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#1
#耗時1-*- coding:utf8-*-
import
datetime
road_nodes ={}
for i in range(5000000):
road_nodes[i] =
beg_time =datetime.datetime.now()
for key, val in
road_nodes.items():
pass
end_time =datetime.datetime.now()
"time_scan:
", end_time - beg_time
2
$python com_1.py
time_scan: 0:00:17.126098
#2
#耗時1-*- coding:utf8-*-
import
datetime
road_nodes =
for i in range(5000000):
beg_time =datetime.datetime.now()
for key in
road_nodes:
pass
end_time =datetime.datetime.now()
"time_scan:
", end_time - beg_time
2
$python com_2.py
time_scan: 0:00:00.325304
#3
#耗時1-*- coding:utf8-*-
import
datetime
road_nodes ={}
for i in range(5000000):
road_nodes[i] =
beg_time =datetime.datetime.now()
for key in
road_nodes:
pass
end_time =datetime.datetime.now()
"time_scan:
", end_time - beg_time
2
$python com_3.py
time_scan: 0:00:00.359197
總結只對於字典key的遍歷,用for key in dic方式
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#1
from datetime import執行1datetime
a =for i in range(50000):
aim_list =
for i in range(1000000):
beg_time =datetime.now()
for key in
a:
if key in
aim_list:
pass
end_time =datetime.now()
"scan:
", end_time - beg_time
2
$python draw.py
scan: 0:00:38.624985
#2
from datetime import執行1datetime
a =for i in range(50000):
aim_list ={}
for i in range(1000000):
aim_list[i] =none
beg_time =datetime.now()
for key in
a:
if key in
aim_list:
pass
end_time =datetime.now()
"scan:
", end_time - beg_time
2
$python draw2.py
scan: 0:00:00.014031
分析
巨大的差異由 aim_list型別導致,乙個是list,乙個是dict
for i in ***時,list是乙個個遍歷,效率是o(n);dict是直接找到,效率是o(1)。
python效能對比
1 coding utf8 import datetime road nodes for i in range 5000000 road nodes i beg time datetime.datetime.now for key,val in road nodes.items pass end t...
python效能對比
1 coding utf8 import datetime road nodes for i in range 5000000 road nodes i beg time datetime.datetime.now for key,val in road nodes.items pass end t...
SSD效能對比
ssd效能測試 順序寫 16k iops 85061.08 順序寫 8k iops 146250.93 順序寫 4k iops 239816.69 順序寫 2k iops 294540.87 順序寫 1k iops 347170.06 隨機寫 16k iops 21865.24 隨機寫 8k iop...