def test_execute_schedule_aborts_on_error(self, es):
class ExpectedUnitTestException(Exception):
pass
def run(*args, **kwargs):
raise ExpectedUnitTestException()
task = track.Task("no-op",
track.Operation(
"no-op",
track.OperationType.Bulk.name,
params={},
param_source="driver-test-param-source"),
warmup_time_period=0.5,
time_period=0.5,
clients=4,
params={"clients": 4})
schedule = [(0, metrics.SampleType.Warmup, 0,
self.context_managed(run), None)]
sampler = driver.Sampler(client_id=0, task=None, start_timestamp=0)
cancel = threading.Event()
complete = threading.Event()
execute_schedule = driver.Executor(task, schedule, es, sampler, cancel,
complete)
with self.assertRaises(ExpectedUnitTestException):
execute_schedule()
es.assert_not_called()
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",
description="unittest track",
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("time-based",
track.Operation(
"time-based",
track.OperationType.Bulk.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
},
completes_parent=True)
schedule = driver.schedule_for(test_track, task, 0)
sampler = driver.Sampler(client_id=0, task=task, start_timestamp=0)
cancel = threading.Event()
complete = threading.Event()
execute_schedule = driver.Executor(task, schedule, es, sampler,
cancel, complete)
execute_schedule()
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))
self.assertTrue(
complete.is_set(),
"Executor should auto-complete a task that terminates its parent"
)
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()
complete = threading.Event()
execute_schedule = driver.Executor(task, schedule, es, sampler, cancel, complete)
cancel.set()
execute_schedule()
samples = sampler.samples
sample_size = len(samples)
self.assertEqual(0, sample_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",
description="unittest track",
indices=None,
challenges=None)
task = track.Task(
"time-based",
track.Operation(
"time-based",
track.OperationType.Bulk.name,
params={
"body": ["action_metadata_line", "index_line"],
"action-metadata-present": True,
"bulk-size": 1,
# we need this because DriverTestParamSource does not know that we only have one bulk and hence size() returns incorrect results
"size": 1
},
param_source="driver-test-param-source"),
warmup_time_period=0,
clients=4)
schedule = driver.schedule_for(test_track, task, 0)
sampler = driver.Sampler(client_id=2,
task=task,
start_timestamp=time.perf_counter())
cancel = threading.Event()
complete = threading.Event()
execute_schedule = driver.Executor(task, schedule, es, sampler, cancel,
complete)
execute_schedule()
samples = sampler.samples
self.assertTrue(len(samples) > 0)
self.assertFalse(complete.is_set(),
"Executor should not auto-complete a normal task")
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.assertLess(previous_absolute_time, sample.absolute_time)
previous_absolute_time = sample.absolute_time
self.assertLess(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_with_progress_determined_by_runner(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", description="unittest track",
indices=None,
challenges=None)
task = track.Task("time-based", track.Operation("time-based", operation_type="unit-test-recovery", params={
"indices-to-restore": "*",
# The runner will determine progress
"size": None
}, param_source="driver-test-param-source"), warmup_time_period=0, clients=4)
schedule = driver.schedule_for(test_track, task, 0)
sampler = driver.Sampler(client_id=2, task=task, start_timestamp=time.perf_counter())
cancel = threading.Event()
complete = threading.Event()
execute_schedule = driver.Executor(task, schedule, es, sampler, cancel, complete)
execute_schedule()
samples = sampler.samples
self.assertEqual(5, len(samples))
self.assertTrue(self.runner_with_progress.completed)
self.assertEqual(1.0, self.runner_with_progress.percent_completed)
self.assertFalse(complete.is_set(), "Executor should not auto-complete a normal task")
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.assertLess(previous_absolute_time, sample.absolute_time)
previous_absolute_time = sample.absolute_time
self.assertLess(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("ops", sample.total_ops_unit)
