springmvc集成使用redis過程
更新時間：2021年11月11日 11:04:35 作者：蝴蝶Maple
這篇文章主要介紹了springmvc集成使用redis過程，具有很好的參考價值，希望對大家有所幫助。如有錯誤或未考慮完全的地方，望不吝賜教
Redis安裝
首先安裝redis。這個就不重點介紹了。windos下載redis就行。
我用的是mac
用命令行安裝的。
安裝命令
yum install redis
運行命令
sudo redis-server
這樣就安裝運行成功了。
spring集成redis
首先你需要下載驅動包，下載 jedis.jar，確保下載最新驅動包。然后導包。
在spring配置文件里我這是ApplicationContext .xml文件添加
<!-- 引入同文件夾下的redis屬性配置文件 --> <import resource="spring-redis.xml" />
然后用創(chuàng)建spring-redis.xml文件
寫入
<?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">
<!-- 緩存的層級-->
<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="int" />
</bean>
<bean class="redis.clients.jedis.HostAndPort">
<constructor-arg index="0" value="${redis.ip2}" />
<constructor-arg index="1" value="${redis.port2}" type="int" />
</bean>
<bean class="redis.clients.jedis.HostAndPort">
<constructor-arg index="0" value="${redis.ip3}" />
<constructor-arg index="1" value="${redis.port3}" type="int" />
</bean>
<bean class="redis.clients.jedis.HostAndPort">
<constructor-arg index="0" value="${redis.ip4}" />
<constructor-arg index="1" value="${redis.port4}" type="int" />
</bean>
<bean class="redis.clients.jedis.HostAndPort">
<constructor-arg index="0" value="${redis.ip5}" />
<constructor-arg index="1" value="${redis.port5}" type="int" />
</bean>
<bean class="redis.clients.jedis.HostAndPort">
<constructor-arg index="0" value="${redis.ip6}" />
<constructor-arg index="1" value="${redis.port6}" type="int" />
</bean>
</set>
</constructor-arg>
<constructor-arg index="1" value="2000" type="int"></constructor-arg>
<constructor-arg index="2" value="100" type="int"></constructor-arg>
<constructor-arg index="3" ref="jedisPoolConfig"></constructor-arg>
</bean>-->
<!--redis Sentinel主從高可用方案配置 -->
<!-- <bean id="sentinelConfiguration" class="org.springframework.data.redis.connection.RedisSentinelConfiguration">
<property name="master">
<bean class="org.springframework.data.redis.connection.RedisNode">
<property name="name" value="master-1"></property>
</bean>
</property>
<property name="sentinels">
<set>
<bean class="org.springframework.data.redis.connection.RedisNode">
<constructor-arg name="host" value="${sentinel1.ip}"></constructor-arg>
<constructor-arg name="port" value="${sentinel1.port}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisNode">
<constructor-arg name="host" value="${sentinel2.ip}"></constructor-arg>
<constructor-arg name="port" value="${sentinel2.port}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisNode">
<constructor-arg name="host" value="${sentinel3.ip}"></constructor-arg>
<constructor-arg name="port" value="${sentinel3.port}"></constructor-arg>
</bean>
</set>
</property>
</bean>
<bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory" p:use-pool="true">
<property name="password" value="${redis.pass}" />
<property name="poolConfig">
<ref bean="jedisPoolConfig" />
</property>
<constructor-arg name="sentinelConfig" ref="sentinelConfiguration" />
</bean> -->
<!-- redis單節(jié)點數(shù)據庫連接配置 -->
<bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
<property name="hostName" value="${redis.ip}" />
<property name="port" value="${redis.port}" />
<property name="password" value="${redis.pass}" />
<property name="poolConfig" ref="jedisPoolConfig" />
</bean>
<!-- redisTemplate配置，redisTemplate是對Jedis的對redis操作的擴展，有更多的操作，封裝使操作更便捷 -->
<bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">
<property name="connectionFactory" ref="jedisConnectionFactory" />
</bean>
</beans>
public class RedisCache {
public final static String CAHCENAME = "niitcache";// 緩存名
public final static int CAHCETIME = 60;// 默認緩存時間 60S
public final static int CAHCEHOUR = 60 * 60;// 默認緩存時間 1hr
public final static int CAHCEDAY = 60 * 60 * 24;// 默認緩存時間 1Day
public final static int CAHCEWEEK = 60 * 60 * 24 * 7;// 默認緩存時間 1week
public final static int CAHCEMONTH = 60 * 60 * 24 * 7 * 30;// 默認緩存時間 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);
}
/**
* 精確刪除key
*
* @param key
*/
public void deleteCache(String key) {
redisTemplate.delete(key);
}
/**
* 模糊刪除key
*
* @param pattern
*/
public void deleteCacheWithPattern(String pattern) {
Set<String> keys = redisTemplate.keys(pattern);
redisTemplate.delete(keys);
}
/**
* 清空所有緩存
*/
public void clearCache() {
deleteCacheWithPattern(RedisCache.CAHCENAME + "|*");
}
}
創(chuàng)建redis的配置文件 redis.properties。
寫入
#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
這些根據自己的需求自定義配置就好了
這樣redis就繼承好了
SpringMVC中使用redis
創(chuàng)建一個redisCache類
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緩存
*
* @author James
*
*/
@Component
public class RedisCache {
public final static String CAHCENAME = "niitcache";// 緩存名
public final static int CAHCETIME = 60;// 默認緩存時間 60S
public final static int CAHCEHOUR = 60 * 60;// 默認緩存時間 1hr
public final static int CAHCEDAY = 60 * 60 * 24;// 默認緩存時間 1Day
public final static int CAHCEWEEK = 60 * 60 * 24 * 7;// 默認緩存時間 1week
public final static int CAHCEMONTH = 60 * 60 * 24 * 7 * 30;// 默認緩存時間 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);
}
/**
* 精確刪除key
*
* @param key
*/
public void deleteCache(String key) {
redisTemplate.delete(key);
}
/**
* 模糊刪除key
*
* @param pattern
*/
public void deleteCacheWithPattern(String pattern) {
Set<String> keys = redisTemplate.keys(pattern);
redisTemplate.delete(keys);
}
/**
* 清空所有緩存
*/
public void clearCache() {
deleteCacheWithPattern(RedisCache.CAHCENAME + "|*");
}
}
寫進和讀取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是將數(shù)據放進內存里。所以需要考慮做redis服務器時候的內存性能，還有redis的緩存策略等等。
以上為個人經驗，希望能給大家一個參考，也希望大家多多支持腳本之家。
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