google-app-engine

来源： https://stackoverflow.com/questions/45749373/reading-excel-file-in-google-cloud-dataflow-from-file-stored-in-gcs

来源： https://stackoverflow.com/questions/55817076/what-is-the-proper-way-import-python-modules-for-dev-appserver

问题 I submitted the following request using the API explorer in the Google Cloud Console: { "query": { "kinds": [ { "name": "Car" } ], "filter": { "propertyFilter": { "property": { "name": "car_name" }, "operator": "equal", "value": { "stringValue": "Honda" } } } } } And I got the following response: { "error": { "errors": [ { "domain": "global", "reason": "backendError", "message": "Backend Error" } ], "code": 503, "message": "Backend Error" } } I've authenticated with OAuth as well. Why won't

问题 I submitted the following request using the API explorer in the Google Cloud Console: { "query": { "kinds": [ { "name": "Car" } ], "filter": { "propertyFilter": { "property": { "name": "car_name" }, "operator": "equal", "value": { "stringValue": "Honda" } } } } } And I got the following response: { "error": { "errors": [ { "domain": "global", "reason": "backendError", "message": "Backend Error" } ], "code": 503, "message": "Backend Error" } } I've authenticated with OAuth as well. Why won't

问题 I want to run a node js application on Google App Engine but my application is currently running two protocols, on two different ports. One of them is the port 8080 (which is required to work on Google App Engine) and the other one is 1883, a mqtt server. Looking the documentation, I couldn't find anything to make this works, actually, the server starts without errors but of course I can't connect to the port 1883, only the http and https. I need to know if this is possible at all and if is,

问题 I want to run a node js application on Google App Engine but my application is currently running two protocols, on two different ports. One of them is the port 8080 (which is required to work on Google App Engine) and the other one is 1883, a mqtt server. Looking the documentation, I couldn't find anything to make this works, actually, the server starts without errors but of course I can't connect to the port 1883, only the http and https. I need to know if this is possible at all and if is,

问题 I am exceeding the soft memory limit in google app engine (4 to 6 gb, soft limit is set at 2gb) by using this app yaml file: runtime: python37 service: snow instance_class: F4_1G resources: cpu: 1 memory_gb: 16 disk_size_gb: 20 It appears the resources memory_gb is not related to the "soft limit" memory. When booting up my app, I need to train an ML model that takes around 4 to 6gb memory. Is there any other way to increase the memory during app deployment? 回答1: This is because you are trying

问题 I am exceeding the soft memory limit in google app engine (4 to 6 gb, soft limit is set at 2gb) by using this app yaml file: runtime: python37 service: snow instance_class: F4_1G resources: cpu: 1 memory_gb: 16 disk_size_gb: 20 It appears the resources memory_gb is not related to the "soft limit" memory. When booting up my app, I need to train an ML model that takes around 4 to 6gb memory. Is there any other way to increase the memory during app deployment? 回答1: This is because you are trying

问题 Currently building an app on app engine standard environment, with python 3.7 and the flask framework. I need to schedule some tasks which will require the app to run several sensitive endpoints periodically. I want to limit access to these endpoints to the application itself, preventing (non-admin) users from accessing these. In the Python 2 version of app engine, it is possible by specifying login: admin in the app.yaml file like so: # app.yaml for google app engine standard env python 2

问题 I want to migrate my site from a First to a Second Generation Cloud SQL instance, this is the old config: DATABASES['[DATABASE_NAME]'] = { 'ENGINE': 'google.appengine.ext.django.backends.rdbms', 'INSTANCE': '[PROJECT_ID]:[INSTANCE_ID_1stGEN]', 'NAME': '[DATABASE_NAME]', 'USER': [MY_USER], 'PASSWORD': [MY_PASSWORD], } This works fine, now I'm trying with this code: DATABASES['[DATABASE_NAME]'] = { 'ENGINE': 'django.db.backends.mysql', 'HOST': '/cloudsql/[PROJECT_NAME]:[REGION]:[INSTANCE_ID]',