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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

Offset and keyset pagination

Offset and keyset pagination (or seek, as Markus Winand calls it) represent two well-known techniques for paginating data while fetching it from the database. Offset pagination is quite popular because Spring Boot (more precisely, Spring Data Commons) provides two default implementations for it, via the Page and Slice APIs. Therefore, in terms of productivity, it's very convenient to rely on these implementations. However, in terms of performance, while your project evolves and data keeps accumulating, relying on offset pagination may lead to serious performance degradations. Nevertheless, as you'll see soon, jOOQ can help you to sweeten the situation.

Conversely, keyset pagination is a technique that sustains high performance, being faster and more stable than offset pagination. Keyset pagination really shines on paginating large datasets and infinite scrolling, while it leads to almost the same performance as offset pagination, especially...

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