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I found no detail about the Number of users to simulate and Hatch rate in the locust documentation.
What is the relation between the two parameters?
If I have 20 clients, of each will post 1000 requests/second to the server, how should I set the two parameters to test the server?
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Locust is an easy to use, scriptable and scalable performance testing tool. You define the behaviour of your users in regular Python code, instead of being stuck in a UI or restrictive domain specific language. This makes Locust infinitely expandable and very developer friendly.
When you start the load test with this configuration, locust will spawn 2 new users for every second until it fulfils the total number of users to simulate (which is 20 in this case). After 10 seconds, you will have a swarm of 20 simulated users. To control the no.
For less than 400 users running, we have a Median response time of 2ms and a 95% percentile response of 5ms. For less than 450-675 users running, we have a Median response time of 3ms and a 95% percentile response of 7ms.
The target of locust is load-testing websites and checking the number of concurrent users a system can handle. During a locust test, a swarm of locusts will attack the target i.e website. The behavior of each locust is configurable and the swarming process is monitored from a web UI in real time.
"Hatch rate" is how quickly you want to spawn the users.
Example:
"Number of users to simulate" = 20
"Hatch rate" (user spawned / second) = 2
When you start the load test with this configuration, locust will spawn 2 new users for every second until it fulfils the total number of users to simulate (which is 20 in this case). After 10 seconds, you will have a swarm of 20 simulated users.
To control the no. of request per second, you will need to set the max_wait accordingly.
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