关于c#:3-堪比JMeter的Net压测工具-Crank-进阶篇-认识bombardier

1. 前言

通过之前的学习，咱们曾经理解了各参数以及配置的意义，接下来的文章咱们别离从bombardier以及wrk动手，进一步理解彼此之间的分割

2. 意识 bombardier

bombardier 是一个 HTTP(S) 基准测试工具。它是用 Go 编程语言编写的，并应用优良的fasthttp代替 Go 的默认 http 库，因为它具备闪电般的疾速性能，具体文档查看

其反对参数：

-c, --connections=125       Maximum number of concurrent connections-t, --timeout=2s            Socket/request timeout-l, --latencies             Print latency statistics-m, --method=GET            Request method-b, --body=""               Request body-f, --body-file=""          File to use as request body-s, --stream                Specify whether to stream body using chunked                            transfer encoding or to serve it from memory    --cert=""               Path to the client's TLS Certificate    --key=""                Path to the client's TLS Certificate Private Key-k, --insecure              Controls whether a client verifies the server's                            certificate chain and host name-H, --header="K: V" ...     HTTP headers to use(can be repeated)-n, --requests=[pos. int.]  Number of requests-d, --duration=10s          Duration of test-r, --rate=[pos. int.]      Rate limit in requests per second    --fasthttp              Use fasthttp client    --http1                 Use net/http client with forced HTTP/1.x    --http2                 Use net/http client with enabled HTTP/2.0-p, --print=<spec>          Specifies what to output. Comma-separated list of                            values 'intro' (short: 'i'), 'progress' (short:                            'p'), 'result' (short: 'r'). Examples:                              * i,p,r (prints everything)                              * intro,result (intro & result)                              * r (result only)                              * result (same as above)-q, --no-print              Don't output anything-o, --format=<spec>         Which format to use to output the result. <spec>                            is either a name (or its shorthand) of some format                            understood by bombardier or a path to the                            user-defined template, which uses Go's                            text/template syntax, prefixed with 'path:' string                            (without single quotes), i.e.                            "path:/some/path/to/your.template" or                            "path:C:\some\path\to\your.template" in case of                            Windows. Formats understood by bombardier are:                              * plain-text (short: pt)                              * json (short: j)

并且bombardier反对多平台，能够在Windows、Linux、OSX零碎上运行，那接下来咱们应用bombardier测试一下百度的压测状况

装置（WSL-Ubuntu）：

sudo apt install wgetsudo wget https://github.com/codesenberg/bombardier/releases/download/v1.2.5/bombardier-linux-arm64

运行：

./bombardier-linux-arm64  -c 200 -d 1s --insecure -l https://www.baidu.com --print r --format json

其中:

req1xx代表http响应码为1**
req2xx代表http响应码为2**
req3xx代表http响应码为3**
req4xx代表http响应码为4**
req5xx代表http响应码为5**
result.rps.mean代表每秒申请数
result.rps.max代表每秒最大申请数
result.latency.mean代表每毫秒提早
result.latency.max代表每毫秒最大提早

3. 理解Microsoft.Crank.Jobs.Bombardier

在Microsoft.Crank.Jobs.Bombardier我的项目中Program.cs

依据参数获取-w、-d、-n、-f参数信息
校验压测时长、申请数等参数信息
判断以后运行环境是Windows、Linux、OSX，依据环境下载对应的bombardier，并依据传递的
依据yml参数最初拼装bombardier的原始命令:
bombardier -c 200 -d 1s --insecure -l https://www.baidu.com --print r --format json
将输入的后果应用追加到stringBuilder上，再赋值给output
通过JObject.Parse解析指标，最初通过BenchmarksEventSource存储并输入到控制台或数据库、csv、json中

其中

申请总数 = req1xx + req2xx + req3xx + req4xx + req5xx + others
胜利申请数 = req2xx + req3xx
失败申请数 = 申请总数 - 胜利申请数

