compile("org.springframework.boot:spring-boot-starter-data-redis")
第二步骤:
新建一个类
package com.zys.util;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
@Configuration
@EnableCaching
public class RedisCacheConfig {
@Bean
public CacheManager cacheManager(RedisTemplate, ?> redisTemplate){
CacheManager cacheManager = new RedisCacheManager(redisTemplate);
return cacheManager;
}
@Bean
public RedisTemplate
RedisTemplate
redisTemplate.setConnectionFactory(factory);
// key序列化方式;(不然会出现乱码;),但是如果方法上有Long等非String类型的话,会报类型转换错误;
// 所以在没有自己定义key生成策略的时候,以下这个代码建议不要这么写,可以不配置或者自己实现ObjectRedisSerializer
// 或者JdkSerializationRedisSerializer序列化方式;
RedisSerializer
redisTemplate.setKeySerializer(redisSerializer);
redisTemplate.setHashKeySerializer(redisSerializer);
//设置序列化Value的实例化对象
redisTemplate.setValueSerializer(new GenericJackson2JsonRedisSerializer());
return redisTemplate;
}
}
第三步:
写一个公共类
package com.zys.util;
import java.io.Serializable;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import org.springframework.stereotype.Component;
/**
* redicache 工具类
*
*/
@Component
public class RedisUtil {
@SuppressWarnings("rawtypes")
@Autowired
private RedisTemplate redisTemplate;
/**
* 批量删除对应的value
*
* @param keys
*/
public void remove(final String... keys) {
for (String key : keys) {
remove(key);
}
}
/**
* 批量删除key
*
* @param pattern
*/
public void removePattern(final String pattern) {
Set
if (keys.size() > 0)
redisTemplate.delete(keys);
}
/**
* 删除对应的value
*
* @param key
*/
public void remove(final String key) {
if (exists(key)) {
redisTemplate.delete(key);
}
}
/**
* 判断缓存中是否有对应的value
*
* @param key
* @return
*/
public boolean exists(final String key) {
return redisTemplate.hasKey(key);
}
/**
* 读取缓存
*
* @param key
* @return
*/
public String get(final String key) {
Object result = null;
redisTemplate.setValueSerializer(new StringRedisSerializer());
ValueOperations
result = operations.get(key);
if(result==null){
return null;
}
return result.toString();
}
/**
* 写入缓存
*
* @param key
* @param value
* @return
*/
public boolean set(final String key, Object value) {
boolean result = false;
try {
ValueOperations
operations.set(key, value);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存
*
* @param key
* @param value
* @return
*/
public boolean set(final String key, Object value, Long expireTime) {
boolean result = false;
try {
ValueOperations
operations.set(key, value);
redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
public boolean hmset(String key, Map
boolean result = false;
try {
redisTemplate.opsForHash().putAll(key, value);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
public Map
Map
try {
result= redisTemplate.opsForHash().entries(key);
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
}
第四步:
在Controller 测试即可
@Autowired
private RedisUtil redisUtil;
redisUtil.set("zys", "zys你好,我是redis");
System.out.println(redisUtil.get("zys")+"--------------------------");