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

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

Sorting large arrays of big numeric stings

I was solving bigSorting() problem from hackerrank: Consider an array of numeric strings where each string is a positive number with anywhere from to digits. Sort the array's elements in non-decreasing, or ascending order of their integer values and return the sorted array. I know it works as follows: def bigSorting(unsorted): return sorted(unsorted, key=int) But I didnt guess this approach earlier. Initially I tried below: def bigSorting(unsorted): int_unsorted = [int(i) for i in unsorted] int_sorted = sorted(int_unsorted) return [str(i) for i in int_sorted] However, for some of the test cases, it was showing time limit exceeded. Why is it so? PS: I dont know exactly what those test cases were as hacker rank does not reveal all test cases. source https://stackoverflow.com/questions/73007397/sorting-large-arrays-of-big-numeric-stings
Post a Comment
Read more

How to load Javascript with imported modules?

I am trying to import modules from tensorflowjs, and below is my code. test.html <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Document</title </head> <body> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js"></script> <script type="module" src="./test.js"></script> </body> </html> test.js import * as tf from "./node_modules/@tensorflow/tfjs"; import {loadGraphModel} from "./node_modules/@tensorflow/tfjs-converter"; const MODEL_URL = './model.json'; const model = await loadGraphModel(MODEL_URL); const cat = document.getElementById('cat'); model.execute(tf.browser.fromPixels(cat)); Besides, I run the server using python -m http.server in my command prompt(Windows 10), and this is the error prompt in the console log of my browser: Failed to loa...
Post a Comment
Read more