Metricfire Python benchmarking

mf_benchmark.py

import metricfire
import time

# Send to a nonexistant Metricfire aggregation server on this machine.
metricfire.init("deadbeef-dead-beef-dead-deadcafebabe", server = "127.0.0.1:6334")

before = time.time()
for index in xrange(100000):
    pass
after = time.time()
plain_usecs_per_iteration = (after - before) / 100000 * 1000000
print "100k iterations in %fs, %fus per iteration" % (after - before, plain_usecs_per_iteration)

before = time.time()
for index in xrange(100000):
    metricfire.send("test", 1)
after = time.time()
send_usecs_per_iteration = (after - before) / 100000 * 1000000
print "100k iterations in %fs, %fus per iteration" % (after - before, send_usecs_per_iteration)



def foo():
    pass

@metricfire.measure
def foo2():
    pass



before = time.time()
for index in xrange(100000):
    foo()
after = time.time()
usecs_per_call = (after - before) / 100000 * 1000000
print "100k calls in %fs, %fus per call" % (after - before, usecs_per_call)

before = time.time()
for index in xrange(100000):
    foo2()
after = time.time()
decorated_usecs_per_call = (after - before) / 100000 * 1000000
print "100k decorated calls in %fs, %fus per call" % (after - before, decorated_usecs_per_call)

Results from an Intel(R) Core(TM) i7 CPU 950 @ 3.07GHz

100k iterations in 0.003448s, 0.034480us per iteration
100k iterations in 4.899722s, 48.997221us per iteration
100k calls in 0.010108s, 0.101080us per call
100k decorated calls in 5.416182s, 54.161820us per call