本文整理汇总了Python中Utils.LadDiagnosticUtil.getAggregationPeriodsFromLadCfg方法的典型用法代码示例。如果您正苦于以下问题：Python LadDiagnosticUtil.getAggregationPeriodsFromLadCfg方法的具体用法？Python LadDiagnosticUtil.getAggregationPeriodsFromLadCfg怎么用？Python LadDiagnosticUtil.getAggregationPeriodsFromLadCfg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Utils.LadDiagnosticUtil的用法示例。
在下文中一共展示了LadDiagnosticUtil.getAggregationPeriodsFromLadCfg方法的2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: _update_metric_collection_settings
# 需要导入模块: from Utils import LadDiagnosticUtil [as 别名]
# 或者: from Utils.LadDiagnosticUtil import getAggregationPeriodsFromLadCfg [as 别名]
def _update_metric_collection_settings(self, ladCfg):
"""
Update mdsd_config_xml_tree for Azure Portal metric collection. The mdsdCfg performanceCounters element contains
an array of metric definitions; this method passes each definition to its provider's AddMetric method, which is
responsible for configuring the provider to deliver the metric to mdsd and for updating the mdsd config as
required to expect the metric to arrive. This method also builds the necessary aggregation queries (from the
metrics.metricAggregation array) that grind the ingested data and push it to the WADmetric table.
:param ladCfg: ladCfg object from extension config
:return: None
"""
metrics = LadUtil.getPerformanceCounterCfgFromLadCfg(ladCfg)
if not metrics:
return
counter_to_table = {}
local_tables = set()
# Add each metric
for metric in metrics:
if metric['type'] == 'builtin':
local_table_name = BuiltIn.AddMetric(metric)
if local_table_name:
local_tables.add(local_table_name)
counter_to_table[metric['counterSpecifier']] = local_table_name
# Finalize; update the mdsd config to be prepared to receive the metrics
BuiltIn.UpdateXML(self._mdsd_config_xml_tree)
# Aggregation is done by <LADQuery> within a <DerivedEvent>. If there are no alternate sinks, the DerivedQuery
# can send output directly to the WAD metrics table. If there *are* alternate sinks, have the LADQuery send
# output to a new local table, then arrange for additional derived queries to pull from that.
intervals = LadUtil.getAggregationPeriodsFromLadCfg(ladCfg)
sinks = LadUtil.getFeatureWideSinksFromLadCfg(ladCfg, 'performanceCounters')
for table_name in local_tables:
for aggregation_interval in intervals:
if sinks:
local_table_name = ProvUtil.MakeUniqueEventName('aggregationLocal')
self._add_derived_event(aggregation_interval, table_name,
local_table_name,
'Local', add_lad_query=True)
self._handle_alternate_sinks(aggregation_interval, sinks, local_table_name)
else:
self._add_derived_event(aggregation_interval, table_name,
LadConfigAll._wad_table_name(aggregation_interval),
'Central', add_lad_query=True)示例2: test_getAggregationPeriodsFromLadCfg
# 需要导入模块: from Utils import LadDiagnosticUtil [as 别名]
# 或者: from Utils.LadDiagnosticUtil import getAggregationPeriodsFromLadCfg [as 别名]
def test_getAggregationPeriodsFromLadCfg(self):
periods = LadUtil.getAggregationPeriodsFromLadCfg(self.valid_config)
self.assertEqual(len(periods), 2)
self.assertIn('PT5M', periods)
self.assertIn('PT1H', periods)