I want to send a particular HTTP request (or otherwise communicate a message) to every (dynamic/autoscaled) instance which is currently running for a particular App Engine application.
My goal is to trigger each instance to discard some locally cached data (because I have just modified the underlying data and want them to reload it).
One possible solution is to store a value in Memcache, and have instances check this each time they handle a request to see if they should flush their cache. But this adds latency to every request.
Another possible solution would be to somehow stop all running instances. No fixed overhead, but some impact while instances are restarted.
An even less desirable solution would be to redeploy the application code in order to cause all instances to be stopped. This now adds additional delay on my end as a deployment takes some time.
You could use the management API to list instances for a given version, but I'd suggest that you'd probably want to use something like the PubSub API to create a subscription on each of your App Engine instances. Since each instance has its own subscription, any messages sent to the monitored queue will be received by all instances.
You can create the subscription at startup (the /_ah/start endpoint may be useful), and then delete it at shutdown (using the /_ah/stop endpoint).
Related
I have a GWT based Java web application deployed to Google App Engine, in which the servelet reads and changes state held in memory. The client code might send requests to change this state and, subsequently, to change or read the same state. So it's important that all requests from the same instance of the client page go to the same instance of the application's version.
Since I don't expect a lot of traffic, I don't mind limiting the maximum number of instances to 1. But I'd like that one instance to exist more or less permanently. (If a user takes more than, say, an hour between requests, I don't mind if their data is lost.)
In detail, the way I'm managing state is that I have a static variable that points to a hash table, the hash table maps strings to states. On the first request from the client, a new unique string is created and a new state and a new entry is made in the hash table. The string is returned in the response. On subsequent requests, the client sends the string so that the servelet can find the state that it needs to mutate or read. I can't keep the state in a database because it is very complex and not at all serializable.
What are the ways to ensure that all requests from a given client instance go to the same server instance?
What are the ways to ensure that all requests from a given client instance go to the same server instance?
There are no ways, by design. If you want to persist state between requests reliably, use the datastore, with memcache as a cache.
Adding: You can also use cookies if your data storage is meager, obfuscating/encrypting them as needed.
App Engine assumes that applications hold no essential state between requests. That makes spinning up/shutting down instances a non-issue.
I second Dave's answer, GAE is not exactly the right fit for what you desire.
However there could be ways around it, but in only a few specific cases: if you're using the standard GAE environment with manual scaling and a subsequent request is always based on URLs embedded in the response to the previous request.
You could craft the URLs in a response to a request according to the targeted routing rules such that subsequent requests hit the same instance. From Targeted routing:
If you are still using backends or have manually-scaled services, you can target and send a request to a instance by
including the instance ID. The instance ID is an integer in the range
from 0 up to the total number of instances that are running, and can
be specified as follows:
Sends a request to a specific service and version within a specific instance:
https://INSTANCE_ID-dot-VERSION_ID-dot-SERVICE_ID-dot-MY_PROJECT_ID.appspot.com
http://INSTANCE_ID.VERSION_ID.SERVICE_ID.MY_CUSTOM_DOMAIN
Note: Targeting an instance is not supported in services that are configured for auto scaling or basic scaling. The instance ID must be
an integer in the range from 0, up to the total number of instances
running. Regardless of your scaling type or instance class, it is not
possible to send a request to a specific instance without targeting a
service or version within that instance.
To determine the instance ID you could use the modules API, for example:
// Get the instance handling the current request.
int currentInstance = modulesApi.getCurrentInstance();
Note that if the targeted instance goes down you will keep getting errors permanently (that instance will not come back), so you might want to think at a fall-back solution for going somehow to a non-instance-based based page from where you could hitch a flow on another instance.
But such solution is not available in the GAE flex environment. From Targeted routing:
Note: In the flexible environment, targeting an instance is not supported. It is not possible to send requests directly to a specific
instance.
I have appengine endpoint and trying to reduce latency on few first calls to newly created endpoint instance. Application is written in Java and endpoints are auto scaled.
To address this issue I configured idle instance, although even if instance is already created, first few calls routed to it consume some extra time. Following documentation I've implemented the custom servlet handling warm up requests and marked the EndpointsServlet as load on startup.
Inside the warm up servlet I've put code that initiates some commonly used services, load some data etc. Effect was almost impossible to notice.
After it I have implemented calls to methods exposed by the endpoint like that:
call("/_ah/api/teamly/v1/test/dummy")
It works for some cases (even most of them) and after calling few key methods instance is really ready to serve. The problem I'm facing now is that if I'm using auto scaling for some module I can't route the request to specific instance.
