feature(使用redis缓存): 功能合并

1、缓存改为Redis缓存,不在启动时缓存,使用时候根据数据源缓存
2、前端登录接口调整
This commit is contained in:
lwf
2023-07-26 17:20:54 +08:00
parent 91769f0b75
commit 414c1be128
79 changed files with 1801 additions and 3070 deletions

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@ -1,5 +1,7 @@
package cn.iocoder.yudao.framework.redis.config;
import cn.hutool.core.util.StrUtil;
import cn.iocoder.yudao.framework.redis.core.TimeoutRedisCacheManager;
import org.springframework.boot.autoconfigure.AutoConfiguration;
import org.springframework.boot.autoconfigure.cache.CacheProperties;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
@ -7,8 +9,15 @@ import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Primary;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.cache.RedisCacheWriter;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.RedisSerializer;
import java.util.Objects;
import static cn.iocoder.yudao.framework.redis.config.YudaoRedisAutoConfiguration.buildRedisSerializer;
/**
* Cache 配置类,基于 Redis 实现
@ -20,15 +29,19 @@ public class YudaoCacheAutoConfiguration {
/**
* RedisCacheConfiguration Bean
*
* <p>
* 参考 org.springframework.boot.autoconfigure.cache.RedisCacheConfiguration 的 createConfiguration 方法
*/
@Bean
@Primary
public RedisCacheConfiguration redisCacheConfiguration(CacheProperties cacheProperties) {
// 设置使用 JSON 序列化方式
RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig();
config = config.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(RedisSerializer.json()));
// 设置使用 : 单冒号,而不是双 :: 冒号,避免 Redis Desktop Manager 多余空格
// 详细可见 https://blog.csdn.net/chuixue24/article/details/103928965 博客
config = config.computePrefixWith(cacheName -> cacheName + StrUtil.COLON);
// 设置使用 JSON 序列化方式
config = config.serializeValuesWith(
RedisSerializationContext.SerializationPair.fromSerializer(buildRedisSerializer()));
// 设置 CacheProperties.Redis 的属性
CacheProperties.Redis redisProperties = cacheProperties.getRedis();
@ -47,4 +60,14 @@ public class YudaoCacheAutoConfiguration {
return config;
}
@Bean
public RedisCacheManager redisCacheManager(RedisTemplate<String, Object> redisTemplate,
RedisCacheConfiguration redisCacheConfiguration) {
// 创建 RedisCacheWriter 对象
RedisConnectionFactory connectionFactory = Objects.requireNonNull(redisTemplate.getConnectionFactory());
RedisCacheWriter cacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(connectionFactory);
// 创建 TenantRedisCacheManager 对象
return new TimeoutRedisCacheManager(cacheWriter, redisCacheConfiguration);
}
}

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@ -1,5 +1,8 @@
package cn.iocoder.yudao.framework.redis.config;
import cn.hutool.core.util.ReflectUtil;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule;
import org.springframework.boot.autoconfigure.AutoConfiguration;
import org.springframework.context.annotation.Bean;
import org.springframework.data.redis.connection.RedisConnectionFactory;
@ -25,9 +28,17 @@ public class YudaoRedisAutoConfiguration {
template.setKeySerializer(RedisSerializer.string());
template.setHashKeySerializer(RedisSerializer.string());
// 使用 JSON 序列化方式(库是 Jackson ),序列化 VALUE 。
template.setValueSerializer(RedisSerializer.json());
template.setHashValueSerializer(RedisSerializer.json());
template.setValueSerializer(buildRedisSerializer());
template.setHashValueSerializer(buildRedisSerializer());
return template;
}
public static RedisSerializer<?> buildRedisSerializer() {
RedisSerializer<Object> json = RedisSerializer.json();
// 解决 LocalDateTime 的序列化
ObjectMapper objectMapper = (ObjectMapper) ReflectUtil.getFieldValue(json, "mapper");
objectMapper.registerModules(new JavaTimeModule());
return json;
}
}

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@ -0,0 +1,51 @@
package cn.iocoder.yudao.framework.redis.core;
import cn.hutool.core.util.StrUtil;
import org.springframework.boot.convert.DurationStyle;
import org.springframework.cache.annotation.Cacheable;
import org.springframework.data.redis.cache.RedisCache;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.cache.RedisCacheWriter;
import java.time.Duration;
import java.time.temporal.ChronoUnit;
/**
* 支持自定义过期时间的 {@link RedisCacheManager} 实现类
*
* 在 {@link Cacheable#cacheNames()} 格式为 "key#ttl" 时,# 后面的 ttl 为过期时间,单位为秒
*
* @author 芋道源码
*/
public class TimeoutRedisCacheManager extends RedisCacheManager {
private static final String SPLIT = "#";
public TimeoutRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration) {
super(cacheWriter, defaultCacheConfiguration);
}
@Override
protected RedisCache createRedisCache(String name, RedisCacheConfiguration cacheConfig) {
if (StrUtil.isEmpty(name)) {
return super.createRedisCache(name, cacheConfig);
}
// 如果使用 # 分隔,大小不为 2则说明不使用自定义过期时间
String[] names = StrUtil.splitToArray(name, SPLIT);
if (names.length != 2) {
return super.createRedisCache(name, cacheConfig);
}
// 核心:通过修改 cacheConfig 的过期时间,实现自定义过期时间
if (cacheConfig != null) {
// 移除 # 后面的 : 以及后面的内容,避免影响解析
names[1] = StrUtil.subBefore(names[1], StrUtil.COLON, false);
// 解析时间
Duration duration = DurationStyle.detectAndParse(names[1], ChronoUnit.SECONDS);
cacheConfig = cacheConfig.entryTtl(duration);
}
return super.createRedisCache(names[0], cacheConfig);
}
}