基于JetCache整合实现一级、二级缓存方案（方案实现）

<dependencies>
    <dependency>
        <groupId>${project.groupId}</groupId>
        <artifactId>cache-core</artifactId>
    </dependency>

    <dependency>
        <groupId>com.github.ben-manes.caffeine</groupId>
        <artifactId>caffeine</artifactId>
    </dependency>

    <dependency>
        <groupId>org.springframework</groupId>
        <artifactId>spring-context-support</artifactId>
    </dependency>
    </dependencies>

2.4 组件功能实现源码

2.4.1 CaffeineCacheManager扩展实现

package cn.kuafu.cloud.base.cache.caffeine.enhance;

import cn.kuafu.cloud.base.assistant.core.definition.constants.SymbolConstants;
import cn.kuafu.cloud.base.cache.core.properties.Expire;
import cn.kuafu.cloud.base.cache.core.properties.CacheProperties;
import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.Caffeine;
import org.apache.commons.collections4.MapUtils;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.cache.caffeine.CaffeineCacheManager;

import java.util.Map;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 12:11:55
 * @description 扩展的 CaffeineCacheManager
 * 用于支持 Caffeine 缓存可以针对实体进行单独的过期时间设定
 */
public class KuaFuCloudCaffeineCacheManager extends CaffeineCacheManager {
    private static final Logger log = LoggerFactory.getLogger(KuaFuCloudCaffeineCacheManager.class);

    private final CacheProperties cacheProperties;

    // 构造方法
    public KuaFuCloudCaffeineCacheManager(CacheProperties cacheProperties) {
        this.cacheProperties = cacheProperties;
        this.setAllowNullValues(cacheProperties.getAllowNullValues());
    }

    // 构造方法
    public KuaFuCloudCaffeineCacheManager(CacheProperties cacheProperties, String... cacheNames) {
        super(cacheNames);
        this.cacheProperties = cacheProperties;
        this.setAllowNullValues(cacheProperties.getAllowNullValues());
    }

    // 覆盖CaffeineCacheManager 的 createNativeCaffeineCache方法，实现Caffeine创建本地缓存方法
    // 主要支持Duration 过期时间配置
    @Override
    protected Cache<Object, Object> createNativeCaffeineCache(String name) {
        Map<String, Expire> expires = cacheProperties.getExpires();
        if (MapUtils.isNotEmpty(expires)) {
            String key = StringUtils.replace(name, SymbolConstants.COLON, cacheProperties.getSeparator());
            if(expires.containsKey(key)) {
                Expire expire = expires.get(key);
                log.debug("[KuaFuCloud-Base-Cache] |- CACHE - Caffeine cache [{}] is setted to use CUSTEM exprie.", name);
                return Caffeine.newBuilder().expireAfterWrite(expire.getDuration(), expire.getUnit()).build();
            }
        }

        return super.createNativeCaffeineCache(name);
    }
}

2.4.2 CaffeineConfiguration配置类实现

package cn.kuafu.cloud.base.cache.caffeine.configuration;

import cn.kuafu.cloud.base.cache.caffeine.enhance.KuaFuCloudCaffeineCacheManager;
import cn.kuafu.cloud.base.cache.core.properties.CacheProperties;
import com.github.benmanes.caffeine.cache.Caffeine;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.cache.caffeine.CaffeineCacheManager;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import javax.annotation.PostConstruct;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 14:15:20
 * @description Caffeine配置
 */
@Configuration(proxyBeanMethods = false)
public class CaffeineConfiguration {
    private static final Logger log = LoggerFactory.getLogger(CaffeineConfiguration.class);

    @Autowired
    private CacheProperties cacheProperties;

    @PostConstruct
    public void postConstruct() {
        log.debug("[KuaFuCloud-Base-Cache] |- SDK [Cache Caffeine] Auto Configure.");
    }

    // 注入 Caffeine缓存类
    @Bean
    public Caffeine<Object, Object> caffeine() {
        Caffeine<Object, Object> caffeine = Caffeine.newBuilder()
                .expireAfterWrite(cacheProperties.getDuration(), cacheProperties.getUnit());

        log.trace("[KuaFuCloud-Base-Cache] |- Bean [Caffeine] Auto Configure.");

        return caffeine;
    }

    // 注入 CaffeineCacheManager 类
    @Bean
    @ConditionalOnMissingBean(CaffeineCacheManager.class)
    public CaffeineCacheManager caffeineCacheManager(Caffeine<Object, Object> caffeine) {
        KuaFuCloudCaffeineCacheManager caffeineCacheManager = new KuaFuCloudCaffeineCacheManager(cacheProperties);
        caffeineCacheManager.setCaffeine(caffeine);
        log.trace("[KuaFuCloud-Base-Cache] |- Bean [Caffeine Cache Manager] Auto Configure.");
        return caffeineCacheManager;
    }
}

2.4.3 涉及其他组件的类

2.4.3.1 缓存过期时间通用属性类

package cn.kuafu.cloud.base.cache.core.properties;

import org.apache.commons.lang3.ObjectUtils;

import java.time.Duration;
import java.util.concurrent.TimeUnit;

/**
 * @author ningzhaosheng
 * @date 2022/5/12 22:00:42
 * @description 缓存过期时间通用属性
 */
public class Expire {
    /**
     * 统一缓存时长，默认：1
     */
    private Long duration = 1L;

    /**
     * 统一缓存时长单位，默认：小时。
     */
    private TimeUnit unit = TimeUnit.HOURS;

    /**
     * Redis缓存TTL设置，默认：1小时，单位小时
     * <p>
     * 使用Duration类型，配置参数形式如下：
     * "?ns" //纳秒
     * "?us" //微秒
     * "?ms" //毫秒
     * "?s" //秒
     * "?m" //分
     * "?h" //小时
     * "?d" //天
     */
    private Duration ttl;

    public Long getDuration() {
        return duration;
    }

    public void setDuration(Long duration) {
        this.duration = duration;
    }

    public TimeUnit getUnit() {
        return unit;
    }

    public void setUnit(TimeUnit unit) {
        this.unit = unit;
    }

    public Duration getTtl() {
        if (ObjectUtils.isEmpty(this.ttl)) {
            this.ttl = convertToDuration(this.duration, this.unit);
        }
        return ttl;
    }

    private Duration convertToDuration(Long duration, TimeUnit timeUnit) {
        switch (timeUnit) {
            case DAYS:
                return Duration.ofDays(duration);
            case HOURS:
                return Duration.ofHours(duration);
            case SECONDS:
                return Duration.ofSeconds(duration);
            default:
                return Duration.ofMinutes(duration);
        }
    }
}

2.4.3.2 缓存配置类

package cn.kuafu.cloud.base.cache.core.properties;

import cn.kuafu.cloud.base.cache.core.constants.CacheConstants;
import com.google.common.base.MoreObjects;
import org.springframework.boot.context.properties.ConfigurationProperties;

import java.util.HashMap;
import java.util.Map;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 11:55:06
 * @description 缓存配置属性
 */
@ConfigurationProperties(prefix = CacheConstants.PROPERTY_PREFIX_CACHE)
public class CacheProperties extends Expire {
    /**
     * 是否允许存储空值
     */
    private Boolean allowNullValues = true;

    /**
     * 缓存名称转换分割符。默认值，"-"
     * <p>
     * 默认缓存名称采用 Redis Key 格式（使用 ":" 分割），使用 ":" 分割的字符串作为Map的Key，":"会丢失。
     * 指定一个分隔符，用于 ":" 分割符的转换
     */
    private String separator = "-";

    /**
     * 针对不同实体单独设置的过期时间，如果不设置，则统一使用默认时间。
     */
    private Map<String, Expire> expires = new HashMap<>();

    public Boolean getAllowNullValues() {
        return allowNullValues;
    }

    public void setAllowNullValues(Boolean allowNullValues) {
        this.allowNullValues = allowNullValues;
    }

    public Map<String, Expire> getExpires() {
        return expires;
    }

    public void setExpires(Map<String, Expire> expires) {
        this.expires = expires;
    }

    public String getSeparator() {
        return separator;
    }

    public void setSeparator(String separator) {
        this.separator = separator;
    }

