My moodle site is hosted on AWS Server of 8 GB RAM, i carried out various tests on the server using JMeter (NFT), I have tested from 15 to almost 1000 users, however I am still not getting any error(less than 0.3%). I am using the scripts provided by moodle itself. What could be the issue? Is there any issue with the script? I have attached a screenshot with this which shows the reports of 1000 users test for referenceenter image description here
If you're happy with the amount of errors and response times (maximum response time is more than 1 hour which is kind of too much for me) you can stop here and report the results.
However I doubt that a real user will be happy to wait 1 hour to see the login page so I would rather define some realistic pass/fail criteria, for example would expect the response time to be not more than 5 seconds. In this case you will have > 60% of failures if this is what you're trying to achieve.
You can consider using the following test elements
Set reasonable response timeouts using HTTP Request Defaults:
so if any request will last longer than 5 seconds it will be terminated as failed
Or use Duration Assertion
in this case JMeter will wait for the response and mark it as failed if the response time exceeds the defined duration
I'm triggering a long running scraping Cloud Run function with a PubSub topic and subscription trigger. Everytime I run it it does crash after 121.8 seconds but I don't get why.
POST 503 556B 121.8s APIs-Google; (+https://developers.google.com/webmasters/APIs-Google.html) https://????.a.run.app/
The request failed because either the HTTP response was malformed or connection to the instance had an error.
I've got a built-in timeout trigger and when I set it at 1 minute the functions runs without any problems but when I set at 2 minutes the above error gets triggered so it must be something with the Cloud Run or Subscription timeout settings but I've tried to increase those (read more below).
Things involved
1 x Cloud Run
1 x SubPub subscription
1 x SubPub topic
These are the things I've checked
The timeout of the Cloud Run instance (900 sec)
The timeout of the Pubsub subscription (Acknowledgement deadline - 600 sec & Message retention duration - 10 minutes)
I've increased the memory to 4GB and that is way above what it's needed.
Anyone who can point me in the right direction?
This is almost certainly due to Node.js' default server timeout of 120secs.
Try server.setTimeout(0) to remove this timeout.
When setting throttling limits for our API, it appears that the Rate Limit works successfully but the Quota does not.
We created a subscription that limits to 10 requests/second, and when running tests, we obtain a 429 response upon sending an 11th query in one second, which is exactly what we want and expect.
However, the filter also has a Quota of 100 requests/minute, yet we are able to run over 100 requests (have tested up to 300 queries and still gotten entirely 200 response codes) in the span of a minute without getting throttled.
I can't get a Google Cloud Function to run for more than 60secs, even when the timeout is set to 540secs!! Any suggestions?
I set the timeout flag on deployment to --timeout=540, and I know the setting goes through, because the 540 sec timeout setting appears in the GCP WEB UI. I have also tried to manually edit the timeout to 540 through the GCP WEB UI. But in any case i still get the DEADLINE_EXCEEDED after just ~ 62000 ms.
I have tried both the pub/sub and https methods as the func trigger, but still get the premature function timeout at ~60s.
Im running the latest CLI, with these these func settings:
trigger: http/pubsub (both tested, same result)
availableMemoryMb: 2048
runtime: nodejs6
status: ACTIVE
timeout: 540s
Thanks for any inputs!
Br Markus
I have used the documentation code for delay and executed a Cloud Function with the same specifications as yours. In the documentation, the execution is delayed 120000 ms (2 mins). I edited that and put it at 500000 ms. This plus the normal time that the CF takes to execute, will reach the desired execution time (around 9 minutes). If you add 540000 to test the code, it will execute with timeout error at ~540025, because the value itself is exceeding the timeout limit of the Cloud Function and at the same time the default maximum timeout limit of a Cloud Function, which is 9 minutes.
I also tried the creating the function using this command
gcloud functions deploy [FUNCTION_NAME] --trigger-http --timeout=540.
After successful deployment, I updated the code manually in the GCP Cloud Function UI as follows
exports.timeoutTest = (req, res) => {
setTimeout(() => {
let message = req.query.message || req.body.message || 'Hello World today!';
res.status(200).send(message);
res.end();
}, 500000);
};
Both times the Cloud Function was executed and returned with status code 200. This means that you can set a timeout to be more than 60 secs which is the default value.
