/312-frameworks-spring-data-jdbc
Use when you need to use Spring Data JDBC with Java records — including entity design with records, repository pattern, immutable updates, aggregate relationships, custom queries, transaction management, and avoiding N+1 problems. This should trigger for requests such as Review
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Use when you need to use Spring Data JDBC with Java records — including entity design with records, repository pattern, immutable updates, aggregate relationships, custom queries, transaction management, and avoiding N+1 problems. This should trigger for requests such as Review
SKILL.md
312-frameworks-spring-data-jdbc.SKILL.mdname: 312-frameworks-spring-data-jdbc
description: Use when you need to use Spring Data JDBC with Java records — including entity design with records, repository pattern, immutable updates, aggregate relationships, custom queries, transaction management, and avoiding N+1 problems. This should trigger for requests such as Review Java code for Spring Data JDBC; Apply best practices for Spring Data JDBC in Java code; Model Spring Data JDBC aggregates with Java records; Review Spring Data JDBC repositories and aggregate boundaries; Improve optimistic locking or domain events in Spring Data JDBC. Part of Plinth Toolkit
license: Apache-2.0
metadata:
author: Juan Antonio Breña Moral
version: 0.18.0
Spring Data JDBC with Records
Apply Spring Data JDBC guidelines with Java records.
**What is covered in this Skill?**
- Records for entity classes (immutable, constructor-friendly)
- @Table for naming when record name differs from the table name
- @Embedded to inline value-object columns into the parent row without a separate table
- Repository pattern
- Immutable updates with static factories for new rows and with* helpers for updates
- save() INSERT vs UPDATE semantics driven by @Id nullability
- Aggregate boundaries: one repository per aggregate root, Set for one-to-many inside the root, foreign keys between aggregates
- Custom queries with @Query and named parameters (no user-input concatenation)
- Transaction management (@Transactional on services; readOnly where appropriate)
- Single query loading (N+1 avoidance)
**Scope:** Apply recommendations based on the reference rules and good/bad code examples.
Constraints
Before applying any Spring Data JDBC changes, ensure the project compiles. If compilation fails, stop immediately. After applying improvements, run full verification.
- **MANDATORY**: Run `./mvnw compile` or `mvn compile` before applying any change
- **SAFETY**: If compilation fails, stop immediately
- **VERIFY**: Run `./mvnw clean verify` or `mvn clean verify` after applying improvements
- **BEFORE APPLYING**: Read the reference for detailed rules and good/bad patterns
- **EDGE CASE**: If request scope is ambiguous, stop and ask a clarifying question before applying changes
- **EDGE CASE**: If required inputs, files, or tooling are missing, report what is missing and ask whether to proceed with setup guidance
When to use this skill
- Review Java code for Spring Data JDBC
- Apply best practices for Spring Data JDBC in Java code
- Model Spring Data JDBC aggregates with Java records
- Review Spring Data JDBC repositories and aggregate boundaries
- Improve optimistic locking or domain events in Spring Data JDBC
Workflow
1. **Read reference and assess project context**
Read `references/312-frameworks-spring-data-jdbc.md` and inspect the current project setup before proposing changes.
2. **Gather scope and decide target improvements**
Identify requested outcomes, constraints, and the minimum safe set of changes to apply.
3. **Apply framework-aligned changes**
Implement or refactor configuration/code following the reference patterns and project conventions.
4. **Run verification and report results**
Execute appropriate build/tests and summarize what changed, what was verified, and any follow-up actions.
Reference
For detailed guidance, examples, and constraints, see [references/312-frameworks-spring-data-jdbc.md](references/312-frameworks-spring-data-jdbc.md).
Read more
name: 312-frameworks-spring-data-jdbc description: Use when you need to use Spring Data JDBC with Java records — including entity design with records, repository pattern, immutable updates, aggregate relationships, custom queries, transaction management, and avoiding N+1 problems. This should trigger for requests such as Review Java code for Spring Data JDBC; Apply best practices for Spring Data JDBC in Java code; Model Spring Data JDBC aggregates with Java records; Review Spring Data JDBC repositories and aggregate boundaries; Improve optimistic locking or domain events in Spring Data JDBC. Part of Plinth Toolkit license: Apache-2.0 metadata: author: Juan Antonio Breña Moral version: 0.18.0
Spring Data JDBC with Records
Apply Spring Data JDBC guidelines with Java records.
**What is covered in this Skill?**
- Records for entity classes (immutable, constructor-friendly)
- @Table for naming when record name differs from the table name
- @Embedded to inline value-object columns into the parent row without a separate table
- Repository pattern
- Immutable updates with static factories for new rows and with* helpers for updates
- save() INSERT vs UPDATE semantics driven by @Id nullability
- Aggregate boundaries: one repository per aggregate root, Set for one-to-many inside the root, foreign keys between aggregates
- Custom queries with @Query and named parameters (no user-input concatenation)
- Transaction management (@Transactional on services; readOnly where appropriate)
- Single query loading (N+1 avoidance)
**Scope:** Apply recommendations based on the reference rules and good/bad code examples.
Constraints
Before applying any Spring Data JDBC changes, ensure the project compiles. If compilation fails, stop immediately. After applying improvements, run full verification.
- **MANDATORY**: Run `./mvnw compile` or `mvn compile` before applying any change
- **SAFETY**: If compilation fails, stop immediately
- **VERIFY**: Run `./mvnw clean verify` or `mvn clean verify` after applying improvements
- **BEFORE APPLYING**: Read the reference for detailed rules and good/bad patterns
- **EDGE CASE**: If request scope is ambiguous, stop and ask a clarifying question before applying changes
- **EDGE CASE**: If required inputs, files, or tooling are missing, report what is missing and ask whether to proceed with setup guidance
When to use this skill
- Review Java code for Spring Data JDBC
- Apply best practices for Spring Data JDBC in Java code
- Model Spring Data JDBC aggregates with Java records
- Review Spring Data JDBC repositories and aggregate boundaries
- Improve optimistic locking or domain events in Spring Data JDBC
Workflow
1. **Read reference and assess project context**
Read `references/312-frameworks-spring-data-jdbc.md` and inspect the current project setup before proposing changes.
2. **Gather scope and decide target improvements**
Identify requested outcomes, constraints, and the minimum safe set of changes to apply.
3. **Apply framework-aligned changes**
Implement or refactor configuration/code following the reference patterns and project conventions.
4. **Run verification and report results**
Execute appropriate build/tests and summarize what changed, what was verified, and any follow-up actions.
Reference
For detailed guidance, examples, and constraints, see [references/312-frameworks-spring-data-jdbc.md](references/312-frameworks-spring-data-jdbc.md).
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