性能测试从入门到精通-LoadRunner实战（下）

糖果店的幽灵2026-06-18 17:56

第5章 场景设计实战

5.1 手动场景

🎭 比喻：手动挡汽车

手动场景就像开手动挡汽车------你完全控制油门和档位，想加速就加速，想减速就减速。
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分批启动
自定义
创建手动场景
添加脚本
配置VUser数量
设置调度策略
选择调度模式
所有VUser同时开始
按计划逐步增加VUser
完全自定义每个阶段的VUser数
配置运行时长
设置停止策略
完成场景设计

📊 手动场景配置示例

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阶段3：冷却期（15-20分钟）
阶段2：高峰期（5-15分钟）
阶段1：预热期（0-5分钟）
15-18分钟：500→50 VUser

每分钟减少150个
0-2分钟：10→50 VUser

每分钟增加20个
2-5分钟：保持50 VUser
5-8分钟：50→500 VUser

每分钟增加150个
8-15分钟：保持500 VUser

🔥 峰值压力
18-20分钟：保持50 VUser

📝 场景设计步骤

c 复制代码 
/*
 * ============================================
 * 场景设计步骤说明
 * ============================================
 *
 * 步骤1：打开 Controller → File → New Scenario
 * 步骤2：选择 "Manual Scenario"
 * 步骤3：添加脚本（浏览、下单、支付等）
 * 步骤4：为每个脚本设置 VUser 数量
 *        - 浏览脚本：200 VUser
 *        - 下单脚本：100 VUser
 *        - 支付脚本：50 VUser
 * 步骤5：设置 Load Generator
 *        - 本地机器：150 VUser
 *        - Generator-PC1：200 VUser
 * 步骤7：配置 Schedule
 *        - 预热期：5分钟
 *        - 高峰期：10分钟
 *        - 冷却期：5分钟
 * 步骤8：添加监控器
 *        - Windows Resources
 *        - IIS/WebLogic 监控
 *        - 数据库监控
 * 步骤9：保存场景
 * 步骤10：点击 Start Scenario 开始测试
 */

5.2 目标导向场景

🎭 比喻：自动驾驶

目标导向场景就像自动驾驶------你告诉它"我要在 3 秒内到达"（设定性能目标），它会自动调整 VUser 数量来找到满足目标的配置。
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吞吐量
并发数
VUser数
创建目标导向场景
选择目标类型
设定：事务响应时间

不超过3秒
设定：每秒处理

100个事务
设定：同时在线

500个用户
设定：最多

1000个VUser
配置目标详情
设置行为参数

最小/最大VUser数
开始测试
LoadRunner自动调优
输出结果

📊 目标类型详解

目标类型 说明 典型场景
响应时间 确保事务在指定时间内完成 银行转账必须在3秒内完成
每秒点击数 确保系统每秒能处理指定点击数 首页每秒处理50次点击
每秒事务数 确保系统每秒能处理指定事务数 支付系统每秒处理100笔交易
并发VUser数 测试指定数量VUser下的性能 模拟500人同时在线
页面吞吐量 确保每秒能传输指定数据量 视频网站每秒传输1GB

5.3 百分比模式

🎭 比喻：分配舞台时间

百分比模式就像给不同的演员分配舞台时间------比如主角占 60% 的戏份，配角占 30%，群演占 10%。
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📝 百分比模式配置

复制代码 
场景名称：电商日常负载

脚本1：browse_product（浏览商品）
  - 百分比：60%
  - VUser 数量：由总VUser数按比例分配

脚本2：search_product（搜索商品）
  - 百分比：20%
  - VUser 数量：由总VUser数按比例分配

脚本3：place_order（下单支付）
  - 百分比：15%
  - VUser 数量：由总VUser数按比例分配

脚本4：customer_service（客服咨询）
  - 百分比：5%
  - VUser 数量：由总VUser数按比例分配

总 VUser 数：1000
  → browse_product: 600 VUser
  → search_product: 200 VUser
  → place_order: 150 VUser
  → customer_service: 50 VUser