If you revised everything correctly and you still have this issue, I recommend you to start afresh, create a new CF and use the documentation link I provided.
The 60 seconds timeout is not resulting from GCP Cloud Function setting. For instance if this is a Django/Gunicorn App, the timeout is coming from the timeout of gunicorn that is set in app.yaml
entrypoint: gunicorn -t 3600 -b :$PORT project_name.wsgi
For instance, this will achieve a timeout of 3600 seconds for gunicorn.
I believe I'm some years late but here is my suggestion.
If you're using the "Test the function" button in the "Testing tab" of the Cloud Function (in the gcp "Cloud Console") it says right next to the button that:
Testing in the Cloud Console has a 60s timeout. Note that this is different from the limit set in the function configuration.
I hope you fixed it and this answer can help someone in the future.
Update: Second try ("Test the function") was precisely 9 minutes
From: 23:15:38
Till: 23:24:38
And it is exactly the 9 minutes, although the message again was about 60 seconds only and popped up much earlier than the actual stop.
Function execution took 540004 ms, finished with status: 'timeout'
This time with a lot of memory (2 GB), timeout clearly made it stop. The message is perhaps just popping up earlier since it has not been programmed in detail, my guess. You should always look at the logs to see what is happening.
I guess that the core of your question is outdated then: At least in 01/2022, you do have the demanded timeout time regardless of the what you may read, and you just should not care about the messages.
First try ("Test the function") 8 minutes after reached memory limit
A screenshot of how it looks like in 2022/01 if you get over the 60 seconds (with 540s maximum timeout for this example function set in the "Edit" menu of the CF):
Function being tested has exceeded the 60s timeout imposed by the Cloud Functions testing utility.
Yet, in reality, when using just the "Testing tab" the timeout is at least after 300s / 5 minutes which can be seen next to the "Test the function" button:
Testing in the Cloud Console has a 5 minute timeout. Note that this is different from the limit set in the function configuration.
But it is even more. I know from testing (started from the "Testing tab" --> "Test Function" in the Cloud Function) that you have at least 8 minutes:
From 22:31:43:
Till 22:39:53
And this was at first stopped by the 256 MB limit, secondly only by time (a bit unclear why there were both messages).
Therefore, your question about why you get only 60 seconds timeout time might rather ask why these messages are wrong (like in my case). Perhaps GCP did not make the effort to parametrize the messages for each function.
Perhaps you get even slightly more time when you start with gcloud from terminal, but that is not so likely since 9 minutes are the maximum anyway.
I have a python program which query youtube to get the video details. I use the version-3 api. I have multiple processes m and a python pool of 10 processes in each python process.
songs_pool = Pool()
songs_pool =Pool(processes=10)
return_pool = songs_pool.map(getVideo,songs_list)
I get some client errors when the value of m is increased to more than 2 and the pool is increased to >5. I get forbidden errors. When I check the number of requests in the google analytics,it shows that the number of requests are 250 per sec. But according to the documentation the limit is 3000 requests per sec. I dont understand why am I getting the client errors. Can you tell me if there is a way to not get this errors and run the program quicker.
if m = 2 and process = 10 , i get no errors but it takes so much time to complete.
But if I increase them , then I get client errors which are ~ 5% of the total requests.
The per-user-limit is 3000 requests per second from a single IP address, and as soon as you go above that in a given second you'll start getting the forbidden errors. The analytics you see in the developers console will only report your average number of requests over a 5 minute period; therefore, if you had zero requests for 4 minutes, then started running your routine, the console may show only 250 requests per second (as an average) but your app likely is overrunning the limit in a given period of time or two.
It seems that you're handling it in the best way possible if speed is your concern; you'll want to run it fast enough to get a very small number of errors (so you know you're staying up there at your limit). Another option, though, might be to look into using etags; if you find yourself requesting info on the same videos a lot, you can let etags tell you whether or not any info has changed (and if the API responds that nothing has changed, it doesn't count against either your quota or your reqests/sec.)