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I invoke the test through API,
locust -f locustfile.py --host=http://localhost --no-web --hatch-rate=20 --clients=10000
and got a result
Name # reqs # fails Avg Min Max | Median req/s
--------------------------------------------------------------------------------------------------------------------------------------------
POST 8000/queries.json 137 0(0.00%) 5 2 23 | 5 11.00
--------------------------------------------------------------------------------------------------------------------------------------------
Total 708 0(0.00%)
I would like to write this result to a file. Can anyone help me with this?
Below is the code in python
@task(1)
def test_topview(self):
post_data_topview = """{ "category": "321", "num": 20, "genderCat" : ["23"] }"""
with self.client.request(method="POST", url="http://192.168.1.107:8001/queries.json", headers= {"Content-Type" : "application/json"}, data = post_data_topview, catch_response = True ) as response:
if not matched(response.content) :
response.failure("No content")
Thank you very much.
523
Note: First, you need to assign a response to the output of the POST request. Second, you should convert the response body to a JSON string. Finally, you should extract the desired value by using a JSON expression. The last line is going to print the result on the terminal.
The main benefit of this framework is that it allows you to write complete performance routines in Python. Due to its event-based methodology and “test as code” capabilities, Locust is very scalable. Locust has a huge and constantly growing group of users that prefer it to JMeter because of these reasons.
HttpUser is the most commonly used User . It adds a client attribute which is used to make HTTP requests. from locust import HttpUser, task, between class MyUser(HttpUser): wait_time = between(5, 15) @task(4) def index(self): self. get("/") @task(1) def about(self): self.
UPDATE
Saving csv file with the option --csv is added with this release . So you can run the following command to save result of the test as foo_requests.csv and foo_distribution.csv
locust -f locustfile.py --host=http://localhost --no-web --hatch-rate=20 --clients=10000 --only-summary --csv=foo
FOR the version below 0.8
There has been a commit for saving the result of Locust but it is not merged to Locust yet. However you can update it manually with this commit. It is adding a new parameters as --statsfile=result.log to save the result.
Then the complete command should look like this
locust -f locustfile.py --host=http://localhost --no-web --hatch-rate=20 --clients=10000 --only-summary --statsfile=result.log
You can check this post for updating Locust and checking the result of the log.
118
Another option until the statsfile option is live would be to redirect stderr to an output file, which apparently is where the stats are logged to:
locust -f locustfile.py --host=http://example.com --no-web --clients=20 --hatch-rate=20 --num-request=1000 --only-summary > locust.log 2>&1
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