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(); $inspect(result); const handleClick = async () => { const response = await fetch("/", { method: "post" }); const reader = await response.body.getReader(); while (true) { const { done, value } = await reader.read(); if (done) break; result = JSON.parse(new TextDecoder().decode(value)); } setTimeout(() => (result = undefined), 3e3); }; </script> {#if result?.error} <div> <p>Here is the output:</p> <p><img src="/static/imghw/default1.png" data-src="https://img.php.cn/upload/article/000/000/000/173785153552047.jpg" class="lazy" alt="background jobs demo using sveltekit and bullmq" loading="lazy" style="max-width:90%" style="max-width:90%" data-animated="true"></p> <hr> <h3> Bonus ? </h3> <p>You can also mount a bull-board dashboard in your SvelteKit app for easy monitoring of background jobs.</p> <p>Install bull-board dependencies<br> </p> <pre class="brush:php;toolbar:false">pnpm i -D @bull-board/api @bull-board/hono @hono/node-server hono
and modify your hooks.server.js:
// src/hooks.server.js import { building } from "$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); };
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