spring + redis 实现数据的缓存

Posted 2021-02-12 Sharpest

转自：http://www.importnew.com/22868.html

1、实现目标

通过redis缓存数据。（目的不是加快查询的速度，而是减少数据库的负担）

2、所需jar包

注意：jdies和commons-pool两个jar的版本是有对应关系的，注意引入jar包是要配对使用，否则将会报错。因为commons-pooljar的目录根据版本的变化，目录结构会变。前面的版本是org.apache.pool，而后面的版本是org.apache.pool2…

style=” color: white; font-size: 17px; font-weight: bold;”3、redis简介

redis是一个key-value存储系统。和Memcached类似，它支持存储的value类型相对更多，包括string(字符串)、list(链表)、set(集合)、zset(sorted set –有序集合)和hash（哈希类型）。这些数据类型都支持push/pop、add/remove及取交集并集和差集及更丰富的操作，而且这些操作都是原子性的。在此基础上，redis支持各种不同方式的排序。与memcached一样，为了保证效率，数据都是缓存在内存中。区别的是redis会周期性的把更新的数据写入磁盘或者把修改操作写入追加的记录文件，并且在此基础上实现了master-slave(主从)

4、编码实现

1）、配置的文件（properties）

将那些经常要变化的参数配置成独立的propertis，方便以后的修改

redis.properties

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redis.hostName=127.0.0.1 redis.port=6379 redis.timeout=15000 redis.usePool=true   redis.maxIdle=6 redis.minEvictableIdleTimeMillis=300000 redis.numTestsPerEvictionRun=3 redis.timeBetweenEvictionRunsMillis=60000

2)、spring-redis.xml

redis的相关参数配置设置。参数的值来自上面的properties文件

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<beans xmlns="http://www.springframework.org/schema/beans"   xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd" default-autowire="byName">      <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">          <!-- <property name="maxIdle" value="6"></property>          <property name="minEvictableIdleTimeMillis" value="300000"></property>          <property name="numTestsPerEvictionRun" value="3"></property>          <property name="timeBetweenEvictionRunsMillis" value="60000"></property>   -->           <property name="maxIdle" value="${redis.maxIdle}"></property>          <property name="minEvictableIdleTimeMillis" value="${redis.minEvictableIdleTimeMillis}"></property>          <property name="numTestsPerEvictionRun" value="${redis.numTestsPerEvictionRun}"></property>          <property name="timeBetweenEvictionRunsMillis" value="${redis.timeBetweenEvictionRunsMillis}"></property>     </bean>      <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory" destroy-method="destroy">          <property name="poolConfig" ref="jedisPoolConfig"></property>          <property name="hostName" value="${redis.hostName}"></property>          <property name="port" value="${redis.port}"></property>          <property name="timeout" value="${redis.timeout}"></property>          <property name="usePool" value="${redis.usePool}"></property>      </bean>      <bean id="jedisTemplate" class="org.springframework.data.redis.core.RedisTemplate">          <property name="connectionFactory" ref="jedisConnectionFactory"></property>          <property name="keySerializer">              <bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>          </property>          <property name="valueSerializer">              <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"/>          </property>      </bean>  </beans>

3）、applicationContext.xml

spring的总配置文件，在里面假如一下的代码

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<bean class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">         <property name="systemPropertiesModeName" value="SYSTEM_PROPERTIES_MODE_OVERRIDE" />         <property name="ignoreResourceNotFound" value="true" />         <property name="locations">             <list>                   <value>classpath*:/META-INF/config/redis.properties</value>             </list>         </property>     </bean>   <import resource="spring-redis.xml" />

4）、web。xml

设置spring的总配置文件在项目启动时加载

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<context-param>     <param-name>contextConfigLocation</param-name>     <param-value>classpath*:/META-INF/applicationContext.xml</param-value><!--  --> </context-param>

5）、redis缓存工具类

ValueOperations　　——基本数据类型和实体类的缓存
ListOperations　　   ——list的缓存
SetOperations　　  ——set的缓存

HashOperations　　Map的缓存

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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;   @Service public class RedisCacheUtil<T> {       @Autowired @Qualifier("jedisTemplate")     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)     {           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;     }   spring + redis 实现数据的缓存 spring + redis 实现数据的缓存 Spring Boot 整合Redis 实现缓存 Spring Boot集成Redis实现缓存 Spring Boot集成Redis实现缓存 SpringBoot 结合 Spring Cache 操作 Redis 实现数据缓存