How can I effectively manage memory usage when using Promise.all with a large number of promises?

Promise.all Exhausting Memory

Issue:

When awaiting a vast array of promises with Promise.all, memory consumption can skyrocket if the resolved data isn't immediately utilized. This scenario arises when the promise data is not crucial for processing.

Solution:

To minimize memory consumption, employ the following strategies:

1. Limit Concurrent Requests:

   Divide the promise array into smaller chunks and process them sequentially with a limited number of concurrent requests. This approach prevents excessive memory allocation.

2. Replace Resolved Data:

   If the resolved data is redundant, consider replacing it with a small placeholder, such as a number. This frees up memory previously occupied by unnecessary data.

3. Custom Function for Limited Concurrency:

   Implement a custom function like mapConcurrent to control the number of concurrent requests. This function iterates through the array while maintaining a specified concurrency limit.

Code Example for Memory Optimization:

const p = backgroundScheduler.getClanProfile(clanTags[i], true).then(data => {
  return 0; // Placeholder: Replace resolved data with a number
});
promiseArray.push(p);

Additional Considerations:

• Experiment with Concurrency Limit: Determine the optimal concurrency limit (X) that balances memory usage and performance.
• Parallel Host Requests: If requests are distributed across different hosts, increasing X may be beneficial.
• Library Support: Consider using libraries like Bluebird's Promise.map() that provide concurrency control mechanisms.

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