def setUp(self):
self.sample_aggregation_rule = AggregationRule(r'^carbon.foo',
r'carbon.foo.sum',
'sum', 1)
self.sample_overwriting_aggregation_rule = \
AggregationRule(r'^carbon.foo', r'carbon.foo', 'sum', 1)
self.processor = AggregationProcessor()
def _bench_aggregator(name):
print("== %s ==" % name)
max_intervals = settings['MAX_AGGREGATION_INTERVALS']
now = time.time() - (max_intervals * FREQUENCY)
buf = None
for n in [1, 1000, 10000, 100000, 1000000, 10000000]:
processor = AggregationProcessor()
processor.process(METRIC, (now, 1))
def _process():
processor.process(METRIC, (now + _process.i, 1))
if (_process.i % FREQUENCY) == 0 and buf is not None:
buf.compute_values()
_process.i += 1
_process.i = 0
if buf is None:
buf = BufferManager.get_buffer(METRIC_AGGR, 1, None)
t = timeit.timeit(_process, number=n)
buf.close()
print_stats(n, t)
print("")
