Hello
I have parametrized k6 script with data, requests are closely connected with each other, sometimes I need to retrieve some data from response in one step and in next I am using it, and I have prepared it, but problem is with choosing right executor.
I need to run 20 datasets(iterations) in 10 minutes.
I don’t understand why executor ramping-vus and ramping arrival rate run more scenarios that it is defined.
e.g
executor:'ramping-arrival-rate',
startRate: 1,
timeUnit: '1m',
preAllocatedVUs:1,
maxVUs:20,
stages:[
{target:20, duration: '10m'}
]
after target is exceeded, new scenarios are still triggered, same with ramping-vus. I have defined target to 20 but all iterations performed was 104. And requests of course are failing after 20 iteration, because data are incorrect, because they doesn’t exists.
I want to ask what scenario allows me to run opened model scenario in which next iteration doesn’t wait until the previous one finishes, and each iteration with dataset will start with e.g 1s of delay.
Should it be simple shared-iterations executor w
executor: "shared-iterations",
vus: 1,
iterations: 20,
maxDuration: "10m"
with counter and delay
delay = delay+1
sleep(delay)
or maybe you know how to stop ramping-arrival-rate after exceeding target, because I was trying to add condition
if(dataset.length === exec.scenario.iterationInTest)
return;
but it didn’t stop triggering scenarios.
