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"""Compare spawn to spawn_n"""
import eventlet
import benchmarks
def cleanup():
eventlet.sleep(0.2)
iters = 10000
best = benchmarks.measure_best(5, iters,
'pass',
cleanup,
eventlet.sleep)
print "eventlet.sleep (main)", best[eventlet.sleep]
gt = eventlet.spawn(benchmarks.measure_best,5, iters,
'pass',
cleanup,
eventlet.sleep)
best = gt.wait()
print "eventlet.sleep (gt)", best[eventlet.sleep]
def dummy(i=None):
return i
def run_spawn():
eventlet.spawn(dummy, 1)
def run_spawn_n():
eventlet.spawn_n(dummy, 1)
def run_spawn_n_kw():
eventlet.spawn_n(dummy, i=1)
best = benchmarks.measure_best(5, iters,
'pass',
cleanup,
run_spawn_n,
run_spawn,
run_spawn_n_kw)
print "eventlet.spawn", best[run_spawn]
print "eventlet.spawn_n", best[run_spawn_n]
print "eventlet.spawn_n(**kw)", best[run_spawn_n_kw]
print "%% %0.1f" % ((best[run_spawn]-best[run_spawn_n])/best[run_spawn_n] * 100)
pool = None
def setup():
global pool
pool = eventlet.GreenPool(iters)
def run_pool_spawn():
pool.spawn(dummy, 1)
def run_pool_spawn_n():
pool.spawn_n(dummy, 1)
def cleanup_pool():
pool.waitall()
best = benchmarks.measure_best(3, iters,
setup,
cleanup_pool,
run_pool_spawn,
run_pool_spawn_n,
)
print "eventlet.GreenPool.spawn", best[run_pool_spawn]
print "eventlet.GreenPool.spawn_n", best[run_pool_spawn_n]
print "%% %0.1f" % ((best[run_pool_spawn]-best[run_pool_spawn_n])/best[run_pool_spawn_n] * 100)
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