CRUD with PostgreSQL & JPA — Spring Boot 3.4 Architecture Blueprint

Scaffold production-ready CRUD with PostgreSQL & JPA for Spring Boot 3.4: Production relational persistence featuring Spring Data JPA, PostgreSQL, Liquibase/Flyway migrations, and HikariCP. Pre-wired JPA, starters, and Docker Compose.

Overview & Architecture Pattern

Production relational persistence featuring Spring Data JPA, PostgreSQL, Liquibase/Flyway migrations, and HikariCP.

Architecture Pattern: Data & Persistence

Primary Use Case: Production relational backends requiring automated schema migrations and ACID transactions.

Included Dependencies & Starters

spring-boot-starter-web, data-jpa, postgresql, flyway / liquibase, validation

Domain Entities & Scaffolding Defaults

Customer (UUID, firstName, lastName, email, phone), Address (street, city, state, zipCode, country)

Quickstart: Running Your Project

# 1. Start required infrastructure containers
docker compose up -d

# 2. Run the Spring Boot 3.4 application (Maven)
./mvnw spring-boot:run

# Or run with Gradle
./gradlew bootRun

Frequently Asked Questions

What starters are included in the CRUD with PostgreSQL & JPA blueprint?
The CRUD with PostgreSQL & JPA blueprint includes spring-boot-starter-web, data-jpa, postgresql, flyway / liquibase, validation, pre-configured application.yml properties, and production-ready connection pools.
How do I run the generated CRUD with PostgreSQL & JPA project locally?
Extract the downloaded ZIP, start dependencies with 'docker compose up -d', and execute './mvnw spring-boot:run' (Maven) or './gradlew bootRun' (Gradle).
Can I customize entities and database schemas in this blueprint?
Yes, SpringForge allows you to visually add or modify JPA entities, field types, validation rules, and relational mappings, or import SQL DDL schemas.