def test_gather_metrics(self):
name = "metric"
metric = CountMetric()
metric.incr(to_add=10)
self.metrics_collector.register_metric(name, metric, 60)
self.assertIn(60, self.metrics_collector.time_bucket_in_sec_to_metrics_name)
self.metrics_collector._gather_metrics(60)
message = self.metrics_collector.out_metrics.poll()
self.assertIsNotNone(message)
self.assertIsInstance(message, metrics_pb2.MetricPublisherPublishMessage)
self.assertEqual(message.metrics[0].name, name)
self.assertEqual(message.metrics[0].value, str(10))
self.assertEqual(metric.get_value_and_reset(), 0)
def test_gather_metrics(self):
name = "metric"
metric = CountMetric()
metric.incr(to_add=10)
self.metrics_collector.register_metric(name, metric, 60)
self.assertIn(60, self.metrics_collector.time_bucket_in_sec_to_metrics_name)
self.metrics_collector._gather_metrics(60)
message = self.metrics_collector.out_metrics.poll()
self.assertIsNotNone(message)
self.assertIsInstance(message, metrics_pb2.MetricPublisherPublishMessage)
self.assertEqual(message.metrics[0].name, name)
self.assertEqual(message.metrics[0].value, str(10))
self.assertEqual(metric.get_value_and_reset(), 0)
def setUp(self):
self.metrics = {"metric1": CountMetric(),
"metric2": MultiCountMetric(),
"metric3": MeanReducedMetric(),
"metric4": MultiMeanReducedMetric()}
self.metrics_helper = BaseMetricsHelper(self.metrics)
self.metrics_collector = mock_generator.MockMetricsCollector()
def test_count_metric(self):
metric = CountMetric()
for _ in range(10):
metric.incr()
self.assertEqual(metric.get_value_and_reset(), 10)
for _ in range(10):
metric.incr(to_add=10)
self.assertEqual(metric.get_value_and_reset(), 100)
self.assertEqual(metric.get_value_and_reset(), 0)
class SpoutMetrics(ComponentMetrics):
"""Metrics helper class for Spout"""
ACK_COUNT = "__ack-count"
COMPLETE_LATENCY = "__complete-latency"
TIMEOUT_COUNT = "__timeout-count"
NEXT_TUPLE_LATENCY = "__next-tuple-latency"
NEXT_TUPLE_COUNT = "__next-tuple-count"
PENDING_ACKED_COUNT = "__pending-acked-count"
spout_metrics = {ACK_COUNT: MultiCountMetric(),
COMPLETE_LATENCY: MultiMeanReducedMetric(),
TIMEOUT_COUNT: MultiCountMetric(),
NEXT_TUPLE_LATENCY: MeanReducedMetric(),
NEXT_TUPLE_COUNT: CountMetric(),
PENDING_ACKED_COUNT: MeanReducedMetric()}
to_multi_init = [ACK_COUNT, ComponentMetrics.FAIL_COUNT,
TIMEOUT_COUNT, ComponentMetrics.EMIT_COUNT]
def __init__(self, pplan_helper):
super(SpoutMetrics, self).__init__(self.spout_metrics)
self._init_multi_count_metrics(pplan_helper)
def _init_multi_count_metrics(self, pplan_helper):
"""Initializes the default values for a necessary set of MultiCountMetrics"""
to_init = [self.metrics[i] for i in self.to_multi_init
if i in self.metrics and isinstance(self.metrics[i], MultiCountMetric)]
for out_stream in pplan_helper.get_my_spout().outputs:
stream_id = out_stream.stream.id
for metric in to_init:
metric.add_key(stream_id)
def next_tuple(self, latency_in_ns):
"""Apply updates to the next tuple metrics"""
self.update_reduced_metric(self.NEXT_TUPLE_LATENCY, latency_in_ns)
self.update_count(self.NEXT_TUPLE_COUNT)
def acked_tuple(self, stream_id, complete_latency_ns):
"""Apply updates to the ack metrics"""
self.update_count(self.ACK_COUNT, key=stream_id)
self.update_reduced_metric(self.COMPLETE_LATENCY, complete_latency_ns, key=stream_id)
def failed_tuple(self, stream_id, fail_latency_ns):
"""Apply updates to the fail metrics"""
self.update_count(self.FAIL_COUNT, key=stream_id)
self.update_reduced_metric(self.FAIL_LATENCY, fail_latency_ns, key=stream_id)
def update_pending_tuples_count(self, count):
"""Apply updates to the pending tuples count"""
self.update_reduced_metric(self.PENDING_ACKED_COUNT, count)
def timeout_tuple(self, stream_id):
"""Apply updates to the timeout count"""
self.update_count(self.TIMEOUT_COUNT, key=stream_id)
def test_count_metric(self):
metric = CountMetric()
for _ in range(10):
metric.incr()
self.assertEqual(metric.get_value_and_reset(), 10)
for _ in range(10):
metric.incr(to_add=10)
self.assertEqual(metric.get_value_and_reset(), 100)
self.assertEqual(metric.get_value_and_reset(), 0)
class ComponentMetrics(BaseMetricsHelper):
"""Metrics to be collected for both Bolt and Spout"""
FAIL_LATENCY = "__fail-latency"
FAIL_COUNT = "__fail-count"
EMIT_COUNT = "__emit-count"
TUPLE_SERIALIZATION_TIME_NS = "__tuple-serialization-time-ns"
OUT_QUEUE_FULL_COUNT = "__out-queue-full-count"
component_metrics = {
FAIL_LATENCY: MultiMeanReducedMetric(),
FAIL_COUNT: MultiCountMetric(),
EMIT_COUNT: MultiCountMetric(),
