ssm+redis 如何更简洁的利用自定义注解+AOP实现redis缓存

时间:2021-06-08 11:55:32

基于 ssm + maven + redis 使用自定义注解 利用aop基于AspectJ方式 实现redis缓存

  如何能更简洁的利用aop实现redis缓存,话不多说,上demo

  需求:
    数据查询时每次都需要从数据库查询数据,数据库压力很大,查询速度慢,
    因此设置缓存层,查询数据时先从redis中查询,如果查询不到,则到数据库中查询
    然后将数据库中查询的数据放到redis中一份,下次查询时就能直接从redis中查到,不需要查询数据库了

  实现过程:

      先搭建ssm的架子,引入redis,编写redis 缓存方法 RedisCache.java以及序列化用到的工具类 


      自定义注解 getCache 目的:
            被这个注解标记的方法实现aop
            防止redis key重复

     编写切面
      @Aspect

        @Pointcut("@annotation(com.spring_redis.cache.GetCache)")
        切入点为自定义注解 即每个被该注解标记的方法实现通知

        @Around("getCache()")
        利用环绕通知 
          过程: 查询时,先查询redis 如果存在key-value,则返回不查询
          如果不存在,则查询数据库,之后将查询到的数据存入到redis缓存中
          redis key格式:为了防止key冲突,创建的key格式为:

          包名.类名.方法名.参数类型.参数值",类似 "your.package.SomeService.getById(integer).123"

目录结构:

ssm+redis 如何更简洁的利用自定义注解+AOP实现redis缓存

maven依赖:

<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<!-- spring版本号 -->
<spring.version>4.0.6.RELEASE</spring.version>
<!-- mybatis版本号 -->
<mybatis.version>3.2.7</mybatis.version>
</properties>
<dependencies>

<!-- spring核心包 -->
<!-- springframe start -->
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-core</artifactId>
<version>${spring.version}</version>
</dependency>

<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-web</artifactId>
<version>${spring.version}</version>
</dependency>

<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-oxm</artifactId>
<version>${spring.version}</version>
</dependency>

<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-tx</artifactId>
<version>${spring.version}</version>
</dependency>

<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-aop</artifactId>
<version>${spring.version}</version>
</dependency>

<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-jdbc</artifactId>
<version>${spring.version}</version>
</dependency>

<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-webmvc</artifactId>
<version>${spring.version}</version>
</dependency>

<!-- https://mvnrepository.com/artifact/org.springframework/spring-context-support -->
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context-support</artifactId>
<version>4.0.6.RELEASE</version>
</dependency>

<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context</artifactId>
<exclusions>
<exclusion>
<groupId>commons-logging</groupId>
<artifactId>commons-logging</artifactId>
</exclusion>
</exclusions>
<version>${spring.version}</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-test</artifactId>
<version>${spring.version}</version>
</dependency>
<!-- springframe end -->

<!-- aop注解 -->

<dependency>
<groupId>org.aspectj</groupId>
<artifactId>aspectjrt</artifactId>
<version>1.6.12</version>
</dependency>
<dependency>
<groupId>org.aspectj</groupId>
<artifactId>aspectjweaver</artifactId>
<version>1.6.12</version>
</dependency>
<dependency>
<groupId>cglib</groupId>
<artifactId>cglib</artifactId>
<version>2.2</version>
</dependency>

<!-- mysql驱动包 -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.31</version>
</dependency>

<!-- dbcp2连接池 -->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-dbcp2</artifactId>
<version>2.0.1</version>
</dependency>

<!-- json数据 -->
<dependency>
<groupId>org.codehaus.jackson</groupId>
<artifactId>jackson-mapper-asl</artifactId>
<version>1.9.13</version>
</dependency>

<!-- mybatis核心包 -->
<dependency>
<groupId>org.mybatis</groupId>
<artifactId>mybatis</artifactId>
<version>${mybatis.version}</version>
</dependency>
<!-- mybatis/spring包 -->
<dependency>
<groupId>org.mybatis</groupId>
<artifactId>mybatis-spring</artifactId>
<version>1.2.2</version>
</dependency>

<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-redis</artifactId>
<version>1.6.1.RELEASE</version>
</dependency>
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
<version>2.7.3</version>
</dependency>

