安装部署redis+实现redis分布式缓存 java+Spring+redis

来源：互联网发布：java 打印model.map 编辑：程序博客网时间：2024/05/29 04:53

目的：解决单机session不能共享问题，插入查询数据库时间效率问题，实现分布式缓存。
准备材料：Redis 下载链接 http://pan.baidu.com/s/1dEGTxvV
相关jar包如果需要可以留言也可以自行下载
这里写图片描述
redis 下载之后安装部署：
解压压缩包，第一步点击run.bat如下图

############### redis连接池配置
这里写图片描述
第二步会出现如下图，有端口号的界面标示启动成功。

第三步如果发生产时候需要改掉端口号，防止被攻击，在redis.conf配置文件里面修改

第四步点击安装客户端

安装好后按如下操作

好了以上就将redis安装部署完成了，下面需要将其用到我们的项目里面。与spring相结合

准备开始
第一步：

首先需要配置文件，也可以不配置直接在xml中写，但是为了以后的方便修改，建议写到配置文件名字命名为redis.properties里面。

############### redis连接池配置

#redis主机地址redis.host=127.0.0.1#redis端口redis.port=6379#redis连接池最大值redis.pool.maxTotal=300#redis连接最大空闲值redis.pool.maxIdle=20#redis连接最小空闲值redis.pool.minIdle=5#redis获取连接时是否验证可用性redis.pool.testOnBorrow=true#redis连接超时时间redis.timeout=15000#是否使用连接池管理连接redis.usePool=true

##################### redis管理session #############################

然后配置spring-context-redis.xml也可以直接写在applicationContext.xml里面但是我这里通过导入的方式

************************spring-context-redis.xml*****************<?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:jee="http://www.springframework.org/schema/jee" xmlns:tx="http://www.springframework.org/schema/tx"      xmlns:aop="http://www.springframework.org/schema/aop"      xsi:schemaLocation="              http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd              http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd">         <context:component-scan base-package="com.tianrong">    </context:component-scan>    <context:component-scan base-package="com.etianrong">    </context:component-scan>    <!-- Jedis -->    <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">        <property name="maxTotal" value="${redis.pool.maxTotal}" />        <property name="maxIdle" value="${redis.pool.maxIdle}" />        <property name="minIdle" value="${redis.pool.minIdle}" />        <property name="testOnBorrow" value="${redis.pool.testOnBorrow}" />    </bean>    <bean id="jedisConnectionFactory"        class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">        <property name="hostName" value="${redis.host}" />        <property name="port" value="${redis.port}" />        <property name="timeout" value="${redis.timeout}" />        <property name="usePool" value="${redis.usePool}" />        <property name="poolConfig" ref="jedisPoolConfig" />    </bean>    <bean id="stringRedisSerializer"        class="org.springframework.data.redis.serializer.StringRedisSerializer" />    <bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">        <property name="connectionFactory" ref="jedisConnectionFactory"/>        <property name="keySerializer" ref="stringRedisSerializer"/>        <property name="hashKeySerializer" ref="stringRedisSerializer"/>    </bean></beans>************************spring-context-redis.xml*****************************************applicationContext.xml***start*************         <bean id="propertyConfigurer" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">        <property name="location">            <value>classpath*:*.properties</value>        </property>        <property name="fileEncoding" value="utf-8" />    </bean><import resource="spring-context-redis.xml"/>#在这导入************************applicationContext.xml***end*************************************web.xml***start*************<servlet>    <servlet-name>spring</servlet-name>    <servlet-class>org.springframework.web.servlet.DispatcherServlet</servlet-class>    <init-param>      <param-name>contextConfigLocation</param-name>      <param-value>classpath:applicationContext.xml</param-value>    </init-param>    <load-on-startup>1</load-on-startup>  </servlet>************************web.xml***end*************

