def store(self, metric, datapoint):
timestamp, value = datapoint
if timestamp not in self[metric]:
# Not a duplicate, hence process if cache is not full
if self.is_full:
log.msg("MetricCache is full: self.size=%d" % self.size)
events.cacheFull()
else:
self.size += 1
self[metric][timestamp] = value
else:
# Updating a duplicate does not increase the cache size
self[metric][timestamp] = value
def store(self, metric, datapoint):
timestamp, value = datapoint
if timestamp not in self[metric]:
# Not a duplicate, hence process if cache is not full
if self.is_full:
log.msg("MetricCache is full: self.size=%d" % self.size)
events.cacheFull()
else:
self.size += 1
self[metric][timestamp] = value
else:
# Updating a duplicate does not increase the cache size
self[metric][timestamp] = value
def store(self, metric, datapoint):
self.setdefault(metric, {})
timestamp, value = datapoint
if metric not in EXISTING_METRICS:
NEED_TO_CREATE_METRICS.add(metric)
if timestamp not in self[metric]:
# Not a duplicate, hence process if cache is not full
if self.is_full:
log.msg("MetricCache is full: self.size=%d" % self.size)
events.cacheFull()
else:
self.size += 1
self[metric][timestamp] = value
else:
# Updating a duplicate does not increase the cache size
self[metric][timestamp] = value
def queueFullCallback(self, result):
events.cacheFull()
log.clients('%s send queue is full (%d datapoints)' % (self, result))