第6章 完整Demo：银行转账系统性能测试

6.1 项目背景

🏦 银行转账系统介绍

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数据层
应用层
接入层
用户层
主数据库

MySQL
Web浏览器
负载均衡器

Nginx
手机APP
ATM机
API网关
转账服务1
转账服务2
账户服务
风控服务
Redis缓存
消息队列

RabbitMQ
从数据库

MySQL

📋 性能测试需求

指标 目标值 说明
并发用户数 1000 同时在线用户
转账响应时间 < 3秒（95%） 95%的请求在3秒内完成
查询响应时间 < 1秒（95%） 95%的查询在1秒内完成
TPS >= 500 每秒处理事务数
错误率 < 0.1% 错误请求占比
系统可用性 99.9% 测试期间系统不能宕机

6.2 测试计划

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.milestone{transform:rotate(45deg) scale(0.8,0.8);}#mermaid-svg-LcYm7Vt01s0zh88t .milestoneText{font-style:italic;}#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText0,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText1,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText2,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText3{fill:black!important;}#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText0.taskTextOutsideLeft,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText0.taskTextOutsideRight,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText1.taskTextOutsideLeft,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText1.taskTextOutsideRight,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText2.taskTextOutsideLeft,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText2.taskTextOutsideRight,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText3.taskTextOutsideLeft,#mermaid-svg-LcYm7Vt01s0zh88t .doneCritText3.taskTextOutsideRight{fill:black!important;}#mermaid-svg-LcYm7Vt01s0zh88t .vert{stroke:navy;}#mermaid-svg-LcYm7Vt01s0zh88t .vertText{font-size:15px;text-anchor:middle;fill:navy!important;}#mermaid-svg-LcYm7Vt01s0zh88t .activeCritText0,#mermaid-svg-LcYm7Vt01s0zh88t .activeCritText1,#mermaid-svg-LcYm7Vt01s0zh88t .activeCritText2,#mermaid-svg-LcYm7Vt01s0zh88t .activeCritText3{fill:black!important;}#mermaid-svg-LcYm7Vt01s0zh88t .titleText{text-anchor:middle;font-size:18px;fill:#333;font-family:"trebuchet ms",verdana,arial,sans-serif;}#mermaid-svg-LcYm7Vt01s0zh88t :root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} 2024-01-07 2024-01-14 2024-01-21 2024-01-28 2024-02-04 环境搭建 测试数据准备 录制转账脚本 脚本增强(参数化等) 脚本调试 设计测试场景 配置监控 基准测试 负载测试 压力测试 稳定性测试 数据分析 报告编写 问题跟踪 准备阶段脚本开发场景设计执行测试分析报告 银行转账系统性能测试计划

6.3 脚本开发

📝 完整银行转账脚本

c 复制代码 
/*
 * ============================================
 * 银行转账系统 - 完整性能测试脚本
 * 协议：Web (HTTP/HTML)
 * 版本：1.0
 * ============================================
 */

// ========== 全局变量 ==========
int retryCount = 0;
int maxRetry = 3;


// ========== vuser_init：初始化与登录 ==========
vuser_init()
{
    int rc;

    // 设置超时时间
    web_set_timeout("CONNECT", "60");
    web_set_timeout("RECEIVE", "120");

    // 生成随机数据
    srand(time(NULL));

    // 访问银行首页
    web_url("bank_home",
        "URL=http://bank.example.com/",
        "TargetFrame=",
        "Resource=0",
        "RecContentType=text/html",
        LAST);

    // 登录
    lr_start_transaction("bank_login");

    // 关联 CSRF Token
    web_reg_save_param("csrfToken",
        "LB=name=\"_csrf\" value=\"",
        "RB=\"",
        "Search=Body",
        LAST);

    // 关联 sessionID
    web_reg_save_param("sessionId",
        "LB=JSESSIONID=",
        "RB=;",
        "Search=Headers",
        LAST);

    web_submit_data("login_submit",
        "Action=http://bank.example.com/api/auth/login",
        "Method=POST",
        "RecContentType=application/json",
        "Referer=http://bank.example.com/login",
        ITEMDATA,
        "Name=username", "Value={username}", ENDITEM,
        "Name=password", "Value={password}", ENDITEM,
        "Name=_csrf", "Value={csrfToken}", ENDITEM,
        "Name=deviceType", "Value=WEB", ENDITEM,
        LAST);

