Skip to main content

SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:2396)') during performance testing in Locust for the upload PUT request

Test execution is in Locust based on HttpUser on MacOS. I'm receiving that kind of error during the upload of file testing, for the file with ~10 MB. The error appears only for more users than 40, rps rate is always equal to users. I reviewed many topics about SSL errors, I've upgraded all packages related to OpenSSL, also I installed packages related to httpsclient, but it didn't solve the issue, still, for a few PUT requests I'm receiving

PUT doc_upload_bigSize_PUT_method: SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:2396)')

I'm not so experienced in performance tests, so maybe the fault is on my side, but still, it is strange that a lot of requests are passing, but 2-3 of them are returning SSLEOF.

This is how it looks from a script perspective: upload method:

@staticmethod
def file_upl_pdf(dirname, file_name):
    upload = open(f"{dirname}/{file_name}", "rb")
    return upload

Test script:

def upload_big_size_doc(self):
    file_name = "test_file_big_size.pdf"
    res = self.client.post("/documents", data=json.dumps(data)), name='doc_upload_bigSize_POST_method')
    json_response = json.loads(res.text)
    document_id = jsonpath.jsonpath(json_response, "documentId")[0]
    url_upload = jsonpath.jsonpath(json_response, "url")[0]
    self.client.put(url=url_upload, data=ResourceUtils.file_upl_pdf(dirname="../test_files/big_size", file_name=file_name),
                    headers={'Content-Type': 'application/pdf'},
                    name='doc_upload_bigSize_PUT_method')

here I'm running a test:

@task
def perf_test(self):
    self.upload_big_size_doc()

I would like to see rather errors coming from load tests about infra like timeout or something, but SSLEOF seems to me like a bad behaviour of my scripts or config.



source https://stackoverflow.com/questions/74837447/ssleoferror8-eof-occurred-in-violation-of-protocol-ssl-c2396-during-per

Labels

Labels:

Comments

Post a Comment

Popular posts from this blog

How to show number of registered users in Laravel based on usertype?

i'm trying to display data from the database in the admin dashboard i used this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count(); echo $users; ?> and i have successfully get the correct data from the database but what if i want to display a specific data for example in this user table there is "usertype" that specify if the user is normal user or admin i want to user the same code above but to display a specific usertype i tried this: <?php use Illuminate\Support\Facades\DB; $users = DB::table('users')->count()->WHERE usertype =admin; echo $users; ?> but it didn't work, what am i doing wrong? source https://stackoverflow.com/questions/68199726/how-to-show-number-of-registered-users-in-laravel-based-on-usertype
Post a Comment
Read more

Why is my reports service not connecting?

I am trying to pull some data from a Postgres database using Node.js and node-postures but I can't figure out why my service isn't connecting. my routes/index.js file: const express = require('express'); const router = express.Router(); const ordersCountController = require('../controllers/ordersCountController'); const ordersController = require('../controllers/ordersController'); const weeklyReportsController = require('../controllers/weeklyReportsController'); router.get('/orders_count', ordersCountController); router.get('/orders', ordersController); router.get('/weekly_reports', weeklyReportsController); module.exports = router; My controllers/weeklyReportsController.js file: const weeklyReportsService = require('../services/weeklyReportsService'); const weeklyReportsController = async (req, res) => { try { const data = await weeklyReportsService; res.json({data}) console...
Post a Comment
Read more

ValueError: X has 10 features, but LinearRegression is expecting 1 features as input

So, I am trying to predict the model but its throwing error like it has 10 features but it expacts only 1. So I am confused can anyone help me with it? more importantly its not working for me when my friend runs it. It works perfectly fine dose anyone know the reason about it? cv = KFold(n_splits = 10) all_loss = [] for i in range(9): # 1st for loop over polynomial orders poly_order = i X_train = make_polynomial(x, poly_order) loss_at_order = [] # initiate a set to collect loss for CV for train_index, test_index in cv.split(X_train): print('TRAIN:', train_index, 'TEST:', test_index) X_train_cv, X_test_cv = X_train[train_index], X_test[test_index] t_train_cv, t_test_cv = t[train_index], t[test_index] reg.fit(X_train_cv, t_train_cv) loss_at_order.append(np.mean((t_test_cv - reg.predict(X_test_cv))**2)) # collect loss at fold all_loss.append(np.mean(loss_at_order)) # collect loss at order plt.plot(np.log(al...
Post a Comment
Read more