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jOOQ Masterclass

jOOQ Masterclass

By : Anghel Leonard
4.6 (5)
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jOOQ Masterclass

jOOQ Masterclass

4.6 (5)
By: Anghel Leonard

Overview of this book

jOOQ is an excellent query builder framework that allows you to emulate database-specific SQL statements using a fluent, intuitive, and flexible DSL API. jOOQ is fully capable of handling the most complex SQL in more than 30 different database dialects. jOOQ Masterclass covers jOOQ from beginner to expert level using examples (for MySQL, PostgreSQL, SQL Server, and Oracle) that show you how jOOQ is a mature and complete solution for implementing the persistence layer. You’ll learn how to use jOOQ in Spring Boot apps as a replacement for SpringTemplate and Spring Data JPA. Next, you’ll unleash jOOQ type-safe queries and CRUD operations via jOOQ’s records, converters, bindings, types, mappers, multi-tenancy, logging, and testing. Later, the book shows you how to use jOOQ to exploit powerful SQL features such as UDTs, embeddable types, embedded keys, and more. As you progress, you’ll cover trending topics such as identifiers, batching, lazy loading, pagination, and HTTP long conversations. For implementation purposes, the jOOQ examples explained in this book are written in the Spring Boot context for Maven/Gradle against MySQL, Postgres, SQL Server, and Oracle. By the end of this book, you’ll be a jOOQ power user capable of integrating jOOQ in the most modern and sophisticated apps including enterprise apps, microservices, and so on.
Table of Contents (26 chapters)
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1
Part 1: jOOQ as a Query Builder, SQL Executor, and Code Generator
4
Part 2: jOOQ and Queries
11
Part 3: jOOQ and More Queries
16
Part 4: jOOQ and Advanced SQL
22
Part 5: Fine-tuning jOOQ, Logging, and Testing

Practicing the most popular types of JOINs

By most popular types of JOIN statements we are referring to CROSS JOIN, INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN. Let's tackle each of them via the jOOQ DSL API, starting with the most basic type of JOIN.

CROSS JOIN

CROSS JOIN is the most basic type of JOIN that gets materialized in a Cartesian product. Having two tables, A and B, the CROSS JOIN operation between them is represented as A x B, and practically, it means the combination of every row from A with every row from B.

In jOOQ, CROSS JOIN can be rendered by enlisting the tables in the FROM clause (non-ANSI JOIN syntax) or via the crossJoin() method that renders the CROSS JOIN keywords (ANSI JOIN syntax). Here is the first case – let's CROSS JOIN the OFFICE and DEPARTMENT tables:

ctx.select().from(OFFICE, DEPARTMENT).fetch();

Since this query doesn't expose explicitly or clearly, its intention of using CROSS JOIN is not as friendly as the...

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