This content originally appeared on DEV Community and was authored by Ranjan Purbey
Is your SvelteKit app struggling with tasks like sending emails, resizing images, or processing data? With BullMQ, you can offload these heavy jobs to the background and keep your app lightning-fast. In this post, we’ll show you how to set it up and tackle real-world tasks like a pro. Let’s dive in!
tl;dr Set up BullMQ workers in
hooks.server.js
. Check out the example
What is BullMQ?
BullMQ is a Node.js library for creating and managing job queues with Redis. It helps you run time-consuming tasks in the background efficiently. With built-in features like retries, job scheduling, and concurrency control, BullMQ makes handling complex workflows in your app simple and reliable.
Step 1: Install dependencies
First, install ioredis
(Redis client for node.js) and bullmq
:
pnpm i -D ioredis bullmq
Even though you can add jobs to a bullmq queue from a serverless environment like Vercel, the workers must run on a traditional long-lived node.js server. Hence, replace adapter-auto
with adapter-node
:
pnpm rm @sveltejs/adapter-auto && pnpm i -D @sveltejs/adapter-node
Don't forget to update your Svelte config (svelte.config.js) with the newly installed node adapter.
Step 2: Setup Job Queue and Processor
Next, let's set up a BullMQ job queue and its processor. Create a .js
file in the src/lib/server/
directory:
// src/lib/server/background-jobs.js
import { REDIS_URL } from "$env/static/private";
import { Queue, Worker } from "bullmq";
import IORedis from "ioredis";
const Q_NAME = "q";
export const jobsQueue = new Queue(Q_NAME, {
connection: new IORedis(REDIS_URL),
});
const sleep = (t) => new Promise((resolve) => setTimeout(resolve, t * 100));
export const setupBullMQProcessor = () => {
new Worker(
Q_NAME,
async (job) => {
for (let i = 0; i <= 100; i++) {
await sleep(Math.random());
await job.updateProgress(i);
await job.log(`Processing job at interval ${i}`);
if (Math.random() * 200 < 1) throw new Error(`Random error at ${i}`);
}
return `This is the return value of job (${job.id})`;
},
// https://docs.bullmq.io/bull/patterns/persistent-connections#maxretriesperrequest
{ connection: new IORedis(REDIS_URL, { maxRetriesPerRequest: null }) }
);
};
Here, we've also created a utility function that instantiates a BullMQ worker to listen for and process jobs in the queue Q_NAME
.
We need to call this function in our hooks.server.js
file—either at the top level or within the init
hook.
// src/hooks.server.js
// ...
import { building } from "$app/environment";
import { setupBullMQProcessor } from "$lib/server/background-jobs";
// ...
if (!building) {
setupBullMQProcessor();
}
// ...
The !building
check skips setting up the worker (and in turn a Redis connection) during the build, speeding up the process.
🎉 BullMQ is now ready to be used in our SvelteKit app 🎉
Demo time
In order to test the setup, let's create a POST
endpoint to enqueue a job.
// src/routes/+server.ts
import { jobsQueue } from "$lib/server/background-jobs";
export const POST = async () => {
const { id: jobId } = await jobsQueue.add("job", {});
/*
The following code passes the job's progress to the client as a stream.
If you don't need to update the client with the progress, you can skip
the following. You can also use web-sockets or polling for that.
*/
const stream = new ReadableStream({
async pull(controller) {
const job = await jobsQueue.getJob(jobId);
controller.enqueue(
JSON.stringify(
job.failedReason
? { error: job.failedReason }
: job.returnvalue
? { data: job.returnvalue }
: { progress: job.progress }
)
);
controller.enqueue("\n");
if (job.finishedOn) {
controller.close();
}
// wait for 1-second before sending the next status update
await new Promise((r) => setTimeout(r, 1e3));
},
});
return new Response(stream, {
headers: { "content-type": "text/plain" },
});
};
And on the frontend, let's add a button to trigger the above endpoint and subsequently show the job's status:
<!-- src/routes/+page.svelte -->
<script>
let result = $state();
$inspect(result);
const handleClick = async () => {
const response = await fetch("/", { method: "post" });
const reader = await response.body.getReader();
while (true) {
const { done, value } = await reader.read();
if (done) break;
result = JSON.parse(new TextDecoder().decode(value));
}
setTimeout(() => (result = undefined), 3e3);
};
</script>
{#if result?.error}
<div class="error">{result.error}</div>
{:else if result?.data}
<div class="success">{result.data}</div>
{:else if result?.progress !== undefined}
<label>
{result.progress === 100 ? "Done" : "Processing..."}
<progress value={result.progress} max="100"></progress>
{result.progress}%
</label>
{:else}
<button onclick={handleClick}>Schedule Background Job</button>
{/if}
<style>
.error {
color: red;
}
.success {
color: darkgreen;
}
</style>
Here is the output:
Bonus 🎁
You can also mount a bull-board dashboard in your SvelteKit app for easy monitoring of background jobs.
Install bull-board dependencies
pnpm i -D @bull-board/api @bull-board/hono @hono/node-server hono
and modify your hooks.server.js
:
// src/hooks.server.js
import { building } from "$app/environment";
import { jobsQueue, setupBullMQProcessor } from "$lib/server/background-jobs";
import { createBullBoard } from "@bull-board/api";
import { BullMQAdapter } from "@bull-board/api/bullMQAdapter";
import { HonoAdapter } from "@bull-board/hono";
import { serveStatic } from "@hono/node-server/serve-static";
import { Hono } from "hono";
if (!building) {
setupBullMQProcessor();
}
const bullboard = (() => {
const serverAdapter = new HonoAdapter(serveStatic);
createBullBoard({
queues: [new BullMQAdapter(jobsQueue)],
serverAdapter,
});
const app = new Hono({ strict: false });
const basePath = "/jobs";
serverAdapter.setBasePath(basePath);
app.route(basePath, serverAdapter.registerPlugin());
return app;
})();
export const handle = async ({ event, resolve }) => {
if (event.url.pathname.match(/^\/jobs($|\/)/)) {
return bullboard.fetch(event.request);
}
return resolve(event);
};
Then visit <YOUR_SERVER_URL>/jobs
to see the bull-board dashboard
This content originally appeared on DEV Community and was authored by Ranjan Purbey

Ranjan Purbey | Sciencx (2025-01-25T22:24:43+00:00) Background Jobs in SvelteKit with BullMQ. Retrieved from https://www.scien.cx/2025/01/25/background-jobs-in-sveltekit-with-bullmq/
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