Bean的Scope

Scope描述的是Spring容器如何新建Bean的实例的。Spring的Scope有以下几种,通过@Scope注解来实现。
    1.Singleton:一个Spring容器中有一个Bean的实例,此为Spring的默认配置,全容器共享一个实例。
    2.Prototype: 每次调用新建一个Bean的实例。

实例

编写Singleton的Bean

package com.wisely.highlight_spring4.ch2.scope;

import org.springframework.stereotype.Service;

@Service //1
public class DemoSingletonService { } 代码解释
默认为Singleton,相当于@Scope("singleton") 编写Prototype的Bean
package com.wisely.highlight_spring4.ch2.scope;

import org.springframework.context.annotation.Scope;
import org.springframework.stereotype.Service; @Service
@Scope("prototype")//1
public class DemoPrototypeService { } 代码解释
声明Scope为Prototype 配置类
package com.wisely.highlight_spring4.ch2.scope;

import org.springframework.context.annotation.ComponentScan;
import org.springframework.context.annotation.Configuration; @Configuration
@ComponentScan("com.wisely.highlight_spring4.ch2.scope")
public class ScopeConfig { } 运行
package com.wisely.highlight_spring4.ch2.scope;

import org.springframework.context.annotation.AnnotationConfigApplicationContext;

public class Main {

   public static void main(String[] args) {
AnnotationConfigApplicationContext context =
new AnnotationConfigApplicationContext(ScopeConfig.class);
DemoSingletonService s1 = context.getBean(DemoSingletonService.class);
DemoSingletonService s2 = context.getBean(DemoSingletonService.class); DemoPrototypeService p1 = context.getBean(DemoPrototypeService.class);
DemoPrototypeService p2 = context.getBean(DemoPrototypeService.class); System.out.println("s1与s2是否相等"+s1.equals(s2));
System.out.println("p1与p2是否相等"+p1.equals(p2)); context.close();
}
}

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alt="" />


												

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