security 11. Transactions, MVCC, WALs, and Checkpoints 12. Extending the Database – the Extension Ecosystem 13. Query Tuning, Indexes, and Performance Optimization 14. Logging and Auditing 15. Backup and Restore 16. Configuration and Monitoring 17. Physical Replication 18. Logical Replication 19. Useful Tools and Extensions 20. Other Books You May Enjoy
21. Index

Window Functions

In the previous chapter, we talked about aggregates. In this chapter, we are going to further discuss another way to make aggregates: window functions. The official documentation (https://www.postgresql.org/docs/current/tutorial-window.html) describes window functions as follows:

A window function performs a calculation across a set of table rows that are somehow related to the current row. This is comparable to the type of calculation that can be done with an aggregate function. However, window functions do not cause rows to become grouped into a single output row as non-window aggregate calls would. Instead, the rows retain their separate identities. Behind the scenes, the window function is able to access more than just the current row of the query result

In this chapter, we will talk about window functions, what they are, and how we can use them to improve the performance of our queries.

The following topics will be covered in this chapter...

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