What is an InstanceGraph in the JUDO architecture?

An InstanceGraph represents a snapshot of an entity and its relationships (containments, references, and back-references), used primarily for navigating complex data structures during persistence.

What are PayloadDaoProcessors in JUDO?

They are core components that inspect data payloads and generate the appropriate sequence of statements (Insert, Update, Delete) while handling entity relationships and validation.

Does JUDO DAO Core support optimistic locking?

Yes, the UpdatePayloadDaoProcessor includes logic for version-based optimistic locking to prevent data overwrites during concurrent updates.

How does this skill handle complex entity deletions?

It provides patterns for the DeletePayloadDaoProcessor, which manages graph collection, cascade deletions, and mandatory back-reference checks to ensure data integrity.

JUDO DAO Core Patterns

Name: JUDO DAO Core Patterns
Author: BlackBeltTechnology

byBlackBeltTechnology

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数据库管理

Guides the implementation of standardized data access patterns, payload processing, and entity lifecycle management within the JUDO framework.

The judo-dao-core skill equips Claude with specialized knowledge of the JUDO DAO architecture, focusing on the sophisticated processing of data payloads into executable statements. It covers the entire data access lifecycle, including recursive insert logic, complex update merge scenarios, and safe deletion patterns with back-reference checking. This skill is essential for developers building robust backend services that require automated statement generation, optimistic locking, and rigorous data validation using the JUDO runtime core.

主要功能

01Built-in validation patterns for mandatory features and reference integrity

020 GitHub stars

03Optimistic locking support via version-based update checks

04Automated generation of SQL-agnostic Statement types (Insert, Update, Reference)

05Payload processing for recursive Insert, Update, and Delete operations

06Instance collection and graph navigation for complex entity relationships

使用场景

01Designing cascading delete logic with automated back-reference validation

02Architecting enterprise-grade CRUD operations using the JUDO Core runtime

03Implementing custom PayloadDaoProcessors for specialized data transformations

主要功能

01Built-in validation patterns for mandatory features and reference integrity

020 GitHub stars

03Optimistic locking support via version-based update checks

04Automated generation of SQL-agnostic Statement types (Insert, Update, Reference)

05Payload processing for recursive Insert, Update, and Delete operations

06Instance collection and graph navigation for complex entity relationships

使用场景

01Designing cascading delete logic with automated back-reference validation

02Architecting enterprise-grade CRUD operations using the JUDO Core runtime

03Implementing custom PayloadDaoProcessors for specialized data transformations