寫程序作下性能測試都是例行的事情了,通常在普通電腦上測試一下若是比較理想那基本不出什麼意外!但世事難料,代碼寫得很差常常擔憂CPU不夠用,其實寫得好但不能徹底發揮出CPU資源的優點更是一件悲劇的事情!此次事件已經發生了兩回,其實還真的很折磨人的。話很少說回到今天的正題Newtonsoft.Json
vs Protobuf.net
,對於二者的性能我相信大部分人會站在Protobuf.net
這一邊,的確Protobuf.net
做爲進制序列化比JSON
文本的序列化要高效也是正常事情;但總會有些狀況讓人難以預料的!接下來看一下測試狀況git
測試硬件:配置是E3-1230V2 測試用例:返回指定數據量的客戶列表信息github
D:\>bombardier.exe -c 100 -n 10000000 http://192.168.2.18:8080/customers_json/3 Bombarding http://192.168.2.18:8080/customers_json/3 with 10000000 request(s) us ing 100 connection(s) 10000000 / 10000000 [==========================================] 100.00% 1m16s Done! Statistics Avg Stdev Max Reqs/sec 131290.96 14813.10 146691.93 Latency 757.08us 1.13ms 398.02ms HTTP codes: 1xx - 0, 2xx - 10000000, 3xx - 0, 4xx - 0, 5xx - 0 others - 0 Throughput: 118.21MB/s
D:\>bombardier.exe -c 100 -n 10000000 http://192.168.2.18:8080/customers_protobu f/3 Bombarding http://192.168.2.18:8080/customers_protobuf/3 with 10000000 request(s ) using 100 connection(s) 10000000 / 10000000 [===========================================] 100.00% 1m5s Done! Statistics Avg Stdev Max Reqs/sec 152160.79 14677.95 163191.02 Latency 653.08us 1.10ms 396.02ms HTTP codes: 1xx - 0, 2xx - 10000000, 3xx - 0, 4xx - 0, 5xx - 0 others - 0 Throughput: 86.35MB/s
因爲數據都是字符類型的字段,因此Protobuf.net
在性能上並沒佔有多大的優點,不過的確能夠節省大量的帶寬,大概能節少40%的帶寬資源。其實從測試結果看來JSON處理也並無想像中那麼慢,性能差距在20-30%之間,其實仍是能夠接受的。json
既然在低配置的機器上Protobuf.net
有優點,那高配置的服務器按理也不會存在什麼問題。但測試結果告訴咱們,Protobuf.net
輸給了Newtonsoft.Json
! 測試硬件:配置是E5-2670V2*2 測試用例:返回指定數據量的客戶列表信息服務器
G:\>bombardier.exe -c 100 -n 10000000 http://192.168.2.19:8080/customers_json/3 Bombarding http://192.168.2.19:8080/customers_json/3 with 10000000 request(s) us ing 100 connection(s) 10000000 / 10000000 [============================================] 100.00% 36s Done! Statistics Avg Stdev Max Reqs/sec 271738.73 67774.12 329181.89 Latency 361.86us 4.37ms 3.06s HTTP codes: 1xx - 0, 2xx - 10000000, 3xx - 0, 4xx - 0, 5xx - 0 others - 0 Throughput: 244.72MB/s
G:\>bombardier.exe -c 100 -n 10000000 http://192.168.2.19:8080/customers_protobu f/3 Bombarding http://192.168.2.19:8080/customers_protobuf/3 with 10000000 request(s ) using 100 connection(s) 10000000 / 10000000 [============================================] 100.00% 41s Done! Statistics Avg Stdev Max Reqs/sec 243710.66 28345.63 275334.86 Latency 406.47us 829.25us 394.02ms HTTP codes: 1xx - 0, 2xx - 10000000, 3xx - 0, 4xx - 0, 5xx - 0 others - 0 Throughput: 138.26MB/s