    // 验证登录结果
    web_reg_save_param_json("loginCode",
        "QueryString=$.code",
        "Scope=Body",
        LAST);

    web_reg_save_param_json("loginMsg",
        "QueryString=$.message",
        "Scope=Body",
        LAST);

    if (atoi(lr_eval_string("{loginCode}")) == 0) {
        lr_output_message("登录成功: %s", lr_eval_string("{loginMsg}"));
        lr_end_transaction("bank_login", LR_PASS);
    } else {
        lr_error_message("登录失败: %s", lr_eval_string("{loginMsg}"));
        lr_end_transaction("bank_login", LR_FAIL);
        return -1;  // 登录失败，终止VUser
    }

    return 0;
}


// ========== Action：主要业务操作 ==========
Action()
{
    // ==========================================
    // 步骤1：查询账户余额
    // ==========================================
    lr_start_transaction("bank_query_balance");

    web_reg_save_param_json("balance",
        "QueryString=$.data.balance",
        "Scope=Body",
        LAST);

    web_reg_save_param_json("accountName",
        "QueryString=$.data.accountName",
        "Scope=Body",
        LAST);

    web_custom_request("queryBalance",
        "URL=http://bank.example.com/api/account/{accountId}/balance",
        "Method=GET",
        "Resource=0",
        "RecContentType=application/json",
        "Mode=HTML",
        "EncType=application/json",
        LAST);

    lr_output_message("账户: %s, 余额: %s",
        lr_eval_string("{accountName}"),
        lr_eval_string("{balance}"));

    lr_end_transaction("bank_query_balance", LR_AUTO);

    lr_think_time(2);  // 用户查看余额，思考2秒


    // ==========================================
    // 步骤2：查询转账记录
    // ==========================================
    lr_start_transaction("bank_query_history");

    web_custom_request("queryHistory",
        "URL=http://bank.example.com/api/transfer/history?accountId={accountId}&page=1&size=10",
        "Method=GET",
        "Resource=0",
        "RecContentType=application/json",
        "Mode=HTML",
        LAST);

    lr_end_transaction("bank_query_history", LR_AUTO);

    lr_think_time(3);  // 用户查看记录，思考3秒


    // ==========================================
    // 步骤3：执行转账（核心业务）
    // ==========================================
    lr_start_transaction("bank_do_transfer");

    // 集合点：模拟集中转账高峰
    lr_rendezvous("transfer_peak");

    // 构造转账请求
    char transferBody[2048];
    sprintf(transferBody,
        "{"
        "\"fromAccount\":\"%s\","
        "\"toAccount\":\"%s\","
        "\"amount\":%s,"
        "\"currency\":\"CNY\","
        "\"remark\":\"%s\","
        "\"payPassword\":\"%s\""
        "}",
        lr_eval_string("{fromAccount}"),
        lr_eval_string("{toAccount}"),
        lr_eval_string("{amount}"),
        lr_eval_string("{remark}"),
        lr_eval_string("{payPassword}")
    );

    // 关联转账结果
    web_reg_save_param_json("transferCode",
        "QueryString=$.code",
        "Scope=Body",
        LAST);

    web_reg_save_param_json("transferMsg",
        "QueryString=$.message",
        "Scope=Body",
        LAST);

    web_reg_save_param_json("transferId",
        "QueryString=$.data.transferId",
        "Scope=Body",
        LAST);

    // 重试机制
    retryCount = 0;
    do {
        web_custom_request("doTransfer",
            "URL=http://bank.example.com/api/transfer/execute",
            "Method=POST",
            "Resource=0",
            "RecContentType=application/json",
            "Mode=HTML",
            "Body={transferBody}",
            LAST);

        retryCount++;

        if (atoi(lr_eval_string("{transferCode}")) == 0) {
            break;  // 成功则退出重试
        }

        if (retryCount < maxRetry) {
            lr_output_message("转账失败，第 %d 次重试...", retryCount);
            lr_think_time(2);  // 等待2秒后重试
        }
    } while (retryCount < maxRetry);

