Book Image

jOOQ Masterclass

By : Anghel Leonard
Book Image

jOOQ Masterclass

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)
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

Generating a jOOQ Java-based schema

All the previous queries were referencing the database schema explicitly by placing the table or column name between quotes and passing them as arguments to the jOOQ built-in table() and field() methods respectively.

But, using the jOOQ Code Generator allows the SQL statements expressed via jOOQ's query DSL API to take advantage of a Java-based schema that mirrors the one from the database. The code generation part is the job of the jOOQ generation tool (its starting point is the org.jooq.codegen.GenerationTool class).

Having a Java-based schema is quite useful. The SQL statements can be expressed via the Java data access layer and executed against the underlying database schema. Besides being type-safe, these SQL statements are not prone to typos, are easy to refactor (for example, to rename a column), and are less verbose than referencing the database schema explicitly.

jOOQ comes with several solutions for generating the Java-based...