Home > Web Front-end > JS Tutorial > How Can I Reduce Memory Consumption When Using Promise.all with a Large Number of Promises?

How Can I Reduce Memory Consumption When Using Promise.all with a Large Number of Promises?

DDD
Release: 2024-11-12 18:58:02
Original
522 people have browsed it

How Can I Reduce Memory Consumption When Using Promise.all with a Large Number of Promises?

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
});
Copy after login

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.

The above is the detailed content of How Can I Reduce Memory Consumption When Using Promise.all with a Large Number of Promises?. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template