    // 判断最终结果
    if (atoi(lr_eval_string("{transferCode}")) == 0) {
        lr_output_message("转账成功！流水号: %s",
            lr_eval_string("{transferId}"));
        lr_end_transaction("bank_do_transfer", LR_PASS);
    } else {
        lr_error_message("转账失败（重试%d次）: %s",
            retryCount, lr_eval_string("{transferMsg}"));
        lr_end_transaction("bank_do_transfer", LR_FAIL);
    }

    lr_think_time(5);  // 用户确认转账结果，思考5秒


    // ==========================================
    // 步骤4：查询转账详情
    // ==========================================
    lr_start_transaction("bank_query_transfer_detail");

    web_custom_request("queryTransferDetail",
        "URL=http://bank.example.com/api/transfer/{transferId}/detail",
        "Method=GET",
        "Resource=0",
        "RecContentType=application/json",
        "Mode=HTML",
        LAST);

    lr_end_transaction("bank_query_transfer_detail", LR_AUTO);

    lr_think_time(2);

    return 0;
}


// ========== vuser_end：登出与清理 ==========
vuser_end()
{
    lr_start_transaction("bank_logout");

    web_custom_request("logout",
        "URL=http://bank.example.com/api/auth/logout",
        "Method=POST",
        "Resource=0",
        "RecContentType=application/json",
        "Mode=HTML",
        LAST);

    lr_end_transaction("bank_logout", LR_AUTO);

    return 0;
}

📊 参数文件配置

username.dat（用户名参数文件）：

复制代码 
username
user001
user002
user003
...
user999
user1000

password.dat（密码参数文件）：

复制代码 
password
pass001
pass002
pass003
...
pass999
pass1000

fromAccount.dat（转出账户）：

复制代码 
fromAccount
6222000000001001
6222000000001002
6222000000001003
...
6222000000010000

toAccount.dat（转入账户）：

复制代码 
toAccount
6222000000020001
6222000000020002
6222000000020003
...
6222000000029999

amount.dat（转账金额）：

复制代码 
amount
100.00
500.00
1000.00
5000.00
10000.00
50000.00
100000.00

6.4 场景执行

📋 测试场景设计

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场景4：稳定性测试
800 VUser

运行24小时

目的：验证长时间稳定性
场景3：压力测试
1000→2000 VUser

持续加压直到崩溃

目的：找到系统极限
场景2：负载测试
100→1000 VUser

分5批增加

目的：验证目标指标
场景1：基准测试
100 VUser

运行30分钟

目的：建立性能基线

📊 负载测试执行计划

渲染错误: Mermaid 渲染失败: Invalid date:00:00

6.5 结果分析

📊 假设测试结果

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转账响应时间

─────────

目标: < 3秒 (95%)

实际: 2.1秒 (95%)

✅ 达标
查询响应时间

─────────

目标: < 1秒 (95%)

实际: 0.6秒 (95%)

✅ 达标
TPS

─────────

目标: >= 500

实际: 620

✅ 达标
错误率

─────────

目标: < 0.1%

实际: 0.05%

✅ 达标
CPU使用率

─────────

目标: < 80%

实际: 75%

⚠️ 接近上限

🔍 瓶颈分析示例

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响应时间突增
是
否
是
否
分析开始
查看响应时间图
发现异常？
定位问题事务

bank_do_transfer
查看服务器资源图
发现CPU飙升？
分析CPU热点
发现：转账服务

加密计算消耗大量CPU
💡 建议：优化加密算法

或增加应用服务器
查看数据库监控
发现慢查询？
分析慢查询日志
发现：转账流水表

缺少索引
💡 建议：添加复合索引

优化SQL语句
检查网络
💡 建议：检查网络带宽

和连接池配置

📝 测试报告摘要

markdown 复制代码 
## 银行转账系统性能测试报告

### 测试结论：✅ 基本达标，有优化空间

| 测试项 | 目标 | 实际结果 | 状态 |
|--------|------|---------|------|
| 并发用户 | 1000 | 1000 | ✅ |
| 转账响应时间(95%) | < 3s | 2.1s | ✅ |
| 查询响应时间(95%) | < 1s | 0.6s | ✅ |
| TPS | >= 500 | 620 | ✅ |
| 错误率 | < 0.1% | 0.05% | ✅ |
| CPU使用率 | < 80% | 75% | ⚠️ |

### 发现的问题
1. 800 VUser 时 CPU 接近 80%，建议增加应用服务器
2. 转账流水表缺少索引，建议添加复合索引
3. Redis 缓存命中率仅 60%，建议优化缓存策略

### 优化建议
1. 增加 2 台应用服务器（水平扩展）
2. 为 transfer_record 表添加 (from_account, create_time) 复合索引
3. 调整 Redis 缓存过期策略，提高命中率到 90%+

第7章 常见问题与解决方案

7.1 脚本相关问题

🐛 问题1：录制不到请求

症状：点击录制后操作网页，VuGen 中没有任何请求记录

可能原因与解决方案：
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使用IE
使用APP
否
否
否
录制不到请求
检查浏览器设置
确认安装了

