def process(metric, datapoint):
increment('datapointsReceived')
for rule in RewriteRuleManager.preRules:
metric = rule.apply(metric)
aggregate_metrics = []
for rule in RuleManager.rules:
aggregate_metric = rule.get_aggregate_metric(metric)
if aggregate_metric is None:
continue
else:
aggregate_metrics.append(aggregate_metric)
buffer = BufferManager.get_buffer(aggregate_metric)
if not buffer.configured:
buffer.configure_aggregation(rule.frequency, rule.aggregation_func)
buffer.input(datapoint)
for rule in RewriteRuleManager.postRules:
metric = rule.apply(metric)
if metric not in aggregate_metrics:
events.metricGenerated(metric, datapoint)
def process(metric, datapoint):
increment('datapointsReceived')
for rule in RewriteRuleManager.preRules:
metric = rule.apply(metric)
aggregate_metrics = []
for rule in RuleManager.rules:
aggregate_metric = rule.get_aggregate_metric(metric)
if aggregate_metric is None:
continue
else:
aggregate_metrics.append(aggregate_metric)
buffer = BufferManager.get_buffer(aggregate_metric)
if not buffer.configured:
buffer.configure_aggregation(rule.frequency, rule.aggregation_func)
buffer.input(datapoint)
for rule in RewriteRuleManager.postRules:
metric = rule.apply(metric)
if metric not in aggregate_metrics:
events.metricGenerated(metric, datapoint)
if settings.LOG_AGGREGATOR_MISSES and len(aggregate_metrics) == 0:
log.msg(
"Couldn't match metric %s with any aggregation rule. Passing on un-aggregated."
% metric)
def process(metric, datapoint):
increment('datapointsReceived')
for rule in RewriteRuleManager.preRules:
metric = rule.apply(metric)
aggregate_metrics = []
for rule in RuleManager.rules:
aggregate_metric = rule.get_aggregate_metric(metric)
if aggregate_metric is None:
continue
else:
aggregate_metrics.append(aggregate_metric)
buffer = BufferManager.get_buffer(aggregate_metric)
if not buffer.configured:
buffer.configure_aggregation(rule.frequency, rule.aggregation_func)
buffer.input(datapoint)
for rule in RewriteRuleManager.postRules:
metric = rule.apply(metric)
if metric not in aggregate_metrics:
events.metricGenerated(metric, datapoint)
def process(metric, datapoint):
increment('datapointsReceived')
for rule in RewriteRuleManager.preRules:
metric = rule.apply(metric)
aggregate_metrics = []
for rule in RuleManager.rules:
aggregate_metric = rule.get_aggregate_metric(metric)
if aggregate_metric is None:
continue
else:
aggregate_metrics.append(aggregate_metric)
buffer = BufferManager.get_buffer(aggregate_metric)
if not buffer.configured:
buffer.configure_aggregation(rule.frequency, rule.aggregation_func)
buffer.input(datapoint)
for rule in RewriteRuleManager.postRules:
metric = rule.apply(metric)
if metric not in aggregate_metrics:
events.metricGenerated(metric, datapoint)
if len(aggregate_metrics) == 0:
log.msg("Couldn't match metric %s with any aggregation rule. Passing on un-aggregated." % metric)
def process(metric, datapoint):
increment('datapointsReceived')
for rule in RewriteRuleManager.preRules:
metric = rule.apply(metric)
aggregate_metrics = []
if settings.AGGREGATOR_RULE_METHOD == "rules":
for rule in RuleManager.rules:
aggregate_metric = rule.get_aggregate_metric(metric)
if aggregate_metric is None:
continue
else:
aggregate_metrics.append(aggregate_metric)
buffer = BufferManager.get_buffer(aggregate_metric)
if not buffer.configured:
buffer.configure_aggregation(rule.frequency, rule.aggregation_func)
buffer.input(datapoint)
# Custom rule to sum metrics
elif settings.AGGREGATOR_RULE_METHOD == "sumall":
sum_index = metric.find(".sum.")
metric_namespace = metric[:metric.find(".")]
nsDict = settings["aggregation-sumall-rules"]
if sum_index != -1:
aggregate_metric = metric[:sum_index] + ".sum_all.hosts"
aggregate_metrics.append(aggregate_metric)
buffer = BufferManager.get_buffer(aggregate_metric)
aggregate_time_interval = 60
if metric_namespace in nsDict:
aggregate_time_interval = int(nsDict[metric_namespace])
if not buffer.configured:
buffer.configure_aggregation(aggregate_time_interval, sum)
buffer.input(datapoint)
for rule in RewriteRuleManager.postRules:
metric = rule.apply(metric)
if settings['FORWARD_ALL'] and metric not in aggregate_metrics:
#log.msg("Couldn't match metric %s with any aggregation rule. Passing on un-aggregated." % metric)
events.metricGenerated(metric, datapoint)