Redis工具类
集成springboot依赖
<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId></dependency>
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import javax.annotation.Resource;
import java.util.*;
import java.util.concurrent.TimeUnit;/*** <p>* redis工具类* </p>* @author D* @version 1.0* @date 2020/6/6 14:18*/
@Component
public class RedisUtil {@Resourceprivate RedisTemplate<String, Object> redisTemplate;/*** 指定缓存失效时间* @param key 键* @param time 时间(秒)*/public boolean expire(String key, long time) {try {if (time > 0) {redisTemplate.expire(key, time, TimeUnit.SECONDS);}return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 指定缓存失效时间* @param key 键* @param time 时间* @param unit 存入的时间 TimeUnit.SECONDS TimeUnit.HOURS ....*/public boolean expire(String key, long time, TimeUnit unit) {try {if (time > 0) {redisTemplate.expire(key, time, unit);}return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 根据key 获取过期时间* @param key 键 不能为null* @return 时间(秒) 返回 -1 代表为永久有效.-2 表示key不存在 或者 NPE（空指针异常）*/public long getExpire(String key) {Long time = redisTemplate.getExpire(key, TimeUnit.SECONDS);if(time == null) {return -2;}else {return time;}}/*** 判断key是否存在* @param key 键* @return true 存在 false不存在*/public boolean hasKey(String key) {try {Boolean exist = redisTemplate.hasKey(key);if(exist == null) {return false;}else {return exist;}} catch (Exception e) {e.printStackTrace();return false;}}/*** 删除缓存* @param key 可以传一个值 或多个*/public void del(String... key) {if (key != null && key.length > 0) {if (key.length == 1) {redisTemplate.delete(key[0]);} else {redisTemplate.delete(new ArrayList<>(Arrays.asList(key)));}}}/*** 普通缓存获取* @param key 键* @return 值*/public Object get(String key) {return key == null ? null : redisTemplate.opsForValue().get(key);}/*** 普通缓存放入* @param key 键* @param value 值* @return true成功 false失败*/public boolean set(String key, Object value) {try {redisTemplate.opsForValue().set(key, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 普通缓存放入并设置时间* @param key 键* @param value 值* @param time 时间(秒) time要大于0 如果time小于等于0 将设置无限期* @return true成功 false 失败*/public boolean set(String key, Object value, long time) {try {if (time > 0) {redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS);} else {set(key, value);}return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 普通缓存放入并设置时间* @param key 键* @param value 值* @param time 时间(秒) time要大于0 如果time小于等于0 将设置无限期* @param unit 存入的时间单位* @return true成功 false 失败*/public boolean set(String key, Object value, long time, TimeUnit unit) {try {if (time > 0) {redisTemplate.opsForValue().set(key, value, time, unit);} else {set(key, value);}return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 递增* @param key 键值* @param delta 增量 大于零* @return 增加后的值 如何为 0 则键不存在或者 NPE*/public long increment(String key, long delta) {Long incr;if (delta < 0) {throw new RuntimeException("递增因子必须大于0!");}if (hasKey(key)) {return 0;}incr = redisTemplate.opsForValue().increment(key, delta);if(incr == null) {return 0;}else {return incr;}}/*** 递减* @param key 键* @param delta 减量* @return 减少后的值*/public long decrement(String key, long delta) {Long decr;if (delta > 0) {throw new RuntimeException("递减因子必须小于0!");}if (hasKey(key)) {return 0;}decr = redisTemplate.opsForValue().increment(key, -delta);if(decr == null) {return 0;}else {return decr;}}/*** HashGet* @param key 键 不能为null* @param item 项 不能为null*/public Object hget(String key, String item) {return redisTemplate.opsForHash().get(key, item);}/*** 获取hashKey对应的所有键值* @param key 键* @return 对应的多个键值*/public Map<Object, Object> hmget(String key) {return redisTemplate.opsForHash().entries(key);}/*** HashSet* @param key 键* @param map 对应多个键值* @return 是否成功*/public boolean hmset(String key, Map<String, Object> map) {try {redisTemplate.opsForHash().putAll(key, map);return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** HashSet 并设置时间* @param key 键* @param map 对应多个键值* @param time 时间(秒)* @return true成功 false失败*/public boolean hmset(String key, Map<String, Object> map, long time) {try {redisTemplate.opsForHash().putAll(key, map);if (time > 0) {expire(key, time);}return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 向一张hash表中放入数据,如果不存在将创建* @param key 键* @param item 项* @param value 值* @return true 成功 false失败*/public boolean