使用SpringData更加方便我们对关系型数据库和非关系型数据库更好的操作，封装了通用的代码，使得操作更加快捷简单。
一、使用Spring-data-redis Jar包准备
spring-data-redis 需要在1.7 版本以上，他会依赖一些包，比如说 spring-data-commons ，在spring-data-x 系列里，都要依赖这个包。如果你之前项目里使用到了spring-data-x 系列的包，可能需要升级，因为都共同依赖了spring-data-commons ，但是在当前集群要使用的spring-data-redis 中 spring-data-commons 必须要1.12.x 版本以上，这个问题要注意一下。
手动添加jar包 : 相关包下载地址
二、开始配置
1.在spring-application.xml中加入如下代码
<import resource="spring-redis.xml"/>2.创建redis配置文件spring-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-4.2.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-4.2.xsd">
<!-- 加载配置属性文件 按需加载 -->
<!-- <context:property-placeholder ignore-unresolvable="true" location="classpath:redis.cluster.properties" /> -->
<!-- 配置Cluster -->
<bean id="redisClusterConfiguration" class="org.springframework.data.redis.connection.RedisClusterConfiguration">
<property name="maxRedirects" value="3"></property>
<!-- 节点配置 -->
<property name="clusterNodes">
<set>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="120.99.158.113 "></constructor-arg>
<constructor-arg name="port" value="7000"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="120.99.158.113 "></constructor-arg>
<constructor-arg name="port" value="7001"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="120.99.158.113 "></constructor-arg>
<constructor-arg name="port" value="7002"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="112.42.136.189"></constructor-arg>
<constructor-arg name="port" value="7003"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="112.42.136.189"></constructor-arg>
<constructor-arg name="port" value="7004"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="112.42.136.189"></constructor-arg>
<constructor-arg name="port" value="7005"></constructor-arg>
</bean>
</set>
</property>
</bean>
<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxIdle" value="100" />
<property name="maxTotal" value="600" />
</bean>
<bean id="stringRedisSerializer" class="org.springframework.data.redis.serializer.StringRedisSerializer" />
<bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
<constructor-arg ref="redisClusterConfiguration" />
<constructor-arg ref="jedisPoolConfig" />
</bean>
<!-- redis 访问的模版 -->
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
<property name="connectionFactory" ref="jedisConnectionFactory" />
<!-- 添加如下序列化配置解决key乱码问题以及令keys()方法生效 -->
<property name="keySerializer" ref="stringRedisSerializer"/>
<property name="hashKeySerializer" ref="stringRedisSerializer"/>
</bean>
</beans>集群已经集成完成
三、redis操作工具类
import java.util.ArrayList;
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.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.ValueOperations;
import org.springframework.stereotype.Service;
@Service
public class RedisUtil<T> {
@Autowired @Qualifier("redisTemplate")
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;
}
/** * 获得缓存的list对象范围 * @param key 缓存的键值 arg1到arg2 * @return 缓存键值对应的数据 */
public <T> List<T> getCacheListIndex(String key, long arg1, long arg2)
{
List<T> dataList = new ArrayList<T>();
ListOperations<String,T> listOperation = redisTemplate.opsForList();
dataList = listOperation.range(key, arg1, arg2);
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;
}到这里基本已经配置成功了.最后可以写一个方法测试一下
@Autowired @Qualifier("redisTemplate")
public RedisTemplate redisTemplate;
@RequestMapping(value="/test",produces = "text/html;charset=UTF-8")
public void test(){
try {
redisCache.setCacheObject("key123", "456");
String value= redisCache.getCacheObject("key123");
System.out.println(value);
}
}