组件-------（一）redis系列--安装部署redis+实现redis分布式缓存 java+Spring+redis

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 
 
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
 
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
 */
@Service
public 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
 *
 */
@Service
public 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************ 
 
以下是单元测试图