LeetCode 2795: Parallel Execution of Promises for Individual Results Retrieval Solution

Master LeetCode problem 2795 (Parallel Execution of Promises for Individual Results Retrieval), a medium challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.

2795. Parallel Execution of Promises for Individual Results Retrieval

Medium

Problem Explanation

Explanation

To solve this problem, we will use the concept of parallel execution of promises. We will create multiple promises that represent individual tasks that need to be executed concurrently. Each promise will retrieve its result independently, and we will wait for all promises to complete before returning the final results.

Here is the algorithm:

Create a list of promises, each representing an individual task that needs to be executed.
Execute all promises concurrently to retrieve their results.
Wait for all promises to complete.
Return the results of all promises.

Time Complexity: O(n), where n is the number of promises/tasks Space Complexity: O(n), for storing the promises

Solution Code

import java.util.List;
import java.util.concurrent.CompletableFuture;
import java.util.stream.Collectors;

public class Solution {
    public List<Integer> executePromises(List<CompletableFuture<Integer>> promises) {
        CompletableFuture<Void> allOf = CompletableFuture.allOf(promises.toArray(new CompletableFuture[0]));
        return allOf.thenApply(v -> promises.stream()
                .map(CompletableFuture::join)
                .collect(Collectors.toList()))
                .join();
    }
}

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