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