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Concurrency-Limited Map (order-preserving)

By FrontendAtlas Team · Updated Jan 31, 2026

Implement a concurrency-limited async map that preserves order. Run at most N promises at a time, resolve results in input order, and reject early on errors to avoid hanging work.

What you’ll build / What this tests

This premium javascript coding focuses on Concurrency-Limited Map (order-preserving). You’ll apply async and concurrency thinking with hard level constraints. The prompt emphasizes Implement a concurrency-limited async map that preserves order. Run at most N promises at a time,….

Learning goals

  • Translate the prompt into a clear javascript API signature and return shape.
  • Apply async, concurrency, promise techniques to implement concurrency-limited map (order-preserving).
  • Handle hard edge cases without sacrificing readability.
  • Reason about time/space complexity and trade-offs in javascript.

Key decisions to discuss

  • Define the exact input/output contract before coding.
  • Decide on concurrency and error propagation behavior.
  • Prioritize predictable edge-case handling over micro-optimizations.

Evaluation rubric

  • Correctness: covers required behaviors and edge cases.
  • Clarity: readable structure and predictable control flow.
  • Complexity: avoids unnecessary work for large inputs.
  • API discipline: no mutation of inputs; returns expected shape.
  • Testability: solution is easy to unit test.

Constraints / Requirements

  • Avoid prototype pitfalls when reading object keys.
  • Handle async flow without blocking the event loop.
  • Return a Promise and resolve asynchronously without blocking.
  • Handle empty or missing inputs without throwing errors.
  • Keep runtime close to linear time where possible.
  • Prefer a pure function: no side effects beyond the return value.

Mini snippet (usage only)

// Example usage
const items = /* concurrency-limited map (order-preserving) input */;
const limit = /* config */;
const result = await mapAsyncLimit(items, limit);
console.log(result);

// Edge case check
const empty = items && limit ?? null;
const fallback = await mapAsyncLimit(items, limit);
console.log(fallback);

// Expected: describe output shape, not the implementation
// (no solution code in preview)

Common pitfalls

  • Mutating inputs instead of returning a new value.
  • Skipping edge cases like empty input, duplicates, or nulls.
  • Forgetting to await or return the Promise.
  • Overlooking time complexity for large inputs.

Related questions

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