VuGen浏览器扩展
确认IE版本兼容

建议用IE11
确认选择了

正确的协议

如Mobile HTTP
问题解决？
检查代理设置

端口是否被占用
问题解决？
尝试使用

Winsock录制模式
问题解决？
联系技术支持

🐛 问题2：回放失败

症状：脚本录制成功，但回放时所有事务都失败

常见原因：

原因 现象 解决方案
关联缺失 服务器返回"会话过期" 添加关联，提取动态 Session ID
时间戳问题 请求被拒绝 参数化时间戳
SSL证书 SSL 错误 配置 SSL 设置，忽略证书验证
编码问题 中文乱码 设置正确的字符编码
思考时间 超时 调整超时时间设置

🐛 问题3：参数化不生效

症状：所有 VUser 仍然使用同一个值

解决方案：

c 复制代码 
// ❌ 错误：直接使用字符串
web_submit_data("login",
    ITEMDATA,
    "Name=username", "Value=zhangsan", ENDITEM,  // 写死了
    LAST);

// ✅ 正确：使用参数
web_submit_data("login",
    ITEMDATA,
    "Name=username", "Value={username}", ENDITEM,  // 使用花括号
    LAST);

// ✅ 如果需要用 C 变量，需要先 lr_save_string
char user[50] = "zhangsan";
lr_save_string(user, "username");
// 然后才能用 {username}

7.2 执行相关问题

🐛 问题4：VUser 无法启动

症状：Controller 中 VUser 状态显示 "Failed"

排查步骤：
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License正常
连接失败
连接正常
编译错误
编译正常
内存不足
资源正常
VUser启动失败
检查License
购买更多License

或减少VUser数
检查Load Generator
检查网络连接

防火墙设置
检查脚本
在VuGen中

重新编译脚本
检查系统资源
增加Load Generator

或减少VUser数
查看详细错误日志

lr_output_log

🐛 问题5：测试过程中响应时间突然变长

症状：测试前半段一切正常，后半段响应时间突然飙升

分析思路：
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并发数正常
CPU/内存飙升
资源正常
连接池满了
有慢查询
数据库正常
带宽打满
网络正常
响应时间突然变长
检查并发数
这是正常现象

找到了系统瓶颈
检查服务器资源
服务器资源瓶颈

需要优化或扩容
检查数据库
增加数据库连接池大小
优化SQL语句

添加索引
检查网络
增加网络带宽
检查应用是否有

内存泄漏

7.3 分析相关问题

🐛 问题6：图表数据为空

症状：Analysis 中打开图表，没有数据显示

解决方案：

  1. 确认测试确实执行了（检查 Controller 日志）
  2. 确认场景执行时间超过 5 秒（太短可能没有数据）
  3. 确认 .lrr 结果文件没有损坏
  4. 尝试重新打开结果文件
  5. 检查过滤器设置是否过滤掉了所有数据

🐛 问题7：如何判断系统瓶颈

性能分析决策树：
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是
是
否
是
否
CPU
内存
磁盘
网络
都正常
开始性能分析
查看 VUser 图
VUser 是否达到目标数？
License不足或

Load Generator不够
查看响应时间图
响应时间是否达标？
✅ 性能合格！
查看吞吐量图
吞吐量是否随VUser

线性增长？
瓶颈在服务器

继续分析
吞吐量达到天花板

找到系统极限
查看服务器资源图
哪个资源最高？
🔴 CPU瓶颈
🔴 内存瓶颈
🔴 I/O瓶颈
🔴 网络瓶颈
🔴 应用代码瓶颈

第8章 LoadRunner 与 CI/CD 集成

8.1 为什么需要 CI/CD 集成？

🎭 比喻：自动化流水线

手动性能测试就像手工打磨产品 ------每次都要人工操作，费时费力。CI/CD 集成就像建立自动化流水线------代码一提交，自动运行性能测试，发现问题自动报警。
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开发提交代码
自动触发流水线
自动部署测试环境
自动运行LoadRunner
自动分析结果
自动生成报告
自动通知团队
没有CI/CD集成
开发提交代码
手动部署测试环境
手动运行LoadRunner
手动分析结果
手动写报告
手动通知团队

8.2 集成架构

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报告阶段
测试阶段
构建阶段
代码阶段
生成测试报告
开发提交代码

