jooq-patterns

Automate type-safe SQL patterns for Kotlin with jOOQ and PostgreSQL.

5|1|Updated Nov 28, 2025
One-click install
npx skills add https://github.com/ashchupliak/dream-team --skill jooq-patterns-ashchupliak
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jooq-patterns
Source: https://github.com/ashchupliak/dream-team/tree/main/skills/jooq-patterns
Command: npx skills add https://github.com/ashchupliak/dream-team --skill jooq-patterns-ashchupliak

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Type-safe SQL patterns for Kotlin applications often require verbose boilerplate and error-prone manual query construction. This Skill demonstrates how to use jOOQ to write expressive, type-safe queries that map directly to domain entities, reducing boilerplate and improving maintainability.

Core Features & Use Cases

  • Type-safe DSL for building queries with DSLContext.
  • Repository patterns with standard CRUD and complex operations (joins, pagination, upserts, JSON handling).
  • Clear mapping from records to entities, with helper extensions for complex mappings.
  • Transaction handling and batch operations to ensure data consistency.

Quick Start

Integrate the sample jOOQ repository patterns into your Kotlin project to rapidly implement a type-safe data access layer.

Frequently Asked Questions about jooq-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build type-safe SQL queries in Kotlin without verbose boilerplate?

Type-safe SQL queries in Kotlin can be built using jOOQ's DSLContext to construct expressive statements that map directly to domain entities. This approach eliminates manual query construction and reduces boilerplate by leveraging generated table references for robust data access.

What is the best way to implement a Kotlin repository pattern with jOOQ and PostgreSQL?

The best way to implement a Kotlin repository pattern with jOOQ and PostgreSQL is by integrating standard CRUD operations with complex query support. This includes using helper extensions for mapping records to entities and handling joins, pagination, upserts, and JSONB data.

Can I handle complex database operations like upserts and JSONB with jOOQ in Kotlin?

Yes, you can handle complex database operations like upserts and JSONB with jOOQ in Kotlin. The data access layer supports complex queries including joins and pagination, while utilizing mapping helpers to convert database records into domain entities effectively.

Does jOOQ support transaction handling and batch operations for Kotlin data access layers?

Yes, jOOQ supports transaction handling and batch operations for Kotlin data access layers to ensure data consistency. By utilizing DSLContext and generated table references, you can execute multiple database operations safely within a single transaction boundary.

How do I map jOOQ records to Kotlin domain entities?

You map jOOQ records to Kotlin domain entities by using specific mapping helper extensions. These helpers convert database records into domain entities, providing clear mapping from raw query results to application objects while maintaining type safety.

When do I need generated table references for jOOQ in Kotlin?

You need generated table references for jOOQ in Kotlin whenever you are building a robust data access layer. They are required alongside a DSLContext to construct type-safe SQL queries and map records to domain entities accurately.