Category : Spring Boot | Sub Category : Spring Boot | By Prasad Bonam Last updated: 2023-07-09 09:36:52 Viewed : 574
Asynchronous REST API implementation
Here is an example of an asynchronous REST API implementation using Java is Spring Boot framework with the CompletableFuture
class for asynchronous processing:
First, you wll need to set up a Spring Boot project and include the necessary dependencies in your pom.xml
file.
xml<!-- Spring Boot Web -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
Next, you can create a simple asynchronous REST API endpoint:
javaimport org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.util.concurrent.CompletableFuture;
@RestController
@RequestMapping("/api")
public class AsyncApiController {
@GetMapping("/data")
public CompletableFuture<String> fetchData() {
return CompletableFuture.supplyAsync(() -> {
// Simulating a time-consuming operation
try {
Thread.sleep(3000);
} catch (InterruptedException e) {
e.printStackTrace();
}
return "Data fetched asynchronously";
});
}
}
In this example, the /api/data
endpoint returns a CompletableFuture<String>
. The CompletableFuture.supplyAsync()
method is used to execute the data-fetching operation asynchronously. You can replace the data-fetching logic with your own implementation that performs an actual asynchronous operation, such as fetching data from a database or making an external API call.
Finally, you can run the Spring Boot application and test the asynchronous API endpoint. You can use tools like cURL or Postman to send a GET request to http://localhost:8080/api/data
. The response will be delayed by the simulated time-consuming operation and will eventually return the fetched data.
Keep in mind that this is a basic example to demonstrate the asynchronous behavior of a REST API using CompletableFuture. In a real-world scenario, you might have more complex asynchronous operations, error handling, and data processing logic within your REST API.