已知一个已有的Struts+Spring+Hibernate项目，以前使用MySQL数据库，现在想把Redis也整合进去。
1. 相关Jar文件
下载并导入以下3个Jar文件：
commons-pool2-2.4.2.jar、jedis-2.3.1.jar、spring-data-redis-1.3.4.RELEASE.jar。
2. Redis配置文件
在src文件夹下面新建一个redis.properties文件，设置连接Redis的一些属性。
redis.host=127.0.0.1
redis.port=6379
redis.default.db=1
redis.timeout=100000
redis.maxActive=300
redis.maxIdle=100
redis.maxWait=1000
redis.testOnBorrow=true
再新建一个redis.xml文件程序如下：
<?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”
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-4.0.xsd”>
<context:property-placeholder location=”classpath:redis.properties”/>
<bean id=”propertyConfigurerRedis”
class=”org.springframework.beans.factory.config.PropertyPlaceholderConfigurer”>
<property name=”order” value=”1″ />
<property name=”ignoreUnresolvablePlaceholders” value=”true” />
<property name=”systemPropertiesMode” value=”1″ />
<property name=”searchSystemEnvironment” value=”true” />
<property name=”locations”>
<list>
<value>classpath:redis.properties</value>
</list>
</property>
</bean>
<bean id=”jedisPoolConfig”
class=”redis.clients.jedis.JedisPoolConfig”>
<property name=”maxIdle” value=”${redis.maxIdle}” />
<property name=”testOnBorrow” value=”${redis.testOnBorrow}” />
</bean>
<bean id=”jedisConnectionFactory”
class=”org.springframework.data.redis.connection.jedis.JedisConnectionFactory”>
<property name=”usePool” value=”true”></property>
<property name=”hostName” value=”${redis.host}” />
<property name=”port” value=”${redis.port}” />
<property name=”timeout” value=”${redis.timeout}” />
<property name=”database” value=”${redis.default.db}”></property>
<constructor-arg index=”0″ ref=”jedisPoolConfig” />
</bean>
<bean id=”redisTemplate”
class=”org.springframework.data.redis.core.StringRedisTemplate”
p:connectionFactory-ref=”jedisConnectionFactory”
</bean>
<bean id=”redisBase” abstract=”true”>
<property name=”template” ref=”redisTemplate”/>
</bean>
<context:component-scan base-package=”com.school.redisclient” />
</beans>
3. Redis类
新建一个com.school.redisclient包，结构如下：
接口IRedisService：
public interface IRedisService<K, V> {
public void set(K key, V value, long expiredTime);
public V get(K key);
public Object getHash(K key, String name);
public void del(K key);
}
抽象类AbstractRedisService，主要是对RedisTemplate进行操作：
public abstract class AbstractRedisService<K, V> implements IRedisService<K, V> {
@Autowired
private RedisTemplate<K, V> redisTemplate;
public RedisTemplate<K, V> getRedisTemplate() {
return redisTemplate;
}
public void setRedisTemplate(RedisTemplate<K, V> redisTemplate) {
this.redisTemplate = redisTemplate;
}
@Override
public void set(final K key, final V value, final long expiredTime) {
BoundValueOperations<K, V> valueOper = redisTemplate.boundValueOps(key);
if (expiredTime <= 0) {
valueOper.set(value);
} else {
valueOper.set(value, expiredTime, TimeUnit.MILLISECONDS);
}
}
@Override
public V get(final K key) {
BoundValueOperations<K, V> valueOper = redisTemplate.boundValueOps(key);
return valueOper.get();
}
@Override
public Object getHash(K key, String name){
Object res = redisTemplate.boundHashOps(key).get(name);
return res;
}
@Override
public void del(K key) {
if (redisTemplate.hasKey(key)) {
redisTemplate.delete(key);
}
}
}
实现类RedisService：
@Service(“redisService”)
public class RedisService extends AbstractRedisService<String, String> {
}
工具类RedisTool：
public class RedisTool {
private static ApplicationContext factory;
private static RedisService redisService;
public static ApplicationContext getFactory(){
if (factory == null){
factory = new ClassPathXmlApplicationContext(“classpath:redis.xml”);
}
return factory;
}
public static RedisService getRedisService(){
if (redisService == null){
redisService = (RedisService) getFactory().getBean(“redisService”);
}
return redisService;
}
}
4. 查询功能的实现
新建一个Action：RClasQueryAction，返回Redis里面所有的课程数据。
@SuppressWarnings(“serial”)
public class RClasQueryAction extends ActionSupport {
RedisService rs = RedisTool.getRedisService();
List<Clas> claslist = new ArrayList<Clas>();
Clas c;
public String execute(){
if (rs != null){
System.out.println(“RedisService : ” + rs);
getAllClas();
}
ServletActionContext.getRequest().setAttribute(“claslist”, claslist);
return SUCCESS;
}
private void getAllClas(){
claslist = new ArrayList<Clas>();
int num = Integer.parseInt(rs.get(“clas:count”));
for (int i=0; i<num; i++){
String cid = “clas:” + (i+1);
c = new Clas();
int id = Integer.parseInt(String.valueOf(rs.getHash(cid, “ID”)));
c.setId(id);
System.out.println(“ID:” + id);
String name = (String) rs.getHash(cid, “NAME”);
c.setName(name);
System.out.println(“NAME:” + name);
String comment = (String) rs.getHash(cid, “COMMENT”);
c.setComment(comment);
System.out.println(“COMMENT:” + comment);
claslist.add(c);
}
}
}
Struts的设置和jsp文件就不用说了啊，大家都会。
5. Redis数据库
Redis数据库里面的内容（使用的是Redis Desktop Manager客户端）：
最后是运行结果：
当然，这只是实现了从Redis查询数据，还没有实现将Redis作为MySQL的缓存。
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原创文章，作者：奋斗，如若转载，请注明出处：https://blog.ytso.com/tech/pnotes/14666.html