👀 Views: 23 💬 Answers: 1 📅 Created: 2025-08-06

google-cloud-functions firebase-authentication firestore javascript

I'm facing an issue with a Google Cloud Function that times out when invoked via an HTTP trigger. I'm using Firebase Authentication to secure this function and have noticed that the function often exceeds the 60-second execution limit. The function is supposed to process user data and store it in Firestore, but it seems to stall during the execution. Here's the relevant part of my function: ```javascript const functions = require('firebase-functions'); const admin = require('firebase-admin'); admin.initializeApp(); exports.processUserData = functions.https.onRequest(async (req, res) => { const idToken = req.headers.authorization.split('Bearer ')[1]; try { const decodedToken = await admin.auth().verifyIdToken(idToken); // Simulating data processing with a possible long-running operation const userData = await fetchUserData(decodedToken.uid); await storeToFirestore(userData); res.status(200).send('User data processed successfully.'); } catch (error) { console.error('Error processing user data:', error); res.status(500).send('Internal Server Error'); } }); async function fetchUserData(uid) { return new Promise((resolve) => { // Simulating long operation setTimeout(() => { resolve({ uid, data: 'sample data' }); }, 70000); // Simulate a delay that exceeds timeout }); } async function storeToFirestore(data) { // Firestore store operation } ``` I have adjusted the timeout settings in the GCP console to the maximum allowed (540 seconds), but the function still times out. I suspect that the delay in the `fetchUserData` function could be causing this, but it is designed that way to simulate a long-running task for my use case. When I invoke the function, I see the following error in the logs: ``` Function execution took longer than 60.000000 seconds. ``` I’m unsure how to handle long-running tasks in Cloud Functions, especially when they're triggered by HTTP requests. Can anyone suggest a better approach or a design pattern to manage this kind of scenario in GCP? Would using Cloud Run or Pub/Sub be a better alternative for handling such tasks?