Managing Memory Consumption in Promise.all
In certain scenarios where a large number of promises are used, as exemplified by the provided code, memory consumption can become an issue. Specifically, the issue arises when the resolved data from each promise is unnecessary and consumes a significant amount of memory.
To address this problem, it is recommended to limit the number of promises that are active or in flight simultaneously, rather than having all 58k promises aktif simultaneously. This can be achieved by setting a concurrency limit to X. When a promise is resolved, the next one in the queue can be executed, ensuring that no more than X promises are active at any given time.
Alternatively, if the resolved data is not required, it can be replaced with a simple value to minimize memory consumption. The code example provided demonstrates how to achieve this:
const p = backgroundScheduler.getClanProfile(clanTags[i], true).then(data => { return 0; // make resolved value just be a simple number // so other data is now eligible for GC });
For custom implementation of promise concurrency management, the mapConcurrent function can be used. It iterates through an array of items, executing a function that returns a promise, and only allowing a maximum of X requests in flight at any given time.
By managing the number of promises in flight, you can effectively reduce memory consumption while still ensuring efficient execution of asynchronous operations.
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