def stringReceived(self, rawRequest):
request = self.unpickler.loads(rawRequest)
if request['type'] == 'cache-query':
metric = request['metric']
datapoints = MetricCache.get(metric, [])
result = dict(datapoints=datapoints)
if settings.LOG_CACHE_HITS:
log.query('[%s] cache query for \"%s\" returned %d values' % (self.peerAddr, metric, len(datapoints)))
instrumentation.increment('cacheQueries')
elif request['type'] == 'cache-query-bulk':
datapointsByMetric = {}
metrics = request['metrics']
for metric in metrics:
datapointsByMetric[metric] = MetricCache.get(metric, [])
result = dict(datapointsByMetric=datapointsByMetric)
if settings.LOG_CACHE_HITS:
log.query('[%s] cache query bulk for \"%d\" metrics returned %d values' %
(self.peerAddr, len(metrics), sum([len(datapoints) for datapoints in datapointsByMetric.values()])))
instrumentation.increment('cacheBulkQueries')
instrumentation.append('cacheBulkQuerySize', len(metrics))
elif request['type'] == 'get-metadata':
result = management.getMetadata(request['metric'], request['key'])
elif request['type'] == 'set-metadata':
result = management.setMetadata(request['metric'], request['key'], request['value'])
else:
result = dict(error="Invalid request type \"%s\"" % request['type'])
response = pickle.dumps(result, protocol=-1)
self.sendString(response)
def stringReceived(self, rawRequest):
request = self.unpickler.loads(rawRequest)
if request['type'] == 'cache-query':
metric = request['metric']
datapoints = MetricCache.get(metric, {}).items()
result = dict(datapoints=datapoints)
if settings.LOG_CACHE_HITS:
log.query('[%s] cache query for \"%s\" returned %d values' % (self.peerAddr, metric, len(datapoints)))
instrumentation.increment('cacheQueries')
elif request['type'] == 'cache-query-bulk':
datapointsByMetric = {}
metrics = request['metrics']
for metric in metrics:
datapointsByMetric[metric] = MetricCache.get(metric, {}).items()
result = dict(datapointsByMetric=datapointsByMetric)
if settings.LOG_CACHE_HITS:
log.query('[%s] cache query bulk for \"%d\" metrics returned %d values' %
(self.peerAddr, len(metrics), sum([len(datapoints) for datapoints in datapointsByMetric.values()])))
instrumentation.increment('cacheBulkQueries')
instrumentation.append('cacheBulkQuerySize', len(metrics))
elif request['type'] == 'get-metadata':
result = management.getMetadata(request['metric'], request['key'])
elif request['type'] == 'set-metadata':
result = management.setMetadata(request['metric'], request['key'], request['value'])
else:
result = dict(error="Invalid request type \"%s\"" % request['type'])
response = pickle.dumps(result, protocol=-1)
self.sendString(response)
def run(self):
global buckets
last_values = {}
sock = socket.socket()
sock.connect((self.ip, self.port))
pp = pprint.PrettyPrinter(indent=4)
while True:
time.sleep(5)
pp.pprint(buckets)
# On recupere la liste de bucket et on supprime le dernier
list_buckets = buckets.keys()
try:
if len(list_buckets) == 0:
next
list_buckets.pop()
except Exception as e:
self.logger.debug(
'[PUBLISHER] Exception, le tableau buckets est vide')
next
# Pour chaque bucket restant
for bucket in list_buckets:
self.logger.debug('[PUBLISHER] Current bucket : %d' % (bucket))
current_bucket = buckets[bucket]
# On calcule les aggregations definies pour cette metrique et on met a jour last_values
for metric in current_bucket:
self.logger.debug('[PUBLISHER] Current metric : %s' %
(metric))
list_metrics = current_bucket[metric]
for aggregation_method in self.aggregation_methods[metric]:
self.logger.debug(
'[PUBLISHER] Current aggregation method : %s' %
(aggregation_method))
last_values[metric][aggregation_method] = globals(
)[aggregation_method](list_metrics)
self.logger.debug(
'[PUBLISHER] Current result : %0.2f' %
(last_values[metric][aggregation_method]))
# On publie last_values sur graphite via le protocole pickle
graphite_data = []
for metric in last_values:
for x in ['min', 'avg', 'max']:
path = '%s%s.%s' % (prefix, metric, x)
timestamp = bucket
value = last_values[metric][x]
graphite_data.append([path, [timestamp, value]])
self.logger.debug('[PUBLISHER] %s %0.1f %d' %
(path, value, timestamp))
payload = pickle.dumps(graphite_data, protocol=2)
header = struct.pack("!L", len(payload))
message = header + payload
sock.sendall(message)
# On supprime le bucket pour qu'il ne soit pas retraite
del buckets[bucket]
def sendQueued(self):
while (not self.paused) and self.factory.hasQueuedDatapoints():
datapoints = self.factory.takeSomeFromQueue()
self.sendString(pickle.dumps(datapoints, protocol=-1))
self.factory.checkQueue()
instrumentation.increment(self.sent, len(datapoints))
if (settings.USE_FLOW_CONTROL and state.metricReceiversPaused
and self.factory.queueSize < SEND_QUEUE_LOW_WATERMARK):
log.clients(
'send queue has space available, resuming paused clients')
events.resumeReceivingMetrics()
def sendQueued(self):
while (not self.paused) and self.factory.hasQueuedDatapoints():
datapoints = self.factory.takeSomeFromQueue()
self.sendString(pickle.dumps(datapoints, protocol=-1))
self.factory.checkQueue()
instrumentation.increment(self.sent, len(datapoints))
if (
settings.USE_FLOW_CONTROL
and state.metricReceiversPaused
