nGrinder工具进行接口性能测试

1.背景

之前在这篇文章中性能测试初探—接口性能测试介绍过nGrinder,本文将介绍在nGrinder脚本中使用资源文件中数据作为接口参数和解析生成的CSV结果,生成TPS标准差,TPS波动率,最小/大RT,RT 25/50/75/80/85/90/95/99百分位数(原生结果中无这些结果,这些结果更有利于性能分析)。

2.实现

2-1.创建脚本

nGrinder工具进行接口性能测试_第1张图片

nGrinder工具进行接口性能测试_第2张图片
如果脚本中需获取参数,可以使用Performance Test菜单下的Test Configuration->Show Advanced Configuration->Parameter输入框中参数值(http://www.cubrid.org/wiki_ngrinder/entry/how-to-pass-a-parameter-to-the-script),但是只支持1-50字符长度;如果参数值较长,可以使用resources(http://www.cubrid.org/wiki_ngrinder/entry/how-to-use-resources), 支持json, csv, txt, properties格式。

脚本示例如下:

定义String[] basic用于存放文件./resources/basicauth.txt中的值(数组元素为文件中的每一行)

HTTP GET:


package org.ngrinder;

import static net.grinder.script.Grinder.grinder
import static org.junit.Assert.*
import static org.hamcrest.Matchers.*
import net.grinder.plugin.http.HTTPRequest
import net.grinder.plugin.http.HTTPPluginControl;
import net.grinder.script.GTest
import net.grinder.script.Grinder
import net.grinder.scriptengine.groovy.junit.GrinderRunner
import net.grinder.scriptengine.groovy.junit.annotation.BeforeProcess
import net.grinder.scriptengine.groovy.junit.annotation.BeforeThread
// import static net.grinder.util.GrinderUtils.* // You can use this if you're using nGrinder after 3.2.3
import org.junit.Before
import org.junit.BeforeClass
import org.junit.Test
import org.junit.runner.RunWith

import HTTPClient.HTTPResponse
import HTTPClient.NVPair


import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
/** * A simple example using the HTTP plugin that shows the retrieval of a * single page via HTTP. * * This script is automatically generated by ngrinder. * * @author hugang */
@RunWith(GrinderRunner)
class TestRunner {
    public static GTest test
    public static HTTPRequest request
    public static File file
    public static String[] basic

    @BeforeProcess
    public static void beforeProcess() {
        HTTPPluginControl.getConnectionDefaults().timeout = 6000
        test = new GTest(1, "10.75.0.55")
        request = new HTTPRequest()
        test.record(request);

        // 将文件内容转成参数数组
        basic = new File("./resources/basicauth.txt") as String[];
        // grinder.logger.info(basic[0] + " " + basic[1])
        grinder.logger.info("before process.");
    }

    @BeforeThread 
    public void beforeThread() {
        grinder.statistics.delayReports=true;
        grinder.logger.info("before thread.");
    }

    @Test
    public void test(){
        // 随机获取auth
        int index = (int) (Math.random() * basic.length);
        String basicAuth = basic[index];
        println(basicAuth);
        // GET请求,wiki http://grinder.sourceforge.net/g3/script-javadoc/net/grinder/plugin/http/HTTPRequest.html
        // param1: uri, param2: queryData, param3: headers
        HTTPResponse result = request.GET("http://10.75.0.55:8080/2/likes/by_me.json",[new NVPair("object_type", "pic")] as NVPair[], [new NVPair("Authorization", basicAuth)] as NVPair[])
        if (result.statusCode == 301 || result.statusCode == 302) {
            grinder.logger.warn("Warning. The response may not be correct. The response code was {}.", result.statusCode); 
        } else {
            assertThat(result.statusCode, is(200));
            // 请求返回的数据
            // println(result.text);
            // 定义一个事务,接口返回数据校验,是否包含
            assertThat(result.text, containsString("\"object_type\":\"pic\""));
        }
    }
}

HTTP post:

package org.ngrinder;

import static net.grinder.script.Grinder.grinder
import static org.junit.Assert.*
import static org.hamcrest.Matchers.*
import net.grinder.plugin.http.HTTPRequest
import net.grinder.plugin.http.HTTPPluginControl;
import net.grinder.script.GTest
import net.grinder.script.Grinder
import net.grinder.scriptengine.groovy.junit.GrinderRunner
import net.grinder.scriptengine.groovy.junit.annotation.BeforeProcess
import net.grinder.scriptengine.groovy.junit.annotation.BeforeThread
// import static net.grinder.util.GrinderUtils.* // You can use this if you're using nGrinder after 3.2.3
import org.junit.Before
import org.junit.BeforeClass
import org.junit.Test
import org.junit.runner.RunWith

import HTTPClient.HTTPResponse
import HTTPClient.NVPair


import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
/** * A simple example using the HTTP plugin that shows the retrieval of a * single page via HTTP. * * This script is automatically generated by ngrinder. * * @author hugang */
@RunWith(GrinderRunner)
class TestRunner {
    public static GTest test
    public static HTTPRequest request
    public static File file
    public static String[] basic

