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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

Asynchronous fetching

Whenever you consider that you need asynchronous fetching (for instance, a query takes too long to wait for it or multiple queries can run independently of each other (non-atomically)) you can rely on the jOOQ + CompletableFuture combination. For instance, the following asynchronous operation chains an INSERT statement, an UPDATE statement, and a DELETE statement using the CompletableFuture API and the threads obtained from the default ForkJoinPool API (if you are not familiar with this API, then you can consider purchasing the Java Coding Problems book from Packt, which dives deeper into this topic):

@Async
public CompletableFuture<Void> insertUpdateDeleteOrder() {
 return CompletableFuture.supplyAsync(() -> {
  return ctx.insertInto(ORDER)
   .values(null, LocalDate.of(2003, 2, 12), 
    LocalDate.of(2003, 3, 1), LocalDate.of(2003, 2, 27),    
    "Shipped&quot...
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