RedisTemplate重写的一些模板

1.为什么要重写RedisTemplate

我们知道SpringBoot官方给出了2种实例化方式，分别是 RedisTemplate<Object,Object> 和 RedisTemplate<String,String>
这两种或多或少都有一些问题；

1.第一种对key所采用的序列化方式是JdkSerializationRedisSerializer
由此种方式序列化的key在存入Redis数据库时会被转为16进制同时具有类型前缀（非常复杂难看懂），这样想要拿取此key对应的value还要先算出此key的值，所以不采用该种。

2.第二种要求value值类型也为String，导致数据操作步骤繁琐，较为影响运行效率。所以我们一般重写一RedisTemplate<String,Object>
这样更切合业务并且代码操作更加简单，SpringBoot官方的设置也是当你手动注入一个RedisTemplate的Bean时，优先使用你手动注入的RedisTemplate。（如使用第二种的话，我需要手动将对象数据进行json转化，影响代码效率，存储起来也非常麻烦）

2.实例

package com.wyh.gateway.redis;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 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;/*** Redis的config处理** @author: chopin* @create: 2023/12/2 23:00*/
@Configuration
public class RedisConfig {@Beanpublic RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {//1.redisTemplate 是一个key-value存储的模板，它可以操作hash、list、set、zset等数据结构,但是默认序列化是乱码的RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>();StringRedisSerializer redisSerializer = new StringRedisSerializer();//2.设置了 RedisConnectionFactory 对象，它是 Redis 客户端的连接工厂，它可以创建和管理 Redis 客户端连接。redisTemplate.setConnectionFactory(redisConnectionFactory);//3.设置了 RedisTemplate 的 key 序列化器为 StringRedisSerializer 对象，它可以将字符串对象转换为 Redis 的键redisTemplate.setKeySerializer(redisSerializer);//4.设置了 RedisTemplate 的 hash key 序列化器为 StringRedisSerializer 对象，它可以将字符串对象转换为 Redis 的哈希键redisTemplate.setHashKeySerializer(redisSerializer);//5.设置了 RedisTemplate 的 value 序列化器为 jackson2JsonRedisSerializer 对象，它可以将 Java 对象序列化为 JSON 字符串并将其存储在 Redis 中redisTemplate.setValueSerializer(jackson2JsonRedisSerializer());redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer());return redisTemplate;}public Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer() {// 创建一个 Jackson2JsonRedisSerializer 对象，其泛型类型为 ObjectJackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<>(Object.class);// 创建一个 ObjectMapper 对象ObjectMapper objectMapper = new ObjectMapper();// 允许所有属性可见，包括私有属性objectMapper.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);// 禁用对未知属性的失败objectMapper.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);// 启用默认的类型，即非终态类型objectMapper.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL, JsonTypeInfo.As.PROPERTY);// 将 ObjectMapper 对象设置为 Jackson2JsonRedisSerializer 对象jackson2JsonRedisSerializer.setObjectMapper(objectMapper);// 返回 Jackson2JsonRedisSerializer 对象return jackson2JsonRedisSerializer;}
}

RedisUtils

package com.wyh.gateway.redis;import lombok.extern.slf4j.Slf4j;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;import javax.annotation.Resource;
import java.util.Set;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;
import java.util.stream.Stream;/*** Redis工具类** @author: chopin* @create: 2023/12/2 23:10*/
@Component
@Slf4j
public class RedisUtil {@Resourceprivate RedisTemplate redisTemplate;private static final String CACHE_KEY_SEPARATOR = ".";/*** 构建缓存key*/public String buildKey(String... strObjs) {return Stream.of(strObjs).collect(Collectors.joining(CACHE_KEY_SEPARATOR));}/*** 是否存在key*/public boolean exist(String key) {return redisTemplate.hasKey(key);}/*** 删除key*/public boolean del(String key) {return redisTemplate.delete(key);}/*** set(不带过期)*/public void set(String key, String value) {redisTemplate.opsForValue().set(key, value);}/*** set(带过期)*/public boolean setNx(String key, String value, Long time, TimeUnit timeUnit) {return redisTemplate.opsForValue().setIfAbsent(key, value, time, timeUnit);}/*** 获取string类型缓存*/public String get(String key) {return (String) redisTemplate.opsForValue().get(key);}public Boolean zAdd(String key, String value, Long score) {return redisTemplate.opsForZSet().add(key, value, Double.valueOf(String.valueOf(score)));}public Long countZset(String key) {return redisTemplate.opsForZSet().size(key);}public Set<String> rangeZset(String key, long start, long end) {return redisTemplate.opsForZSet().range(key, start, end);}public Long removeZset(String key, Object value) {return redisTemplate.opsForZSet().remove(key, value);}public void removeZsetList(String key, Set<String> value) {value.stream().forEach((val) -> redisTemplate.opsForZSet().remove(key, val));}public Double score(String key, Object value) {return redisTemplate.opsForZSet().score(key, value);}public Set<String> rangeByScore(String key, long start, long end) {return redisTemplate.opsForZSet().rangeByScore(key, Double.valueOf(String.valueOf(start)), Double.valueOf(String.valueOf(end)));}public Object addScore(String key, Object obj, double score) {return redisTemplate.opsForZSet().incrementScore(key, obj, score);}public Object rank(String key, Object obj) {return redisTemplate.opsForZSet().rank(key, obj);}}