DEV Community: Shashank Trivedi

Upload Operation in AWS S3 Bucket using SpringBoot REST API

Shashank Trivedi — Thu, 02 Feb 2023 14:19:30 +0000

Steps Follows on AWS

Account Creation
Amazon S3 Bucket Creation
Access Key Creation

Steps Follows on SpringBoot

SpringBoot Project Creation
Add AWS Dependency
Metthod Creation
Check the API

First Step Create Account in AWS

1.) Go to AWS Free tier section

2.) Account created Sucessfully Message

3.) Go the AWS Management console section

4.) Search S3 bucket on aws management panel

5.) Create bucket

6.) write unique name of the bucket and then click to create

7.) After created the bucket go to the security credentials

8.) Create Access Key

9.) Copy Access key And Screet in Notepad

Second Step for the SpringBoot

1.) Generate SpringBoot project using Spring Initializer

2.) Extract the zip file and Open the project in IntelijIDEA

3.) Create Controller and Service package inside the main package and create the BucketController and BucketService class

4.) Write some details on application.properties file

5.) import the aws core dependency
<dependency> <groupId>com.amazonaws</groupId> <artifactId>aws-java-sdk</artifactId> <version>1.11.486</version> </dependency>

6.) Create the AWS Config class inside the Configuration package


package com.shashank.bucketProject.configuration;
import com.amazonaws.auth.AWSCredentials;
import com.amazonaws.auth.AWSStaticCredentialsProvider;
import com.amazonaws.auth.BasicAWSCredentials;
import com.amazonaws.services.s3.AmazonS3;
import com.amazonaws.services.s3.AmazonS3ClientBuilder;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
    @Configuration
    public class AWSConfig {
        @Value("${access-key}")
        private String accessKey;

        @Value("${secret-key}")
        private String accessSecret;
        @Value("${region}")
        private String region;

        @Bean
        public AmazonS3 s3Client() {
            AWSCredentials credentials = new BasicAWSCredentials(accessKey, accessSecret);
            System.out.println("Hello AWS");
            return AmazonS3ClientBuilder.standard()
                    .withCredentials(new AWSStaticCredentialsProvider(credentials))
                    .withRegion(region).build();
        }
    }

7.) write some code in BucketService class

package com.shashank.bucketProject.service;

import com.amazonaws.services.s3.AmazonS3;
import com.amazonaws.services.s3.model.PutObjectRequest;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
import org.springframework.web.multipart.MultipartFile;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
 @Service
    public class BucketService {
        @Value("${bucket-name}")
        private String bucketName;
        @Autowired
        private AmazonS3 amazonS3;

        public String uploadFile(MultipartFile file) {
            File fileObj = convertMultiPartFileToFile(file);
            String fileName =  file.getOriginalFilename();
            amazonS3.putObject(new PutObjectRequest(bucketName, fileName, fileObj));
            fileObj.delete();
            return "File uploaded : " + fileName;
        }
        private File convertMultiPartFileToFile(MultipartFile file) {
            File convertedFile = new File(file.getOriginalFilename());
            try (FileOutputStream fos = new FileOutputStream(convertedFile)) {
                fos.write(file.getBytes());
            } catch (IOException e) {
                System.out.println("Error converting multipartFile to file" + e);
            }
            return convertedFile;
        }
}

8.) write some code in BucketController class

package com.shashank.bucketProject.controller;

import com.shashank.bucketProject.service.BucketService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.http.HttpStatus;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.*;
import org.springframework.web.multipart.MultipartFile;

@RestController
@RequestMapping("/api")
public class BucketController {

    @Autowired
    private BucketService bucketService;

    @PostMapping("/upload")
    public ResponseEntity<String> uploadFile(@RequestParam(value = "file") MultipartFile file) {
        return new ResponseEntity<>(bucketService.uploadFile(file), HttpStatus.OK);
    }
}

9.) Before Running the project change the version of spring application 2.7.8

10.) Run the springboot Application

11.) Open the Postman and check the api is working or not

12.) Now check on the aws file is uploaded or not

SpringBoot + ReactJs Web Application Deploy on Azure

Shashank Trivedi — Sun, 08 Jan 2023 13:14:28 +0000

Greetings to everyone,
I am Shashank Today I want to tell you how you can deploy Springboot and Reactjs application in Azure. So without worrying about this how to do it. Follow these following steps.
I will deploy springboot and recatjs application in azure appservice. So before going to azure appservice let's have a look what is azure appservice.

Azure AppService

Azure App Service is an HTTP-based service for hosting web applications, REST APIs, and mobile back ends. You can develop in your favorite language, be it .NET, .NET Core, Java, Ruby, Node.js, PHP, or Python. Applications run and scale with ease on both Windows and Linux-based environments.

App Service not only adds the power of Microsoft Azure to your application, such as security, load balancing, autoscaling, and automated management. You can also take advantage of its DevOps capabilities, such as continuous deployment from Azure DevOps, GitHub, Docker Hub, and other sources, package management, staging environments, custom domain, and TLS/SSL certificates.

Follow the Following Steps to deploy the Application in Azure

1.) Start the SpringBoot Application in localhost

Before deploying the Application in azure check the Application is perfectly running on localhost or not. If the application running on localhost perfectly then deploying the application on azure.

2.) Download the Filezila File Transfer Application

The next step of the deploying the application on azure is download the latest version of the FileZila software. After download the application open this application and configure all the access.

3.) Add the below dependancy in pom.xml file

<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-tomcat</artifactId> <scope>provided</scope> </dependency>

above dependancy code add on the
<dependencies></dependencies>
section.

4.) Run the following Maven Command

First command is
mvn clean
Second command is
mvn install
You can run this command go to the maven section in InteliJ IDEA.

5.) Genrate war file

after mvn install command a war file is generated.
if war file is not generated then add this code in pom.xml after the artifact id and version of the project. and again run maven install command
<packaging>war</packaging>

6.) Create App Service in Azure

For Creating app service in Azure follow following steps.

a.) Go to Azure and select the Create a Resourse option

b.) Choose the Create Web App option

c.) Write the name of the project and select the Java & Tomcat version which is used in the project

d.) Click the Create option

e.) Click the Go to Resourse option

f.) Stop the web App

7.) Copy the Username, Password & FTPS endpoints in App Service

8.) Paste these details in FileZila

Ftps end point address paste in the host section then paste the username and password then click on quick connect option. after seccuessflly connected show the details in right section.

9.) Create the webapps folder in wwwroot folder using right click create directory option and delete the hostingstart.html

10.) Deploy the war file in webapps folder using right click upload option.

11.) Start the Azure Web App

12.) Final Result

finally Springboot + RecatJs application running on the azure server.