本文整理汇总了Python中apache_beam.metrics.metric.Metrics.distribution方法的典型用法代码示例。如果您正苦于以下问题：Python Metrics.distribution方法的具体用法？Python Metrics.distribution怎么用？Python Metrics.distribution使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类apache_beam.metrics.metric.Metrics的用法示例。
在下文中一共展示了Metrics.distribution方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_create_counter_distribution
# 需要导入模块: from apache_beam.metrics.metric import Metrics [as 别名]
# 或者: from apache_beam.metrics.metric.Metrics import distribution [as 别名]
def test_create_counter_distribution(self):
MetricsEnvironment.set_current_container(MetricsContainer('mystep'))
counter_ns = 'aCounterNamespace'
distro_ns = 'aDistributionNamespace'
gauge_ns = 'aGaugeNamespace'
name = 'a_name'
counter = Metrics.counter(counter_ns, name)
distro = Metrics.distribution(distro_ns, name)
gauge = Metrics.gauge(gauge_ns, name)
counter.inc(10)
counter.dec(3)
distro.update(10)
distro.update(2)
gauge.set(10)
self.assertTrue(isinstance(counter, Metrics.DelegatingCounter))
self.assertTrue(isinstance(distro, Metrics.DelegatingDistribution))
self.assertTrue(isinstance(gauge, Metrics.DelegatingGauge))
del distro
del counter
del gauge
container = MetricsEnvironment.current_container()
self.assertEqual(
container.counters[MetricName(counter_ns, name)].get_cumulative(),
7)
self.assertEqual(
container.distributions[MetricName(distro_ns, name)].get_cumulative(),
DistributionData(12, 2, 2, 10))
self.assertEqual(
container.gauges[MetricName(gauge_ns, name)].get_cumulative().value,
10)示例2: test_create_counter_distribution
# 需要导入模块: from apache_beam.metrics.metric import Metrics [as 别名]
# 或者: from apache_beam.metrics.metric.Metrics import distribution [as 别名]
def test_create_counter_distribution(self):
sampler = statesampler.StateSampler('', counters.CounterFactory())
statesampler.set_current_tracker(sampler)
state1 = sampler.scoped_state('mystep', 'myState',
metrics_container=MetricsContainer('mystep'))
sampler.start()
with state1:
counter_ns = 'aCounterNamespace'
distro_ns = 'aDistributionNamespace'
name = 'a_name'
counter = Metrics.counter(counter_ns, name)
distro = Metrics.distribution(distro_ns, name)
counter.inc(10)
counter.dec(3)
distro.update(10)
distro.update(2)
self.assertTrue(isinstance(counter, Metrics.DelegatingCounter))
self.assertTrue(isinstance(distro, Metrics.DelegatingDistribution))
del distro
del counter
container = MetricsEnvironment.current_container()
self.assertEqual(
container.counters[MetricName(counter_ns, name)].get_cumulative(),
7)
self.assertEqual(
container.distributions[MetricName(distro_ns, name)].get_cumulative(),
DistributionData(12, 2, 2, 10))
sampler.stop()示例3: process
# 需要导入模块: from apache_beam.metrics.metric import Metrics [as 别名]
# 或者: from apache_beam.metrics.metric.Metrics import distribution [as 别名]
def process(self, element):
gauge = Metrics.gauge(self.__class__, 'latest_element')
gauge.set(element)
count = Metrics.counter(self.__class__, 'elements')
count.inc()
distro = Metrics.distribution(self.__class__, 'element_dist')
distro.update(element)
return [element]示例4: process
# 需要导入模块: from apache_beam.metrics.metric import Metrics [as 别名]
# 或者: from apache_beam.metrics.metric.Metrics import distribution [as 别名]
def process(self, element):
count = Metrics.counter(self.__class__, 'elements')
count.inc()
distro = Metrics.distribution(self.__class__, 'element_dist')
distro.update(element)
return [element]示例5: test_distribution_empty_namespace
# 需要导入模块: from apache_beam.metrics.metric import Metrics [as 别名]
# 或者: from apache_beam.metrics.metric.Metrics import distribution [as 别名]
def test_distribution_empty_namespace(self):
with self.assertRaises(ValueError):
Metrics.distribution("", "names")