    @Override
    public String toString() {
        return MoreObjects.toStringHelper(this)
                .add("allowNullValues", allowNullValues)
                .add("separator", separator)
                .toString();
    }
}

三、Redis缓存实现

3.1 组件说明

封装成cache-redis-sdk组件。

1、该组件封装了Redis缓存的相关实现扩展，最终通过CacheRedisConfiguration配置启动。

2、基于Redis，实现SpringBoot Session共享，支持通过条件判断和注解形式选择是否开启session共享

3.2 组件结构图

3.3 组件Maven依赖

<dependencies>
        <dependency>
            <groupId>${project.groupId}</groupId>
            <artifactId>cache-core</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-redis-reactive</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.session</groupId>
            <artifactId>spring-session-data-redis</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
            <scope>compile</scope>
            <optional>true</optional>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-webflux</artifactId>
            <scope>compile</scope>
            <optional>true</optional>
        </dependency>
    </dependencies>

3.4 组件功能实现源码

3.4.1 实现Redis缓存功能

3.4.1.1 RedisCacheManager 类扩展实现

package cn.kuafu.cloud.base.cache.redis.enhance;

import cn.kuafu.cloud.base.assistant.core.definition.constants.SymbolConstants;
import cn.kuafu.cloud.base.cache.core.properties.Expire;
import cn.kuafu.cloud.base.cache.core.properties.CacheProperties;
import org.apache.commons.collections4.MapUtils;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
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.util.Map;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 12:07:49
 * @description 扩展的RedisCacheManager
 * 用于支持 Redis 缓存可以针对实体进行单独的过期时间设定
 */
public class KuaFuCloudRedisCacheManager extends RedisCacheManager {
    private static final Logger log = LoggerFactory.getLogger(KuaFuCloudRedisCacheManager.class);

    private CacheProperties cacheProperties;

    // 构造函数
    public KuaFuCloudRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration, CacheProperties cacheProperties) {
        super(cacheWriter, defaultCacheConfiguration);
        this.cacheProperties = cacheProperties;
    }

    // 构造函数
    public KuaFuCloudRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration, CacheProperties cacheProperties, String... initialCacheNames) {
        super(cacheWriter, defaultCacheConfiguration, initialCacheNames);
        this.cacheProperties = cacheProperties;
    }

    // 构造函数
    public KuaFuCloudRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration, boolean allowInFlightCacheCreation, CacheProperties cacheProperties, String... initialCacheNames) {
        super(cacheWriter, defaultCacheConfiguration, allowInFlightCacheCreation, initialCacheNames);
        this.cacheProperties = cacheProperties;
    }

    // 构造函数
    public KuaFuCloudRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration, Map<String, RedisCacheConfiguration> initialCacheConfigurations, CacheProperties cacheProperties) {
        super(cacheWriter, defaultCacheConfiguration, initialCacheConfigurations);
        this.cacheProperties = cacheProperties;
    }

    // 构造函数
    public KuaFuCloudRedisCacheManager(RedisCacheWriter cacheWriter, RedisCacheConfiguration defaultCacheConfiguration, Map<String, RedisCacheConfiguration> initialCacheConfigurations, boolean allowInFlightCacheCreation) {
        super(cacheWriter, defaultCacheConfiguration, initialCacheConfigurations, allowInFlightCacheCreation);
    }

     // 覆盖实现 RedisCacheManager 类的 createRedisCache方法，加入自定义缓存过期时间策略
    @Override
    protected RedisCache createRedisCache(String name, RedisCacheConfiguration cacheConfig) {
        Map<String, Expire> expires = cacheProperties.getExpires();
        if (MapUtils.isNotEmpty(expires)) {
            String key = StringUtils.replace(name, SymbolConstants.COLON, cacheProperties.getSeparator());
            if (expires.containsKey(key)) {
                Expire expire = expires.get(key);
                log.debug("[KuaFuCloud-Base-Cache] |- CACHE - Redis cache [{}] is setted to use CUSTEM exprie.", name);
                cacheConfig = cacheConfig.entryTtl(expire.getTtl());
            }
        }

        return super.createRedisCache(name, cacheConfig);
    }
}

3.4.1.2 RedisBitMapUtils工具类

package cn.kuafu.cloud.base.cache.redis.util;

import com.google.common.hash.Funnels;
import com.google.common.hash.Hashing;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.data.redis.connection.RedisStringCommands;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.stereotype.Component;

import java.nio.charset.StandardCharsets;

/**
 * @author ningzhaosheng
 * @date 2023/2/16 16:24:06
 * @description <p>Description: Redis BitMap 工具类 </p>
 * <p>
 * · Redis的Bitmaps这个“数据结构”可以实现对位的操作。Bitmaps本身不是一种数据结构，实际上就是字符串，但是它可以对字符串的位进行操作
 * · 可把Bitmaps想象成一个以位为单位数组，数组中的每个单元只能存0或者1，数组的下标在bitmaps中叫做偏移量
 * · 单个bitmaps的最大长度是512MB，即2^32个比特位
 * <p>
 * bitmaps的最大优势是节省存储空间。比如在一个以自增id代表不同用户的系统中，我们只需要512MB空间就可以记录40亿用户的某个单一信息，相比mysql节省了大量的空间
 * <p>
 * · 有两种类型的位操作：一类是对特定bit位的操作，比如设置/获取某个特定比特位的值。另一类是批量bit位操作，例如在给定范围内统计为1的比特位个数
 * <p>
 * 1.1 优点：
 * <p>
 * 节省空间：通过一个bit位来表示某个元素对应的值或者状态，其中key就是对应元素的值。实际上8个bit可以组成一个Byte，所以是及其节省空间的。
 * <p>
 * 效率高：setbit和getbit的时间复杂度都是O(1)，其他位运算效率也高。
 * <p>
 * 1.2 缺点：
 * 本质上位只有0和1的区别，所以用位做业务数据记录，就不需要在意value的值。
 * @see <a herf="https://www.jianshu.com/p/305e65de1b13"></a>
 */
@Component
public class RedisBitMapUtils {
    private static StringRedisTemplate stringRedisTemplate;

    @Autowired
    @Qualifier(value = "stringRedisTemplate")
    public void setStringRedisTemplate(StringRedisTemplate stringRedisTemplate) {
        RedisBitMapUtils.stringRedisTemplate = stringRedisTemplate;
    }

    /**
     * 计算 Hash 值
     *
     * @param key bitmap结构的key
     * @return Hash 值
     */
    private static long hash(String key) {
        return Math.abs(Hashing.murmur3_128().hashObject(key, Funnels.stringFunnel(StandardCharsets.UTF_8)).asInt());
    }


    /**
     * 设置与 param 对应的二进制位的值，{@param param}会经过hash计算进行存储。
     *
     * @param key   bitmap数据结构的key
     * @param param 要设置偏移的key，该key会经过hash运算。
     * @param value true：即该位设置为1，否则设置为0
     * @return 返回设置该value之前的值。
     */
    public static Boolean setBit(String key, String param, boolean value) {
        return stringRedisTemplate.opsForValue().setBit(key, hash(param), value);
    }

    /**
     * 查询与指定 param 对应二进制位的值，{@param param}会经过hash计算进行存储。
     *
     * @param key   bitmap结构的key
     * @param param 要移除偏移的key，该key会经过hash运算。
     * @return 若偏移位上的值为1，那么返回true。
     */
    public static boolean getBit(String key, String param) {
        return Boolean.TRUE.equals(stringRedisTemplate.opsForValue().getBit(key, hash(param)));
    }

    /**
     * 将指定offset偏移量的值设置为1；
     *
     * @param key    bitmap结构的key
     * @param offset 指定的偏移量。
     * @param value  true：即该位设置为1，否则设置为0
     * @return 返回设置该value之前的值。
     */
    public static Boolean setBit(String key, Long offset, boolean value) {
        return stringRedisTemplate.opsForValue().setBit(key, offset, value);
    }

    /**
     * 获取指定 offset 偏移量的值；
     *
     * @param key    bitmap结构的key
     * @param offset 指定的偏移量。
     * @return 若偏移位上的值为 1，那么返回true。
     */
    public static Boolean getBit(String key, long offset) {
        return stringRedisTemplate.opsForValue().getBit(key, offset);
    }