<!-- servlet-api -->
<dependency>
<groupId>javax.servlet</groupId>
<artifactId>javax.servlet-api</artifactId>
<version>3.0.1</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>javax.servlet.jsp</groupId>
<artifactId>jsp-api</artifactId>
<version>2.2</version>
<scope>provided</scope>
</dependency>
<!-- servlet-api end -->

<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>
</dependencies>

这里只给出redis 的相关配置

    在applicationContext-dao.xml 里添加

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:p="http://www.springframework.org/schema/p"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:aop="http://www.springframework.org/schema/aop" xmlns:tx="http://www.springframework.org/schema/tx"
xmlns:util="http://www.springframework.org/schema/util"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.2.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-3.2.xsd
http://www.springframework.org/schema/tx
http://www.springframework.org/schema/tx/spring-tx-3.2.xsd
http://www.springframework.org/schema/aop
http://www.springframework.org/schema/aop/spring-aop-3.2.xsd
http://www.springframework.org/schema/util
http://www.springframework.org/schema/util/spring-util-3.2.xsd">


<!-- 加载db.properties文件中的内容,db.properties文件中key命名要有一定的特殊规则 -->
<context:property-placeholder location="classpath:properties/db.properties" />



<!-- 配置数据源 ,dbcp -->

<bean id="dataSource" class="org.apache.commons.dbcp2.BasicDataSource">
<property name="driverClassName" value="${jdbc.driver}" />
<property name="url" value="${jdbc.url}" />
<property name="username" value="${jdbc.username}" />
<property name="password" value="${jdbc.password}" />
</bean>


<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean"
p:dataSource-ref="dataSource" p:configLocation="classpath:mybatis/sqlMapConfig.xml"
></bean>
<!-- Redis和缓存配置开始 -->
<!-- jedis 配置 -->
<bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig" >
<property name="maxIdle" value="100" />
<property name="maxWaitMillis" value="1000" />
<property name="testOnBorrow" value="true" />
</bean >

<!-- redis连接池 -->
<bean id="jedisPool" class="redis.clients.jedis.JedisPool" destroy-method="close">
<constructor-arg name="poolConfig" ref="poolConfig"/>
<constructor-arg name="host" value="127.0.0.1"/>
<constructor-arg name="port" value="6379"/>
</bean>

<!-- redis服务器中心 -->
<bean id="connectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory" >
<property name="poolConfig" ref="poolConfig" />
<property name="port" value="6379" />
<property name="hostName" value="127.0.0.1" />
<!-- <property name="password" value="${redis.password}" /> -->
<property name="timeout" value="10000" ></property>
</bean >
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate" >
<property name="connectionFactory" ref="connectionFactory" />
<property name="keySerializer" >
<bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
</property>
<property name="valueSerializer" >
<bean class="org.springframework.data.redis.serializer.StringRedisSerializer" />
</property>
</bean >





<!-- cache配置 -->
<bean id="putCache" class="com.spring_redis.cache.PutCacheAOP" >
<property name="redisTemplate" ref="redisTemplate" />
</bean>

<!-- cache配置 -->
<bean id="getCache" class="com.spring_redis.cache.GetCacheAOP" >
<property name="redisTemplate" ref="redisTemplate" />
</bean>

<!-- Redis和缓存配置结束 -->

<!-- mapper扫描器 -->
<bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
<!-- 扫描包路径,如果需要扫描多个包,中间使用半角逗号隔开 -->
<property name="basePackage" value="com.spring_redis.mapper"></property>
<property name="sqlSessionFactoryBeanName" value="sqlSessionFactory"/>
</bean>