TUPLE_SERIALIZATION_TIME_NS: MultiCountMetric(),
OUT_QUEUE_FULL_COUNT: CountMetric()
}
def __init__(self, additional_metrics):
metrics = self.component_metrics
metrics.update(additional_metrics)
super().__init__(metrics)
# pylint: disable=arguments-differ
def register_metrics(self, context):
"""Registers metrics to context
:param context: Topology Context
"""
sys_config = system_config.get_sys_config()
interval = float(
sys_config[constants.HERON_METRICS_EXPORT_INTERVAL_SEC])
collector = context.get_metrics_collector()
super().register_metrics(collector, interval)
def update_out_queue_full_count(self):
"""Apply update to the out-queue full count"""
self.update_count(self.OUT_QUEUE_FULL_COUNT)
def update_emit_count(self, stream_id):
"""Apply update to emit count"""
self.update_count(self.EMIT_COUNT, key=stream_id)
def serialize_data_tuple(self, stream_id, latency_in_ns):
"""Apply update to serialization metrics"""
self.update_count(self.TUPLE_SERIALIZATION_TIME_NS,
incr_by=latency_in_ns,
key=stream_id)
def test_register_metric(self):
name1 = "metric1"
metric1 = CountMetric()
self.metrics_collector.register_metric(name1, metric1, 60)
self.assertEqual(self.metrics_collector.metrics_map[name1], metric1)
self.assertIn(60, self.metrics_collector.registered_timers)
name2 = "metric2"
metric2 = MeanReducedMetric()
self.metrics_collector.register_metric(name2, metric2, 60)
self.assertEqual(self.metrics_collector.metrics_map[name2], metric2)
self.assertEqual(self.metrics_collector.time_bucket_in_sec_to_metrics_name[60],
[name1, name2])
name3 = "metric3"
metric3 = MultiMeanReducedMetric()
self.metrics_collector.register_metric(name3, metric3, 30)
self.assertEqual(self.metrics_collector.metrics_map[name3], metric3)
self.assertEqual(self.metrics_collector.registered_timers, [60, 30])
class GatewayMetrics(BaseMetricsHelper):
"""Metrics helper class for Gateway metric"""
RECEIVED_PKT_SIZE = '__gateway-received-packets-size'
SENT_PKT_SIZE = '__gateway-sent-packets-size'
RECEIVED_PKT_COUNT = '__gateway-received-packets-count'
SENT_PKT_COUNT = '__gateway-sent-packets-count'
SENT_METRICS_SIZE = '__gateway-sent-metrics-size'
SENT_METRICS_PKT_COUNT = '__gateway-sent-metrics-packets-count'
SENT_METRICS_COUNT = '__gateway-sent-metrics-count'
SENT_EXCEPTION_COUNT = '__gateway-sent-exceptions-count'
IN_STREAM_QUEUE_SIZE = '__gateway-in-stream-queue-size'
OUT_STREAM_QUEUE_SIZE = '__gateway-out-stream-queue-size'
IN_STREAM_QUEUE_EXPECTED_CAPACITY = '__gateway-in-stream-queue-expected-capacity'
OUT_STREAM_QUEUE_EXPECTED_CAPACITY = '__gateway-out-stream-queue-expected-capacity'
IN_QUEUE_FULL_COUNT = '__gateway-in-queue-full-count'
metrics = {
RECEIVED_PKT_SIZE: CountMetric(),
SENT_PKT_SIZE: CountMetric(),
RECEIVED_PKT_COUNT: CountMetric(),
SENT_PKT_COUNT: CountMetric(),
SENT_METRICS_SIZE: CountMetric(),
SENT_METRICS_PKT_COUNT: CountMetric(),
SENT_METRICS_COUNT: CountMetric(),
SENT_EXCEPTION_COUNT: CountMetric(),
IN_STREAM_QUEUE_SIZE: MeanReducedMetric(),
OUT_STREAM_QUEUE_SIZE: MeanReducedMetric(),
IN_STREAM_QUEUE_EXPECTED_CAPACITY: MeanReducedMetric(),
OUT_STREAM_QUEUE_EXPECTED_CAPACITY: MeanReducedMetric()
}
def __init__(self, metrics_collector):
sys_config = system_config.get_sys_config()
super().__init__(self.metrics)
interval = float(
sys_config[constants.HERON_METRICS_EXPORT_INTERVAL_SEC])
self.register_metrics(metrics_collector, interval)
def update_received_packet(self, received_pkt_size_bytes):
"""Update received packet metrics"""
self.update_count(self.RECEIVED_PKT_COUNT)
self.update_count(self.RECEIVED_PKT_SIZE,
incr_by=received_pkt_size_bytes)
def update_sent_packet(self, sent_pkt_size_bytes):
"""Update sent packet metrics"""
self.update_count(self.SENT_PKT_COUNT)
self.update_count(self.SENT_PKT_SIZE, incr_by=sent_pkt_size_bytes)
def update_sent_metrics_size(self, size):
self.update_count(self.SENT_METRICS_SIZE, size)
def update_sent_metrics(self, metrics_count, exceptions_count):
self.update_count(self.SENT_METRICS_PKT_COUNT)
self.update_count(self.SENT_METRICS_COUNT, metrics_count)
self.update_count(self.SENT_EXCEPTION_COUNT, exceptions_count)
def update_in_out_stream_metrics(self, in_size, out_size, in_expect_size,
out_expect_size):
self.update_reduced_metric(self.IN_STREAM_QUEUE_SIZE, in_size)
self.update_reduced_metric(self.OUT_STREAM_QUEUE_SIZE, out_size)
self.update_reduced_metric(self.IN_STREAM_QUEUE_EXPECTED_CAPACITY,
in_expect_size)
self.update_reduced_metric(self.OUT_STREAM_QUEUE_EXPECTED_CAPACITY,
out_expect_size)
