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Demo on how to use ng4 to upload binary file and images to spring

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spring-boot-ng4-upload-demo

Demo project on how upload and process excel, binary file (.e.g, pdf) and image file in the spring boot + Web Socket + Angular 4

Features

  • Upload and process Excel file
  • Allow Async callback and websocket to report progress on loading data into database (mocked database used here)
  • Allow Large file upload and long running process using guava concurrency
  • download binary or image file from server using JSON POST in Angular 4
  • Upload binary and image file to server in Angular 4

Usage

If you are using IntelliJ

Open the project in IntelliJ

Go to src/java/com.github.chen0040.bootslingshot and right-click SpringSlingshotApplication and select "Run main()" in IntelliJ

Navigate to your web browser to http://localhost:9300

Angular 4 Application

To run the angular application that communicate with the spring-boot-application:

cd ng4-application
npm install
ng serve --proxy-config proxy.conf.json --host 0.0.0.0 --disable-host-check --port 8080

This will start the angular application at http://localhost:8080

After the angular site is launched, if you have not login before, click the login button on the page, you can authenticate using any account below:

  • username: admin password: admin
  • username: user password: user

The websocket implementation that subscribe to "/topics/" + token + "/event" websocket topic of the spring-boot-application can be found in the app.service.ts and app.component.ts

Upload PDF File

Once at http://localhost:8080, click "Select File" button under the section "Upload PDF File", and select the binary file to upload, the uploaded binary file will be displayed in the "Listing PDF Files" section.

Upload Image File

Once at http://localhost:8080, click "Select File" button under the section "Upload Image File", and select the image file to upload, the uploaded binary file will be displayed in the "Listing Image Files" section.

Upload Excel File

Once at http://localhost:8080, click "Excel Sample Download" to download a csv sample, then click "Choose File" to load the downloaded Excel sample,and then click "Upload Excel", you will notice that as the product is being saved on the remote server, the web page keeps on updating the progress (done using websocket and sockjs). At the backend, the Thread.sleep is used to simulate long running process.

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