    /**
     * 统计对应的bitmap上value为1的数量
     *
     * @param key bitmap的key
     * @return value等于1的数量
     */
    public static Long bitCount(String key) {
        return stringRedisTemplate.execute((RedisCallback<Long>) connection -> connection.stringCommands().bitCount(key.getBytes(StandardCharsets.UTF_8)));
    }

    /**
     * 统计指定范围中value为1的数量
     *
     * @param key   bitMap中的key
     * @param start 该参数的单位是byte（1byte=8bit），{@code setBit(key,7,true);}进行存储时，单位是bit。那么只需要统计[0,1]便可以统计到上述set的值。
     * @param end   该参数的单位是byte。
     * @return 在指定范围[start*8,end*8]内所有value=1的数量
     */
    public static Long bitCount(String key, int start, int end) {
        return stringRedisTemplate.execute((RedisCallback<Long>) connection -> connection.stringCommands().bitCount(key.getBytes(), start, end));
    }

    /**
     * 对一个或多个保存二进制的字符串key进行元操作，并将结果保存到saveKey上。
     * <p>
     * bitop and saveKey key [key...]，对一个或多个key逻辑并，结果保存到saveKey。
     * bitop or saveKey key [key...]，对一个或多个key逻辑或，结果保存到saveKey。
     * bitop xor saveKey key [key...]，对一个或多个key逻辑异或，结果保存到saveKey。
     * bitop xor saveKey key，对一个或多个key逻辑非，结果保存到saveKey。
     * <p>
     *
     * @param op      元操作类型；
     * @param saveKey 元操作后将结果保存到saveKey所在的结构中。
     * @param destKey 需要进行元操作的类型。
     * @return 1：返回元操作值。
     */
    public static Long bitOp(RedisStringCommands.BitOperation op, String saveKey, String... destKey) {
        byte[][] bytes = new byte[destKey.length][];
        for (int i = 0; i < destKey.length; i++) {
            bytes[i] = destKey[i].getBytes();
        }
        return stringRedisTemplate.execute((RedisCallback<Long>) connection -> connection.stringCommands().bitOp(op, saveKey.getBytes(), bytes));
    }

    /**
     * 对一个或多个保存二进制的字符串key进行元操作，并将结果保存到saveKey上，并返回统计之后的结果。
     *
     * @param op      元操作类型；
     * @param saveKey 元操作后将结果保存到saveKey所在的结构中。
     * @param destKey 需要进行元操作的类型。
     * @return 返回saveKey结构上value=1的所有数量值。
     */
    public static Long bitOpResult(RedisStringCommands.BitOperation op, String saveKey, String... destKey) {
        bitOp(op, saveKey, destKey);
        return bitCount(saveKey);
    }
}

3.4.1.3 CacheRedisConfiguration 缓存配置类实现

package cn.kuafu.cloud.base.cache.redis.configuration;

import cn.kuafu.cloud.base.cache.core.properties.CacheProperties;
import cn.kuafu.cloud.base.cache.redis.enhance.KuaFuCloudRedisCacheManager;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.ComponentScan;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Import;
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.core.StringRedisTemplate;
import org.springframework.data.redis.listener.RedisMessageListenerContainer;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;

import javax.annotation.PostConstruct;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 14:26:19
 * @description Redis缓存配置
 */
@Configuration(proxyBeanMethods = false)
@Import(RedisSessionSharingConfiguration.class)
public class CacheRedisConfiguration {
    private static final Logger log = LoggerFactory.getLogger(CacheRedisConfiguration.class);

    @PostConstruct
    public void postConstruct() {
        log.debug("[KuaFuCloud-Base-Cache] |- SDK [Cache Redis] Auto Configure.");
    }

    private RedisSerializer<String> keySerializer() {
        return new StringRedisSerializer();
    }

    private RedisSerializer<Object> valueSerializer() {
        return new Jackson2JsonRedisSerializer<>(Object.class);
    }

    /**
     * 重新配置一个RedisTemplate
     *
     * @return {@link RedisTemplate}
     */
    @Bean(name = "redisTemplate")
    @ConditionalOnMissingBean
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate<Object, Object> redisTemplate = new RedisTemplate<>();
        redisTemplate.setConnectionFactory(redisConnectionFactory);
        redisTemplate.setKeySerializer(keySerializer());
        redisTemplate.setHashKeySerializer(keySerializer());
        redisTemplate.setValueSerializer(valueSerializer());
        redisTemplate.setHashValueSerializer(valueSerializer());
        redisTemplate.setDefaultSerializer(valueSerializer());
        redisTemplate.afterPropertiesSet();

        log.trace("[KuaFuCloud-Base-Cache] |- Bean [Redis Template] Auto Configure.");

        return redisTemplate;
    }

    // 注入一个 StringRedisTemplate 
    @Bean(name = "stringRedisTemplate")
    @ConditionalOnMissingBean
    public StringRedisTemplate stringRedisTemplate(RedisConnectionFactory redisConnectionFactory) {
        StringRedisTemplate stringRedisTemplate = new StringRedisTemplate();
        stringRedisTemplate.setConnectionFactory(redisConnectionFactory);
        stringRedisTemplate.afterPropertiesSet();

        log.trace("[KuaFuCloud-Base-Cache] |- Bean [String Redis Template] Auto Configure.");

        return stringRedisTemplate;
    }

    // 注入一个Redis 消息的核心监听容器
    @Bean
    public RedisMessageListenerContainer redisMessageListenerContainer(RedisConnectionFactory connectionFactory) {
        RedisMessageListenerContainer container = new RedisMessageListenerContainer();
        container.setConnectionFactory(connectionFactory);
        log.trace("[KuaFuCloud-Base-Cache] |- Bean [Redis Message Listener Container] Auto Configure.");
        return container;
    }

    //  注入Redis 缓存管理类
    @Bean
    public RedisCacheManager redisCacheManager(RedisConnectionFactory redisConnectionFactory, CacheProperties cacheProperties) {
        RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory);

        // 注意：这里 RedisCacheConfiguration 每一个方法调用之后，都会返回一个新的 RedisCacheConfiguration 对象，所以要注意对象的引用关系。
        RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig().entryTtl(cacheProperties.getTtl());

        boolean allowNullValues = cacheProperties.getAllowNullValues();
        if (!allowNullValues) {
            // 注意：这里 RedisCacheConfiguration 每一个方法调用之后，都会返回一个新的 RedisCacheConfiguration 对象，所以要注意对象的引用关系。
            redisCacheConfiguration = redisCacheConfiguration.disableCachingNullValues();
        }

        KuaFuCloudRedisCacheManager kuaFuCloudRedisCacheManager = new KuaFuCloudRedisCacheManager(redisCacheWriter, redisCacheConfiguration, cacheProperties);
        kuaFuCloudRedisCacheManager.setTransactionAware(false);
        kuaFuCloudRedisCacheManager.afterPropertiesSet();
        log.trace("[KuaFuCloud-Base-Cache] |- Bean [Redis Cache Manager] Auto Configure.");
        return kuaFuCloudRedisCacheManager;
    }

   // 扫描 RedisBitMapUtils 工具类
    @Configuration(proxyBeanMethods = false)
    @ComponentScan({
            "cn.kuafu.cloud.base.cache.redis.util"
    })
    static class RedisUtilsConfiguration {

        @PostConstruct
        public void postConstruct() {
            log.debug("[KuaFuCloud-Base-Cache] |- SDK [Cache Redis Utils] Auto Configure.");
        }
    }
}

3.4.1.4 EnableKuaFuCloudRedis Redis启动注解

package cn.kuafu.cloud.base.cache.redis.annotation;

import cn.kuafu.cloud.base.cache.redis.configuration.CacheRedisConfiguration;
import org.springframework.context.annotation.Import;

import java.lang.annotation.*;

/**
 * @author ningzhaosheng
 * @date 2023/2/16 16:12:04
 * @description 开启平台Redis
 */
@Target(ElementType.TYPE)
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Import(CacheRedisConfiguration.class)
public @interface EnableKuaFuCloudRedis {
}

