def test_execute_schedule_throughput_throttled(self, es):
es.bulk.return_value = {
"errors": False
}
params.register_param_source_for_name("driver-test-param-source", DriverTestParamSource)
test_track = track.Track(name="unittest", short_description="unittest track", description="unittest track",
source_root_url="http://example.org",
indices=None,
challenges=None)
# in one second (0.5 warmup + 0.5 measurement) we should get 1000 [ops/s] / 4 [clients] = 250 samples
for target_throughput, bounds in {10: [2, 4], 100: [24, 26], 1000: [245, 255]}.items():
task = track.Task(track.Operation("time-based", track.OperationType.Index.name, params={
"body": ["action_metadata_line", "index_line"],
"action_metadata_present": True
},
param_source="driver-test-param-source"),
warmup_time_period=0.5, time_period=0.5, clients=4, target_throughput=target_throughput)
schedule = driver.schedule_for(test_track, task, 0)
sampler = driver.Sampler(client_id=0, operation=task.operation, start_timestamp=0)
driver.execute_schedule(schedule, es, sampler)
samples = sampler.samples
sample_size = len(samples)
lower_bound = bounds[0]
upper_bound = bounds[1]
self.assertTrue(lower_bound <= sample_size <= upper_bound,
msg="Expected sample size to be between %d and %d but was %d" % (lower_bound, upper_bound, sample_size))
def test_cancel_execute_schedule(self, es):
es.bulk.return_value = {
"errors": False
}
params.register_param_source_for_name("driver-test-param-source", DriverTestParamSource)
test_track = track.Track(name="unittest", short_description="unittest track",
source_root_url="http://example.org",
indices=None,
challenges=None)
# in one second (0.5 warmup + 0.5 measurement) we should get 1000 [ops/s] / 4 [clients] = 250 samples
for target_throughput, bounds in {10: [2, 4], 100: [24, 26], 1000: [245, 255]}.items():
task = track.Task(track.Operation("time-based", track.OperationType.Index.name, params={
"body": ["action_metadata_line", "index_line"],
"action_metadata_present": True,
"bulk-size": 1
},
param_source="driver-test-param-source"),
warmup_time_period=0.5, time_period=0.5, clients=4,
params={"target-throughput": target_throughput, "clients": 4})
schedule = driver.schedule_for(test_track, task, 0)
sampler = driver.Sampler(client_id=0, task=task, start_timestamp=0)
cancel = threading.Event()
cancel.set()
driver.execute_schedule(cancel, 0, task.operation, schedule, es, sampler)
samples = sampler.samples
sample_size = len(samples)
self.assertEqual(0, sample_size)
def test_execute_schedule_aborts_on_error(self, es):
class ExpectedUnitTestException(Exception):
pass
def run(*args, **kwargs):
raise ExpectedUnitTestException()
schedule = [(0, metrics.SampleType.Warmup, 0, self.context_managed(run), None)]
sampler = driver.Sampler(client_id=0, operation=None, start_timestamp=0)
with self.assertRaises(ExpectedUnitTestException):
driver.execute_schedule(schedule, es, sampler=sampler)
es.assert_not_called()
def test_execute_schedule_in_throughput_mode(self, es):
es.bulk.return_value = {"errors": False}
params.register_param_source_for_name("driver-test-param-source",
DriverTestParamSource)
test_track = track.Track(name="unittest",
short_description="unittest track",
description="unittest track",
source_root_url="http://example.org",
indices=None,
challenges=None)
task = track.Task(track.Operation(
"time-based",
track.OperationType.Index.name,
params={
"body": ["action_metadata_line", "index_line"],
"action_metadata_present": True
},
param_source="driver-test-param-source"),
warmup_time_period=0,
clients=4,
target_throughput=None)
schedule = driver.schedule_for(test_track, task, 0)
sampler = driver.Sampler(client_id=2, task=task, start_timestamp=100)
cancel = threading.Event()
driver.execute_schedule(cancel, 0, task.operation, schedule, es,
sampler)
samples = sampler.samples
self.assertTrue(len(samples) > 0)
previous_absolute_time = -1.0
previous_relative_time = -1.0
for sample in samples:
self.assertEqual(2, sample.client_id)
self.assertEqual(task, sample.task)
self.assertTrue(previous_absolute_time < sample.absolute_time)
previous_absolute_time = sample.absolute_time
self.assertTrue(previous_relative_time < sample.relative_time)
previous_relative_time = sample.relative_time
# we don't have any warmup time period
self.assertEqual(metrics.SampleType.Normal, sample.sample_type)
# latency equals service time in throughput mode
self.assertEqual(sample.latency_ms, sample.service_time_ms)
self.assertEqual(1, sample.total_ops)
self.assertEqual("docs", sample.total_ops_unit)
self.assertEqual(1, sample.request_meta_data["bulk-size"])
def test_execute_schedule_in_throughput_mode(self, es):
es.bulk.return_value = {
"errors": False
}
params.register_param_source_for_name("driver-test-param-source", DriverTestParamSource)
test_track = track.Track(name="unittest", short_description="unittest track", description="unittest track",
source_root_url="http://example.org",
indices=None,
challenges=None)
task = track.Task(track.Operation("time-based", track.OperationType.Index.name, params={
"body": ["action_metadata_line", "index_line"],
"action_metadata_present": True
},
param_source="driver-test-param-source"),
warmup_time_period=0, clients=4, target_throughput=None)
schedule = driver.schedule_for(test_track, task, 0)
sampler = driver.Sampler(client_id=2, operation=task.operation, start_timestamp=100)
driver.execute_schedule(schedule, es, sampler)
samples = sampler.samples
self.assertTrue(len(samples) > 0)
previous_absolute_time = -1.0
previous_relative_time = -1.0
for sample in samples:
self.assertEqual(2, sample.client_id)
self.assertEqual(task.operation, sample.operation)
self.assertTrue(previous_absolute_time < sample.absolute_time)
previous_absolute_time = sample.absolute_time
self.assertTrue(previous_relative_time < sample.relative_time)
previous_relative_time = sample.relative_time
# we don't have any warmup time period
self.assertEqual(metrics.SampleType.Normal, sample.sample_type)
# latency equals service time in throughput mode
self.assertEqual(sample.latency_ms, sample.service_time_ms)
self.assertEqual(1, sample.total_ops)
self.assertEqual("docs", sample.total_ops_unit)
self.assertEqual(1, sample.request_meta_data["bulk-size"])