<bean id="roomservice" class="com.spring_redis.service.impl.RoomServiceImpl" >

</bean>

</beans>

 springmvc.xml

<beans xmlns="http://www.springframework.org/schema/beans"    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:mvc="http://www.springframework.org/schema/mvc"    xmlns:context="http://www.springframework.org/schema/context"    xmlns:aop="http://www.springframework.org/schema/aop" xmlns:tx="http://www.springframework.org/schema/tx"    xsi:schemaLocation="http://www.springframework.org/schema/beans         http://www.springframework.org/schema/beans/spring-beans-3.2.xsd         http://www.springframework.org/schema/mvc         http://www.springframework.org/schema/mvc/spring-mvc-3.2.xsd         http://www.springframework.org/schema/context         http://www.springframework.org/schema/context/spring-context-3.2.xsd         http://www.springframework.org/schema/aop         http://www.springframework.org/schema/aop/spring-aop-3.2.xsd         http://www.springframework.org/schema/tx        http://www.springframework.org/schema/tx/spring-tx-3.2.xsd ">    <aop:aspectj-autoproxy proxy-target-class="true"/>    <!-- 可以扫描controller、service、... 这里让扫描controller,指定controller的包 com.ssm.controlle -->    <context:component-scan base-package="com.spring_redis">    </context:component-scan>    <!-- 使用 mvc:annotation-driven代替上边注解映射器和注解适配器配置 mvc:annotation-driven默认加载很多的参数绑定方法 -->    <mvc:annotation-driven />    <!-- 视图解析器 解析jsp解析,默认使用jstl标签,classpath下的得有jstl的包 -->    <bean        class="org.springframework.web.servlet.view.InternalResourceViewResolver">        <!-- 配置jsp路径的前缀 <property name="prefix" value="/jsp/"/> -->        <!-- 配置jsp路径的后缀 -->        <property name="suffix" value=".jsp" />    </bean>    </beans>

 <aop:aspectj-autoproxy proxy-target-class="true"/>  开启注解这个一定要写到springmvc.xml里,否则注解会不起作用

 

  那重点开始了

  创建自定义注解

/** 
* 自定义注解,对于查询使用缓存的方法加入该注解
* @author Chenth
*/
@Retention(RetentionPolicy.RUNTIME)
@Target({ElementType.METHOD})
public @interface GetCache {
String name() default "";
String value() default "";
}

被这个自定义注解所标记的方法将实现下面的切面

 

  配置切面


package com.spring_redis.cache;
import java.io.Serializable;
import java.lang.reflect.Method;


import org.aspectj.lang.JoinPoint;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Pointcut;
import org.aspectj.lang.reflect.MethodSignature;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;

import com.spring_redis.util.RedisCache;

@Component
@Aspect
public class GetCacheAOP {

@Autowired
private RedisTemplate<Serializable, Object> redisTemplate;

private RedisCache redisCache = new RedisCache();


@Pointcut("@annotation(com.spring_redis.cache.GetCache)")
public void getCache(){
System.out.println("我是一个切入点");
}

/**
* 在所有标注@getCache的地方切入
* @param joinPoint
*/
@Around("getCache()")
public Object beforeExec(ProceedingJoinPoint joinPoint){


//前置:到redis中查询缓存
System.out.println("调用从redis中查询的方法...");

//redis中key格式: id
String redisKey = getCacheKey(joinPoint);

//获取从redis中查询到的对象
Object objectFromRedis = redisCache.getDataFromRedis(redisKey);

//如果查询到了
if(null != objectFromRedis){
System.out.println("从redis中查询到了数据...不需要查询数据库");
return objectFromRedis;
}

System.out.println("没有从redis中查到数据...");

//没有查到,那么查询数据库
Object object = null;
try {
object = joinPoint.proceed();
} catch (Throwable e) {

e.printStackTrace();
}

System.out.println("从数据库中查询的数据...");

//后置:将数据库中查询的数据放到redis中
System.out.println("调用把数据库查询的数据存储到redis中的方法...");

redisCache.setDataToRedis(redisKey, object);
System.out.println("redis中的数据..."+object.toString());
//将查询到的数据返回
return object;
}

/**
* 根据类名、方法名和参数值获取唯一的缓存键
* @return 格式为 "包名.类名.方法名.参数类型.参数值",类似 "your.package.SomeService.getById(int).123"
*/

@SuppressWarnings("unused")
private String getCacheKey(ProceedingJoinPoint joinPoint) {


MethodSignature ms=(MethodSignature) joinPoint.getSignature();
Method method=ms.getMethod();
String ActionName = method.getAnnotation(GetCache.class).name();
String fieldList = method.getAnnotation(GetCache.class).value();
//System.out.println("签名是"+ms.toString());
for (String field:fieldList.split(","))
ActionName +="."+field;

//先获取目标方法参数
String id = null;
Object[] args = joinPoint.getArgs();
if (args != null && args.length > 0) {
id = String.valueOf(args[0]);
}