Git Push
CI Server

Jenkins/GitLab CI
自动构建

编译打包
自动部署

到测试环境
功能测试

自动化测试
性能测试

LoadRunner
安全测试

安全扫描
通知团队

Slack/邮件

8.3 使用命令行执行 LoadRunner

LoadRunner 提供了命令行工具，可以在 CI/CD 中调用：

📝 Controller 命令行执行

bash 复制代码 
# ========== Windows 命令行执行场景 ==========

# 基本语法
"C:\Program Files\OpenText\LoadRunner\bin\wlrun.exe" ^
    -TestPath "C:\LR_Scenes\bank_transfer.lrs" ^
    -Run

# 带超时的执行
"C:\Program Files\OpenText\LoadRunner\bin\wlrun.exe" ^
    -TestPath "C:\LR_Scenes\bank_transfer.lrs" ^
    -Run ^
    -Timeout 3600

# 指定结果保存路径
"C:\Program Files\OpenText\LoadRunner\bin\wlrun.exe" ^
    -TestPath "C:\LR_Scenes\bank_transfer.lrs" ^
    -Run ^
    -ResultLocation "C:\LR_Results\run_20240115"

📝 VuGen 命令行执行

bash 复制代码 
# ========== VuGen 命令行回放脚本 ==========

# 基本语法
"C:\Program Files\OpenText\LoadRunner\bin\mdrv.exe" ^
    -usr "C:\LR_Scripts\bank_transfer.usr" ^
    -out "C:\LR_Results\bank_transfer"

# 带迭代次数
"C:\Program Files\OpenText\LoadRunner\bin\mdrv.exe" ^
    -usr "C:\LR_Scripts\bank_transfer.usr" ^
    -out "C:\LR_Results\bank_transfer" ^
    -Iter 5

# 带参数文件
"C:\Program Files\OpenText\LoadRunner\bin\mdrv.exe" ^
    -usr "C:\LR_Scripts\bank_transfer.usr" ^
    -out "C:\LR_Results\bank_transfer" ^
    -paramfile "C:\LR_Data\bank_params.dat"

📝 Analysis 命令行生成报告

bash 复制代码 
# ========== Analysis 命令行分析结果 ==========

# 生成 HTML 报告
"C:\Program Files\OpenText\LoadRunner\bin\analysis.exe" ^
    -template "C:\LR_Templates\summary_report.tpl" ^
    -input "C:\LR_Results\bank_transfer\bank_transfer.lrr" ^
    -output "C:\LR_Reports\bank_transfer_report.html"

8.4 Jenkins Pipeline 集成示例

groovy 复制代码 
/*
 * ============================================
 * Jenkins Pipeline - LoadRunner 性能测试
 * ============================================
 */

pipeline {
    agent {
        label 'lr-controller'  // 指定运行在 LoadRunner Controller 机器上
    }

    triggers {
        // 每天晚上10点自动执行
        cron('0 22 * * *')
        // 也可以在代码合并到 main 分支时触发
        // GenericWebhook cause: branch == 'main'
    }

    environment {
        LR_HOME = 'C:\\Program Files\\OpenText\\LoadRunner'
        SCENE_PATH = 'C:\\LR_Scenes\\bank_transfer.lrs'
        RESULT_DIR = "C:\\LR_Results\\run_${BUILD_NUMBER}"
        REPORT_DIR = "C:\\LR_Reports\\run_${BUILD_NUMBER}"
    }

    stages {
        // ========== 阶段1：环境准备 ==========
        stage('环境准备') {
            steps {
                echo '开始准备测试环境...'
                // 检查测试环境是否可用
                bat '''
                    curl -s -o nul -w "%%{http_code}" http://bank-test.example.com/health
                '''
                // 清理上次的测试数据
                bat '''
                    if exist "%RESULT_DIR%" rmdir /s /q "%RESULT_DIR%"
                    mkdir "%RESULT_DIR%"
                '''
            }
        }

        // ========== 阶段2：执行性能测试 ==========
        stage('执行性能测试') {
            steps {
                echo '开始执行 LoadRunner 性能测试...'
                bat """
                    "%LR_HOME%\\bin\\wlrun.exe" ^
                        -TestPath "%SCENE_PATH%" ^
                        -Run ^
                        -ResultLocation "%RESULT_DIR%"
                """
            }
        }

