准备工作
- 在SpringBoot 的 POM 中有引入 Redis starter
- 在application.properties 中 有设置Redis的服务器和账号密码等信息
创建RedisUtil工具类
在utils
包中创建该类
import com.alibaba.druid.util.StringUtils;
import com.fasterxml.jackson.core.JsonFactory;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Component;
import java.util.*;
import java.util.concurrent.TimeUnit;
/***
* Author: YL.Lou
* Class: RedisUtil
* Project: washes_base_backstage
* Introduce:
* DateTime: 2022-06-27 13:58
***/
@Slf4j
@Component
public class RedisUtil {
@Autowired
private StringRedisTemplate redisTemplate;
private final String DEFAULT_KEY_PREFIX = "";
private final int EXPIRE_TIME = 1;
private final TimeUnit EXPIRE_TIME_TYPE = TimeUnit.DAYS;
private ObjectMapper objectMapper = new ObjectMapper(new JsonFactory());
/**
* 数据缓存至redis
*
* @param key
* @param value
* @return
*/
public <K, V> void add(K key, V value) {
if (value != null) {
if (BaseUtil.isBaseDefaultValue(value)) {
log.info("基础数据,简单缓存。");
try {
redisTemplate
.opsForValue()
.set(DEFAULT_KEY_PREFIX + key, value.toString());
} catch (Exception e) {
log.error(e.getMessage(), e);
throw new RuntimeException("基础数据缓存至redis失败");
}
} else {
log.info("高级数据,复杂缓存。");
try {
// 注册时间转换插件
objectMapper.registerModule(new JavaTimeModule());
redisTemplate
.opsForValue()
.set(DEFAULT_KEY_PREFIX + key, objectMapper.writeValueAsString(value));
} catch (Exception e) {
log.error(e.getMessage(), e);
throw new RuntimeException("高级数据缓存至redis失败");
}
}
}
}
/**
* 数据缓存至redis并设置过期时间
*
* @param key
* @param value
* @return
*/
public <K, V> void add(K key, V value, long timeout, TimeUnit unit) {
if (value != null) {
if (BaseUtil.isBaseDefaultValue(value)) {
try {
redisTemplate
.opsForValue()
.set(DEFAULT_KEY_PREFIX + key, value.toString(), timeout, unit);
} catch (Exception e) {
log.error(e.getMessage(), e);
throw new RuntimeException("基础数据缓存至redis失败");
}
} else {
try {
// 注册时间转换插件
objectMapper.registerModule(new JavaTimeModule());
redisTemplate
.opsForValue()
.set(DEFAULT_KEY_PREFIX + key, objectMapper.writeValueAsString(value), timeout, unit);
} catch (Exception e) {
log.error(e.getMessage(), e);
throw new RuntimeException("高级数据缓存至redis失败");
}
}
}else{
throw new RuntimeException("变量值不存在");
}
}
/**
* 写入 hash-set,已经是key-value的键值,不能再写入为hash-set
*
* @param key must not be {@literal null}.
* @param subKey must not be {@literal null}.
* @param value 写入的值
*/
public <K, SK, V> void addHashCache(K key, SK subKey, V value) {
redisTemplate.opsForHash().put(DEFAULT_KEY_PREFIX + key, subKey, value);
}
/**
* 写入 hash-set,并设置过期时间
*
* @param key must not be {@literal null}.
* @param subKey must not be {@literal null}.
* @param value 写入的值
*/
public <K, SK, V> void addHashCache(K key, SK subKey, V value, long timeout, TimeUnit unit) {
redisTemplate.opsForHash().put(DEFAULT_KEY_PREFIX + key, subKey, value);
redisTemplate.expire(DEFAULT_KEY_PREFIX + key, timeout, unit);
}
/**
* 获取 hash-setvalue
*
* @param key must not be {@literal null}.
* @param subKey must not be {@literal null}.
*/
public <K, SK> Object getHashCache(K key, SK subKey) {
return redisTemplate.opsForHash().get(DEFAULT_KEY_PREFIX + key, subKey);
}
/**
* 从redis中获取缓存数据,转成对象
*
* @param key must not be {@literal null}.
* @param clazz 对象类型
* @return
*/
public <K, V> V getObject(K key, Class<V> clazz) throws JsonProcessingException {
String value = this.get(key);
V result = null;
if (!StringUtils.isEmpty(value)) {
objectMapper.registerModule(new JavaTimeModule());
result = objectMapper.readValue(value, clazz);
}
return result;
}
/**
* 从redis中获取缓存数据,转成list
*
* @param key must not be {@literal null}.
* @param clazz 对象类型
* @return
*/
public <K, V> List<V> getList(K key, Class<V> clazz) throws JsonProcessingException {
String value = this.get(key);
List<V> result = Collections.emptyList();
if (!StringUtils.isEmpty(value)) {
objectMapper.registerModule(new JavaTimeModule());
result = (List<V>) objectMapper.readValue(value, clazz);
}
return result;
}
/**
* 功能描述:Get the value of {@code key}.
*
* @param key must not be {@literal null}.
* @return java.lang.String
* @date 2021/9/19
**/
public <K> String get(K key) {
String value;
try {
value = redisTemplate.opsForValue().get(DEFAULT_KEY_PREFIX + key);
} catch (Exception e) {
log.error(e.getMessage(), e);
throw new RuntimeException("从redis缓存中获取缓存数据失败");
}
return value;
}
/**
* 删除key
*/
public void delete(String key) {
redisTemplate.delete(key);
}
/**
* 批量删除key
*/
public void delete(Collection<String> keys) {
redisTemplate.delete(keys);
}
/**
* 获取全部Key值
* @return
*/
public Collection<String> getKeys(){
Set<String> keys = redisTemplate.keys("*");
return keys;
}
/**
* 序列化key
*/
public byte[] dump(String key) {
return redisTemplate.dump(key);
}
/**
* 是否存在key
*/
public Boolean hasKey(String key) {
return redisTemplate.hasKey(key);
}
/**
* 设置过期时间
*/
public Boolean expire(String key, long timeout, TimeUnit unit) {
return redisTemplate.expire(key, timeout, unit);
}
/**
* 设置过期时间
*/
public Boolean expireAt(String key, Date date) {
return redisTemplate.expireAt(key, date);
}
/**
* 移除 key 的过期时间,key 将持久保持
*/
public Boolean persist(String key) {
return redisTemplate.persist(key);
}
/**
* 返回 key 的剩余的过期时间
*/
public Long getExpire(String key, TimeUnit unit) {
return redisTemplate.getExpire(key, unit);
}
/**
* 返回 key 的剩余的过期时间
*/
public Long getExpire(String key) {
return redisTemplate.getExpire(key);
}
}
补充
在POM中有引入一个JSR310
就是给这个工具类用的
SpringBoot自带的Jackson的ObjectMapper不能处理LocalDateTime的序列化
上边代码中的在objectMapper.readValue或者是writeValue之前的
objectMapper.registerModul(new JavaTimeModule())
就是用来解决这个问你题的
这个工具类原本是从网上翻来的,但是没有对这一块有很好的处理 。