安裝
以linux，這裏採用的版本是centos 6 64bit，性能測試工具不建議在Windows上部署。
下載：
https://github.com/naver/ngrinder/releases/
選擇最後面的war包。
服務器端啓動：
# java -XX:MaxPermSize=200m -jar ngrinder-controller-3.4.war --port 8058
這樣nGrinder的管理頁面就部署好，你可以簡單的把ngrinder-controller的功能理解爲性能測試展示和控制，後面會進行詳細介紹。
打開網址：
http://183.131.22.113:8058
默認用戶名和密碼都爲admin
注意：這裏的"Remember me"是短暫停留，頁面關閉之後還是需要重新登陸的。
登錄後點擊右上角的admin，選擇"下載代理"
拷貝下載的文件到agent，現在可以簡單理解爲agent的功能爲執行性能測試，通常不建議與ngrinder-controller部署在同一臺，同一臺機器也不建議部署多個agent。
客戶端啓動：
# nohup ./run_agent.sh &
快速入門
- 輸入網址
http://172.30.249.160
- 配置
- jython腳本
點擊 REV:HEAD，可以看到jython腳本
- 運行
點擊"複製並運行"
- 查看結果
點擊"詳細測試結果"
參考資料
- 技術支持qq羣144081101(代碼和模型存放）
- 本文最新版本地址
- 本文涉及的python測試開發庫 謝謝點贊！
- 本文相關海量書籍下載
- 2018最佳人工智能機器學習工具書及下載(持續更新)
- 接口測試面試題.pdf
- 軟件測試精品書籍下載
測試配置
注意agent RAM up配置是基於進程的，一般每個agent有10個進程。
腳本
首先要配置：grinder.properties，通常在用戶目錄的.ngrinder目錄下。
腳本使用Grinder腳本API，參見：http://grinder.sourceforge.net/g3/script-javadoc/index.html
腳本中的grinder對象是ScriptContext實例，這樣就可以獲取上下文信息。
Hello World
# Hello World
#
# A minimal script that tests The Grinder logging facility.
#
# This script shows the recommended style for scripts, with a
# TestRunner class. The script is executed just once by each worker
# process and defines the TestRunner class. The Grinder creates an
# instance of TestRunner for each worker thread, and repeatedly calls
# the instance for each run of that thread.
from net.grinder.script.Grinder import grinder
from net.grinder.script import Test
# A shorter alias for the grinder.logger.info() method.
log = grinder.logger.info
# Create a Test with a test number and a description. The test will be
# automatically registered with The Grinder console if you are using
# it.
test1 = Test(1, "Log method")
# Instrument the info() method with our Test.
test1.record(log)
# A TestRunner instance is created for each thread. It can be used to
# store thread-specific data.
class TestRunner:
# This method is called for every run.
def __call__(self):
log("Hello World")
Simple HTTP example
# A simple example using the HTTP plugin that shows the retrieval of a
# single page via HTTP. The resulting page is written to a file.
#
# More complex HTTP scripts are best created with the TCPProxy.
from net.grinder.script.Grinder import grinder
from net.grinder.script import Test
from net.grinder.plugin.http import HTTPRequest
test1 = Test(1, "Request resource")
request1 = HTTPRequest()
test1.record(request1)
class TestRunner:
def __call__(self):
result = request1.GET("http://localhost:7001/")
# result is a HTTPClient.HTTPResult. We get the message body
# using the getText() method.
writeToFile(result.text)
# Utility method that writes the given string to a uniquely named file.
def writeToFile(text):
filename = "%s-page-%d.html" % (grinder.processName, grinder.runNumber)
file = open(filename, "w")
print >> file, text
file.close()
更多腳本，參見： http://grinder.sourceforge.net/g3/script-gallery.html