缓存工具类-redis、本地缓存
redis
RedisCacheUtils.java
package com.usi.hly.basic.toolbox.cache.utils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Component;
import java.util.*;
import java.util.concurrent.TimeUnit;
/**
* redis 工具类
**/
@SuppressWarnings(value = {"unchecked", "rawtypes"})
@Component
public class RedisCacheUtils {
@Autowired
public RedisTemplate redisTemplate;
/**
* 发布消息
*
* @param channel 发布的通道
* @param value 发送的消息
*/
public <T> void convertAndSend(String channel, final T value) {
redisTemplate.convertAndSend(channel, value);
}
/**
* 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
*/
public <T> void setCacheObject(final String key, final T value) {
redisTemplate.opsForValue().set(key, value);
}
/**
* 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
* @param timeout 时间
* @param timeUnit 时间颗粒度
*/
public <T> void setCacheObject(final String key, final T value, final Integer timeout, final TimeUnit timeUnit) {
redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
}
/**
* 设置有效时间
*
* @param key Redis键
* @param timeout 超时时间
* @return true=设置成功；false=设置失败
*/
public boolean expire(final String key, final long timeout) {
return expire(key, timeout, TimeUnit.SECONDS);
}
/**
* 设置有效时间
*
* @param key Redis键
* @param timeout 超时时间
* @param unit 时间单位
* @return true=设置成功；false=设置失败
*/
public boolean expire(final String key, final long timeout, final TimeUnit unit) {
return redisTemplate.expire(key, timeout, unit);
}
/**
* 获得缓存的基本对象。
*
* @param key 缓存键值
* @return 缓存键值对应的数据
*/
public <T> T getCacheObject(final String key) {
ValueOperations<String, T> operation = redisTemplate.opsForValue();
return operation.get(key);
}
/**
* 删除单个对象
*
* @param key
*/
public boolean deleteObject(final String key) {
return redisTemplate.delete(key);
}
/**
* 删除集合对象
*
* @param collection 多个对象
* @return
*/
public long deleteObject(final Collection collection) {
return redisTemplate.delete(collection);
}
/**
* 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> long setCacheList(final String key, final List<T> dataList) {
Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
return count == null ? 0 : count;
}
/**
* 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(final String key) {
return redisTemplate.opsForList().range(key, 0, -1);
}
/**
* 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(final String key, final Set<T> dataSet) {
BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
Iterator<T> it = dataSet.iterator();
while (it.hasNext()) {
setOperation.add(it.next());
}
return setOperation;
}
/**
* 获得缓存的set
*
* @param key
* @return
*/
public <T> Set<T> getCacheSet(final String key) {
return redisTemplate.opsForSet().members(key);
}
/**
* 缓存Map
*
* @param key
* @param dataMap
*/
public <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
if (dataMap != null) {
redisTemplate.opsForHash().putAll(key, dataMap);
}
}
/**
* 获得缓存的Map
*
* @param key
* @return
*/
public <T> Map<String, T> getCacheMap(final String key) {
return redisTemplate.opsForHash().entries(key);
}
/**
* 往Hash中存入数据
*
* @param key Redis键
* @param hKey Hash键
* @param value 值
*/
public <T> void setCacheMapValue(final String key, final String hKey, final T value) {
redisTemplate.opsForHash().put(key, hKey, value);
}
/**
* 获取Hash中的数据
*
* @param key Redis键
* @param hKey Hash键
* @return Hash中的对象
*/
public <T> T getCacheMapValue(final String key, final String hKey) {
HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
return opsForHash.get(key, hKey);
}
/**
* 获取多个Hash中的数据
*
* @param key Redis键
* @param hKeys Hash键集合
* @return Hash对象集合
*/