3.4.2 实现Spring Session的Redis缓存

在Web应用中，Session是一种用来存储用户状态信息的机制。用户通过登录认证后，服务器会为每个用户生成一个唯一的Session ID，并将这个Session ID与用户的状态信息关联起来，然后将Session ID返回给客户端保存在Cookie中。客户端在后续的请求中通过Cookie将Session ID发送给服务器，服务器根据Session ID找到对应的用户状态信息。

通常情况下，每个Web应用都会有自己的Session管理机制，这意味着不同的应用之间的Session是相互隔离的。但在某些场景下，我们希望多个Web应用之间可以实现Session共享，即一个Web应用生成的Session可以在另一个Web应用中被识别和使用。这样可以实现用户在不同的应用之间的无缝切换，提升用户体验。

Spring Session通过替换底层的HttpSession实现类，将Session存储到Redis中。具体而言，当用户访问Spring Boot应用时，Spring Session会将生成的Session ID写入Cookie，然后将Session的状态信息存储到Redis中。当用户发送后续的请求时，Spring Session会根据Cookie中的Session ID从Redis中读取Session的状态信息，并将其保存在HttpSession对象中，供应用程序使用。

3.4.2.1 HttpSessionIdResolver SessionId 解析类扩展

package cn.kuafu.cloud.base.cache.redis.session;

import org.apache.commons.collections4.CollectionUtils;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.session.web.http.CookieHttpSessionIdResolver;
import org.springframework.session.web.http.CookieSerializer;
import org.springframework.session.web.http.DefaultCookieSerializer;
import org.springframework.session.web.http.HttpSessionIdResolver;

import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import java.util.Collections;
import java.util.List;

/**
 * @author ningzhaosheng
 * @date 2023/2/16 16:28:03
 * @description 扩展的 HttpSessionIdResolver, 以同时支持页面和接口的 Session 共享
 */
public class KuaFuCloudHttpSessionIdResolver implements HttpSessionIdResolver {
    private static final Logger log = LoggerFactory.getLogger(KuaFuCloudHttpSessionIdResolver.class);

    private static final String WRITTEN_SESSION_ID_ATTR = CookieHttpSessionIdResolver.class.getName()
            .concat(".WRITTEN_SESSION_ID_ATTR");

    private final String headerName;
    private CookieSerializer cookieSerializer = new DefaultCookieSerializer();

    /**
     * 构造函数
     *
     * @param headerName
     */
    public KuaFuCloudHttpSessionIdResolver(String headerName) {
        if (StringUtils.isBlank(headerName)) {
            throw new IllegalArgumentException("headerName cannot be null");
        }
        this.headerName = headerName;
    }

    private String resolveHeaderSessionId(HttpServletRequest request) {
        String headerValue = request.getHeader(this.headerName);
        if (StringUtils.isNotBlank(headerValue)) {
            log.debug("[KuaFuCloud-Base-Cache] |- Resolve http session id [{}] from header in request [{}]", headerValue, request.getRequestURI());
            return headerValue;
        }
        return null;
    }

    private List<String> resolveHeaderSessionIds(HttpServletRequest request) {
        String id = resolveHeaderSessionId(request);
        return StringUtils.isNotBlank(id) ? Collections.singletonList(id) : Collections.emptyList();
    }

    /**
     * 解析与当前请求相关联的sessionId。sessionId可能来自Cookie或请求头。
     * 实现该方法，替换Cookies序列化方式
     *
     * @param request
     * @return
     */
    @Override
    public List<String> resolveSessionIds(HttpServletRequest request) {

        List<String> idsInHeader = resolveHeaderSessionIds(request);
        if (CollectionUtils.isNotEmpty(idsInHeader)) {
            return idsInHeader;
        } else {
            return this.cookieSerializer.readCookieValues(request);
        }
    }

    private void changeSessionId(HttpServletRequest request, HttpServletResponse response, String sessionId) {
        this.cookieSerializer.writeCookieValue(new CookieSerializer.CookieValue(request, response, sessionId));
        response.setHeader(this.headerName, sessionId);
    }

    /**
     * 将给定的sessionId发送给客户端。
     * 这个方法是在创建一个新session时被调用，并告知客户端新sessionId是什么。
     *
     * @param request
     * @param response
     * @param sessionId
     */
    @Override
    public void setSessionId(HttpServletRequest request, HttpServletResponse response, String sessionId) {

        if (sessionId.equals(request.getAttribute(WRITTEN_SESSION_ID_ATTR))) {
            return;
        }


        String id = sessionId;
        String kuafuCloudSessionId = resolveHeaderSessionId(request);
        if (StringUtils.isNotBlank(kuafuCloudSessionId)) {
            id = kuafuCloudSessionId;
        }

        request.setAttribute(WRITTEN_SESSION_ID_ATTR, id);
        changeSessionId(request, response, id);
    }

    /**
     * 指示客户端结束当前session。当session无效时调用此方法，并
     * 应通知客户端sessionId不再有效。比如，它可能删除一个包含sessionId的Cookie，
     * 或者设置一个HTTP响应头，其值为空就表示客户端不再提交sessionId
     *
     * @param request
     * @param response
     */
    @Override
    public void expireSession(HttpServletRequest request, HttpServletResponse response) {
        changeSessionId(request, response, "");
    }

    /**
     * Sets the {@link CookieSerializer} to be used.
     *
     * @param cookieSerializer the cookieSerializer to set. Cannot be null.
     */
    public void setCookieSerializer(CookieSerializer cookieSerializer) {
        if (cookieSerializer == null) {
            throw new IllegalArgumentException("cookieSerializer cannot be null");
        }
        this.cookieSerializer = cookieSerializer;
    }
}

3.4.2.2 RedisSessionSharingConfiguration 启动配置类

package cn.kuafu.cloud.base.cache.redis.configuration;

import cn.kuafu.cloud.base.cache.redis.annotation.ConditionalOnRedisSessionSharing;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.boot.autoconfigure.condition.ConditionalOnWebApplication;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.session.FlushMode;
import org.springframework.session.data.redis.config.annotation.web.http.EnableRedisHttpSession;
import org.springframework.session.web.http.CookieSerializer;
import org.springframework.session.web.http.DefaultCookieSerializer;

import javax.annotation.PostConstruct;

/**
 * @author ningzhaosheng
 * @date 2022/6/11 18:18:35
 * @description 基于 Redis 的 Session 共享配置，
 * @EnableRedisHttpSession 注解开启SpringBoot Session
 * @ConditionalOnRedisSessionSharing 自定义条件注解，满足条件该配置类才启动加载
 */
@Configuration(proxyBeanMethods = false)
@ConditionalOnRedisSessionSharing
public class RedisSessionSharingConfiguration {
    private static final Logger log = LoggerFactory.getLogger(RedisSessionSharingConfiguration.class);

    @PostConstruct
    public void postConstruct() {
        log.debug("[KuaFuCloud-Base-Cache] |- SDK [Cache Redis Session Sharing] Auto Configure.");
    }


    @Configuration(proxyBeanMethods = false)
    @ConditionalOnWebApplication(type = ConditionalOnWebApplication.Type.SERVLET)
    @EnableRedisHttpSession(flushMode = FlushMode.IMMEDIATE)
    static class KuaFuCloudRedisHttpSessionConfiguration {
        /**
         *  注入CookieSerializer 实现Cookies 序列化
         * @return
         */
        @Bean
        public CookieSerializer cookieSerializer() {
            DefaultCookieSerializer cookieSerializer = new DefaultCookieSerializer();
            cookieSerializer.setUseHttpOnlyCookie(false);
            cookieSerializer.setSameSite(null);
            cookieSerializer.setCookiePath("/");
            cookieSerializer.setDomainNamePattern("^.+?\\.(\\w+\\.[a-z]+)$");
            log.trace("[KuaFuCloud-Base-Cache] |- Bean [Cookie Serializer] Auto Configure.");
            return cookieSerializer;
        }
    }
}

3.4.2.3 注解生效条件类RedisSessionSharingCondition

package cn.kuafu.cloud.base.cache.redis.condition;

import cn.kuafu.cloud.base.assistant.core.context.PropertyFinder;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.context.annotation.Condition;
import org.springframework.context.annotation.ConditionContext;
import org.springframework.core.type.AnnotatedTypeMetadata;

