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jOOQ Masterclass

You're reading from  jOOQ Masterclass

Product type Book
Published in Aug 2022
Publisher Packt
ISBN-13 9781800566897
Pages 764 pages
Edition 1st Edition
Languages
Author (1):
Anghel Leonard Anghel Leonard
Profile icon Anghel Leonard

Table of Contents (26) Chapters

Preface Part 1: jOOQ as a Query Builder, SQL Executor, and Code Generator
Chapter 1: Starting jOOQ and Spring Boot Chapter 2: Customizing the jOOQ Level of Involvement Part 2: jOOQ and Queries
Chapter 3: jOOQ Core Concepts Chapter 4: Building a DAO Layer (Evolving the Generated DAO Layer) Chapter 5: Tackling Different Kinds of SELECT, INSERT, UPDATE, DELETE, and MERGE Chapter 6: Tackling Different Kinds of JOINs Chapter 7: Types, Converters, and Bindings Chapter 8: Fetching and Mapping Part 3: jOOQ and More Queries
Chapter 9: CRUD, Transactions, and Locking Chapter 10: Exporting, Batching, Bulking, and Loading Chapter 11: jOOQ Keys Chapter 12: Pagination and Dynamic Queries Part 4: jOOQ and Advanced SQL
Chapter 13: Exploiting SQL Functions Chapter 14: Derived Tables, CTEs, and Views Chapter 15: Calling and Creating Stored Functions and Procedures Chapter 16: Tackling Aliases and SQL Templating Chapter 17: Multitenancy in jOOQ Part 5: Fine-tuning jOOQ, Logging, and Testing
Chapter 18: jOOQ SPI (Providers and Listeners) Chapter 19: Logging and Testing Other Books You May Enjoy

Window functions

Window functions are extremely useful and powerful; therefore, they represent a must-know topic for every developer that interacts with a database via SQL. In a nutshell, the best way to quickly overview window functions is to start from a famous diagram representing a comparison between an aggregation function and a window function that highlights the main difference between them, as represented here:

Figure 13.3 – Aggregate functions versus window functions

As you can see, both the aggregate function and the window function calculate something on a set of rows, but a window function doesn't aggregate or group these rows into a single output row. A window function relies on the following syntax:

window_function_name (expression) OVER (
    Partition Order Frame
)

This syntax can be explained as follows:

Obviously, window_function_name represents the window function name, such as ROW_NUMBER(), RANK(...

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