##requirements Go: redis client(fixed from hoisie's redis.go)
Node.js:
`npm install -g hredis`
##system info
Linux krazy 3.4.4-2-ARCH #1 SMP PREEMPT Sun Jun 24 18:59:47 CEST 2012 x86_64 GNU/Linux
processor : 3
vendor_id : GenuineIntel
cpu family : 6
model : 37
model name : Intel(R) Core(TM) i5 CPU M 520 @ 2.40GHz
stepping : 2
microcode : 0x9
cpu MHz : 2400.000
cache size : 3072 KB
##benchmark statistics ###100 clients ####Go: 2285.816579 task-clock # 0.023 CPUs utilized
27,459 context-switches # 0.012 M/sec
4,265 CPU-migrations # 0.002 M/sec
142,385 page-faults # 0.062 M/sec
3,800,092,301 cycles # 1.662 GHz [83.31%]
2,525,479,877 stalled-cycles-frontend # 66.46% frontend cycles idle [82.59%]
1,425,696,558 stalled-cycles-backend # 37.52% backend cycles idle [68.15%]
2,426,433,455 instructions # 0.64 insns per cycle
1.04 stalled cycles per insn [89.79%]
567,501,478 branches # 248.271 M/sec [85.34%]
20,909,990 branch-misses # 3.68% of all branches [83.77%]
100.235526142 seconds time elapsed
####Node: 9474.336083 task-clock # 0.094 CPUs utilized
54,295 context-switches # 0.006 M/sec
8,984 CPU-migrations # 0.948 K/sec
457,762 page-faults # 0.048 M/sec
23,682,864,275 cycles # 2.500 GHz [83.15%]
14,983,946,055 stalled-cycles-frontend # 63.27% frontend cycles idle [83.69%]
9,961,776,331 stalled-cycles-backend # 42.06% backend cycles idle [67.12%]
18,546,817,673 instructions # 0.78 insns per cycle
0.81 stalled cycles per insn [84.45%]
3,495,682,550 branches # 368.963 M/sec [82.92%]
128,459,342 branch-misses # 3.67% of all branches [83.39%]
100.268050890 seconds time elapsed
##300 clients ####Go: 10484.851531 task-clock # 0.035 CPUs utilized
75,854 context-switches # 0.007 M/sec
11,308 CPU-migrations # 0.001 M/sec
873,176 page-faults # 0.083 M/sec
17,816,076,446 cycles # 1.699 GHz [83.65%]
11,556,723,029 stalled-cycles-frontend # 64.87% frontend cycles idle [83.56%]
6,622,424,927 stalled-cycles-backend # 37.17% backend cycles idle [67.76%]
12,970,109,944 instructions # 0.73 insns per cycle
0.89 stalled cycles per insn [86.08%]
2,805,685,026 branches # 267.594 M/sec [82.28%]
85,749,038 branch-misses # 3.06% of all branches [83.46%]
301.485277275 seconds time elapsed
####Node: 65203.089838 task-clock # 0.216 CPUs utilized
2,376,256 context-switches # 0.036 M/sec
134,276 CPU-migrations # 0.002 M/sec
1,540,857 page-faults # 0.024 M/sec
160,028,622,698 cycles # 2.454 GHz [83.16%]
116,724,130,577 stalled-cycles-frontend # 72.94% frontend cycles idle [83.72%]
76,554,624,978 stalled-cycles-backend # 47.84% backend cycles idle [66.83%]
93,263,532,979 instructions # 0.58 insns per cycle
1.25 stalled cycles per insn [83.74%]
17,980,457,917 branches # 275.761 M/sec [83.02%]
686,829,923 branch-misses # 3.82% of all branches [83.38%]
301.789098647 seconds time elapsed
##500 clients ####Go:
14657.905211 task-clock # 0.031 CPUs utilized
276,221 context-switches # 0.019 M/sec
12,559 CPU-migrations # 0.857 K/sec
1,128,474 page-faults # 0.077 M/sec
26,168,154,602 cycles # 1.785 GHz [82.37%]
16,793,404,475 stalled-cycles-frontend # 64.17% frontend cycles idle [82.73%]
9,470,198,837 stalled-cycles-backend # 36.19% backend cycles idle [67.67%]
19,090,185,661 instructions # 0.73 insns per cycle
0.88 stalled cycles per insn [86.50%]
4,110,371,712 branches # 280.420 M/sec [84.46%]
132,114,611 branch-misses # 3.21% of all branches [83.71%]
474.435301811 seconds time elapsed
####Node:
175533.859312 task-clock # 0.299 CPUs utilized
6,887,182 context-switches # 0.039 M/sec
329,808 CPU-migrations # 0.002 M/sec
3,045,929 page-faults # 0.017 M/sec
442,918,334,628 cycles # 2.523 GHz [83.36%]
337,066,430,244 stalled-cycles-frontend # 76.10% frontend cycles idle [83.34%]
229,580,670,733 stalled-cycles-backend # 51.83% backend cycles idle [66.90%]
226,626,576,488 instructions # 0.51 insns per cycle
1.49 stalled cycles per insn [83.62%]
43,966,825,492 branches # 250.475 M/sec [83.25%]
1,652,911,838 branch-misses # 3.76% of all branches [83.31%]
502.714263363 seconds time elapsed
##注意事项
- redis提示too many open connections,尝试ulimit -m 4096或更大
- 测试go和node.js实现前，重启一下redis-server
##结论 Go性能在用户量增大的情况下，性能会比node.js下的性能有明显的提高