springmvc集成使用redis过程
发布日期：2022-01-29 14:15 | 文章来源：站长之家
Redis安装
首先安装redis。这个就不重点介绍了。windos下载redis就行。
我用的是mac
用命令行安装的。
安装命令
yum install redis
运行命令
sudo redis-server
这样就安装运行成功了。
spring集成redis
首先你需要下载驱动包，下载 jedis.jar，确保下载最新驱动包。然后导包。
在spring配置文件里我这是ApplicationContext .xml文件添加
<!-- 引入同文件夹下的redis属性配置文件 --> <import resource="spring-redis.xml" />
然后用创建spring-redis.xml文件
写入
<?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: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.xsd">
<!-- 缓存的层级-->
<context:component-scan base-package="com.niit.cache" />
<!-- 引入redis配置 -->
<context:property-placeholder location="/WEB-INF/classes/redis.properties" ignore-unresolvable="true"/>
<!-- Redis 配置 -->
<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxTotal" value="${redis.pool.maxTotal}" />
<property name="maxIdle" value="${redis.pool.maxIdle}" />
<property name="maxWaitMillis" value="${redis.pool.maxWaitMillis}" />
<property name="testOnBorrow" value="${redis.pool.testOnBorrow}" />
</bean>
<!-- JedisCluster 集群高可用配置 -->
<!--<bean id="jedisCluster" class="redis.clients.jedis.JedisCluster">
<constructor-arg index="0">
<set>
<bean class="redis.clients.jedis.HostAndPort">
<constructor-arg index="0" value="${redis.ip1}" />
<constructor-arg index="1" value="${redis.port1}" type="i
public class RedisCache {
public final static String CAHCENAME = "niitcache";// 缓存名
public final static int CAHCETIME = 60;// 默认缓存时间 60S
public final static int CAHCEHOUR = 60 * 60;// 默认缓存时间 1hr
public final static int CAHCEDAY = 60 * 60 * 24;// 默认缓存时间 1Day
public final static int CAHCEWEEK = 60 * 60 * 24 * 7;// 默认缓存时间 1week
public final static int CAHCEMONTH = 60 * 60 * 24 * 7 * 30;// 默认缓存时间 1month
@Autowired
private RedisTemplate<String, String> redisTemplate;
public <T> boolean putCache(String key, T obj) {
final byte[] bkey = key.getBytes();
final byte[] bvalue = ProtoStuffSerializerUtil.serialize(obj);
boolean result = redisTemplate.execute(new RedisCallback<Boolean>() {
@Override
public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
return connection.setNX(bkey, bvalue);
}
});
return result;
}
public <T> void putCacheWithExpireTime(String key, T obj, final long expireTime) {
final byte[] bkey = key.getBytes();
final byte[] bvalue = ProtoStuffSerializerUtil.serialize(obj);
redisTemplate.execute(new RedisCallback<Boolean>() {
@Override
public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
connection.setEx(bkey, expireTime, bvalue);
return true;
}
});
}
public <T> boolean putListCache(String key, List<T> objList) {
final byte[] bkey = key.getBytes();
final byte[] bvalue = ProtoStuffSerializerUtil.serializeList(objList);
boolean result = redisTemplate.execute(new RedisCallback<Boolean>() {
@Override
public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
return connection.setNX(bkey, bvalue);
}
});
return result;
}
public <T> boolean putListCacheWithExpireTime(String key, List<T> objList, final long expireTime) {
final byte[] bkey = key.getBytes();
final byte[] bvalue = ProtoStuffSerializerUtil.serializeList(objList);
boolean result = redisTemplate.execute(new RedisCallback<Boolean>() {
@Override
public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
connection.setEx(bkey, expireTime, bvalue);
return true;
}
});
return result;
}
public <T> T getCache(final String key, Class<T> targetClass) {
byte[] result = redisTemplate.execute(new RedisCallback<byte[]>() {
@Override
public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
return connection.get(key.getBytes());
}
});
if (result == null) {
return null;
}
return ProtoStuffSerializerUtil.deserialize(result, targetClass);
}
public <T> List<T> getListCache(final String key, Class<T> targetClass) {
byte[] result = redisTemplate.execute(new RedisCallback<byte[]>() {
@Override
public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
return connection.get(key.getBytes());
}
});
if (result == null) {
return null;
}
return ProtoStuffSerializerUtil.deserializeList(result, targetClass);
}
/**
* 精确删除key
*
* @param key
*/
public void deleteCache(String key) {
redisTemplate.delete(key);
}
/**
* 模糊删除key
*
* @param pattern
*/
public void deleteCacheWithPattern(String pattern) {