        // ========== 阶段3：分析结果 ==========
        stage('分析结果') {
            steps {
                echo '开始分析测试结果...'
                // 使用 Analysis 生成报告
                bat """
                    "%LR_HOME%\\bin\\analysis.exe" ^
                        -input "%RESULT_DIR%\\bank_transfer.lrr" ^
                        -output "%REPORT_DIR%\\report.html"
                """
                // 解析结果，判断是否达标
                script {
                    // 读取关键指标
                    def responseTime = parseLrResult("${RESULT_DIR}")
                    def passed = responseTime <= 3000  // 3秒阈值

                    if (passed) {
                        currentBuild.result = 'SUCCESS'
                    } else {
                        currentBuild.result = 'UNSTABLE'
                    }
                }
            }
        }

        // ========== 阶段4：发送通知 ==========
        stage('发送通知') {
            steps {
                echo '发送测试报告通知...'
                // 发送邮件通知
                mail to: 'qa-team@example.com',
                    subject: "性能测试报告 #${BUILD_NUMBER} - ${currentBuild.result}",
                    body: """性能测试已完成！
                    构建号: ${BUILD_NUMBER}
                    状态: ${currentBuild.result}
                    报告: ${REPORT_DIR}\\report.html
                    """
            }
        }
    }

    post {
        always {
            // 归档测试结果
            archiveArtifacts artifacts: "${REPORT_DIR}/**/*", allowEmptyArchive: true
            // 在 Jenkins 页面展示报告
            publishHTML target: [
                reportDir: "${REPORT_DIR}",
                reportFiles: 'report.html',
                reportName: 'LoadRunner 性能测试报告',
                keepAll: true
            ]
        }
    }
}

8.5 LoadRunner Enterprise 与 DevOps 集成

🏗️ LoadRunner Enterprise 架构

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LoadRunner Enterprise (SaaS/On-Premise)
存储
引擎
Web 界面
LoadRunner Enterprise

Web 门户
负载引擎 1

云端/本地
负载引擎 2

云端/本地
负载引擎 N

云端/本地
结果数据库
脚本仓库
Git/GitHub
Jenkins
Slack
Jira

📝 REST API 集成

bash 复制代码 
# ========== LoadRunner Enterprise REST API ==========

# 1. 认证获取 Token
curl -X POST "https://lr-enterprise.example.com/rest/v1/auth/login" \
  -H "Content-Type: application/json" \
  -d '{"username":"admin","password":"password"}'

# 2. 上传脚本
curl -X POST "https://lr-enterprise.example.com/rest/v1/scripts" \
  -H "Authorization: Bearer {token}" \
  -F "file=@bank_transfer.zip"

# 3. 创建测试
curl -X POST "https://lr-enterprise.example.com/rest/v1/tests" \
  -H "Authorization: Bearer {token}" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Bank Transfer Performance Test",
    "scriptId": 123,
    "vusers": 1000,
    "duration": 1800,
    "rampUp": 300
  }'

# 4. 执行测试
curl -X POST "https://lr-enterprise.example.com/rest/v1/tests/123/runs" \
  -H "Authorization: Bearer {token}"

# 5. 获取测试结果
curl -X GET "https://lr-enterprise.example.com/rest/v1/tests/123/runs/456/results" \
  -H "Authorization: Bearer {token}"

8.6 最佳实践

✅ CI/CD 集成最佳实践

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path,#mermaid-svg-AynpNIJkE3ac72ns .section-root circle,#mermaid-svg-AynpNIJkE3ac72ns .section-root polygon{fill:hsl(240, 100%, 46.2745098039%);}#mermaid-svg-AynpNIJkE3ac72ns .section-root text{fill:#ffffff;}#mermaid-svg-AynpNIJkE3ac72ns .section-root span{color:#ffffff;}#mermaid-svg-AynpNIJkE3ac72ns .section-2 span{color:#ffffff;}#mermaid-svg-AynpNIJkE3ac72ns .icon-container{height:100%;display:flex;justify-content:center;align-items:center;}#mermaid-svg-AynpNIJkE3ac72ns .edge{fill:none;}#mermaid-svg-AynpNIJkE3ac72ns .mindmap-node-label{dy:1em;alignment-baseline:middle;text-anchor:middle;dominant-baseline:middle;text-align:center;}#mermaid-svg-AynpNIJkE3ac72ns :root{--mermaid-font-family:"trebuchet ms",verdana,arial,sans-serif;} CI/CD集成