/**
 * @author ningzhaosheng
 * @date 2022/6/11 18:16:11
 * @description 开启基于 Redis 的 Session 共享条件
 */
public class RedisSessionSharingCondition implements Condition {
    private static final Logger log = LoggerFactory.getLogger(RedisSessionSharingCondition.class);

    @SuppressWarnings("NullableProblems")
    @Override
    public boolean matches(ConditionContext conditionContext, AnnotatedTypeMetadata annotatedTypeMetadata) {
        String property = PropertyFinder.getSessionStoreType(conditionContext.getEnvironment());
        boolean result = StringUtils.isNotBlank(property) && StringUtils.equalsIgnoreCase(property, "redis");
        log.debug("[KuaFuCloud-Base-Cache] |- Condition [Redis Session Sharing] value is [{}]", result);
        return result;
    }
}

3.4.2.4 ConditionalOnRedisSessionSharing 注解类

package cn.kuafu.cloud.base.cache.redis.annotation;

import cn.kuafu.cloud.base.cache.redis.condition.RedisSessionSharingCondition;
import org.springframework.context.annotation.Conditional;

import java.lang.annotation.*;

/**
 * @author ningzhaosheng
 * @date 2022/6/11 18:15:21
 * @description 基于 Redis Session 共享条件注解
 */
@Target({ElementType.TYPE, ElementType.METHOD})
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Conditional(RedisSessionSharingCondition.class)
public @interface ConditionalOnRedisSessionSharing {
}

四、JetCache缓存框架整合

4.1 组件说明

封装成cache-jetcache-sdk组件。

1、集成Caffeine一级缓存

2、集成Redis二级缓存

3、扩展Spring Cache 缓存

4、扩展Mybatis 二级缓存

5、Stamp 签章缓存支持

4.2 组件结构图

4.3 组件Maven依赖

<dependencies>
        <dependency>
            <groupId>${project.groupId}</groupId>
            <artifactId>assistant-spring-boot-starter</artifactId>
        </dependency>

        <dependency>
            <groupId>${project.groupId}</groupId>
            <artifactId>cache-core</artifactId>
        </dependency>
        <dependency>
            <groupId>${project.groupId}</groupId>
            <artifactId>cache-redis-sdk</artifactId>
        </dependency>

        <dependency>
            <groupId>${project.groupId}</groupId>
            <artifactId>cache-caffeine-sdk</artifactId>
        </dependency>

        <dependency>
            <groupId>com.alicp.jetcache</groupId>
            <artifactId>jetcache-starter-redis-lettuce</artifactId>
        </dependency>

        <dependency>
            <groupId>org.mybatis</groupId>
            <artifactId>mybatis</artifactId>
            <scope>compile</scope>
            <optional>true</optional>
        </dependency>
    </dependencies>

4.4 组件功能实现源码

4.4.1 Mybatis二级缓存扩展

4.4.1.1 ExtMybatisCache 实现类

package cn.kuafu.cloud.base.cache.jetcache.enhance;

import cn.hutool.extra.spring.SpringUtil;
import org.apache.ibatis.cache.Cache;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.concurrent.atomic.AtomicInteger;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 9:57:24
 * @description 扩展的Mybatis二级缓存
 */
public class ExtMybatisCache implements Cache {

    private static final Logger log = LoggerFactory.getLogger(ExtMybatisCache.class);

    private final String id;
    private final com.alicp.jetcache.Cache<Object, Object> cache;
    private final AtomicInteger counter = new AtomicInteger(0);

    public ExtMybatisCache(String id) {
        this.id = id;
        JetCacheCreateCacheFactory jetCacheCreateCacheFactory = SpringUtil.getBean("jetCacheCreateCacheFactory");
        this.cache = jetCacheCreateCacheFactory.create(this.id);
    }

    /**
     * 获取缓存对象标识
     * @return
     */
    @Override
    public String getId() {
        return this.id;
    }

    /**
     * 往缓存中放数据
     * @param key
     * @param value
     */
    @Override
    public void putObject(Object key, Object value) {
        cache.put(key, value);
        counter.incrementAndGet();
        log.debug("[KuaFuCloud-Base-Cache] |- CACHE - Put data into Mybatis Cache, with key: [{}]", key);
    }

    /**
     * 获取缓存数据
     * @param key
     * @return
     */
    @Override
    public Object getObject(Object key) {
        Object obj = cache.get(key);
        log.debug("[KuaFuCloud-Base-Cache] |- CACHE - Get data from Mybatis Cache, with key: [{}]", key);
        return obj;
    }

    /**
     * 删除缓存数据
     * @param key
     * @return
     */
    @Override
    public Object removeObject(Object key) {
        Object obj = cache.remove(key);
        counter.decrementAndGet();
        log.debug("[KuaFuCloud-Base-Cache] |- CACHE - Remove data from Mybatis Cache, with key: [{}]", key);
        return obj;
    }

    /**
     * 清空缓存数据
     */
    @Override
    public void clear() {
        cache.close();
        log.debug("[KuaFuCloud-Base-Cache] |- CACHE - Clear Mybatis Cache.");
    }

    /**
     * 获取缓存数据的数量
     * @return
     */
    @Override
    public int getSize() {
        return counter.get();
    }
}

4.4.2 Spring Cache缓存扩展

4.4.2.1 JetCache缓存工厂类JetCacheCreateCacheFactory

package cn.kuafu.cloud.base.cache.jetcache.enhance;

import com.alicp.jetcache.Cache;
import com.alicp.jetcache.CacheManager;
import com.alicp.jetcache.anno.CacheType;
import com.alicp.jetcache.template.QuickConfig;
import org.apache.commons.lang3.BooleanUtils;
import org.apache.commons.lang3.ObjectUtils;
import org.apache.commons.lang3.StringUtils;

import java.time.Duration;

/**
 * @author ningzhaosheng
 * @date 2022/8/23 16:58:02
 * @description JetCache 手动创建Cache 工厂
 */
public class JetCacheCreateCacheFactory {
    private final CacheManager cacheManager;

    public JetCacheCreateCacheFactory(CacheManager cacheManager) {
        this.cacheManager = cacheManager;
    }

    public <K, V> Cache<K, V> create(String name) {
        return create(name, Duration.ofHours(2L));
    }

    public <K, V> Cache<K, V> create(String name, Duration expire) {
        return create(name, expire, true);
    }

    public <K, V> Cache<K, V> create(String name, Duration expire, Boolean cacheNullValue) {
        return create(name, expire, cacheNullValue, null);
    }

    public <K, V> Cache<K, V> create(String name, Duration expire, Boolean cacheNullValue, Boolean syncLocal) {
        return create(name, CacheType.BOTH, expire, cacheNullValue, syncLocal);
    }

    public <K, V> Cache<K, V> create(String name, CacheType cacheType) {
        return create(name, cacheType, null);
    }

    public <K, V> Cache<K, V> create(String name, CacheType cacheType, Duration expire) {
        return create(name, cacheType, expire, true);
    }

    public <K, V> Cache<K, V> create(String name, CacheType cacheType, Duration expire, Boolean cacheNullValue) {
        return create(name, cacheType, expire, cacheNullValue, null);
    }

    public <K, V> Cache<K, V> create(String name, CacheType cacheType, Duration expire, Boolean cacheNullValue, Boolean syncLocal) {
        return create(null, name, cacheType, expire, cacheNullValue, syncLocal);
    }

    public <K, V> Cache<K, V> create(String area, String name, CacheType cacheType, Duration expire, Boolean cacheNullValue, Boolean syncLocal) {
        return create(area, name, cacheType, expire, cacheNullValue, syncLocal, null);
    }

    public <K, V> Cache<K, V> create(String area, String name, CacheType cacheType, Duration expire, Boolean cacheNullValue, Boolean syncLocal, Duration localExpire) {
        return create(area, name, cacheType, expire, cacheNullValue, syncLocal, localExpire, null);
    }

    public <K, V> Cache<K, V> create(String area, String name, CacheType cacheType, Duration expire, Boolean cacheNullValue, Boolean syncLocal, Duration localExpire, Integer localLimit) {
        return create(area, name, cacheType, expire, cacheNullValue, syncLocal, localExpire, localLimit, false);
    }

