设计逼真的工作负载
设计复杂的工作负载模型，准确反映多样化的用户行为和业务流程
设计逼真的工作负载 是 CoddyKit 上的免费 Load Testing & Performance Benchmarking (JMeter & k6) 课时。 这是第 1 节课，共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Load Testing & Performance Benchmarking (JMeter & k6) 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 Load Testing & Performance Benchmarking (JMeter & k6) 课程共包含 4 节课。
本课时的部分内容尚未翻译，以英文显示。
The Art of Realistic Workloads
Welcome to "Crafting Realistic Workloads"! In performance testing, a workload model defines how virtual users interact with your system during a test.
It's crucial because a realistic model ensures your test results accurately predict how your system will perform under real-world conditions, helping you find actual bottlenecks.
Defining Your Virtual Users
Start by identifying your user personas. Who uses your application? (e.g., guest, registered user, administrator). Each persona might have different behaviors.
Then, map out their typical business processes or "user journeys." What steps do they take? (e.g., "Guest browses products," "Registered user adds to cart and checks out").
Balancing Actions and Operations
A transaction mix describes the proportion of different actions users perform. For example, 70% of users might browse, 20% search, and only 10% make a purchase.
This mix should reflect real-world usage patterns, often derived from analytics data or business requirements, to accurately simulate system load.
The Importance of Think Time
Think time (or pacing) is the pause a real user takes between actions. Without it, virtual users send requests as fast as possible, which is unrealistic and can overwhelm the system.
Adding realistic delays simulates human interaction, making your load test more accurate and preventing premature bottlenecks.
Shaping Your Load Profile
A load test typically has three phases: ramp-up, steady-state, and ramp-down.
- Ramp-up: Gradually increases the number of virtual users.
- Steady-state: Maintains a constant peak load for a duration.
- Ramp-down: Gradually decreases the number of virtual users.
These phases simulate how user load changes over time in the real world.
Dynamic Data for Unique Users
For a truly realistic workload, each virtual user should use unique, varied data. This prevents caching effects from skewing results and simulates diverse user inputs.
Instead of logging in with "user1" repeatedly, simulate multiple users like "user1", "user2", "user3", each with their own unique data set for actions.
Sourcing Real-World Insights
Where do you find the data to build your workload model?
- Web Analytics: Tools like Google Analytics provide user behavior patterns.
- Server Logs: Access logs reveal request frequencies and popular endpoints.
- Business Intelligence: Reports on sales, user activity, etc.
- Product Owners/Managers: Direct insights into expected user journeys and peak usage.
JMeter: Throughput Controller
In JMeter, the Throughput Controller is excellent for defining a transaction mix. It allows you to specify a percentage of executions for its child elements.
For example, you can have one controller for "Browse Products" with 70% throughput and another for "Checkout" with 10% throughput, reflecting your desired mix.
k6: Defining Multiple Scenarios
k6's scenarios block is powerful for modeling diverse user behaviors. You can define multiple scenarios, each with its own executor, VUs, and duration, to simulate complex workloads.
Here's an example simulating different user types with distinct load patterns:
import http from 'k6/http';
import { sleep } from 'k6';
export const options = {
scenarios: {
browserUser: {
executor: 'constant-vus',
vus: 10,
duration: '30s',
exec: 'browserUserFlow', // function to execute
tags: { type: 'browser' },
},
apiUser: {
executor: 'ramping-vus',
startVUs: 0,
stages: [
{ duration: '10s', target: 5 },
{ duration: '20s', target: 5 },
{ duration: '5s', target: 0 },
],
exec: 'apiUserFlow', // function to execute
tags: { type: 'api' },
},
},
};
export function browserUserFlow() {
http.get('https://test.k6.io/public/croco-products/');
sleep(5);
http.get('https://test.k6.io/news.php');
sleep(3);
}
export function apiUserFlow() {
http.get('https://test-api.k6.io/public/croco/1');
sleep(1);
}Realistic Workload Components
Which of the following are essential components when designing a realistic workload model for performance testing? (Select all that apply)
Recap: Crafting Realistic Loads
In this lesson, we explored the critical elements of crafting realistic workload models for performance testing.
- We covered defining user personas, business processes, and transaction mix.
- We emphasized the importance of pacing, concurrency patterns, and dynamic data.
- Finally, we looked at how to implement these models using tools like JMeter and k6.
A well-designed workload is the foundation for meaningful performance test results!
常见问题解答
「设计逼真的工作负载」课时是免费的吗？
是的 — 「设计逼真的工作负载」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 Load Testing & Performance Benchmarking (JMeter & k6) 课程的其余内容，请升级到 CoddyKit PRO。 Load Testing & Performance Benchmarking (JMeter & k6) 课程共包含 4 节课。
「设计逼真的工作负载」这节课中我会学到什么？
设计复杂的工作负载模型，准确反映多样化的用户行为和业务流程 你通过在浏览器中直接运行的动手代码来练习 Load Testing & Performance Benchmarking (JMeter & k6)，全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Load Testing & Performance Benchmarking (JMeter & k6) 需要有经验吗？
无需任何先前经验。CoddyKit 上的 Load Testing & Performance Benchmarking (JMeter & k6) 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。 这是第 1 节课，共 4 节。
「设计逼真的工作负载」课时需要多长时间？
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。
我能在这节 Load Testing & Performance Benchmarking (JMeter & k6) 课中编写并运行代码吗？
能。每节 Load Testing & Performance Benchmarking (JMeter & k6) 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。