Scenario runner as a plugin¶
Let's create a scenario runner plugin that runs a given benchmark scenario a random number of times (chosen at random from a given range).
Creation¶
Inherit a class for your plugin from the base ScenarioRunner class and implement its API (the _run_scenario() method):
import random
from rally.task import runner
from rally import consts
@runner.configure(name="random_times")
class RandomTimesScenarioRunner(runner.ScenarioRunner):
"""Sample scenario runner plugin.
Run scenario random number of times, which is chosen between min_times and
max_times.
"""
CONFIG_SCHEMA = {
"type": "object",
"$schema": consts.JSON_SCHEMA,
"properties": {
"type": {
"type": "string"
},
"min_times": {
"type": "integer",
"minimum": 1
},
"max_times": {
"type": "integer",
"minimum": 1
}
},
"additionalProperties": True
}
def _run_scenario(self, cls, method_name, context, args):
# runners settings are stored in self.config
min_times = self.config.get('min_times', 1)
max_times = self.config.get('max_times', 1)
for i in range(random.randrange(min_times, max_times)):
run_args = (i, cls, method_name,
runner._get_scenario_context(context), args)
result = runner._run_scenario_once(run_args)
# use self.send_result for result of each iteration
self._send_result(result)
Usage¶
You can refer to your scenario runner in the benchmark task configuration files in the same way as any other runners. Don't forget to put your runner-specific parameters in the configuration as well ("min_times" and "max_times" in our example):
{
"Dummy.dummy": [
{
"runner": {
"type": "random_times",
"min_times": 10,
"max_times": 20,
},
"context": {
"users": {
"tenants": 1,
"users_per_tenant": 1
}
}
}
]
}
Different plugin samples are available here.