    public <K, V> Cache<K, V> create(String area, String name, CacheType cacheType, Duration expire, Boolean cacheNullValue, Boolean syncLocal, Duration localExpire, Integer localLimit, Boolean useAreaInPrefix) {
        return create(area, name, cacheType, expire, cacheNullValue, syncLocal, localExpire, localLimit, useAreaInPrefix, false, null);
    }

    public <K, V> Cache<K, V> create(String area, String name, CacheType cacheType, Duration expire, Boolean cacheNullValue, Boolean syncLocal, Duration localExpire, Integer localLimit, Boolean useAreaInPrefix, Boolean penetrationProtect, Duration penetrationProtectTimeout) {
        QuickConfig.Builder builder = StringUtils.isEmpty(area) ? QuickConfig.newBuilder(name) : QuickConfig.newBuilder(area, name);
        builder.cacheType(cacheType);
        builder.expire(expire);
        if (cacheType == CacheType.BOTH) {
            builder.syncLocal(syncLocal);
        }
        builder.localExpire(localExpire);
        builder.localLimit(localLimit);
        builder.cacheNullValue(cacheNullValue);
        builder.useAreaInPrefix(useAreaInPrefix);
        if (ObjectUtils.isNotEmpty(penetrationProtect)) {
            builder.penetrationProtect(penetrationProtect);
            if (BooleanUtils.isTrue(penetrationProtect) && ObjectUtils.isNotEmpty(penetrationProtectTimeout)) {
                builder.penetrationProtectTimeout(penetrationProtectTimeout);
            }
        }

        QuickConfig quickConfig = builder.build();
        return create(quickConfig);
    }


    @SuppressWarnings("unchecked")
    private <K, V> Cache<K, V> create(QuickConfig quickConfig) {
        return cacheManager.getOrCreateCache(quickConfig);
    }
}

4.4.2.2 Spring Cache扩展实现类JetCacheSpringCache

package cn.kuafu.cloud.base.cache.jetcache.enhance;

import cn.hutool.crypto.SecureUtil;
import cn.kuafu.cloud.base.assistant.core.json.jackson2.utils.JacksonUtils;
import com.alicp.jetcache.Cache;
import org.apache.commons.lang3.ObjectUtils;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.cache.support.AbstractValueAdaptingCache;
import org.springframework.lang.Nullable;

import java.util.concurrent.Callable;

/**
 * @author ningzhaosheng
 * @date 2022/8/23 16:54:36
 * @description 基于 JetCache 的 Spring Cache 扩展
 */
public class JetCacheSpringCache extends AbstractValueAdaptingCache {
    private static final Logger log = LoggerFactory.getLogger(JetCacheSpringCache.class);

    private final String cacheName;
    private final Cache<Object, Object> cache;

    public JetCacheSpringCache(String cacheName, Cache<Object, Object> cache, boolean allowNullValues) {
        super(allowNullValues);
        this.cacheName = cacheName;
        this.cache = cache;
    }


    @Override
    public String getName() {
        return this.cacheName;
    }

    @Override
    public final Cache<Object, Object> getNativeCache() {
        return this.cache;
    }

    @Override
    @Nullable
    protected Object lookup(Object key) {
        Object value = cache.get(key);
        if (ObjectUtils.isNotEmpty(value)) {
            log.trace("[KuaFuCloud-Base-Cache] |- CACHE - Lookup data in KuaFuCloud-Base-Cache cache, value is : [{}]", JacksonUtils.toJson(value));
            return value;
        }

        return null;
    }

    @SuppressWarnings("unchecked")
    @Override
    @Nullable
    public <T> T get(Object key, Callable<T> valueLoader) {
        log.trace("[KuaFuCloud-Base-Cache] |- CACHE - Get data in KuaFuCloud-Base-Cache cache, key: {}", key);

        return (T) fromStoreValue(cache.computeIfAbsent(key, k -> {
            try {
                return toStoreValue(valueLoader.call());
            } catch (Throwable ex) {
                throw new ValueRetrievalException(key, valueLoader, ex);
            }
        }));
    }

    @Override
    @Nullable
    public void put(Object key, @Nullable Object value) {
        log.trace("[KuaFuCloud-Base-Cache] |- CACHE - Put data in KuaFuCloud-Base-Cache cache, key: {}", key);
        cache.put(key, this.toStoreValue(value));
    }


    @Override
    @Nullable
    public ValueWrapper putIfAbsent(Object key, @Nullable Object value) {
        log.trace("[KuaFuCloud-Base-Cache] |- CACHE - PutIfPresent data in KuaFuCloud-Base-Cache cache, key: {}", key);
        Object existing = cache.putIfAbsent(key, toStoreValue(value));
        return toValueWrapper(existing);
    }

    @Override
    public void evict(Object key) {
        log.trace("[KuaFuCloud-Base-Cache] |- CACHE - Evict data in KuaFuCloud-Base-Cache cache, key: {}", key);
        cache.remove(key);
    }

    @Override
    public boolean evictIfPresent(Object key) {
        log.trace("[KuaFuCloud-Base-Cache] |- CACHE - EvictIfPresent data in KuaFuCloud-Base-Cache cache, key: {}", key);
        return cache.remove(key);
    }

    @Override
    public void clear() {
        log.trace("[KuaFuCloud-Base-Cache] |- CACHE - Clear data in KuaFuCloud-Base-Cache cache.");
        cache.close();
    }
}

4.4.2.3 Spring CacheManager扩展实现类JetCacheSpringCacheManager

package cn.kuafu.cloud.base.cache.jetcache.enhance;

import cn.kuafu.cloud.base.assistant.core.definition.constants.SymbolConstants;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.cache.Cache;
import org.springframework.cache.CacheManager;
import org.springframework.lang.Nullable;

import java.time.Duration;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

/**
 * @author ningzhaosheng
 * @date 2022/8/23 17:01:32
 * @description 基于 JetCache 的 Spring Cache Manager 扩展
 */
public class JetCacheSpringCacheManager implements CacheManager {
    private static final Logger log = LoggerFactory.getLogger(JetCacheSpringCacheManager.class);

    private boolean dynamic = true;
    private boolean allowNullValues = true;

    private final Map<String, Cache> cacheMap = new ConcurrentHashMap<>(16);

    private final JetCacheCreateCacheFactory jetCacheCreateCacheFactory;

    public JetCacheSpringCacheManager(JetCacheCreateCacheFactory jetCacheCreateCacheFactory) {
        this.jetCacheCreateCacheFactory = jetCacheCreateCacheFactory;
    }

    public JetCacheSpringCacheManager(JetCacheCreateCacheFactory jetCacheCreateCacheFactory, String... cacheNames) {
        this.jetCacheCreateCacheFactory = jetCacheCreateCacheFactory;
        setCacheNames(Arrays.asList(cacheNames));
    }

    public void setAllowNullValues(boolean allowNullValues) {
        this.allowNullValues = allowNullValues;
    }


    public boolean isAllowNullValues() {
        return allowNullValues;
    }


    private void setCacheNames(@Nullable Collection<String> cacheNames) {
        if (cacheNames != null) {
            for (String name : cacheNames) {
                this.cacheMap.put(name, createJetCache(name));
            }
            this.dynamic = false;
        } else {
            this.dynamic = true;
        }
    }

    protected Cache createJetCache(String name) {
        com.alicp.jetcache.Cache<Object, Object> cache = jetCacheCreateCacheFactory.create(name);
        log.debug("[KuaFuCloud-Base-Cache] |- CACHE - KuaFuCloud cache [{}] is CREATED.", name);
        return new JetCacheSpringCache(name, cache, allowNullValues);
    }

    protected Cache createJetCache(String name, Duration expire) {
        com.alicp.jetcache.Cache<Object, Object> cache = jetCacheCreateCacheFactory.create(name, expire, allowNullValues, true);
        log.debug("[KuaFuCloud-Base-Cache] |- CACHE - KuaFuCloud cache [{}] with expire is CREATED.", name);
        return new JetCacheSpringCache(name, cache, allowNullValues);
    }

    private String availableCacheName(String name) {
        if (StringUtils.endsWith(name, SymbolConstants.COLON)) {
            return name;
        } else {
            return name + SymbolConstants.COLON;
        }
    }


