


Detailed explanation of Java environment variable configuration steps under Linux system
Detailed explanation of Java environment variable configuration steps under Linux system
1. Overview:
In Linux system, if we need to use Java to develop or run Java programs , you need to configure Java environment variables. Java environment variables include JAVA_HOME, PATH and CLASSPATH. This article will detail the steps to configure Java environment variables under Linux systems and provide specific code examples.
2. Configuration steps:
- Download and install Java Development Kit (JDK).
First, we need to download the JDK installation package suitable for Linux systems from the Oracle official website (http://www.oracle.com/technetwork/java/javase/downloads/index.html) and follow the instructions of the installation package to complete it. JDK installation. - Determine the JDK installation path.
In Linux systems, JDK is installed in the directory /opt/jdk by default, but the actual installation path may be different, so we need to determine the actual installation path of JDK. -
Configure the JAVA_HOME variable.
Open the Terminal window and enter the following command in the command line:sudo gedit ~/.bashrc
Copy after loginCopy after loginIn the open text editor, add the following content at the end of the file:
export JAVA_HOME=/usr/lib/jvm/java-8-oracle
Copy after loginAmong them, / usr/lib/jvm/java-8-oracle should be replaced with the actual path to the JDK, save and close the file.
Configure the PATH variable.
In the terminal, enter the following command:sudo gedit /etc/environment
Copy after loginIn the opened file, find the definition of the PATH variable and add the JDK bin directory path after it. For example:
PATH="/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/usr/lib/jvm/java-8-oracle/bin"
Copy after loginSave and close the file.
Configure CLASSPATH variable (optional).
If you need to use Java class library, we can configure the CLASSPATH variable. In the terminal, enter the following command:sudo gedit ~/.bashrc
Copy after loginCopy after loginAdd the following at the end of the open file:
export CLASSPATH=.:$JAVA_HOME/lib
Copy after loginSave and close the file.
Variables that take effect.
In the terminal, execute the following command to make the configured environment variables take effect:source ~/.bashrc
Copy after loginOr, directly close the terminal window and reopen a new terminal window.
Verify the configuration results.
In the terminal, enter the following command to verify whether the JAVA_HOME and PATH variables are configured correctly:echo $JAVA_HOME echo $PATH
Copy after loginIf the output results are the installation path of the JDK and the path to the bin directory containing the JDK, the configuration is successful. .
3. Code example:
The following is a simple Java program example (HelloWorld.java):
public class HelloWorld { public static void main(String[] args) { System.out.println("Hello, World!"); } }
In the terminal, compile and Run the program:
javac HelloWorld.java java HelloWorld
If "Hello, World!" is successfully output, it means that the Java environment variable is configured successfully.
Summary:
Configuring Java environment variables is a prerequisite for using Java to develop or run Java programs in a Linux system. This article details the steps to configure Java environment variables under Linux systems and provides specific code examples. I hope this article can be helpful to readers who need to develop Java in Linux systems.
The above is the detailed content of Detailed explanation of Java environment variable configuration steps under Linux system. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



How to use Docker Desktop? Docker Desktop is a tool for running Docker containers on local machines. The steps to use include: 1. Install Docker Desktop; 2. Start Docker Desktop; 3. Create Docker image (using Dockerfile); 4. Build Docker image (using docker build); 5. Run Docker container (using docker run).

Troubleshooting steps for failed Docker image build: Check Dockerfile syntax and dependency version. Check if the build context contains the required source code and dependencies. View the build log for error details. Use the --target option to build a hierarchical phase to identify failure points. Make sure to use the latest version of Docker engine. Build the image with --t [image-name]:debug mode to debug the problem. Check disk space and make sure it is sufficient. Disable SELinux to prevent interference with the build process. Ask community platforms for help, provide Dockerfiles and build log descriptions for more specific suggestions.

Docker process viewing method: 1. Docker CLI command: docker ps; 2. Systemd CLI command: systemctl status docker; 3. Docker Compose CLI command: docker-compose ps; 4. Process Explorer (Windows); 5. /proc directory (Linux).

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.

VS Code system requirements: Operating system: Windows 10 and above, macOS 10.12 and above, Linux distribution processor: minimum 1.6 GHz, recommended 2.0 GHz and above memory: minimum 512 MB, recommended 4 GB and above storage space: minimum 250 MB, recommended 1 GB and above other requirements: stable network connection, Xorg/Wayland (Linux)

VS Code is the full name Visual Studio Code, which is a free and open source cross-platform code editor and development environment developed by Microsoft. It supports a wide range of programming languages and provides syntax highlighting, code automatic completion, code snippets and smart prompts to improve development efficiency. Through a rich extension ecosystem, users can add extensions to specific needs and languages, such as debuggers, code formatting tools, and Git integrations. VS Code also includes an intuitive debugger that helps quickly find and resolve bugs in your code.

The reasons for the installation of VS Code extensions may be: network instability, insufficient permissions, system compatibility issues, VS Code version is too old, antivirus software or firewall interference. By checking network connections, permissions, log files, updating VS Code, disabling security software, and restarting VS Code or computers, you can gradually troubleshoot and resolve issues.

VS Code To switch Chinese mode: Open the settings interface (Windows/Linux: Ctrl, macOS: Cmd,) Search for "Editor: Language" settings Select "Chinese" in the drop-down menu Save settings and restart VS Code
