SpringBoot中Inteceptor 之 MethodInterceptor

Spring Boot拦截器(Interceptor)详解 在拦截器当中,我们通常也是做一些通用性的操作,比如:我们可以通过拦截器来拦截前端发起的请求,将登录校验的逻辑全部编写在拦截器当中。方法,这个方法执行完成后需要返回一个布尔类型的值,如果返回true,就表示放行本次操作,才会继续访问controller中的方法;以上就是拦截器的执行流程。,表示拦截所有资源,而在配置拦截器时,不仅可以指定要拦截哪些资源,还可以指定不拦截哪些资源,只需要调用。首先我们先来看拦截器的拦截路径的配置,在注册配置拦截器的时候,我们要指定拦截器的拦截路径,通过。 阅读详情

MethodInterceptor是AOP项目中的拦截器,它拦截的目标是方法,即使不是controller中的方法

自定义方法拦截器

package org.aopalliance.intercept;

@FunctionalInterface
public interface MethodInterceptor extends Interceptor {
    Object invoke(MethodInvocation var1) throws Throwable;
}

自定义拦截器,实现MethodInterceptor接口的invoke()方法

package com.wang.chao.micro.interceptor;

import org.aopalliance.intercept.MethodInterceptor;
import org.aopalliance.intercept.MethodInvocation;

public class MyMethodInterceptor implements MethodInterceptor {
    @Override
    public Object invoke(MethodInvocation methodInvocation) throws Throwable {
        System.out.println("MyMethodInterceptor  "+methodInvocation.getMethod().getName());
        return methodInvocation.proceed();
    }
}

案例一

使用aspectj execution表达定义切点;使用 AspectJExpressionPointcut定义切点并注册

package com.wang.chao.micro.interceptor.config;

import com.wang.chao.micro.interceptor.MyMethodInterceptor;
import org.springframework.aop.aspectj.AspectJExpressionPointcut;
import org.springframework.aop.support.DefaultPointcutAdvisor;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class InterceptorConfig {
    public static final String traceExecution = "execution(* com.wang.chao.micro..*.*(..))";

    @Bean
    public DefaultPointcutAdvisor defaultPointcutAdvisor(){
        MyMethodInterceptor methodInterceptor = new MyMethodInterceptor();
        AspectJExpressionPointcut pointcut = new AspectJExpressionPointcut();
        pointcut.setExpression(traceExecution);

        DefaultPointcutAdvisor advisor = new DefaultPointcutAdvisor();
        advisor.setPointcut(pointcut);
        advisor.setAdvice(methodInterceptor);
        return advisor;
    }
}

案例二

与案例一的主要区别是用JdkRegexpMethodPointcut来构造切点

package com.wang.chao.micro.interceptor.config;

import com.wang.chao.micro.interceptor.MyMethodInterceptor;
import org.springframework.aop.aspectj.AspectJExpressionPointcut;
import org.springframework.aop.support.DefaultPointcutAdvisor;
import org.springframework.aop.support.JdkRegexpMethodPointcut;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class InterceptorConfig {
    public static final String traceExecution = "execution(* com.wang.chao.micro..*.*(..))";

    @Bean
    public DefaultPointcutAdvisor defaultPointcutAdvisor() {
        MyMethodInterceptor methodInterceptor = new MyMethodInterceptor();
        DefaultPointcutAdvisor advisor = new DefaultPointcutAdvisor();
        //case 1
        // AspectJExpressionPointcut pointcut = new AspectJExpressionPointcut();
        // pointcut.setExpression(traceExecution);

        //case 2
        JdkRegexpMethodPointcut pointcut2 = new JdkRegexpMethodPointcut();
        pointcut2.setPattern("com.wang.chao.micro.*");

        advisor.setPointcut(pointcut2);
        advisor.setAdvice(methodInterceptor);
        return advisor;
    }
}

案例三

自定义注解 AspectJExpressionPointcut 

package com.wang.chao.micro.interceptor.annotation;

import java.lang.annotation.*;