    @Override
    @Nullable
    public Cache getCache(String name) {
        String usedName = availableCacheName(name);
        return this.cacheMap.computeIfAbsent(usedName, cacheName ->
                this.dynamic ? createJetCache(cacheName) : null);
    }

    @Override
    public Collection<String> getCacheNames() {
        return Collections.unmodifiableSet(this.cacheMap.keySet());
    }
}

4.4.2.4 自定义缓存管理类KuaFuCloudCacheManager

package cn.kuafu.cloud.base.cache.jetcache.enhance;

import cn.kuafu.cloud.base.assistant.core.definition.constants.SymbolConstants;
import cn.kuafu.cloud.base.cache.core.properties.CacheProperties;
import cn.kuafu.cloud.base.cache.core.properties.Expire;
import org.apache.commons.collections4.MapUtils;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.cache.Cache;

import java.util.Map;

/**
 * @author ningzhaosheng
 * @date 2022/8/23 16:59:23
 * @description 自定义 缓存管理器
 */
public class KuaFuCloudCacheManager extends JetCacheSpringCacheManager {
    private static final Logger log = LoggerFactory.getLogger(KuaFuCloudCacheManager.class);

    private final CacheProperties cacheProperties;

    public KuaFuCloudCacheManager(JetCacheCreateCacheFactory jetCacheCreateCacheFactory, CacheProperties cacheProperties) {
        super(jetCacheCreateCacheFactory);
        this.cacheProperties = cacheProperties;
        this.setAllowNullValues(cacheProperties.getAllowNullValues());
    }

    public KuaFuCloudCacheManager(JetCacheCreateCacheFactory jetCacheCreateCacheFactory, CacheProperties cacheProperties, String... cacheNames) {
        super(jetCacheCreateCacheFactory, cacheNames);
        this.cacheProperties = cacheProperties;
    }

    /**
     * 覆盖createJetCache 方法，加入过期时间策略
     * @param name
     * @return
     */
    @Override
    protected Cache createJetCache(String name) {
        Map<String, Expire> expires = cacheProperties.getExpires();
        if (MapUtils.isNotEmpty(expires)) {
            String key = StringUtils.replace(name, SymbolConstants.COLON, cacheProperties.getSeparator());
            if (expires.containsKey(key)) {
                Expire expire = expires.get(key);
                log.debug("[KuaFuCloud-Base-Cache] |- CACHE - Cache [{}] is set to use CUSTOM expire.", name);
                return super.createJetCache(name, expire.getTtl());
            }
        }
        return super.createJetCache(name);
    }
}

4.4.3 Stamp 缓存签章接口封装

4.4.3.1 StampManager 缓存签章接口

package cn.kuafu.cloud.base.cache.jetcache.stamp;

import cn.kuafu.cloud.base.cache.core.exception.StampDeleteFailedException;
import cn.kuafu.cloud.base.cache.core.exception.StampHasExpiredException;
import cn.kuafu.cloud.base.cache.core.exception.StampMismatchException;
import cn.kuafu.cloud.base.cache.core.exception.StampParameterIllegalException;
import com.alicp.jetcache.AutoReleaseLock;
import org.apache.commons.lang3.ObjectUtils;
import org.springframework.beans.factory.InitializingBean;

import java.time.Duration;
import java.util.concurrent.TimeUnit;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 10:14:28
 * @description Stamp 服务接口
 * 此Stamp非OAuth2 Stamp。而是用于在特定条件下生成后，在一定时间就会消除的标记性Stamp。
 * 例如，幂等、短信验证码、Auth State等，用时生成，然后进行验证，之后再删除的标记Stamp。
 * @param <K> 签章缓存对应Key值的类型。
 * @param <V> 签章缓存存储数据，对应的具体存储值的类型，
 */
public interface StampManager<K,V> extends InitializingBean {
    /**
     * 过期时间
     *
     * @return {@link Duration}
     */
    Duration getExpire();

    /**
     * 保存与Key对应的Stamp签章值
     *
     * @param key              存储Key
     * @param value            与Key对应的Stamp
     * @param expireAfterWrite 过期时间
     * @param timeUnit         过期时间单位
     */
    void put(K key, V value, long expireAfterWrite, TimeUnit timeUnit);

    /**
     * 保存与Key对应的Stamp签章值
     *
     * @param key    存储Key
     * @param value  与Key对应的Stamp值
     * @param expire 过期时间{@link Duration}
     */
    default void put(K key, V value, Duration expire) {
        put(key, value, expire.toMillis(), TimeUnit.MILLISECONDS);
    }

    /**
     * 保存与Key对应的Stamp签章值
     *
     * @param key   存储Key
     * @param value 与Key对应的Stamp值
     */
    default void put(K key, V value) {
        put(key, value, getExpire());
    }

    /**
     * 生成缓存值策略方法，该方法负责生成具体存储的值。
     *
     * @param key 签章存储Key值
     * @return {@link String}
     */
    V nextStamp(K key);

    /**
     * 创建具体的Stamp签章值，并存储至本地缓存
     *
     * @param key              签章存储Key值
     * @param expireAfterWrite 写入之后过期时间。注意：该值每次写入都会覆盖。如果有一个时间周期内的反复存取操作，需要手动计算时间差。
     * @param timeUnit         时间单位
     * @return 创建的签章值
     */
    default V create(K key, long expireAfterWrite, TimeUnit timeUnit) {
        V value = this.nextStamp(key);
        this.put(key, value, expireAfterWrite, timeUnit);
        return value;
    }

    /**
     * 创建具体的Stamp签章值，并存储至本地缓存
     *
     * @param key    签章存储Key值
     * @param expire 过期时间{@link Duration}
     * @return 创建的签章值
     */
    default V create(K key, Duration expire) {
        return create(key, expire.toMillis(), TimeUnit.MILLISECONDS);
    }

    /**
     * 创建具体的Stamp签章值，并存储至本地缓存
     *
     * @param key 与签章存储Key值
     * @return 创建的签章值
     */
    default V create(K key) {
        return create(key, getExpire());
    }

    /**
     * 校验Stamp值，与本地存储的Stamp 是否匹配
     *
     * @param key   与Stamp对应的Key值
     * @param value 外部传入的Stamp值
     * @return ture 匹配，false 不匹配
     * @throws StampParameterIllegalException 传入Stamp错误
     * @throws StampHasExpiredException       本地数据中没有Stamp或者Stamp已经过期。
     * @throws StampMismatchException         Stamp与本地存储值不匹配
     */
    boolean check(K key, V value) throws StampParameterIllegalException, StampHasExpiredException, StampMismatchException;

    /**
     * 根据key读取Stamp
     *
     * @param key 存储数据Key值
     * @return 存储的Stamp值
     */
    V get(K key);

    /**
     * 删除与Key对应的Stamp
     *
     * @param key 存储数据Key值
     * @throws StampDeleteFailedException Stamp删除错误
     */
    void delete(K key) throws StampDeleteFailedException;

    default boolean containKey(K key) {
        V value = get(key);
        return ObjectUtils.isNotEmpty(value);
    }

    /**
     * 锁定值
     * <p>
     * 非堵塞的尝试获取一个锁，如果对应的key还没有锁，返回一个AutoReleaseLock，否则立即返回空。如果Cache实例是本地的，它是一个本地锁，在本JVM中有效；如果是redis等远程缓存，它是一个不十分严格的分布式锁。锁的超时时间由expire和timeUnit指定。多级缓存的情况会使用最后一级做tryLock操作。
     *
     * @param key      存储Key
     * @param expire   过期时间
     * @param timeUnit 过期时间单位
     * @return {@link AutoReleaseLock}
     * @see <a href="https://github.com/alibaba/jetcache/wiki/CacheAPI_CN">JetCache Wiki</a>
     */
    AutoReleaseLock lock(K key, long expire, TimeUnit timeUnit);

    /**
     * 锁定值
     * <p>
     * 非堵塞的尝试获取一个锁，如果对应的key还没有锁，返回一个AutoReleaseLock，否则立即返回空。如果Cache实例是本地的，它是一个本地锁，在本JVM中有效；如果是redis等远程缓存，它是一个不十分严格的分布式锁。锁的超时时间由expire和timeUnit指定。多级缓存的情况会使用最后一级做tryLock操作。
     *
     * @param key    存储Key
     * @param expire 过期时间{@link Duration}
     * @return {@link AutoReleaseLock}
     * @see <a href="https://github.com/alibaba/jetcache/wiki/CacheAPI_CN">JetCache Wiki</a>
     */
    default AutoReleaseLock lock(K key, Duration expire) {
        return lock(key, expire.toMillis(), TimeUnit.MILLISECONDS);
    }

