deno_drop
Manage your programs resource memory. Check out its impact on memory usage
Do not use in production - A lot of the code depends on internal Deno APIs that can change anytime. Intead, consider consuming your resources (like
await response.arrayBuffer()onResponse) to free up memory.
Impact
Here we have a long running loop pinging a local server. The request is stored as a resource in Deno's internal resource table.
import { drop, FetchResource } from "https://deno.land/x/[email protected]/mod.ts";
for (let i = 0; i < 1e4; i++) {
await fetch("http://localhost:8000/images.png");
// With `drop` : 17.8mb
// Without `drop` (default) : 200.1mb
drop(FetchResource);
}Doing this will create 10000 resources for every request made. Which can take
up a LOT of memory.
By adding the drop(FetchResource), you will notice the memory consumption
decrease drastically.
Examples
import {
drop,
TextDecoderResource,
} from "https://deno.land/x/[email protected]/mod.ts";
const decoder = new TextDecoder();
decoder.decode(new Uint8Array([1, 2, 3]), { stream: true });
drop(TextDecoderResource);import { drop } from "https://deno.land/x/[email protected]/mod.ts";
const adapter = await navigator.gpu.requestAdapter();
const device = await adapter?.requestDevice();
drop(device);
drop(adapter);License
MIT