G:\>bombardier.exe -c 100 -n 10000000 http://192.168.2.19:8080/customers_json/10 Bombarding http://192.168.2.19:8080/customers_json/10 with 10000000 request(s) u sing 100 connection(s) 10000000 / 10000000 [============================================] 100.00% 51s Done! Statistics Avg Stdev Max Reqs/sec 196290.74 66381.50 263699.22 Latency 502.81us 4.00ms 3.05s HTTP codes: 1xx - 0, 2xx - 10000000, 3xx - 0, 4xx - 0, 5xx - 0 others - 0 Throughput: 513.10MB/s
G:\>bombardier.exe -c 100 -n 10000000 http://192.168.2.19:8080/customers_protobu f/10 Bombarding http://192.168.2.19:8080/customers_protobuf/10 with 10000000 request( s) using 100 connection(s) 10000000 / 10000000 [==========================================] 100.00% 1m14s Done! Statistics Avg Stdev Max Reqs/sec 135254.64 24971.37 165490.90 Latency 737.06us 1.24ms 513.03ms HTTP codes: 1xx - 0, 2xx - 10000000, 3xx - 0, 4xx - 0, 5xx - 0 others - 0 Throughput: 200.84MB/s
G:\>bombardier.exe -c 100 -n 10000000 http://192.168.2.19:8080/customers_json/20 Bombarding http://192.168.2.19:8080/customers_json/20 with 10000000 request(s) u sing 100 connection(s) 10000000 / 10000000 [============================================] 100.00% 54s Done! Statistics Avg Stdev Max Reqs/sec 182806.15 37623.75 209487.43 Latency 541.37us 1.48ms 0.90s HTTP codes: 1xx - 0, 2xx - 10000000, 3xx - 0, 4xx - 0, 5xx - 0 others - 0 Throughput: 0.89GB/s
G:\>bombardier.exe -c 100 -n 10000000 http://192.168.2.19:8080/customers_protobu f/20 Bombarding http://192.168.2.19:8080/customers_protobuf/20 with 10000000 request( s) using 100 connection(s) 10000000 / 10000000 [==========================================] 100.00% 1m50s Done! Statistics Avg Stdev Max Reqs/sec 90249.67 9611.23 102294.37 Latency 1.10ms 1.04ms 518.03ms HTTP codes: 1xx - 0, 2xx - 10000000, 3xx - 0, 4xx - 0, 5xx - 0 others - 0 Throughput: 246.07MB/s
隨着返回的列表數據越大,Protobuf.net
的響應延時就越高,但服務器的CPU資源佔用率比較低。而Newtonsoft.Json
雖然損耗了大量的CPU資源,但它能經過CPU資源能夠有效地把併發數量提高起來;當在獲取20個客戶信息的時候,基本把10Gb的帶寬佔滿並達到180000RPS。Protobuf.net
在CPU資源佔用率上來講雖然比'Newtonsoft.Json'要低不少,但面對一個悲劇的事情就是沒法把RPS提高上去,在最後的測試結果裏落後了Newtonsoft.Json
一倍的RPS.多線程
隨着硬件資源大規模化,在測試程序的時候也要考慮這狀況,程序沒法在高配置資源徹底發揮硬件資源的優點這種狀況針對我我的而言已是第二次了,這種事情剛開始真讓人感受到至關無助,由於這真的很難讓人接受的事實!其實出現這狀況都是程序的某個功能點在多線程併發上出現了擁擠的狀況,第一次出現這狀況是.net core的ServerGC設置,而這一次看了Protobuf.Net的代碼發現有些關鍵方法靜態方法上出現的多對象鎖的代碼,多是這些鎖致使在更多線程資源使用的時候沒法達到一個更好的併發效果。最後在這裏提醒一下測試的朋友,程序的性能很重要,但有一點也很重要的就是徹底發揮全部硬件資源處理更多的事情。併發
若是感興趣這個測試的代碼,能夠經過如下地址獲取:https://github.com/IKende/FastHttpApi/blob/master/WebApi_json_vs_protobuf.zip性能