This is a sample that shows how to implement a micro-serivce on C++ using the C++ REST SDK
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Install git, CMake, boost, openssl on your system, if you are using macOS this can be acomplished easily with the following command:
$ brew install cmake git openssl boost zlib -
Clone the repository.
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Execute the below command:
$ export OPENSSL_ROOT_DIR=/usr/local/opt/openssl -
Go to the directory micro-service/libs and execute the script:
./build_dependencies.shthat'll clone the C++ REST SDK repository and will build the static version of the library, if you want to build the dynamic link version of the library just on the build_dependencies.sh script remove the flag:-DBUILD_SHARED_LIBS=OFF. -
Go to the directory micro-service and type the following commands:
$ mkdir build $ cd build $ cmake -G "Unix Makefiles" -DCMAKE_BUILD_TYPE=Debug .. -
Finally type the command:
$ make -j 8 -
On
./builddirectory type and you should see the following output:$ ./micro-service $ Modern C++ Microservice now listening for requests at: http://<your computer's IP>:6502/v1/ivmero/api -
To perform a benchmark on the Modern C++ Microservice I had included two lua scritps which can be executed using WRK2 HTTP Benckmark Tool, using the following command:
$ ./wrk -c100 -t8 -d60s -s benchmark_microsvc.lua http://192.168.100.6:6502 --latency --rate 2000and see results similar to these:
Running 1m test @ http://192.168.100.16:6502 8 threads and 100 connections Thread calibration: mean lat.: 1.524ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.536ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.485ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.505ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.490ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.496ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.486ms, rate sampling interval: 10ms Thread calibration: mean lat.: 1.508ms, rate sampling interval: 10ms Thread Stats Avg Stdev Max +/- Stdev Latency 1.51ms 0.85ms 25.66ms 86.53% Req/Sec 263.60 98.75 1.00k 78.74% Latency Distribution (HdrHistogram - Recorded Latency) 50.000% 1.45ms 75.000% 1.85ms 90.000% 2.23ms 99.000% 3.07ms 99.900% 14.38ms 99.990% 23.30ms 99.999% 25.50ms 100.000% 25.68ms Detailed Percentile spectrum: Value Percentile TotalCount 1/(1-Percentile) 0.197 0.000000 1 1.00 0.758 0.100000 10021 1.11 0.975 0.200000 20018 1.25 1.153 0.300000 30007 1.43 1.309 0.400000 40011 1.67 1.453 0.500000 49964 2.00 1.526 0.550000 54957 2.22 1.601 0.600000 59976 2.50 1.677 0.650000 64919 2.86 1.760 0.700000 69927 3.33 1.850 0.750000 74946 4.00 1.898 0.775000 77400 4.44 1.950 0.800000 79900 5.00 2.007 0.825000 82423 5.71 2.071 0.850000 84903 6.67 2.147 0.875000 87415 8.00 2.191 0.887500 88683 8.89 2.235 0.900000 89922 10.00 2.285 0.912500 91143 11.43 2.341 0.925000 92421 13.33 2.405 0.937500 93643 16.00 2.443 0.943750 94257 17.78 2.485 0.950000 94884 20.00 2.533 0.956250 95498 22.86 2.591 0.962500 96139 26.67 2.661 0.968750 96766 32.00 2.699 0.971875 97060 35.56 2.743 0.975000 97384 40.00 2.787 0.978125 97689 45.71 2.841 0.981250 97995 53.33 2.909 0.984375 98310 64.00 2.941 0.985938 98466 71.11 2.977 0.987500 98619 80.00 3.027 0.989062 98776 91.43 3.091 0.990625 98931 106.67 3.165 0.992188 99090 128.00 3.207 0.992969 99166 142.22 3.263 0.993750 99245 160.00 3.317 0.994531 99321 182.86 3.405 0.995313 99399 213.33 3.485 0.996094 99477 256.00 3.537 0.996484 99519 284.44 3.623 0.996875 99557 320.00 3.767 0.997266 99594 365.71 4.111 0.997656 99633 426.67 6.319 0.998047 99672 512.00 8.943 0.998242 99692 568.89 10.247 0.998437 99711 640.00 11.415 0.998633 99731 731.43 12.871 0.998828 99750 853.33 14.503 0.999023 99770 1024.00 15.215 0.999121 99780 1137.78 15.759 0.999219 99789 1280.00 16.215 0.999316 99799 1462.86 16.911 0.999414 99809 1706.67 18.751 0.999512 99819 2048.00 19.279 0.999561 99825 2275.56 19.743 0.999609 99828 2560.00 20.383 0.999658 99834 2925.71 21.263 0.999707 99838 3413.33 21.375 0.999756 99843 4096.00 21.615 0.999780 99846 4551.11 21.647 0.999805 99848 5120.00 21.839 0.999829 99850 5851.43 22.303 0.999854 99853 6826.67 22.799 0.999878 99855 8192.00 23.295 0.999890 99857 9102.22 23.567 0.999902 99858 10240.00 23.631 0.999915 99859 11702.86 23.823 0.999927 99860 13653.33 24.415 0.999939 99861 16384.00 24.895 0.999945 99862 18204.44 25.135 0.999951 99863 20480.00 25.135 0.999957 99863 23405.71 25.183 0.999963 99864 27306.67 25.183 0.999969 99864 32768.00 25.391 0.999973 99865 36408.89 25.391 0.999976 99865 40960.00 25.391 0.999979 99865 46811.43 25.503 0.999982 99866 54613.33 25.503 0.999985 99866 65536.00 25.503 0.999986 99866 72817.78 25.503 0.999988 99866 81920.00 25.503 0.999989 99866 93622.86 25.679 0.999991 99867 109226.67 25.679 1.000000 99867 inf #[Mean = 1.510, StdDeviation = 0.851] #[Max = 25.664, Total count = 99867] #[Buckets = 27, SubBuckets = 2048] ---------------------------------------------------------- 119986 requests in 1.00m, 12.36MB read Requests/sec: 1999.74 Transfer/sec: 210.91KB
IMPORTANT The results above will depend on the system where the test is executed and please to avoid execisve I/O during the test comment the following line on any of the scripts:
response = function(status, headers, body)
-- comment the following line to avoid server's excesive I/O to console on heavy load
-- io.write("response: \n" .. body .. "\n---------------------------------------------\n")
end
You can copy from the results above the histogram's section following the sample format found here, save it into a file and see a nice graph unsing HdrHistogram Ploter.