public <T> List<T> getMultiCacheMapValue(final String key, final Collection<Object> hKeys) {
return redisTemplate.opsForHash().multiGet(key, hKeys);
}
/**
* 获得缓存的基本对象列表
*
* @param pattern 字符串前缀
* @return 对象列表
*/
public Collection<String> keys(final String pattern) {
return redisTemplate.keys(pattern);
}
}
RedisConfig.java
package com.usi.hly.basic.toolbox.cache.config;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import com.fasterxml.jackson.databind.jsontype.impl.StdSubtypeResolver;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
@Configuration
public class RedisConfig {
@Bean
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
RedisTemplate<String, Object> temple = new RedisTemplate<String, Object>();
temple.setConnectionFactory(redisConnectionFactory);
Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<Object>(Object.class);
// 处理redis存储list取出时格式转换错误
ObjectMapper objectMapper = new ObjectMapper();
objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
// 将类名称序列化到json串中，去掉会导致得出来的的是LinkedHashMap对象，直接转换实体对象会失败
objectMapper.activateDefaultTyping(LaissezFaireSubTypeValidator.instance, ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);
// 设置输入时忽略JSON字符串中存在而Java对象实际没有的属性
objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
jackson2JsonRedisSerializer.setObjectMapper(objectMapper);
StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();
// key采用String的序列化方式
temple.setKeySerializer(stringRedisSerializer);
// hash的key也采用String的序列化方式
temple.setHashKeySerializer(stringRedisSerializer);
// value序列化方式采用jackson
temple.setValueSerializer(jackson2JsonRedisSerializer);
// hash的value序列化方式采用jackson
temple.setHashValueSerializer(jackson2JsonRedisSerializer);
return temple;
}
}
本地缓存
CaffeineCacheUtil.java
package com.usi.hly.basic.toolbox.cache.utils;
import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.Caffeine;
import java.util.concurrent.TimeUnit;
public class CaffeineCacheUtil<K, V> {
private static volatile CaffeineCacheUtil instance;
private final Cache<K, V> cache;
// 私有构造函数，防止外部实例化
private CaffeineCacheUtil(long maximumSize, long expireAfterWrite, TimeUnit timeUnit) {
this.cache = Caffeine.newBuilder()
.maximumSize(maximumSize)
.expireAfterWrite(expireAfterWrite, timeUnit)
.build();
}
/**
* 获取单例实例
*
* @param <K> 键类型
* @param <V> 值类型
* @param maximumSize 缓存的最大条目数
* @param expireAfterWrite 过期时间
* @param timeUnit 时间单位
* @return 单例实例
*/
@SuppressWarnings("unchecked")
public static <K, V> CaffeineCacheUtil<K, V> getInstance(long maximumSize, long expireAfterWrite, TimeUnit timeUnit) {
if (instance == null) {
synchronized (CaffeineCacheUtil.class) {
if (instance == null) {
instance = new CaffeineCacheUtil<>(maximumSize, expireAfterWrite, timeUnit);
}
}
}
return instance;
}
/**
* 获取单例实例
*
* @param <K> 键类型
* @param <V> 值类型
* @return 单例实例
*/
@SuppressWarnings("unchecked")
public static <K, V> CaffeineCacheUtil<K, V> getInstance() {
if (instance == null) {
synchronized (CaffeineCacheUtil.class) {
if (instance == null) {
instance = getInstance(1000, 60, TimeUnit.MINUTES);
}
}
}
return instance;
}
/**
* 添加或更新缓存
*
* @param key 键
* @param value 值
*/
public void put(K key, V value) {
cache.put(key, value);
}
/**
* 获取缓存值
*
* @param key 键
* @return 缓存的值，如果不存在则返回 null
*/
public V get(K key) {
System.out.println("local get cache key:" + key);
return cache.getIfPresent(key);
}
/**
* 删除缓存
*
* @param key 键
*/
public void invalidate(K key) {
cache.invalidate(key);
}
/**
* 清空所有缓存
*/
public void invalidateAll() {
cache.invalidateAll();
}
/**
* 获取缓存的大小
*
* @return 缓存中条目的数量
*/
public long size() {
return cache.estimatedSize();
}
}