@Target(ElementType.METHOD)
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface InterceptorAnnotation {
}
package com.wang.chao.micro.interceptor.config;

import com.wang.chao.micro.interceptor.MyMethodInterceptor;
import org.springframework.aop.aspectj.AspectJExpressionPointcut;
import org.springframework.aop.support.DefaultPointcutAdvisor;
import org.springframework.aop.support.JdkRegexpMethodPointcut;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class InterceptorConfig {
    public static final String traceAnnotationExecution = "@annotation(com.wang.chao.micro.interceptor.annotation.InterceptorAnnotation)";
    @Bean
    public DefaultPointcutAdvisor defaultPointcutAdvisor() {
        MyMethodInterceptor methodInterceptor = new MyMethodInterceptor();
        DefaultPointcutAdvisor advisor = new DefaultPointcutAdvisor();
        //case 3
        AspectJExpressionPointcut pointcut = new AspectJExpressionPointcut();
        pointcut.setExpression(traceAnnotationExecution);

        advisor.setPointcut(pointcut);
        advisor.setAdvice(methodInterceptor);
        return advisor;
    }
}

案例四

自定义注解 AnnotationMatchingPointcut

package com.wang.chao.micro.interceptor.config;

import com.wang.chao.micro.interceptor.MyMethodInterceptor;
import com.wang.chao.micro.interceptor.annotation.InterceptorAnnotation;
import org.springframework.aop.aspectj.AspectJExpressionPointcut;
import org.springframework.aop.support.DefaultPointcutAdvisor;
import org.springframework.aop.support.JdkRegexpMethodPointcut;
import org.springframework.aop.support.annotation.AnnotationMatchingPointcut;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class InterceptorConfig {

    @Bean
    public DefaultPointcutAdvisor defaultPointcutAdvisor() {
        MyMethodInterceptor methodInterceptor = new MyMethodInterceptor();
        DefaultPointcutAdvisor advisor = new DefaultPointcutAdvisor();
        //case 4
        AnnotationMatchingPointcut pointcut = new AnnotationMatchingPointcut(null, InterceptorAnnotation.class);

        advisor.setPointcut(pointcut);
        advisor.setAdvice(methodInterceptor);
        return advisor;
    }
}

测试类

package com.wang.chao.micro.service;

import org.springframework.stereotype.Service;

@Service
public class UserService {

    public void saveUser(String name, String sex) {
        System.out.println("name = " + name + ", sex = " + sex+" id =");
        sayHello(name);
    }

    public void sayHello(String name){
        System.out.println("Hello name = " + name+" Welcome in Spring Interceptor world");
    }
}

请求调用测试 

package com.wang.chao.micro.controller;

import com.wang.chao.micro.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RestController;

@RestController
public class UserController {
    @Autowired
    private UserService userService;

    @RequestMapping(value="/" ,method = RequestMethod.GET)
    public void saveUser(String name,String sex){
       userService.saveUser(name,sex);

    }
}

启动调用测试

package com.wang.chao.micro;

import com.wang.chao.micro.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.ApplicationContext;

@SpringBootApplication
public class Application {
    @Autowired
    private ApplicationContext applicationContext;
    public static void main(String[] args) {
        ApplicationContext applicationContext =  SpringApplication.run(Application.class, args);

        UserService userService=(UserService) applicationContext.getBean("userService");
        userService.saveUser("wagnchao","nan");
        userService.sayHello("wangchaochao");
    }

}

 

总结

四种构造Pointcut切点方式

AspectJExpressionPointcut   JdkRegexpMethodPointcut  AnnotationMatchingPointcut

 

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% Dropout fraction opts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex4 neural net with sigmoid activation functionrand('state',0)nn = nnsetup([784 100 10]);nn.activation_function = 'sigm'; % Sigmoid activation functionnn.learningRate = 1; % Sigm require a lower learning rateopts.numepochs = 1; % Number of full sweeps through dataopts.batchsize = 100; % Take a mean gradient step over this many samplesnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex5 plotting functionalityrand('state',0)nn = nnsetup([784 20 10]);opts.numepochs = 5; % Number of full sweeps through datann.output = 'softmax'; % use softmax outputopts.batchsize = 1000; % Take a mean gradient step over this many samplesopts.plot = 1; % enable plottingnn = nntrain(nn, train_x, train_y, opts);[er, bad] = nntest(nn, test_x, test_y);assert(er < 0.1, 'Too big error');%% ex6 neural net with sigmoid activation and plotting of validation and training error% split training data into training and validation datavx = train_x(1:10000,:);tx = train_x(10001:end,:);vy = train_y(1:10000,:);ty = train_y(10001:end,:);rand('state',0)nn = nnsetup([784 20 10]); 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