hset(String key, String item, Object value) {try {redisTemplate.opsForHash().put(key, item, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 向一张hash表中放入数据,如果不存在将创建* @param key 键* @param item 项* @param value 值* @param time 时间(秒) 注意:如果已存在的hash表有时间,这里将会替换原有的时间* @return true 成功 false失败*/public boolean hset(String key, String item, Object value, long time) {try {redisTemplate.opsForHash().put(key, item, value);if (time > 0) {expire(key, time);}return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 删除hash表中的值* @param key 键 不能为null* @param item 项 可以使多个 不能为null*/public void hdel(String key, Object... item) {redisTemplate.opsForHash().delete(key, item);}/*** 判断hash表中是否有该项的值* @param key 键 不能为null* @param item 项 不能为null* @return true 存在 false不存在*/public boolean hHasKey(String key, String item) {return redisTemplate.opsForHash().hasKey(key, item);}/*** hash递增 如果不存在,就会创建一个 并把新增后的值返回** @param key 键* @param item 项* @param by 要增加几(大于0)*/public double hincr(String key, String item, double by) {return redisTemplate.opsForHash().increment(key, item, by);}/*** hash递减* @param key 键* @param item 项* @param by 要减少记(小于0)*/public double hdecr(String key, String item, double by) {return redisTemplate.opsForHash().increment(key, item, -by);}/*** 根据key获取Set中的所有值* @param key 键*/public Set<Object> sGet(String key) {try {return redisTemplate.opsForSet().members(key);} catch (Exception e) {e.printStackTrace();return null;}}/*** 根据value从一个set中查询,是否存在* @param key 键* @param value 值* @return true 存在 false不存在*/public boolean sHasKey(String key, Object value) {try {Boolean exit = redisTemplate.opsForSet().isMember(key, value);if(exit == null) {return false;}else {return exit;}} catch (Exception e) {e.printStackTrace();return false;}}/*** 将数据放入set缓存* @param key 键* @param values 值 可以是多个* @return 成功个数*/public long sSet(String key, Object... values) {try {Long count = redisTemplate.opsForSet().add(key, values);if (count ==null) {return 0;} else {return count;}} catch (Exception e) {e.printStackTrace();return 0;}}/*** 将set数据放入缓存* @param key 键* @param time 时间(秒)* @param values 值 可以是多个* @return 成功个数*/public long sSetAndTime(String key, long time, Object... values) {try {Long count = redisTemplate.opsForSet().add(key, values);if (time > 0) {expire(key, time);}if (count == null) {return 0;} else {return count;}} catch (Exception e) {e.printStackTrace();return 0;}}/*** 获取set缓存的长度* @param key 键*/public long sGetSetSize(String key) {try {Long length = redisTemplate.opsForSet().size(key);if(length == null) {return 0;} else {return length;}} catch (Exception e) {e.printStackTrace();return 0;}}/*** 移除值为value的* @param key 键* @param values 值 可以是多个* @return 移除的个数*/public long setRemove(String key, Object... values) {try {Long count = redisTemplate.opsForSet().remove(key, values);if(count == null) {return 0;} else {return count;}} catch (Exception e) {e.printStackTrace();return 0;}}/*** 获取list缓存的内容* @param key 键* @param start 开始* @param end 结束 0 到 -1代表所有值*/public List<Object> lGet(String key, long start, long end) {try {return redisTemplate.opsForList().range(key, start, end);} catch (Exception e) {e.printStackTrace();return null;}}/*** 获取list缓存的长度* @param key 键*/public long lGetListSize(String key) {try {Long length = redisTemplate.opsForList().size(key);if(length == null) {return 0;} else {return length;}} catch (Exception e) {e.printStackTrace();return 0;}}/*** 通过索引 获取list中的值* @param key 键* @param index 索引 index>=0时， 0 表头，1 第二个元素，依次类推；index<0时，-1，表尾，-2倒数第二个元素，依次类推*/public Object lGetIndex(String key, long index) {try {return redisTemplate.opsForList().index(key, index);} catch (Exception e) {e.printStackTrace();return null;}}/*** 将list放入缓存* @param key 键* @param value 值*/public boolean lSet(String key, Object value) {try {redisTemplate.opsForList().rightPush(key, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 将list放入缓存* @param key 键* @param value 值* @param time 时间(秒)*/public boolean lSet(String key, Object value, long time) {try {redisTemplate.opsForList().rightPush(key, value);if (time > 0) {expire(key, time);}return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 将list放入缓存** @param key 键* @param value 值* @return 是否成功加入*/public boolean lSet(String key, List<Object> value) {try {redisTemplate.opsForList().rightPushAll(key, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 将list放入缓存** @param key 键* @param value 值* @param time 时间(秒)* @return 是否成功加入*/public boolean lSet(String key, List<Object> value, long time) {try {redisTemplate.opsForList().rightPushAll(key, value);if (time > 0) {expire(key, time);}return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 根据索引修改list中的某条数据** @param key 键* @param index 索引* @param value 值* @return 是否成功获取*/public boolean lUpdateIndex(String key, long index, Object value) {try {redisTemplate.opsForList().set(key, index, value);return true;} catch (Exception e) {e.printStackTrace();return false;}}/*** 移除N个值为value** @param key 键* @param count 移除多少个* @param value 值* @return 移除的个数*/public long lRemove(String key, long count, Object value) {try {Long remove = redisTemplate.opsForList().remove(key, count, value);if (remove == null) {return 0;} else {return remove;}} catch (Exception e) {e.printStackTrace();return 0;}}
}
Redis配置类（序列化，反序列化）
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.databind.jsontype.impl.LaissezFaireSubTypeValidator;
import org.springframework.cache.CacheManager;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
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.*;
import java.time.Duration;/*** <p>* Redis配置文件* </p>** @author D* @version 1.0* @date 2020/6/6 14:13*/
@Configuration
public class RedisConfig {private Jackson2JsonRedisSerializer<Object> getJackson2JsonRedisSerializer(){Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<Object>(Object.class);//解决查询缓存转换异常的问题ObjectMapper om = new ObjectMapper();om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);om.activateDefaultTyping(LaissezFaireSubTypeValidator.instance,ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);jackson2JsonRedisSerializer.setObjectMapper(om);return jackson2JsonRedisSerializer;}@Bean(name = "redisTemplate")public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) {// 我们为了自己开发方便，一般直接使用 <String, Object>RedisTemplate<String, Object> template = new RedisTemplate<String, Object>();template.setConnectionFactory(factory);// Json序列化配置Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = getJackson2JsonRedisSerializer();// String 的序列化StringRedisSerializer stringRedisSerializer = new StringRedisSerializer();// key采用String的序列化方式template.setKeySerializer(stringRedisSerializer);// hash的key也采用String的序列化方式template.setHashKeySerializer(stringRedisSerializer);// value序列化方式采用jacksontemplate.setValueSerializer(jackson2JsonRedisSerializer);// hash的value序列化方式采用jacksontemplate.setHashValueSerializer(jackson2JsonRedisSerializer);template.afterPropertiesSet();return template;}/*** 使用Duration.ZERO声明一个永久缓存。* 默认使用 ttl 单位是秒 pttl 单位是毫秒*/private Duration timeToLive = Duration.ZERO;public void setTimeToLive(Duration timeToLive) {this.timeToLive = timeToLive;}@Beanpublic CacheManager cacheManager(RedisConnectionFactory factory) {RedisSerializer<String> redisSerializer = new StringRedisSerializer();Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = getJackson2JsonRedisSerializer();// 配置序列化（解决乱码的问题）RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig().entryTtl(timeToLive).serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer)).serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer)).disableCachingNullValues();return RedisCacheManager.builder(factory).cacheDefaults(config).build();}}
LocalDateTime 序列化，反序列化
在实体类中使用LocalDateTime代替Date时，会出现反序列化失败的问题。（JDK1.8 新时间类）
解决方法可以使用fasterxml去序列化和反序列化。（每个实体类最好实现 Serializable 接口，用于标识的作用）
import com.fasterxml.jackson.databind.annotation.JsonDeserialize;
import com.fasterxml.jackson.databind.annotation.JsonSerialize;
import com.fasterxml.jackson.datatype.jsr310.deser.LocalDateTimeDeserializer;
import com.fasterxml.jackson.datatype.jsr310.ser.LocalDateTimeSerializer;@JsonDeserialize(using = LocalDateTimeDeserializer.class)@JsonSerialize(using = LocalDateTimeSerializer.class)@ApiModelProperty(value = "创建时间")@TableField(fill = FieldFill.INSERT)private LocalDateTime gmtCreate;@JsonDeserialize(using = LocalDateTimeDeserializer.class)@JsonSerialize(using = LocalDateTimeSerializer.class)@ApiModelProperty(value = "修改时间")@TableField(fill = FieldFill.INSERT_UPDATE)private LocalDateTime gmtModified;