How to make parallel calls in Java with CompletableFuture example


Dev-Bookmarks Logo

(P) Bookmarks.dev - Open source Bookmarks and Code Snippets Manager for Developers & Co. See our How To guides to help you get started. Public Bookmarks Repo on Github - Star


Some time ago I wrote how elegant and rapid is to make parallel calls in NodeJS with async-await and Promise.all capabilities. Well, it turns out in Java is just as elegant and succinct with the help of CompletableFuture which was introduced in Java 8. To demonstrate that let’s imagine that you need to retrieve a list of ToDos from a REST service, given their Ids. Of course you could iterate through the list of Ids and sequentially call the web service, but it’s much more performant to do it in parallel with asynchronous calls.

Here is the piece of code that might do just that:

import org.codingpedia.example;

import javax.inject.Inject;
import java.util.List;
import java.util.concurrent.CompletableFuture;
import java.util.function.Supplier;
import java.util.stream.Collectors;

public class ParallelCallsDemoService {

    @Inject
    RestApiClient restApiClient;

    public List<ToDo> getToDos(List<String> ids){

        List<CompletableFuture<ToDo>> futures =
                ids.stream()
                          .map(id -> getToDoAsync(id))
                          .collect(Collectors.toList());

        List<ToDo> result =
                futures.stream()
                        .map(CompletableFuture::join)
                        .collect(Collectors.toList());

        return result;
    }


    CompletableFuture<ToDo> getToDoAsync(String id){

        CompletableFuture<ToDo> future = CompletableFuture.supplyAsync(new Supplier<ToDo>() {
            @Override
            public ToDo get() {
                final ToDo toDo = restApiClient.getToDo(id);

                return toDo;
            }
        });

        return future;
    }

}

Notes:

  • the supplyAsync method takes a Supplier which contains the code you want to execute asynchronously - in this case this is where the REST call takes place…
  • you fire all the rest calls and you collect all the futures in a list
  • in the end you collect all the results with the help of the join() method - this returns the value of the CompletableFuture when complete, or throws an (unchecked) exception if completed exceptionally.
Subscribe to our newsletter for more code resources and news

Adrian Matei

Adrian Matei
Life force expressing itself as a coding capable human being

How to filter results list in Angular with input text

Real life example showing how to filter results list in Angular and its implementation with Angular pipes. Continue reading

GraphQL Resources to help you get started

Published on November 05, 2020