CompletableFuture in Java

CompletableFuture in Java | Generated by AI

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In a Java Spring Boot project, there’s no direct equivalent to JavaScript’s Promise.all, which waits for multiple promises to complete and provides their results. However, you can achieve similar functionality—running multiple tasks concurrently in a for loop and using their results after all threads complete—using CompletableFuture from the java.util.concurrent package, specifically with the CompletableFuture.allOf method. This approach is well-suited for a Spring Boot project, especially when combined with Spring’s asynchronous programming features. Below, I’ll explain how to do this step-by-step, including a complete example.

Why `CompletableFuture`?

CompletableFuture (introduced in Java 8) allows you to perform asynchronous operations and manage their completion. The allOf method takes multiple CompletableFuture instances and returns a new CompletableFuture that completes when all the given futures are done, making it ideal for your scenario where you want to:

Execute tasks in parallel within a for loop.
Wait for all tasks to finish.
Use the results afterward.

Steps to Implement

Here’s how you can structure your solution in a Spring Boot project:

Define the Asynchronous Tasks
Each iteration of your for loop represents a task that can run independently. These tasks will return CompletableFuture instances, representing their eventual results.
Collect the Futures
Store all CompletableFuture objects in a list as you create them in the loop.
Wait for All Tasks to Complete
Use CompletableFuture.allOf to combine the futures into a single future that completes when all tasks are finished.
Retrieve and Use the Results
After all tasks are complete, extract the results from each CompletableFuture and process them as needed.
Handle Exceptions
Account for potential errors during task execution.

Example Implementation

Let’s assume you have a list of items to process concurrently (e.g., calling a service or performing some computation). Here are two approaches: one using Spring’s @Async annotation and another using CompletableFuture.supplyAsync.

Approach 1: Using `@Async` with Spring

Spring Boot provides the @Async annotation to run methods asynchronously. You’ll need to enable async support in your application.

Step 1: Enable Async Support Add the @EnableAsync annotation to a configuration class or your main application class:

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.scheduling.annotation.EnableAsync;

@SpringBootApplication
@EnableAsync
public class Application {
    public static void main(String[] args) {
        SpringApplication.run(Application.class, args);
    }
}

Step 2: Define a Service with an Async Method Create a service with a method that processes each item asynchronously:

import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;
import java.util.concurrent.CompletableFuture;

@Service
public class MyService {

    @Async
    public CompletableFuture<String> processItem(String item) {
        // Simulate some work (e.g., I/O or computation)
        try {
            Thread.sleep(1000); // 1-second delay
        } catch (InterruptedException e) {
            Thread.currentThread().interrupt();
            return CompletableFuture.completedFuture("Interrupted: " + item);
        }
        return CompletableFuture.completedFuture("Processed: " + item);
    }
}

Step 3: Process Items in a Controller or Service In your controller or another service, use a for loop to submit tasks and wait for all results:

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;
import java.util.concurrent.CompletableFuture;

@Component
public class ItemProcessor {

    @Autowired
    private MyService myService;

    public List<String> processItems(List<String> items) {
        // List to hold all futures
        List<CompletableFuture<String>> futures = new ArrayList<>();

        // Submit each task in the for loop
        for (String item : items) {
            CompletableFuture<String> future = myService.processItem(item);
            futures.add(future);
        }

        // Wait for all tasks to complete
        CompletableFuture<Void> allFutures = CompletableFuture.allOf(
            futures.toArray(new CompletableFuture[0])
        );

        // Block until all tasks are done
        allFutures.join();

        // Collect results
        List<String> results = futures.stream()
            .map(CompletableFuture::join) // Get each result
            .collect(Collectors.toList());

        return results;
    }
}

Usage Example:

List<String> items = Arrays.asList("Item1", "Item2", "Item3");
List<String> results = itemProcessor.processItems(items);
System.out.println(results); // Prints: [Processed: Item1, Processed: Item2, Processed: Item3]

Approach 2: Using `CompletableFuture.supplyAsync`

If you prefer not to use @Async, you can manually manage threads with an Executor and CompletableFuture.supplyAsync.

Step 1: Configure a Thread Pool Define a TaskExecutor bean to control the thread pool:

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import org.springframework.core.task.TaskExecutor;

@Configuration
public class AsyncConfig {

    @Bean
    public TaskExecutor taskExecutor() {
        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(5);    // Number of threads to keep in the pool
        executor.setMaxPoolSize(10);    // Maximum number of threads
        executor.setQueueCapacity(25);  // Queue capacity for pending tasks
        executor.initialize();
        return executor;
    }
}

Step 2: Process Items with supplyAsync Use the executor to run tasks asynchronously:

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import java.util.List;
import java.util.concurrent.CompletableFuture;
import java.util.stream.Collectors;
import org.springframework.core.task.TaskExecutor;

@Component
public class ItemProcessor {

    @Autowired
    private TaskExecutor taskExecutor;

    public List<String> processItems(List<String> items) {
        // Create futures using supplyAsync
        List<CompletableFuture<String>> futures = items.stream()
            .map(item -> CompletableFuture.supplyAsync(() -> processItem(item), taskExecutor))
            .collect(Collectors.toList());

        // Wait for all tasks to complete
        CompletableFuture.allOf(futures.toArray(new CompletableFuture[0])).join();

        // Collect results
        List<String> results = futures.stream()
            .map(CompletableFuture::join)
            .collect(Collectors.toList());

        return results;
    }

    private String processItem(String item) {
        // Simulate some work
        try {
            Thread.sleep(1000);
        } catch (InterruptedException e) {
            Thread.currentThread().interrupt();
            return "Interrupted: " + item;
        }
        return "Processed: " + item;
    }
}

Key Points

Waiting for Completion: CompletableFuture.allOf(...).join() or .get() ensures the main thread waits until all tasks finish. Use join() to avoid handling checked exceptions; it throws CompletionException if a task fails.
Exception Handling: Wrap the .join() or .get() call in a try-catch block if you need to handle exceptions:

try {
    allFutures.get();
} catch (InterruptedException e) {
    Thread.currentThread().interrupt();
    // Handle interruption
} catch (ExecutionException e) {
    // Handle task failures
    e.printStackTrace();
}

Thread Pool Configuration: Adjust the thread pool size based on your workload. For I/O-bound tasks (e.g., database calls, API requests), a larger pool (e.g., 5–10 threads) is fine. For CPU-bound tasks, match the number of CPU cores (e.g., Runtime.getRuntime().availableProcessors()).
Result Order: The results maintain the order of the input list since futures are collected in the same order as the loop.

Which Approach to Choose?

Use @Async if your tasks are naturally part of a Spring service and you want Spring to manage threading. It’s cleaner and integrates well with Spring Boot.
Use supplyAsync if you need more control over task execution or don’t want to rely on Spring’s async framework.

Final Answer

To replicate Promise.all in a Java Spring Boot project for a for-loop job where you want to use thread results after multithreaded execution, use CompletableFuture.allOf with a list of CompletableFuture instances. The @Async approach with Spring is recommended for simplicity, but supplyAsync with a custom executor works too. The example above with @Async demonstrates this:

Create CompletableFuture instances in a for loop using an @Async method.
Use CompletableFuture.allOf to wait for all tasks.
Collect and use the results after completion.

This ensures all tasks run concurrently, and you can process their results once they’re all done, meeting your requirements effectively.

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