最佳实践
脚本管理
脚本纳入版本控制Git
使用参数化适应不同环境
定期维护和更新脚本
执行策略
代码合并后自动触发
设置合理的超时时间
失败自动重试一次
结果管理
自动生成HTML报告
关键指标设阈值
历史结果趋势对比
通知机制
测试完成自动通知
性能退化立即报警
定期发送性能摘要
资源管理
测试环境隔离
测试数据自动准备/清理
License资源池化管理

📋 性能门禁（Performance Gates）

c 复制代码 
/*
 * ============================================
 * 性能门禁设置示例
 * 在 Jenkins Pipeline 中设置性能阈值
 * ============================================
 *
 * 门禁规则：
 * 1. 平均响应时间 < 3秒
 * 2. 95%响应时间 < 5秒
 * 3. 错误率 < 0.1%
 * 4. TPS >= 500
 * 5. CPU使用率 < 80%
 *
 * 任一规则不满足 → 构建标记为 UNSTABLE
 * 超过2条规则不满足 → 构建标记为 FAILURE
 */

// Jenkins Pipeline 中的性能门禁示例
def checkPerformanceGate(results) {
    int violations = 0

    if (results.avgResponseTime > 3000) {
        echo "❌ 违规：平均响应时间 ${results.avgResponseTime}ms > 3000ms"
        violations++
    }

    if (results.p95ResponseTime > 5000) {
        echo "❌ 违规：95%响应时间 ${results.p95ResponseTime}ms > 5000ms"
        violations++
    }

    if (results.errorRate > 0.001) {
        echo "❌ 违规：错误率 ${results.errorRate} > 0.1%"
        violations++
    }

    if (results.tps < 500) {
        echo "❌ 违规：TPS ${results.tps} < 500"
        violations++
    }

    if (violations >= 2) {
        currentBuild.result = 'FAILURE'
        echo "🔴 性能门禁失败！${violations} 条规则违反"
    } else if (violations > 0) {
        currentBuild.result = 'UNSTABLE'
        echo "⚠️ 性能门禁警告！${violations} 条规则违反"
    } else {
        echo "✅ 性能门禁通过！所有指标达标"
    }
}

📚 附录

A. LoadRunner 快捷键

快捷键 功能
Ctrl+Alt+R 开始录制
Ctrl+Alt+S 停止录制
F5 回放脚本
Ctrl+F5 编译脚本
Ctrl+Shift+L 参数化选中值
Ctrl+Shift+C 添加注释
Ctrl+M 添加事务
Ctrl+B 添加集合点

B. 常用 LoadRunner 函数速查

函数 说明 示例
lr_start_transaction 开始事务 lr_start_transaction("login")
lr_end_transaction 结束事务 lr_end_transaction("login", LR_AUTO)
lr_think_time 思考时间 lr_think_time(3)
lr_output_message 输出日志 lr_output_message("test")
lr_save_string 保存字符串到参数 lr_save_string("value", "param")
lr_eval_string 获取参数值 lr_eval_string("{param}")
lr_random 随机数 lr_random(1, 100)
lr_rendezvous 集合点 lr_rendezvous("peak")
web_reg_save_param 关联（文本） 见关联章节
web_reg_save_param_json 关联（JSON） 见关联章节
web_reg_find 文本检查点 web_reg_find("Text=success")
web_url GET 请求 见脚本示例
web_submit_data POST 表单 见脚本示例
web_custom_request 自定义请求 见脚本示例

C. 性能测试术语表

术语 英文 解释
并发用户数 Concurrent Users 同时向系统发送请求的用户数
响应时间 Response Time 从发送请求到收到响应的时间
吞吐量 Throughput 单位时间内系统处理的请求数
TPS Transactions Per Second 每秒处理的事务数
90%线 90th Percentile 90%的请求在此时间内完成
P95 95th Percentile 95%的请求在此时间内完成
基准测试 Baseline Test 建立性能基准的测试
负载测试 Load Test 模拟预期负载的测试
压力测试 Stress Test 超出预期负载的测试
稳定性测试 Endurance Test 长时间运行的测试
容量测试 Capacity Test 找到系统最大容量的测试
瓶颈 Bottleneck 限制系统性能的薄弱环节

记住：工具只是手段，理解性能测试的思路和方法才是核心！

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