GCP Cloud Functions Timeout While Processing JSON Payloads in Python
Could someone explain I've been struggling with this for a few days now and could really use some help. I've been struggling with this for a few days now and could really use some help. I'm facing an issue where my Google Cloud Function, designed to process incoming JSON payloads from an HTTP trigger, times out after 60 seconds, even though I expect it to complete much sooner. The function is supposed to parse the incoming JSON, perform some transformations, and then write the results to a Google Cloud Storage bucket. I've set the timeout for the function to a maximum of 540 seconds, yet it still times out. Here’s the relevant part of my function: ```python import json from google.cloud import storage def process_json(request): request_json = request.get_json(silent=True) if not request_json: return 'No JSON payload received', 400 # Simulating processing time transformed_data = transform_data(request_json) # Write to GCS client = storage.Client() bucket = client.bucket('my-bucket') blob = bucket.blob('output.json') blob.upload_from_string(json.dumps(transformed_data)) return 'Processed successfully', 200 def transform_data(data): # Simulate a time-consuming transformation import time time.sleep(5) # This is intended to represent processing time return data ``` I've tested it with smaller payloads, and it works fine, but when I send larger payloads (around 5MB), it times out. I'm using the Google Cloud Functions Python 3.9 runtime. I've also checked that the payload is correctly formatted and has the right `Content-Type`. The function logs indicate that it starts processing but doesn't complete within the expected time, even though it should finish quickly. What could be causing this timeout? Are there any best practices for handling larger payloads in Cloud Functions? I'm working on a API that needs to handle this. I'm working on a API that needs to handle this. I'm working with Python in a Docker container on Windows 11. Has anyone else encountered this? Any help would be greatly appreciated! This is for a REST API running on CentOS. Is there a better approach?