Teach you java code examples for creating spring boot projects under eclipse
This article details the creation of the first project based on eclipse (eclipse-jee-neon-3-win32-x86_64.zip) + spring boot.
spring Boot is a new framework provided by the Pivotal team. It is designed to simplify the initial construction and development process of new Spring applications. The framework uses an ad hoc approach to configuration, eliminating the need for developers to define boilerplate configurations. In this way, Boot strives to become a leader in the booming field of rapid application development. In other words, Spring Boot was born to simplify Spring development. The main idea is to reduce the entry level of spring so that novices can run the program under the spring framework as quickly as possible.
Today we will create the first project based on eclipse (eclipse-jee-neon-3-win32-x86_64.zip) + spring boot.
1. InstallationSTS plug-in
To use spring bootto create a project in eclipse, STS (Spring Tool Suite (STS) for Eclipse) must be installed first. If the network speed is strong, you can choose to install it online. Otherwise, it is recommended to choose offline installation.
1. Install online
Help -> Eclipse Marketplace
Search or select the "Popular" tab and select Spring Tool Suite (STS) for Eclipse plug-in, install:
2. Offline installation
(1) First download the STS plug-in, the download address is: https: //spring.io/tools/sts
(2)Help->Install New Software
(3)Click "Add->Archive ..", then select the STS plug-in you just downloaded, give the plug-in a name, and click "OK".
# (4) Just select a few components ending with IDE to install. If the event is waiting for a long time, you can install them one by one.
(5) Check whether the installation is successful
Window->Show View->Other, check whether there are Spring components, if there are, it means that we have The installation was successful.
2. Create a Spring Boot project
(1) Create a project and select Spring starter Project. Fill in various information related to the project, and then Next:
(2) Select the required Dependency, and then Next:
(3) Finally "Finish" and start downloading the jar package. This process takes a long time.
3. Run the project
(1) Right-click the main method in DemoApplication, Run As -> Spring Boot App, and the project will be ready started.
package com.example; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; @SpringBootApplication public class DemoApplication { public static void main(String[] args) { SpringApplication.run(DemoApplication.class, args); } }
(2) If you want to run hello world, use the @RestController annotation and add the hello method.
package com.example; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.RestController; @RestController @SpringBootApplication public class DemoApplication { @RequestMapping("/") public String hello(){ return"Hello world!"; } public static void main(String[] args) { SpringApplication.run(DemoApplication.class, args); } }
How to run our Application and see the output of hello world?
The first way is to run the main method directly:
Select the main method of DemoApplication -> Right-click -> Run as ->Java Application, then open the browser and enter the address: http ://127.0.0.1:8080/ and you can see Hello world!.
Second method:
Right-click the project -> Run as -> Maven build -> Enter spring-boot:run in Goals, then Apply, and finally click Run.
4. Packaging
1. Command: clean package
2. Execute command: Java –jar xxxxxx.jar
The above is the detailed content of Teach you java code examples for creating spring boot projects under eclipse. 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











Java 8 introduces the Stream API, providing a powerful and expressive way to process data collections. However, a common question when using Stream is: How to break or return from a forEach operation? Traditional loops allow for early interruption or return, but Stream's forEach method does not directly support this method. This article will explain the reasons and explore alternative methods for implementing premature termination in Stream processing systems. Further reading: Java Stream API improvements Understand Stream forEach The forEach method is a terminal operation that performs one operation on each element in the Stream. Its design intention is

PHP is a scripting language widely used on the server side, especially suitable for web development. 1.PHP can embed HTML, process HTTP requests and responses, and supports a variety of databases. 2.PHP is used to generate dynamic web content, process form data, access databases, etc., with strong community support and open source resources. 3. PHP is an interpreted language, and the execution process includes lexical analysis, grammatical analysis, compilation and execution. 4.PHP can be combined with MySQL for advanced applications such as user registration systems. 5. When debugging PHP, you can use functions such as error_reporting() and var_dump(). 6. Optimize PHP code to use caching mechanisms, optimize database queries and use built-in functions. 7

PHP and Python each have their own advantages, and the choice should be based on project requirements. 1.PHP is suitable for web development, with simple syntax and high execution efficiency. 2. Python is suitable for data science and machine learning, with concise syntax and rich libraries.

PHP is suitable for web development, especially in rapid development and processing dynamic content, but is not good at data science and enterprise-level applications. Compared with Python, PHP has more advantages in web development, but is not as good as Python in the field of data science; compared with Java, PHP performs worse in enterprise-level applications, but is more flexible in web development; compared with JavaScript, PHP is more concise in back-end development, but is not as good as JavaScript in front-end development.

PHP and Python each have their own advantages and are suitable for different scenarios. 1.PHP is suitable for web development and provides built-in web servers and rich function libraries. 2. Python is suitable for data science and machine learning, with concise syntax and a powerful standard library. When choosing, it should be decided based on project requirements.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

The reasons why PHP is the preferred technology stack for many websites include its ease of use, strong community support, and widespread use. 1) Easy to learn and use, suitable for beginners. 2) Have a huge developer community and rich resources. 3) Widely used in WordPress, Drupal and other platforms. 4) Integrate tightly with web servers to simplify development deployment.

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.