and self.factory.queueSize < SEND_QUEUE_LOW_WATERMARK
):
log.clients("send queue has space available, resuming paused clients")
events.resumeReceivingMetrics()
def sendDatapoint(self, metric, datapoint):
if self.paused:
self.factory.enqueue(metric, datapoint)
instrumentation.increment(self.queuedUntilReady)
elif self.factory.hasQueuedDatapoints():
self.factory.enqueue(metric, datapoint)
self.sendQueued()
else:
datapoints = [(metric, datapoint)]
self.sendString(pickle.dumps(datapoints, protocol=-1))
instrumentation.increment(self.sent)
self.factory.checkQueue()
def sendDatapoint(self, metric, datapoint):
if self.paused:
self.factory.enqueue(metric, datapoint)
instrumentation.increment(self.queuedUntilReady)
elif self.factory.hasQueuedDatapoints():
self.factory.enqueue(metric, datapoint)
self.sendQueued()
else:
datapoints = [(metric, datapoint)]
self.sendString(pickle.dumps(datapoints, protocol=-1))
instrumentation.increment(self.sent)
self.factory.checkQueue()
def stringReceived(self, rawRequest):
request = self.unpickler.loads(rawRequest)
if request["type"] == "cache-query":
metric = request["metric"]
datapoints = MetricCache.get(metric, [])
result = dict(datapoints=datapoints)
log.query('[%s] cache query for "%s" returned %d values' % (self.peerAddr, metric, len(datapoints)))
instrumentation.increment("cacheQueries")
# elif request['type'] == 'get-metadata':
# result = management.getMetadata(request['metric'], request['key'])
# elif request['type'] == 'set-metadata':
# result = management.setMetadata(request['metric'], request['key'], request['value'])
else:
result = dict(error='Invalid request type "%s"' % request["type"])
response = pickle.dumps(result, protocol=-1)
self.sendString(response)
def stringReceived(self, rawRequest):
request = self.unpickler.loads(rawRequest)
if request['type'] == 'cache-query':
metric = request['metric']
datapoints = MetricCache.get(metric, [])
result = dict(datapoints=datapoints)
log.query('[%s] cache query for \"%s\" returned %d values' % (self.peerAddr, metric, len(datapoints)))
instrumentation.increment('cacheQueries')
elif request['type'] == 'get-metadata':
result = management.getMetadata(request['metric'], request['key'])
elif request['type'] == 'set-metadata':
result = management.setMetadata(request['metric'], request['key'], request['value'])
else:
result = dict(error="Invalid request type \"%s\"" % request['type'])
response = pickle.dumps(result, protocol=-1)
self.sendString(response)
def stringReceived(self, rawRequest):
request = self.unpickler.loads(rawRequest)
if request["type"] == "cache-query":
metric = request["metric"]
datapoints = MetricCache.get(metric, [])
result = dict(datapoints=datapoints)
if settings.LOG_CACHE_HITS:
log.query('[%s] cache query for "%s" returned %d values' % (self.peerAddr, metric, len(datapoints)))
instrumentation.increment("cacheQueries")
elif request["type"] == "cache-query-bulk":
datapointsByMetric = {}
metrics = request["metrics"]
for metric in metrics:
datapointsByMetric[metric] = MetricCache.get(metric, [])
result = dict(datapointsByMetric=datapointsByMetric)
if settings.LOG_CACHE_HITS:
log.query(
'[%s] cache query bulk for "%d" metrics returned %d values'
% (
self.peerAddr,
len(metrics),
sum([len(datapoints) for datapoints in datapointsByMetric.values()]),
)
)
instrumentation.increment("cacheBulkQueries")
instrumentation.append("cacheBulkQuerySize", len(metrics))
elif request["type"] == "get-metadata":
result = management.getMetadata(request["metric"], request["key"])
elif request["type"] == "set-metadata":
result = management.setMetadata(request["metric"], request["key"], request["value"])
else:
result = dict(error='Invalid request type "%s"' % request["type"])
response = pickle.dumps(result, protocol=-1)
self.sendString(response)
def stringReceived(self, rawRequest):
request = self.unpickler.loads(rawRequest)
if request['type'] == 'cache-query':
metric = request['metric']
datapoints = MetricCache.get(metric, [])
result = dict(datapoints=datapoints)
if settings.LOG_CACHE_HITS is True:
log.query('[%s] cache query for \"%s\" returned %d values' % (self.peerAddr, metric, len(datapoints)))
instrumentation.increment('cacheQueries')
elif request['type'] == 'get-metadata':
result = management.getMetadata(request['metric'], request['key'])
elif request['type'] == 'set-metadata':
result = management.setMetadata(request['metric'], request['key'], request['value'])
else:
result = dict(error="Invalid request type \"%s\"" % request['type'])
response = pickle.dumps(result, protocol=-1)
self.sendString(response)
def _sendDatapoints(self, datapoints):
self.sendString(pickle.dumps(datapoints, protocol=-1))
instrumentation.increment(self.sent, len(datapoints))
instrumentation.increment(self.batchesSent)
self.factory.checkQueue()
def _sendDatapoints(self, datapoints):
self.sendString(pickle.dumps(datapoints, protocol=-1))
instrumentation.increment(self.sent, len(datapoints))
instrumentation.increment(self.batchesSent)
self.factory.checkQueue()
def _sendDatapointsNow(self, datapoints): self.sendString(pickle.dumps(datapoints, protocol=2))
def _sendDatapointsNow(self, datapoints):
self.sendString(pickle.dumps(datapoints, protocol=-1))