ActionName += "="+id;
String redisKey = ms+"."+ActionName;
return redisKey;
}


public void setRedisTemplate(
RedisTemplate<Serializable, Object> redisTemplate) {
this.redisTemplate = redisTemplate;
}
}

@Pointcut("@annotation(com.spring_redis.cache.GetCache)") 这个切入点的作用是
                                      在所有标注@getCache的地方切入 
 @Around("getCache()")这里用的是后置通知,即查询之前先查询redis,如果有数据就返回数据,没有就穿透的数据库查询数据,之后再缓存到redis中

 

  这里并没有太多的讲解配置ssm框架,可能后续会写关于spring+springmvc+mybatis的框架整合

  编写mapper层,service层,controller层

  mapper

/**
*
* @author cmy
* @date 2016-10-22
* @description 持久化
*/

public interface RoomMapper {

@Insert("insert into room(roomName,address) values(#{roomName},#{addRess})")
int insert(Room room);

@Select("select * from room where id=#{id}")
public Room selectByPrimaryKey(@Param("id")Integer id);

}
service
/** *  * @author     cmy * @date     2016-10-22 * @description test */public interface RoomService {            int insert(Room room)throws Exception;            Room selectByPrimaryKey(Integer id)throws Exception;    }// 实现/** * @author         cmy * @date         2016-10-22 * @description  test 实现 */public class RoomServiceImpl implements RoomService{    @Autowired    private RoomMapper mapper;        @Override    public int insert(Room room) throws Exception {                return mapper.insert(room);    }    @Override    public Room selectByPrimaryKey(Integer id) throws Exception {                return mapper.selectByPrimaryKey(id);    }    }

controller

/** *  * @author     cmy * @date     2016-10-22 * @description test controller */@Controller@RequestMapping("room")public class RoomController {    @Autowired    private RoomService  roomService;        @GetCache(name="room",value="id")    @RequestMapping("selectByPrimaryKey")    public @ResponseBody Object roomList(Integer id) throws Exception{          System.out.println("已查询到数据,准备缓存到redis...  "+roomService.selectByPrimaryKey(id).getRoomName());        return roomService.selectByPrimaryKey(id);    }    }

缓存要用到的工具类  RedisCache:

public class RedisCache {        @Autowired    private JedisPool jedisPool = new JedisPool();        //从redis缓存中查询,反序列化    public Object getDataFromRedis(String redisKey){        //查询        Jedis jedis = jedisPool.getResource();        byte[] result = jedis.get(redisKey.getBytes());                //如果查询没有为空        if(null == result){            return null;        }                //查询到了,反序列化        return SerializeUtil.unSerialize(result);    }        //将数据库中查询到的数据放入redis    public void setDataToRedis(String redisKey, Object obj){                //序列化        byte[] bytes = SerializeUtil.serialize(obj);                //存入redis        Jedis jedis = jedisPool.getResource();        String success = jedis.set(redisKey.getBytes(), bytes);                if("OK".equals(success)){            System.out.println("数据成功保存到redis...");        }    }}

缓存要用到的序列化和反序列化工具

/** *  * @Description: 序列化反序列化工具 */public class SerializeUtil {    /**     *      * 序列化     */    public static byte[] serialize(Object obj){                ObjectOutputStream oos = null;        ByteArrayOutputStream baos = null;                try {            //序列化            baos = new ByteArrayOutputStream();            oos = new ObjectOutputStream(baos);                        oos.writeObject(obj);            byte[] byteArray = baos.toByteArray();            return byteArray;                    } catch (IOException e) {            e.printStackTrace();        }            return null;    }        /**     *      * 反序列化     * @param bytes     * @return     */    public static Object unSerialize(byte[] bytes){                ByteArrayInputStream bais = null;                try {            //反序列化为对象            bais = new ByteArrayInputStream(bytes);            ObjectInputStream ois = new ObjectInputStream(bais);            return ois.readObject();                    } catch (Exception e) {            e.printStackTrace();        }        return null;    }}


以上就是利用aop+自定义注解实现 redis缓存的过程了

      有不对之处,还望指出 欢迎留言

有参考到的文章:http://www.cnblogs.com/mrlinfeng/p/5857775.html

        http://blog.csdn.net/chentian610/article/details/51012789