Spring Data JDBC with Records
SkillMediaUse 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
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Then ask your AI: use the Spring Data JDBC with Records skill
What this skill tells your AI
The instructions your AI receives, as published by jabrena/plinth in skills/312-frameworks-spring-data-jdbc/SKILL.md and read by ahel’s review.
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 compileormvn compilebefore applying any change - SAFETY: If compilation fails, stop immediately
- VERIFY: Run
./mvnw clean verifyormvn clean verifyafter 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
- Read reference and assess project context
Read references/312-frameworks-spring-data-jdbc.md and inspect the current project setup before proposing changes.
- Gather scope and decide target improvements
Identify requested outcomes, constraints, and the minimum safe set of changes to apply.
- Apply framework-aligned changes
Implement or refactor configuration/code following the reference patterns and project conventions.
- 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.
Signals
- GitHub stars
- 439
- Forks
- 92
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
x-312-frameworks-spring-data-jdbc- Source
- github.com/jabrena/plinth