    @BeforeProcess
    public static void beforeProcess() {
        HTTPPluginControl.getConnectionDefaults().timeout = 6000
        test = new GTest(1, "10.210.230.28")
        request = new HTTPRequest()
        test.record(request);

        // 将文件内容转成参数数组
        basic = new File("./resources/basicauth.txt") as String[];
        // grinder.logger.info(basic[0] + " " + basic[1])
        grinder.logger.info("before process.");
    }

    @BeforeThread 
    public void beforeThread() {
        grinder.statistics.delayReports=true;
        grinder.logger.info("before thread.");
    }

    @Test
    public void test(){
        // 随机获取auth
        int index = (int) (Math.random() * basic.length);
        String basicAuth = basic[index];
        println(basicAuth);
        // POST请求,wiki http://grinder.sourceforge.net/g3/script-javadoc/net/grinder/plugin/http/HTTPRequest.html
        // param1: uri, param2: queryData, param3: headers
        HTTPResponse result = request.POST("http://10.210.230.28/2/statuses/update.json",[new NVPair("status", "text " + Math.random())] as NVPair[], [new NVPair("Authorization", basicAuth)] as NVPair[])
        if (result.statusCode == 301 || result.statusCode == 302) {
            grinder.logger.warn("Warning. The response may not be correct. The response code was {}.", result.statusCode); 
        } else {
            assertThat(result.statusCode, is(200));
            // 请求返回的数据
            // println(result.text);
            // 定义一个事务,接口返回数据校验,是否包含
            assertThat(result.text, containsString("\"created_at\":"));
        }
    }
}


2-2. 验证脚本

点击Validate Script, 会出现如下信息:

...
2016-02-15 16:56:32,140 INFO  Start time is 1455526592140 ms since Epoch
2016-02-15 16:56:32,318 INFO  http://10.75.0.55:8080/2/likes/by_me.json?object_type=pic -> 200 OK, 3414 bytes
2016-02-15 16:56:32,342 INFO  finished 1 run
2016-02-15 16:56:32,345 INFO  elapsed time is 204 ms
2016-02-15 16:56:32,345 INFO  Final statistics for this process:
2016-02-15 16:56:32,355 INFO  
             Tests        Errors       Mean Test    Test Time    TPS          Mean         Response     Response     Mean time to Mean time to Mean time to 
                                       Time (ms)    Standard                  response     bytes per    errors       resolve host establish    first byte   
                                                    Deviation                 length       second                                 connection                
                                                    (ms)                                                                                                    

Test 1       1            0            32.00        0.00         4.90         3414.00      16735.29     0            1.00         5.00         24.00         "10.75.0.55"

Totals       1            0            32.00        0.00         4.90         3414.00      16735.29     0            1.00         5.00         24.00    
...

Tests 为1, Errors 为0 表示脚本验证通过。

2-3.设计场景

nGrinder工具进行接口性能测试_第3张图片

nGrinder工具进行接口性能测试_第4张图片

3.结果

nGrinder工具进行接口性能测试_第5张图片

nGrinder工具进行接口性能测试_第6张图片

3.1.汇总信息

如果还需获取详细信息,需下载csv文件:

汇总数据项目地址:https://github.com/neven7/ngrinder-csv-analysis

解析ngrinder csv结果,统计TPS标准差,TPS波动率,最小/大RT,RT 25/50/75/80/85/90/95/99百分位数

步骤:

  1. 将ngrinder 生成的csv文件:output.csv,放到工程src/main/resources下

  2. 执行src/main/java下ParseCsv.java文件

Console输出结果示例:

TPS平均值:257.88

TPS标准差:33.10

TPS波动率:12.84%

RT平均响应时间:19.43 ms

Min RT:14.90 ms

RT 25百分位数:18.07 ms

RT 50百分位数:19.14 ms

RT 75百分位数:20.33 ms

RT 80百分位数:20.78 ms

RT 85百分位数:21.29 ms

RT 90百分位数:21.86 ms

RT 95百分位数:23.52 ms

RT 99百分位数:25.91 ms

Max RT:46.93 ms

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