BenchmarksEventSource.Register("bombardier/requests;http/requests", Operations.Max, Operations.Sum, "Requests", "Total number of requests", "n0");BenchmarksEventSource.Register("bombardier/badresponses;http/requests/badresponses", Operations.Max, Operations.Sum, "Bad responses", "Non-2xx or 3xx responses", "n0");BenchmarksEventSource.Register("bombardier/latency/mean;http/latency/mean", Operations.Max, Operations.Avg, "Mean latency (us)", "Mean latency (us)", "n0");BenchmarksEventSource.Register("bombardier/latency/max;http/latency/max", Operations.Max, Operations.Max, "Max latency (us)", "Max latency (us)", "n0");BenchmarksEventSource.Register("bombardier/rps/mean;http/rps/mean", Operations.Max, Operations.Sum, "Requests/sec", "Requests per second", "n0");BenchmarksEventSource.Register("bombardier/rps/max;http/rps/max", Operations.Max, Operations.Sum, "Requests/sec (max)", "Max requests per second", "n0");BenchmarksEventSource.Register("bombardier/throughput;http/throughput", Operations.Max, Operations.Sum, "Read throughput (MB/s)", "Read throughput (MB/s)", "n2");BenchmarksEventSource.Register("bombardier/raw", Operations.All, Operations.All, "Raw results", "Raw results", "json");var total =    document["result"]["req1xx"].Value<long>()    + document["result"]["req2xx"].Value<long>()    + document["result"]["req3xx"].Value<long>()    + document["result"]["req3xx"].Value<long>()    + document["result"]["req4xx"].Value<long>()    + document["result"]["req5xx"].Value<long>()    + document["result"]["others"].Value<long>();var success = document["result"]["req2xx"].Value<long>() + document["result"]["req3xx"].Value<long>();BenchmarksEventSource.Measure("bombardier/requests;http/requests", total);BenchmarksEventSource.Measure("bombardier/badresponses;http/requests/badresponses", total - success);BenchmarksEventSource.Measure("bombardier/latency/mean;http/latency/mean", document["result"]["latency"]["mean"].Value<double>());BenchmarksEventSource.Measure("bombardier/latency/max;http/latency/max", document["result"]["latency"]["max"].Value<double>());BenchmarksEventSource.Measure("bombardier/rps/max;http/rps/max", document["result"]["rps"]["max"].Value<double>());BenchmarksEventSource.Measure("bombardier/rps/mean;http/rps/mean", document["result"]["rps"]["mean"].Value<double>());BenchmarksEventSource.Measure("bombardier/raw", output);var bytesPerSecond = document["result"]["bytesRead"].Value<long>() / document["result"]["timeTakenSeconds"].Value<double>();// B/s to MB/sBenchmarksEventSource.Measure("bombardier/throughput", bytesPerSecond / 1024 / 1024);

4. 解读bombardier.yml各参数作用

connections: 最大并发连接数，默认: 256
warmup: 预热工夫，默认15s，与执行duration相似，而并非压测次数
- 当warmup > 0时，会先预热warmup秒后再执行一次压测，第二次的压测才是最初返回的后果
- 当warmup = 0时，不进行预热，间接开始压测
duration: 测试时长，单位: s
requests: 申请数
rate: 每秒申请数限度
transport: 传输方式。默认: fasthttp 、反对fasthttp、http1、http2三种
presetHeaders: 预设header，依据全局参数headers，自选其一即可，抉择json，那申请的header即为: --header "Accept: application/json,text/html;q=0.9,application/xhtml+xml;q=0.9,application/xml;q=0.8,/;q=0.7" --header "Connection: keep-alive"
customHeaders: 自定义headers，如果预设headers中没有须要的header，则通过重写customHeaders，以实现自定义header的目标
serverUri: 自定义url，如果此参数存在，则申请地址为: {serverUri}:{serverPort}{path}
serverPort: 服务端口
serverScheme: 服务的Scheme，默认http、反对http、https两种
serverAddress: 服务地址、不蕴含http、例如: www.baidu.com，如果serverUri存在，此配置有效，如果不存在，申请格局为: {serverScheme}://{serverAddress}:{serverPort}{path}
path: 服务接口地址，不蕴含域，例如: /api/check/healthy
bodyFile: body内容，仅在非Get申请时应用，反对近程门路与本地绝对路径（Agent服务的相对地址，非Controller端的相对地址）
verb: 申请形式: 默认GET、反对POST、PUT、DELETE、PATCH、GET

5. 总结

劣势:

跨平台
用法简略
应用go语言开发、性能高

劣势:

不反对动静参数
不反对多个接口同时压测

bombardier.yml的存在是为Microsoft.Crank.Jobs.Bombardier提供配置参数，Microsoft.Crank.Jobs.Bombardier通过调用开源我的项目bombardier实现压测，并将压测后果通过BenchmarksEventSource存储并输入到控制台或数据库、csv、json中

源码地址：https://github.com/doddgu/cra...

开源地址

MASA.BuildingBlocks：https://github.com/masastack/...

MASA.Contrib：https://github.com/masastack/...

MASA.Utils：https://github.com/masastack/...

MASA.EShop：https://github.com/masalabs/M...

MASA.Blazor：https://github.com/BlazorComp...

如果你对咱们的 MASA Framework 感兴趣，无论是代码奉献、应用、提 Issue，欢送分割咱们