**************初始化数据监听器******Start***********

import java.util.HashMap;import java.util.List;import java.util.Map;import org.apache.log4j.Logger;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.context.ApplicationListener;import org.springframework.context.event.ContextRefreshedEvent;import org.springframework.stereotype.Service;import com.tianrong.product.entity.Integral;import com.tianrong.product.service.IntegralService;import org.springframework.data.redis.core.RedisTemplate;/* * 监听器，用于项目启动的时候初始化信息 */@Servicepublic class StartAddCacheListener implements ApplicationListener<ContextRefreshedEvent>{ //日志 private final Logger log= Logger.getLogger(StartAddCacheListener.class); @Autowired public RedisUtil<Object> redisCache; @Override public void onApplicationEvent(ContextRefreshedEvent event)  {     //初始化数据     redisCache.setCacheObject("dataList", "Hello World!");  } public  void test (){     String dataList= redisCache.getCacheObject("dataList");     log.info(dataList+"****************************************"); }}************************初始化数据监听器*****end ********************************工具类**********************import java.io.Serializable;import java.util.ArrayList;import java.util.HashMap;import java.util.HashSet;import java.util.Iterator;import java.util.List;import java.util.Map;import java.util.Set;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.beans.factory.annotation.Qualifier;import org.springframework.context.support.ClassPathXmlApplicationContext;import org.springframework.data.redis.core.BoundSetOperations;import org.springframework.data.redis.core.HashOperations;import org.springframework.data.redis.core.ListOperations;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.data.redis.core.SetOperations;import org.springframework.data.redis.core.ValueOperations;import org.springframework.stereotype.Service;/** * @author Wolf * */@Servicepublic class RedisUtil<T> {//     @Autowired @Qualifier("redisTemplate")//     public RedisTemplate redisTemplate;      @Autowired      public RedisTemplate redisTemplate;     /**      * 缓存基本的对象，Integer、String、实体类等      * @param key 缓存的键值      * @param value 缓存的值      * @return  缓存的对象      */     public <T> ValueOperations<String,T> setCacheObject(String key,T value)     {      System.out.println(key+"*****"+value.toString());      ValueOperations<String,T> operation = redisTemplate.opsForValue();       operation.set(key,value);      return operation;     }     /**      * 获得缓存的基本对象。      * @param key  缓存键值      * @param operation      * @return   缓存键值对应的数据      */     public <T> T getCacheObject(String key/*,ValueOperations<String,T> operation*/)     {      ValueOperations<String,T> operation = redisTemplate.opsForValue();       return operation.get(key);     }     /**      * 缓存List数据      * @param key  缓存的键值      * @param dataList 待缓存的List数据      * @return   缓存的对象      */     public <T> ListOperations<String, T> setCacheList(String key,List<T> dataList)     {      ListOperations listOperation = redisTemplate.opsForList();      if(null != dataList)      {       int size = dataList.size();       for(int i = 0; i < size ; i ++)       {        listOperation.rightPush(key,dataList.get(i));       }      }      return listOperation;     }     /**      * 获得缓存的list对象      * @param key 缓存的键值      * @return  缓存键值对应的数据      */     public <T> List<T> getCacheList(String key)     {      List<T> dataList = new ArrayList<T>();      ListOperations<String,T> listOperation = redisTemplate.opsForList();      Long size = listOperation.size(key);      for(int i = 0 ; i < size ; i ++)      {       dataList.add((T) listOperation.leftPop(key));      }      return dataList;     }     /**      * 缓存Set      * @param key  缓存键值      * @param dataSet 缓存的数据      * @return   缓存数据的对象      */     public <T> BoundSetOperations<String,T> setCacheSet(String key,Set<T> dataSet)     {      BoundSetOperations<String,T> setOperation = redisTemplate.boundSetOps(key);       /*T[] t = (T[]) dataSet.toArray();        setOperation.add(t);*/      Iterator<T> it = dataSet.iterator();      while(it.hasNext())      {       setOperation.add(it.next());      }      return setOperation;     }     /**      * 获得缓存的set      * @param key      * @param operation      * @return      */     public Set<T> getCacheSet(String key/*,BoundSetOperations<String,T> operation*/)     {      Set<T> dataSet = new HashSet<T>();      BoundSetOperations<String,T> operation = redisTemplate.boundSetOps(key);       Long size = operation.size();      for(int i = 0 ; i < size ; i++)      {       dataSet.add(operation.pop());      }      return dataSet;     }     /**      * 缓存Map      * @param key      * @param dataMap      * @return      */     public <T> HashOperations<String,String,T> setCacheMap(String key,Map<String,T> dataMap)     {      HashOperations hashOperations = redisTemplate.opsForHash();      if(null != dataMap)      {       for (Map.Entry<String, T> entry : dataMap.entrySet()) {         /*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue()); */        hashOperations.put(key,entry.getKey(),entry.getValue());       }       }      return hashOperations;     }     /**      * 获得缓存的Map      * @param key      * @param hashOperation      * @return      */     public <T> Map<String,T> getCacheMap(String key/*,HashOperations<String,String,T> hashOperation*/)     {      Map<String, T> map = redisTemplate.opsForHash().entries(key);      /*Map<String, T> map = hashOperation.entries(key);*/      return map;     }     /**      * 缓存Map      * @param key      * @param dataMap      * @return      */     public <T> HashOperations<String,Integer,T> setCacheIntegerMap(String key,Map<Integer,T> dataMap)     {      HashOperations hashOperations = redisTemplate.opsForHash();      if(null != dataMap)      {       for (Map.Entry<Integer, T> entry : dataMap.entrySet()) {         /*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue()); */        hashOperations.put(key,entry.getKey(),entry.getValue());       }       }      return hashOperations;     }     /**      * 获得缓存的Map      * @param key      * @param hashOperation      * @return      */     public <T> Map<Integer,T> getCacheIntegerMap(String key/*,HashOperations<String,String,T> hashOperation*/)     {      Map<Integer, T> map = redisTemplate.opsForHash().entries(key);      /*Map<String, T> map = hashOperation.entries(key);*/      return map;     }}**************************************工具类**************************

下面是初始化监听器效果图************
这里写图片描述
以下是单元测试图

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