标签：mit art 场景 文件 value 步骤 根据 status param
采用编写VuGen脚本访问Tomcat的Status页面的方式获取性能数据（利用了关联和lr_user_data_point函数），本质上还是使用tomcat自带的监控页面，只是将监控结果加到LR的analysis中。具体步骤如下：
1）首先确保Tomcat中创建了必要权限的用户（编辑Tomcat的\conf目录下的tomcat-users.xml文件），然后在LoadRunner中编写脚本（根据不同版本的tomcat监控结果中的监控数据项会有些差别，根据情况更改脚本）：
double atof (const char *string); extern char* strtok(char *token, const char *delimiter); CollectMetrics() { int countP, countS, countF, countR, countK; int numValues; static int loggedVersionInfo = FALSE; lr_save_string("127.0.0.1:8080", "ServerName"); web_set_max_html_param_len("65536"); web_set_user("admin", "admin", "{ServerName}"); lr_start_transaction("monitor tomcat"); web_reg_save_param("JVMFreeMemory", "LB=Free memory: ", "RB= MB", "Ord=1", LAST); web_reg_save_param("JVMTotalMemory", "LB=Total memory: ", "RB= MB", "Ord=1", LAST); web_reg_save_param("JVMMaxMemory", "LB=Max memory: ", "RB= MB", "Ord=1", LAST); web_reg_save_param("HTTPMaxThreads", "LB=Max threads: ", "RB= ", "Ord=1", LAST); web_reg_save_param("HTTPMinSpareThreads", "LB=Min spare threads: ", "RB= ", "Ord=1", LAST); web_reg_save_param("HTTPMaxSpareThreads", "LB=Max spare threads: ", "RB= ", "Ord=1", LAST); web_reg_save_param("HTTPCurrentSpareThreads", "LB=Current thread count: ", "RB= ", "Ord=1", LAST); web_reg_save_param("HTTPCurrentThreadBusy", "LB=Current thread busy: ", "RB= ", "Ord=1", LAST); web_reg_save_param("HTTPMaxProcessingTime", "LB=Max processing time: ", "RB= ", "Ord=1", LAST); web_reg_save_param("HTTPRequestCount", "LB=Request count: ", "RB= ", "Ord=1", LAST); web_reg_save_param("HTTPErrorCount", "LB=Error count: ", "RB= ", "Ord=1", LAST); web_reg_save_param("HTTPBytesReceived", "LB=Bytes received: ", "RB= ", "Ord=1", LAST); web_reg_save_param("HTTPBytesSent", "LB=Bytes sent: ", "RB= ", "Ord=1", LAST); web_reg_save_param("JKMaxThreads", "LB=Max threads: ", "RB= ", "Ord=2", LAST); web_reg_save_param("JKMinSpareThreads", "LB=Min spare threads: ", "RB= ", "Ord=2", LAST); web_reg_save_param("JKMaxSpareThreads", "LB=Max spare threads: ", "RB= ", "Ord=2", LAST); web_reg_save_param("JKCurrentSpareThreads", "LB=Current thread count: ", "RB= ", "Ord=2", LAST); web_reg_save_param("JKCurrentThreadBusy", "LB=Current thread busy: ", "RB= ", "Ord=2", LAST); web_reg_save_param("JKMaxProcessingTime", "LB=Max processing time: ", "RB= ", "Ord=2", LAST); web_reg_save_param("JKRequestCount", "LB=Request count: ", "RB= ", "Ord=2", LAST); web_reg_save_param("JKErrorCount", "LB=Error count: ", "RB= ", "Ord=2", LAST); web_reg_save_param("JKBytesReceived", "LB=Bytes received: ", "RB= ", "Ord=2", LAST); web_reg_save_param("JKBytesSent", "LB=Bytes sent: ", "RB= ", "Ord=2", LAST); web_reg_find("Text=/manager", LAST); web_url("status", "URL=http://{ServerName}/manager/status", "Resource=0", "RecContentType=text/html", "Referer=", "Snapshot=t1.inf", "Mode=HTTP", LAST); lr_end_transaction("monitor tomcat", LR_AUTO); // 写入Tomcat JVM 度量数据 lr_user_data_point("Tomcat JVM Free memory", atof(lr_eval_string("{JVMFreeMemory}"))); lr_user_data_point("Tomcat JVM Total memory", atof(lr_eval_string("{JVMTotalMemory}"))); lr_user_data_point("Tomcat JVM Max memory", atof(lr_eval_string("{JVMMaxMemory}"))); // 写入Tomcat web server 度量数据 lr_user_data_point("Tomcat HTTP Max threads", atof(lr_eval_string("{HTTPMaxThreads}"))); lr_user_data_point("Tomcat HTTP Min spare threads", atof(lr_eval_string("{HTTPMinSpareThreads}"))); lr_user_data_point("Tomcat HTTP Max spare threads", atof(lr_eval_string("{HTTPMaxSpareThreads}"))); lr_user_data_point("Tomcat HTTP Current spare threads", atof(lr_eval_string("{HTTPCurrentSpareThreads}"))); lr_user_data_point("Tomcat HTTP Current thread busy", atof(lr_eval_string("{HTTPCurrentThreadBusy}"))); lr_user_data_point("Tomcat HTTP Max processing time", atof(lr_eval_string("{HTTPMaxProcessingTime}"))); lr_user_data_point("Tomcat HTTP Request count", atof(lr_eval_string("{HTTPRequestCount}"))); lr_user_data_point("Tomcat HTTP Error count", atof(lr_eval_string("{HTTPErrorCount}"))); lr_user_data_point("Tomcat HTTP Bytes received", atof(lr_eval_string("{HTTPBytesReceived}"))); lr_user_data_point("Tomcat HTTP Bytes sent", atof(lr_eval_string("{HTTPBytesSent}"))); // 写入Tomcat servlet container 度量数据 lr_user_data_point("Tomcat JK Max threads", atof(lr_eval_string("{JKMaxThreads}"))); lr_user_data_point("Tomcat JK Min spare threads", atof(lr_eval_string("{JKMinSpareThreads}"))); lr_user_data_point("Tomcat JK Max spare threads", atof(lr_eval_string("{JKMaxSpareThreads}"))); lr_user_data_point("Tomcat JK Current spare threads", atof(lr_eval_string("{JKCurrentSpareThreads}"))); lr_user_data_point("Tomcat JK Current thread busy", atof(lr_eval_string("{JKCurrentThreadBusy}"))); lr_user_data_point("Tomcat JK Max processing time", atof(lr_eval_string("{JKMaxProcessingTime}"))); lr_user_data_point("Tomcat JK Request count", atof(lr_eval_string("{JKRequestCount}"))); lr_user_data_point("Tomcat JK Error count", atof(lr_eval_string("{JKErrorCount}"))); lr_user_data_point("Tomcat JK Bytes received", atof(lr_eval_string("{JKBytesReceived}"))); lr_user_data_point("Tomcat JK Bytes sent", atof(lr_eval_string("{JKBytesSent}"))); return 0; }
2）然后在Run-time中设定数据收集的间隔：
3）最后在Controller中设置脚本运行，这样场景运行完毕后，即可在Analysis中添加“User Defined Data Points”查看收集到的Tomcat性能数据：
这种收集数据的弊端是需要通过网络请求Tomcat的页面，会对Tomcat服务器的性能造成一定的影响，如果Tomcat出现性能瓶颈，则收集数据时也可能碰到连接错误，因此，最好把收集数据点的间隔设大一点，例如5秒~10秒收集一个数据点。或尽量不采用LR监控。
标签：mit art 场景 文件 value 步骤 根据 status param
原文地址：https://www.cnblogs.com/yezhaohui/p/10125572.html
