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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

Calling stored functions/procedures from jOOQ

Once you start dealing with stored functions/procedures across different database vendors, you'll be hit by the lack of standardization. For instance, the vendor-specific syntax for expressing functions/procedures, the wide variety of vendor-specific functions/procedure types, and different ways of supporting and treating the output parameters are just a few non-standard aspects of stored functions/procedures.

Calling stored functions/procedures via plain JDBC code is not easy either, especially if advanced data types are involved (for instance, arrays or UDTs). But, as you already know, using the jOOQ DSL saves us from interacting directly with the JDBC API, so it saves us from making cutting-edge decisions regarding JDBC workarounds.

The jOOQ DSL represents stored functions/procedures via the org.jooq.Routine API, so there is a common API for both. Whenever the jOOQ generator detects a stored function/procedure it generates...

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