So the question is:
How should I properly warm up the endpoint instance to avoid load requests initiated from frontend.
You need to put a listener to /_ah/warmup and then make calls to any resources you want it to be warmed up. You can find detailed information at:
Configuring Warmup Requests to Improve Performance
I'm attempting to create a microservice on Google App Engine that is not intended to handle HTTP requests.
Instead, I was hoping to have a continuously running Python script that monitors a remote queue--RabbitMQ, to be precise--and sends out an api-call to another service as tasks are pushed to the queue.
I was wondering, firstly, is it possible to run a script upon deployment--one that did not originate with a user action/request?
Secondly, how would I accomplish this?
Thanks in advance for your time!
You can deploy your "script" as a manually scaled module -- see https://cloud.google.com/appengine/docs/python/modules/ -- with exactly one instance. As the docs say, "When you start a manual scaling instance, App Engine immediately sends a /_ah/start request to each instance"; so, just set that module's handler for /_ah/start to the handler you want to run (in the module's yaml file and the WSGI app in the Python code, using whatever lightweight framework you like -- webapp2, falcon, flask, bottle, or whatever else... the framework won't be doing much for you in this case save the one-off routing).
Note that the number of free machine hours for manual scaling modules is limited to 8 hours per day (for the smaller, B1 instance class; proportionally fewer for larger instance classes), so you may need to upgrade to paid-app status if you need to run for more than 8 hours.
Like #brant said, App Engine is designed to handle HTTP requests. It's not a perfect fit for background jobs, unless you try to wrap your logic into one http request.
Further, App Engine will emit an error when the response timeout, depending on your scaling settings. If you want to try it, consider basic or manual scaling.
For this type of workload, I would suggest you use a VM.
I think there are a few problems with this design.
First, App Engine is designed to be an HTTP request processor, not a RabbitMQ message processor. GAE is intended for many small requests, not one long-running process.
Second, "RabbitMQ should not be exposed to the public internet, it wasn't created for such use case."
I would recommend that you keep the RabbitMQ clients on the same internal network as the RabbitMQ broker, and have the clients send HTTP requests to App Engine.
Every minute or so my app creates some data and needs to send it out to more than 1000 remote servers via URL Fetch callbacks. The callback URL for each server is stored on separate entities. The time lag between creating the data and sending it to the remote servers should be roughly less than 5 seconds.
My initial thought is to use the Pipeline API to fan out URL Fetch requests to different task queues.
Unfortunately task queues are not guaranteed to be executed in a timely fashion. Therefore from requesting a task queue start to it actually executing could take minutes to hours. From previous experience this gap is regularly over a minute so is not necessarily appropriate.
Is there any way from within App Engine to achieve what I want? Maybe you know of an outside service that can do the fan out in a timely fashion?
Well, there's probably no good solution for the gae here.
You could keep a backend running; hammering the datastore/memcache
every second for new data to send out, and then spawn dozens of async url-fetches.
But thats really inefficient...
If you want a 3rd party service, pubnub.com is capable of doing fan-out, however i don't know if it could fit in your setup.
How about using the async API? You could then do a large number of simultaneous URL calls, all from a single location.
If the performance is particularly sensitive, you could do them from a backend and use a B8 instance.
We're using sessions in our GAE/J application. Over the weekend, we had a large spike in our datastore writes that appears to have been caused by a large number of _ah_SESSION entities being created (about 100-200 every minute). Near as we can tell, there was a rogue task queue creating them because they stopped when we purged the queue. The task was part of a mapper process we run hourly.
We don't need sessions in that hourly mapper (or indeed in any of our task queues or cron jobs or many other requests). Is there a way to disable creating a session for selected URLs?
Unfortunately that can not be done.
This is particularly nasty when you have a non-browser clients (devices via REST or mapreduce jobs) where every request generates a new _ah_SESSION entity in the database.
The only way to avoid this is to write your own session handler: e.g. a servlet filter that sets/checks cookies and set it so that it ignores certain paths.
EDIT:
I just realized that there could be another way: make sure your client (mapreduce job) sets a dummy cookie with a proper name. GAE uses cookies named ACSID in production and dev_appserver_login on dev server. Just use always the same cookie value, so all requests will be treated as one user/session.
There will still be overhead of looking-up/saving session objects, but at least it will not create countless _ah_SESSION entities.