How would you architect a thread pool using Web Workers to process a large task queue efficiently?
Difficulty: 6/10
Web Workers, thread pool, task queue
Create a pool of workers, maintain a task queue, assign tasks to idle workers, and use postMessage for input/output. Handle worker errors and respawn if needed.
Worker pool pattern
Scenario Questions
0-2 years experience
1Suppose you need to offload image thumbnail generation to a Web Worker pool in a single‑page app. How would you set up the pool and assign each image task?
2If you have a queue of 50 small calculations and you create three Web Workers, what happens when a worker finishes its current job? How do you ensure the next task is processed?
2-5 years experience
1You added a Web Worker thread pool to handle user‑uploaded video transcoding, but the UI becomes sluggish after a few minutes. What could be causing the slowdown and how would you debug it?
2When scaling the worker pool from 2 to 8 workers, you start seeing memory spikes and occasional crashes. What trade‑offs would you consider and how would you adjust your design?
5-8 years experience
1Design a robust thread‑pool manager using Web Workers that can handle a dynamic task queue, back‑pressure, and graceful shutdown in a real‑time collaborative editor. What components would you include and why?
2How would you modify your Web Worker pool to support tasks that may fail or need retries, while preventing a single faulty task from exhausting the pool?
8+ years experience
1Your company is migrating a legacy monolithic data‑processing service to a client‑side Web Worker pool for offline analytics. What architectural considerations, cross‑team impacts, and long‑term maintenance strategies would you propose?
2If multiple teams need to share a common Web Worker pool library across different codebases, how would you design the API and versioning strategy to accommodate differing performance requirements and ensure backward compatibility?
Follow-up Questions
How would you detect and track when a worker becomes idle?
What metrics would you expose to monitor the pool in production?
How do you handle errors or crashes from a worker without losing pending tasks?
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