gae-quotas

问题 What is the maximum amount of local memory ( not Memcache) each instance of a Google App engine app is allowed to consume? I couldn't find any information on the GAE quotas page. 回答1: The maximum memory limit for an App Engine instance depends on the instance class that you choose. The default limit is 128 MB. The following classes are currently available: F1 and B1 - 128 MB F2 and B2 - 256 MB F4 and B4 - 512 MB F4_1G and B4_1G - 1024 MB Edit: Second generation instances have double the

问题 What is the maximum amount of local memory ( not Memcache) each instance of a Google App engine app is allowed to consume? I couldn't find any information on the GAE quotas page. 回答1: The maximum memory limit for an App Engine instance depends on the instance class that you choose. The default limit is 128 MB. The following classes are currently available: F1 and B1 - 128 MB F2 and B2 - 256 MB F4 and B4 - 512 MB F4_1G and B4_1G - 1024 MB Edit: Second generation instances have double the

问题 When deploying to GCP App Engine (Flexible) I'm getting a [RESOURCE_EXHAUSTED] error that I can't seem to make sense of. The requested amount of instances has exceeded GCE's default quota. Full error: ERROR: (gcloud.app.deploy) Error Response: [8] Flex operation projects/project/regions/europe-west3/operations/8824354e-eaaf-45a6-9760-47167218e043 error [RESOURCE_EXHAUSTED]: An internal error occurred while processing task /app-engine-flex/insert_flex_deployment/flex_create_resources>2020-12

问题 Created a new project, on first deploy I get this: Updating service [default] (this may take several minutes)...failed. ERROR: (gcloud.app.deploy) Error Response: [13] Flex operation projects/primalexchange/regions/us-east1/operations/b5a5813a-14bf-43b6-af7f-e17b15866c4f error [INTERNAL]: An internal error occurred while processing task /appengine-flex-v1/insert_flex_deployment/flex_create_resources>2020-05-16T23:23:08.373Z4721.jc.14: Deployment Manager operation primalexchange/operation

问题 I've read https://developers.google.com/apps-script/guides/services/quotas and understand what the quotas are and how they work. What I can't figure out is how the quotas apply to web apps, specifically with the doGet and doPost functions? For example: Say a web app serves static HTML content via doGet -- is Script runtime the only quota that would apply? Say a web app services dynamic HTML content via doGet that pulls and displays data from a Sheet -- which quotas apply? What if the web app

问题 The following quotas are given at GAE docs: request size: 1 megabyte response size: 32 megabytes If my GAE app receives upload file, 1 megabyte quota is applied? If my GAE app sends (POST) the file to another server with urlfetch, still 1 megabyte is the the limit? 回答1: Imcoming bandwidth quota: Each incoming HTTP request can be no larger than 32MB. So an HTTP request from a browser directly to your application (suchas uploading a file) cannot exceed 32MB. Urlfetch quota: request size 1

问题 I have a queue with a lot of tasks in it. I would like to use one backend instance to process this queue. My quota info tells me I have blown my budget on hundreds of frontend instance hours and have not used any backend instance hours. As I had configured only one backend instance, I was expecting to be charged no more than 1 (backend) instance hour per hour. Here is my configuration: backends.yaml backends: - name: worker class: B8 instances: 1 options:dynamic queue.yaml - name: import rate

问题 I am trying to move my data from Cloud SQL to Cloud Datastore. There are a bit under 5 million entries in the SQL database. It seems like I can only move over 100,000 entities per day before I get a quota error. I can't figure out which exact quota I'm exceeding, however I have exponential backoff to make sure I'm not sending it too fast. Eventually it hits 5 minutes and the connection to the SQL server dies, but I don't think the writes per second quota is the problem. And I don't see any

问题 I got an error when command "gcloud preview app deploy app.yaml --promote" : ERROR: (gcloud.preview.app.deploy) Error Response: [13] CPU Quota Exceeded: in use: 7, requested: 2, limit: 8 Version: 20151201t142343.388948918338383472 Is there anything to solve this situation? 回答1: Since I just ran into this too, and was a bit boggled: it seems like every deploy you do for e.g. a node.js project creates a new compute engine CPU . If you go into your project's gcloud dashboard, you can see the