JMeter 分布式环境配置
跨多个远程引擎配置并执行 JMeter 测试,以应对海量负载
JMeter 分布式环境配置 是 CoddyKit 上的免费 Load Testing & Performance Benchmarking (JMeter & k6) 课时。 这是第 2 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。
Why Distributed Testing?
When a single machine isn't enough to generate the required load, we need distributed testing. This means using multiple machines to simulate a massive number of users.
JMeter supports this by allowing you to run a test across several remote engines, all controlled by one master machine.
JMeter's Distributed Architecture
JMeter uses a Master-Slave architecture for distributed testing.
- Master: Your local machine, where you design the test plan and initiate the test. It collects results from the slaves.
- Slave (Engine): Remote machines that execute the test plan and generate the actual load against your target application.
Setup Prerequisites
Before setting up, ensure:
- Java: All master and slave machines have the same version of Java installed.
- JMeter: The same JMeter version is installed on all machines.
- Network: All machines are on the same network and can communicate with each other.
- Firewall: Ports are open for communication (default 1099, plus others if specified).
Master Configuration
The master machine needs to know about its slaves. Open jmeter.properties (in JMeter's bin folder) on the master machine.
Find the remote_hosts property and list the IP addresses or hostnames of your slave machines, separated by commas.
remote_hosts=192.168.1.101,192.168.1.102Slave Configuration
On each slave machine, you typically don't need to modify remote_hosts. However, you might need to ensure RMI (Remote Method Invocation) communication is correctly set up.
If you have multiple network interfaces, set java.rmi.server.hostname to the slave's IP address in jmeter.properties. This tells the master which IP to connect to.
java.rmi.server.hostname=192.168.1.101Launching Slave Engines
Once configured, start the JMeter server on each slave machine. Navigate to JMeter's bin directory and run the jmeter-server script.
This command starts the JMeter engine, making it ready to receive test plans from the master.
jmeter-serverFirewall & Port Setup
JMeter's distributed testing relies on RMI, which uses specific ports for communication. By default, RMI uses port 1099.
Ensure that port 1099 (or any custom RMI port you configure) is open in both directions (inbound/outbound) on the firewalls of all master and slave machines.
Executing a Distributed Test
From the master machine, you can start the test using the command line. Use the -R flag followed by the slave IP addresses to specify which remote engines to use.
The test plan (JMX file) will be sent to the specified remote engines, which will then execute it concurrently.
jmeter -n -t my_test_plan.jmx -R 192.168.1.101,192.168.1.102 -l results.jtlRunning via GUI (Master)
You can also initiate a distributed test directly from the JMeter GUI on the master machine.
Go to Run > Remote Start and select the IP addresses of the slave machines you want to use. This offers a visual way to manage your remote engines.
Distributed Setup Check
You've learned how to set up JMeter for distributed testing. Let's test your understanding!
Distributed Testing Recap
Great job! You've learned how to configure JMeter for distributed load testing.
- We covered the Master-Slave architecture.
- You now know how to configure
jmeter.propertieson both master and slave machines. - We discussed starting slave engines and running tests remotely from the master.
- Remember firewall considerations for smooth communication!
This setup allows you to simulate massive user loads, far beyond what a single machine can handle.
常见问题解答
「JMeter 分布式环境配置」课时是免费的吗?
是的 — 「JMeter 分布式环境配置」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。
「JMeter 分布式环境配置」这节课中我会学到什么?
跨多个远程引擎配置并执行 JMeter 测试,以应对海量负载 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 2 节课,共 4 节。
「JMeter 分布式环境配置」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。
此课程中的所有课时
- 分布式测试为何重要
- JMeter 分布式环境配置
- 结合云端与 Kubernetes 使用 k6
- 聚合并同步分布式结果