Spring Boot with PostgreSQL Using Docker Compose

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Docker Compose is a tool for defining and running multi-container Docker applications. With Docker Compose, you can define a multi-container environment that includes your Spring Boot application and a PostgreSQL database. This guide will walk you through the process of setting up a Spring Boot application with PostgreSQL using Docker Compose.

Prerequisites

JDK 17 or later
Maven or Gradle
Docker and Docker Compose installed on your machine
IDE (IntelliJ IDEA, Eclipse, etc.)

Step 1: Set Up a Spring Boot Project

Use Spring Initializr to create a new project with the following configuration:

Project: Maven Project
Language: Java
Spring Boot: 3.2.x
Dependencies: Spring Web, Spring Data JPA, PostgreSQL Driver

Download and unzip the project, then open it in your IDE.

Example Spring Boot Application

Create a simple Spring Boot application that connects to PostgreSQL and includes a REST controller.

1.1 Application Class

package com.example.demo;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class DemoApplication {

    public static void main(String[] args) {
        SpringApplication.run(DemoApplication.class, args);
    }
}

1.2 Entity Class

Create a Student entity in the com.example.demo.entity package.

package com.example.demo.entity;

import jakarta.persistence.Entity;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.GenerationType;
import jakarta.persistence.Id;

@Entity
public class Student {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;
    private String name;
    private String email;

    // Getters and setters
    public Long getId() {
        return id;
    }

    public void setId(Long id) {
        this.id = id;
    }

    public String getName() {
        return name;
    }

    public void setName(String name) {
        this.name = name;
    }

    public String getEmail() {
        return email;
    }

    public void setEmail(String email) {
        this.email = email;
    }
}

1.3 Repository Interface

Create a StudentRepository interface in the com.example.demo.repository package.

package com.example.demo.repository;

import com.example.demo.entity.Student;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.stereotype.Repository;

@Repository
public interface StudentRepository extends JpaRepository<Student, Long> {
}

1.4 Service Class

Create a StudentService class in the com.example.demo.service package.

package com.example.demo.service;

import com.example.demo.entity.Student;
import com.example.demo.repository.StudentRepository;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.util.List;

@Service
public class StudentService {

    @Autowired
    private StudentRepository studentRepository;

    public List<Student> getAllStudents() {
        return studentRepository.findAll();
    }

    public Student saveStudent(Student student) {
        return studentRepository.save(student);
    }
}

1.5 REST Controller

Create a StudentController class in the com.example.demo.controller package.

package com.example.demo.controller;

import com.example.demo.entity.Student;
import com.example.demo.service.StudentService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RestController;

import java.util.List;

@RestController
public class StudentController {

    @Autowired
    private StudentService studentService;

    @GetMapping("/students")
    public List<Student> getAllStudents() {
        return studentService.getAllStudents();
    }

    @PostMapping("/students")
    public Student saveStudent(@RequestBody Student student) {
        return studentService.saveStudent(student);
    }
}

1.6 `application.properties` Configuration

Configure your application to use PostgreSQL. In the src/main/resources directory, create or update the application.properties file.

# src/main/resources/application.properties

spring.datasource.url=jdbc:postgresql://localhost:5432/testdb
spring.datasource.username=postgres
spring.datasource.password=password
spring.datasource.driver-class-name=org.postgresql.Driver

spring.jpa.hibernate.ddl-auto=update
spring.jpa.show-sql=true
spring.jpa.properties.hibernate.dialect=org.hibernate.dialect.PostgreSQLDialect

Step 2: Create Docker Compose Configuration

Docker Compose allows you to define and run multi-container Docker applications. You will create a docker-compose.yml file to define the services for your Spring Boot application and PostgreSQL database.

2.1 Create `docker-compose.yml`

Create a docker-compose.yml file in the root directory of your project.

version: '3.8'

services:
  postgres:
    image: postgres:14
    environment:
      POSTGRES_DB: testdb
      POSTGRES_USER: postgres
      POSTGRES_PASSWORD: password
    ports:
      - "5432:5432"
    volumes:
      - postgres_data:/var/lib/postgresql/data

  app:
    image: demo-app
    build:
      context: .
      dockerfile: Dockerfile
    ports:
      - "8080:8080"
    environment:
      SPRING_DATASOURCE_URL: jdbc:postgresql://postgres:5432/testdb
      SPRING_DATASOURCE_USERNAME: postgres
      SPRING_DATASOURCE_PASSWORD: password
    depends_on:
      - postgres

volumes:
  postgres_data:

Explanation:

postgres: Defines the PostgreSQL database service.
- image: Specifies the Docker image to use.
- environment: Sets the environment variables for the database.
- ports: Maps the container port to the host port.
- volumes: Persists the PostgreSQL data.
app: Defines the Spring Boot application service.
- image: Specifies the Docker image to use.
- build: Builds the Docker image using the specified Dockerfile.
- ports: Maps the container port to the host port.
- environment: Sets the environment variables for the Spring Boot application.
- depends_on: Ensures the PostgreSQL service is started before the Spring Boot application.

2.2 Create a Dockerfile

Create a Dockerfile in the root directory of your project.

# Use the official OpenJDK base image
FROM openjdk:17-jdk-alpine

# Set the working directory inside the container
WORKDIR /app

# Copy the built jar file into the container
COPY target/demo-0.0.1-SNAPSHOT.jar app.jar

# Expose port 8080
EXPOSE 8080

# Run the application
ENTRYPOINT ["java", "-jar", "app.jar"]

Step 3: Build and Run the Application

3.1 Build the Jar File

Run the following command to build the jar file of your Spring Boot application:

./mvnw clean package

3.2 Build and Run Docker Compose

Run the following command to build and start the Docker Compose services:

docker-compose up --build

3.3 Verify the Application

Open a web browser or a tool like Postman and navigate to the following URL to test the endpoints:

Retrieve all students:
- URL: http://localhost:8080/students
- Method: GET

Create a new student:

URL: http://localhost:8080/students
Method: POST

Body:

{
  "name": "Ramesh Fadatare",
  "email": "ramesh.fadatare@example.com"
}

Conclusion

In this tutorial, you have learned how to set up and run a Spring Boot application with PostgreSQL using Docker Compose. We covered:

Setting up a Spring Boot project with PostgreSQL.
Creating a Dockerfile for the Spring Boot application.
Creating a docker-compose.yml file to define the services.
Building and running the application using Docker Compose.

By following these steps, you can easily manage and deploy your Spring Boot application and its dependencies using Docker Compose.

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