loadrunner工具的使用,最关键的在于3个地方:

A:脚本的编写

B:场景设计

C:性能测试结果分析

其中难度比较大的第一步是:编写脚本,有很多人对于loadrunner里面的各种函数使用的并不熟练,理解也不透彻,导致各种翻阅资料也找不到正解,耽误了学习的时间。所以最近这段时间,华华会把loadrunner里面的一系列函数都会写出来,给大家答疑解惑:今天我们的主角是:web_reg_find()

函数名:web_reg_find()

1:首先我们通过函数助手:F1键,可以帮我们召唤出函数助手。我们输入web_reg_find(),查看这个函数的注释:

aaarticlea/png;base64,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" alt="" />

函数的作用是从响应结果里面查找指定的字符串内容是否存在,存在就脚本通过,不存在就报错。

用法:

 web_reg_find("Text=Welcome",
LAST );

1:Text这个参数表示你要查找的字符内容,你要查找什么就写什么即可。

2:这个是预注册函数,顾名思义。如果你要查找指定的字符内容,那么请放在你的请求之前。因为他是从http请求的响应结果里面去查找内容。

3:请自行补充什么是HTTP请求 以及HTTP响应,有助于自己理解第2点内容。

实战:

1:地址:http://127.0.0.1:1080/webtours/(loadrunner自带的工具)

2:操作:打开网页,查找'sign up now'内容

3:字符所在位置:

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" alt="" />

4:脚本如下:

Action()
{
    web_reg_find("Text=sign up now",LAST);
    web_url("web_url",
        "URL=http://127.0.0.1:1080/webtours/",
        "TargetFrame=",
        "Resource=0",
        "Referer=",
        LAST);     return 0;
}

5:运行脚本,结果如下所示:

aaarticlea/png;base64,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alt="" />

下一节,我们来介绍下预注册函数 web_reg_save_param()函数的用法。

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