judo-runtime:custom-queries

Extend JUDO DAO RDBMS query translation with custom SQL generation.

Updated May 5, 2022

Search Tags:#rdbms #sql generation #judo #query translation #custom mappers #extension points

Ready to run

npx skills add https://github.com/BlackBeltTechnology/judo-runtime-core --skill judo-runtime-custom-queries

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Please help me install this Agent Skill.
Skill: judo-runtime:custom-queries
Source: https://github.com/BlackBeltTechnology/judo-runtime-core/tree/main/judo-runtime-core-dao-rdbms/src/main/resources/claude/plugins/judo-dao-rdbms/skills/custom-queries
Command: npx skills add https://github.com/BlackBeltTechnology/judo-runtime-core --skill judo-runtime-custom-queries

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill allows developers to extend the JUDO DAO RDBMS query translation layer, enabling custom handling of query elements, SQL generation, and join strategies.

Core Features & Use Cases

Custom Query Element Mapping: Define how custom query element types are mapped to RDBMS fields.
Expression Translation: Implement custom logic to translate custom expressions into standard SQL expressions.
Custom Join Strategies: Implement new ways to join tables based on specific conditions.
Use Case: When dealing with complex business logic that requires non-standard SQL constructs or custom join conditions, this skill provides the necessary extension points.

Quick Start

Implement a custom MapperFactory to register your custom query element mappers.

Frequently Asked Questions about judo-runtime:custom-queries

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

FAQPage Schema

How do I extend RDBMS query translation to support custom SQL generation?▼

RDBMS query translation can be extended by implementing custom mappers and translators that define how custom query elements map to database fields and standard SQL expressions. This enables handling non-standard SQL constructs within the JUDO DAO framework.

Can I define custom join strategies for complex SQL queries in JUDO DAO?▼

Yes, custom join strategies for complex SQL queries can be defined by implementing the RdbmsMapper and Translator interfaces. This allows you to specify new ways to join database tables based on specific business logic conditions.

How do I register custom query element mappers using Guice?▼

Custom query element mappers are registered using Guice for module integration. You implement a custom MapperFactory to register your specific query element mappers, enabling the framework to recognize and process your custom query translations.

When do I need custom mappers for SQL generation?▼

Custom mappers for SQL generation are needed when dealing with complex business logic that requires non-standard SQL constructs or custom join conditions. They provide the necessary extension points to translate custom expressions into standard SQL.

Does JUDO DAO support translating custom expressions into standard SQL?▼

Yes, JUDO DAO supports translating custom expressions into standard SQL through the Translator interface. This allows developers to implement custom logic that converts application-specific query elements into executable SQL expressions.

What is the best way to handle non-standard SQL constructs in JUDO DAO?▼

The best way to handle non-standard SQL constructs is by extending the JUDO DAO RDBMS query translation layer. Implementing custom MapperFactory, RdbmsMapper, and Translator interfaces provides the necessary extension points for custom SQL generation.

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