Set<String> keys = redisTemplate.keys(pattern);
redisTemplate.delete(keys);
}
/**
* 清空所有缓存
*/
public void clearCache() {
deleteCacheWithPattern(RedisCache.CAHCENAME + "|*");
}
}
创建redis的配置文件 redis.properties。
写入
#redis config redis.pass= redis.pool.maxTotal=105 redis.pool.maxIdle=10 redis.pool.maxWaitMillis=5000 redis.pool.testOnBorrow=true redis.ip=127.0.0.1 redis.port=6379
这些根据自己的需求自定义配置就好了
这样redis就继承好了
SpringMVC中使用redis
创建一个redisCache类
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import com.niit.util.ProtoStuffSerializerUtil;
import java.util.List;
import java.util.Set;
/**
* redis缓存
*
* @author James
*
*/
@Component
public class RedisCache {
public final static String CAHCENAME = "niitcache";// 缓存名
public final static int CAHCETIME = 60;// 默认缓存时间 60S
public final static int CAHCEHOUR = 60 * 60;// 默认缓存时间 1hr
public final static int CAHCEDAY = 60 * 60 * 24;// 默认缓存时间 1Day
public final static int CAHCEWEEK = 60 * 60 * 24 * 7;// 默认缓存时间 1week
public final static int CAHCEMONTH = 60 * 60 * 24 * 7 * 30;// 默认缓存时间 1month
@Autowired
private RedisTemplate<String, String> redisTemplate;
public <T> boolean putCache(String key, T obj) {
final byte[] bkey = key.getBytes();
final byte[] bvalue = ProtoStuffSerializerUtil.serialize(obj);
boolean result = redisTemplate.execute(new RedisCallback<Boolean>() {
@Override
public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
return connection.setNX(bkey, bvalue);
}
});
return result;
}
public <T> void putCacheWithExpireTime(String key, T obj, final long expireTime) {
final byte[] bkey = key.getBytes();
final byte[] bvalue = ProtoStuffSerializerUtil.serialize(obj);
redisTemplate.execute(new RedisCallback<Boolean>() {
@Override
public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
connection.setEx(bkey, expireTime, bvalue);
return true;
}
});
}
public <T> boolean putListCache(String key, List<T> objList) {
final byte[] bkey = key.getBytes();
final byte[] bvalue = ProtoStuffSerializerUtil.serializeList(objList);
boolean result = redisTemplate.execute(new RedisCallback<Boolean>() {
@Override
public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
return connection.setNX(bkey, bvalue);
}
});
return result;
}
public <T> boolean putListCacheWithExpireTime(String key, List<T> objList, final long expireTime) {
final byte[] bkey = key.getBytes();
final byte[] bvalue = ProtoStuffSerializerUtil.serializeList(objList);
boolean result = redisTemplate.execute(new RedisCallback<Boolean>() {
@Override
public Boolean doInRedis(RedisConnection connection) throws DataAccessException {
connection.setEx(bkey, expireTime, bvalue);
return true;
}
});
return result;
}
public <T> T getCache(final String key, Class<T> targetClass) {
byte[] result = redisTemplate.execute(new RedisCallback<byte[]>() {
@Override
public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
return connection.get(key.getBytes());
}
});
if (result == null) {
return null;
}
return ProtoStuffSerializerUtil.deserialize(result, targetClass);
}
public <T> List<T> getListCache(final String key, Class<T> targetClass) {
byte[] result = redisTemplate.execute(new RedisCallback<byte[]>() {
@Override
public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
return connection.get(key.getBytes());
}
});
if (result == null) {
return null;
}
return ProtoStuffSerializerUtil.deserializeList(result, targetClass);
}
/**
* 精确删除key
*
* @param key
*/
public void deleteCache(String key) {
redisTemplate.delete(key);
}
/**
* 模糊删除key
*
* @param pattern
*/
public void deleteCacheWithPattern(String pattern) {
Set<String> keys = redisTemplate.keys(pattern);
redisTemplate.delete(keys);
}
/**
* 清空所有缓存
*/
public void clearCache() {
deleteCacheWithPattern(RedisCache.CAHCENAME + "|*");
}
}
写进和读取redis
<span style="white-space:pre"> </span>String v = "test";
cache.putCacheWithExpireTime("key", v, cache.CAHCEHOUR);
String value = cache.getCache("key", String.class);
System.out.println(value);
然后集成成功。redis是将数据放进内存里。所以需要考虑做redis服务器时候的内存性能，还有redis的缓存策略等等。
以上为个人经验，希望能给大家一个参考，也希望大家多多支持本站。
版权声明：本站文章来源标注为YINGSOO的内容版权均为本站所有，欢迎引用、转载，请保持原文完整并注明来源及原文链接。禁止复制或仿造本网站，禁止在非www.yingsoo.com所属的服务器上建立镜像，否则将依法追究法律责任。本站部分内容来源于网友推荐、互联网收集整理而来，仅供学习参考，不代表本站立场，如有内容涉嫌侵权，请联系alex-e#qq.com处理。
相关文章
关注官方微信