A comprehensive, real-world Spring Boot application that simulates an enterprise-grade Employee Management Portal. This portal provides complete CRUD functionality and advanced data handling features such as:
Dynamic Filtering & Search: Query employees based on multiple optional fields like name, department, role, salary range, and joining date.
Pagination & Sorting: Efficient navigation through large datasets using Spring Data JPA’s built-in pagination and sorting capabilities.
Advanced Querying: Incorporates JPQL, Criteria API, Native SQL, and Specifications to support dynamic and complex queries.
Projections: Optimizes performance with interface-based, DTO-based, and nested projections.
Entity Relationships: Demonstrates one-to-one, one-to-many, and many-to-many mappings with real-world relevance (e.g., Employee–Department, Employee–Projects).
Validation & Error Handling: Ensures data integrity and returns meaningful status codes and error responses.
Transactional Operations: Covers updates and bulk operations with transaction boundaries and concurrency control.
Performance Tuning: Showcases best practices including fetch strategies, indexing hints, and caching options.
This example is designed to simulate real business requirements and demonstrate how to build scalable and maintainable persistence layers using Spring Boot + Spring Data JPA + Hibernate.
Tools, Libraries & Technologies
Language: Java 17+
Framework: Spring Boot 3.x
Persistence: Spring Data JPA with Hibernate (as JPA Provider)
Database: Oracle Database 19c+
Build Tool: Maven
REST: Spring Web
Validation: Jakarta Validation (Hibernate Validator)
Testing: JUnit 5, Mockito, Testcontainers (for Oracle or H2)
IDE: IntelliJ IDEA / Eclipse
Others: Lombok (for reducing boilerplate)
ER Diagram
Plant UML File
@startuml
' Entity: Employee
entity Employee {
* id : Long <<PK>>
--
name : String
email : String
phone : String
hire_date : Date
department_id : Long <<FK>>
address_id : Long <<FK>>
}
' Entity: Department
entity Department {
* id : Long <<PK>>
--
name : String
location : String
}
' Entity: Address
entity Address {
* id : Long <<PK>>
--
street : String
city : String
state : String
zip : String
country : String
}
' Entity: Project
entity Project {
* id : Long <<PK>>
--
name : String
client : String
budget : Double
}
' Join Table: employee_project (Many-to-Many)
entity employee_project {
* employee_id : Long <<FK>>
* project_id : Long <<FK>>
}
' Entity: Salary
entity Salary {
* id : Long <<PK>>
--
employee_id : Long <<FK>>
base_salary : Double
bonus : Double
deductions : Double
month : String
year : Integer
status : String
}
' Entity: PaymentHistory
entity PaymentHistory {
* id : Long <<PK>>
--
salary_id : Long <<FK>>
payment_date : Date
amount_paid : Double
payment_mode : String
remarks : String
}
' Relationships
Employee }o--|| Department : belongs_to
Employee }o--|| Address : has_one
Employee ||--o{ employee_project : assigned_to
Project ||--o{ employee_project : assigned_with
Employee ||--o{ Salary : earns
Salary ||--o{ PaymentHistory : tracked_by
@enduml
Folder Structure
com.company.employeeportal
│
├── config # Spring and application configuration (DataSource, Swagger, CORS, etc.)
│
├── constants # Application-wide constants and enums
│
├── controller # REST controllers for handling HTTP requests
│
├── dto # Data Transfer Objects for request/response bodies
│
├── entity # JPA entity classes (Employee, Department, Salary, etc.)
│
├── exception # Custom exceptions and global exception handling
│
├── mapper # MapStruct or manual mappers (Entity <-> DTO)
│
├── repository # Spring Data JPA repositories
│
├── service
│ ├── impl # Implementations of service interfaces
│ └── spec # JPA Specification classes for dynamic querying
│
├── util # Utility/helper classes (DateUtils, PaginationUtils, etc.)
│
├── validation # Custom validators and annotation-based rules
│
└── payload # Generic API response structures (ApiResponse, PageResponse, etc.)
We may optionally add a security package if the portal includes authentication/authorization.
If internationalization is needed, add a i18n or messages package.
If salary logic grows complex, you could even modularize it further with salary, payroll, or finance sub-packages under service, controller, entity, etc.
The employee_project table is a join table handled implicitly by the @ManyToMany mappings in both Employee and Project, so no separate entity is required unless we want to add extra fields (like assignment date).