    /**
     * 锁定值
     * <p>
     * 非堵塞的尝试获取一个锁，如果对应的key还没有锁，返回一个AutoReleaseLock，否则立即返回空。如果Cache实例是本地的，它是一个本地锁，在本JVM中有效；如果是redis等远程缓存，它是一个不十分严格的分布式锁。锁的超时时间由expire和timeUnit指定。多级缓存的情况会使用最后一级做tryLock操作。
     * *
     *
     * @param key 存储Key
     * @return {@link AutoReleaseLock}
     * @see <a href="https://github.com/alibaba/jetcache/wiki/CacheAPI_CN">JetCache Wiki</a>
     */
    default AutoReleaseLock lock(K key) {
        return lock(key, getExpire());
    }

    /**
     * 锁定并执行操作
     * <p>
     * 非堵塞的尝试获取一个锁，如果对应的key还没有锁，返回一个AutoReleaseLock，否则立即返回空。如果Cache实例是本地的，它是一个本地锁，在本JVM中有效；如果是redis等远程缓存，它是一个不十分严格的分布式锁。锁的超时时间由expire和timeUnit指定。多级缓存的情况会使用最后一级做tryLock操作。
     *
     * @param key      存储Key
     * @param expire   过期时间
     * @param timeUnit 过期时间单位
     * @param action   需要执行的操作 {@link Runnable}
     * @return 是否执行成功
     * @see <a href="https://github.com/alibaba/jetcache/wiki/CacheAPI_CN">JetCache Wiki</a>
     */
    boolean lockAndRun(K key, long expire, TimeUnit timeUnit, Runnable action);

    /**
     * 锁定并执行操作
     * <p>
     * 非堵塞的尝试获取一个锁，如果对应的key还没有锁，返回一个AutoReleaseLock，否则立即返回空。如果Cache实例是本地的，它是一个本地锁，在本JVM中有效；如果是redis等远程缓存，它是一个不十分严格的分布式锁。锁的超时时间由expire和timeUnit指定。多级缓存的情况会使用最后一级做tryLock操作。
     *
     * @param key    存储Key
     * @param expire 过期时间{@link Duration}
     * @param action 需要执行的操作 {@link Runnable}
     * @return 是否执行成功
     * @see <a href="https://github.com/alibaba/jetcache/wiki/CacheAPI_CN">JetCache Wiki</a>
     */
    default boolean lockAndRun(K key, Duration expire, Runnable action) {
        return lockAndRun(key, expire.toMillis(), TimeUnit.MILLISECONDS, action);
    }

    /**
     * 锁定并执行操作
     * <p>
     * 非堵塞的尝试获取一个锁，如果对应的key还没有锁，返回一个AutoReleaseLock，否则立即返回空。如果Cache实例是本地的，它是一个本地锁，在本JVM中有效；如果是redis等远程缓存，它是一个不十分严格的分布式锁。锁的超时时间由expire和timeUnit指定。多级缓存的情况会使用最后一级做tryLock操作。
     *
     * @param key    存储Key
     * @param action 需要执行的操作 {@link Runnable}
     * @return 是否执行成功
     * @see <a href="https://github.com/alibaba/jetcache/wiki/CacheAPI_CN">JetCache Wiki</a>
     */
    default boolean lockAndRun(K key, Runnable action) {
        return lockAndRun(key, getExpire(), action);
    }
}

4.4.3.2 抽象Stamp签章管理类AbstractStampManager

package cn.kuafu.cloud.base.cache.jetcache.stamp;

import cn.kuafu.cloud.base.cache.core.exception.StampDeleteFailedException;
import cn.kuafu.cloud.base.cache.core.exception.StampHasExpiredException;
import cn.kuafu.cloud.base.cache.core.exception.StampMismatchException;
import cn.kuafu.cloud.base.cache.core.exception.StampParameterIllegalException;
import cn.kuafu.cloud.base.cache.jetcache.utils.JetCacheUtils;
import com.alicp.jetcache.AutoReleaseLock;
import com.alicp.jetcache.Cache;
import com.alicp.jetcache.anno.CacheType;
import org.apache.commons.lang3.ObjectUtils;

import java.time.Duration;
import java.util.concurrent.TimeUnit;

/**
 * @param <K> 签章缓存对应Key值的类型。
 * @param <V> 签章缓存存储数据，对应的具体存储值的类型，
 * @author ningzhaosheng
 * @date 2022/5/13 10:16:52
 * @description 抽象Stamp管理
 */
public abstract class AbstractStampManager<K, V> implements StampManager<K, V> {
    private static final Duration DEFAULT_EXPIRE = Duration.ofMinutes(30);

    private String cacheName;
    private CacheType cacheType;
    private Duration expire;
    private Cache<K, V> cache;

    public AbstractStampManager(String cacheName) {
        this(cacheName, CacheType.BOTH);
    }

    public AbstractStampManager(String cacheName, CacheType cacheType) {
        this(cacheName, cacheType, DEFAULT_EXPIRE);
    }

    public AbstractStampManager(String cacheName, CacheType cacheType, Duration expire) {
        this.cacheName = cacheName;
        this.cacheType = cacheType;
        this.expire = expire;
        this.cache = JetCacheUtils.create(this.cacheName, this.cacheType, this.expire);
    }

    /**
     * 指定数据存储缓存
     *
     * @return {@link Cache}
     */
    protected Cache<K, V> getCache() {
        return this.cache;
    }

    @Override
    public Duration getExpire() {
        return this.expire;
    }

    public void setExpire(Duration expire) {
        this.expire = expire;
    }

    @Override
    public boolean check(K key, V value) {
        if (ObjectUtils.isEmpty(value)) {
            throw new StampParameterIllegalException("Parameter Stamp value is null");
        }

        V storedStamp = this.get(key);
        if (ObjectUtils.isEmpty(storedStamp)) {
            throw new StampHasExpiredException("Stamp is invalid!");
        }

        if (ObjectUtils.notEqual(storedStamp, value)) {
            throw new StampMismatchException("Stamp is mismathch!");
        }

        return true;
    }

    @Override
    public V get(K key) {
        return this.getCache().get(key);
    }

    @Override
    public void delete(K key) throws StampDeleteFailedException {
        boolean result = this.getCache().remove(key);
        if (!result) {
            throw new StampDeleteFailedException("Delete Stamp From Storage Failed");
        }
    }

    @Override
    public void put(K key, V value, long expireAfterWrite, TimeUnit timeUnit) {
        this.getCache().put(key, value, expireAfterWrite, timeUnit);
    }

    @Override
    public AutoReleaseLock lock(K key, long expire, TimeUnit timeUnit) {
        return this.getCache().tryLock(key, expire, timeUnit);
    }

    @Override
    public boolean lockAndRun(K key, long expire, TimeUnit timeUnit, Runnable action) {
        return this.getCache().tryLockAndRun(key, expire, timeUnit, action);
    }
}

4.4.3.3 抽象缓存计数类AbstractCountStampManager

package cn.kuafu.cloud.base.cache.jetcache.stamp;

import cn.hutool.crypto.SecureUtil;
import cn.kuafu.cloud.base.cache.core.exception.MaximumLimitExceededException;
import com.alicp.jetcache.anno.CacheType;
import org.apache.commons.lang3.ObjectUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.util.Assert;

import java.time.Duration;

/**
 * @author ningzhaosheng
 * @date 2022/8/22 18:09:50
 * @description 计数类型的缓存
 * 这里的泛型使用了 Long 主要是为了兼顾存储 System.currentTimeMillis()。否则类型不一致，还要建两个 Stamp
 */
public abstract class AbstractCountStampManager extends AbstractStampManager<String, Long> {
    private static final Logger log = LoggerFactory.getLogger(AbstractCountStampManager.class);

    public AbstractCountStampManager(String cacheName) {
        super(cacheName);
    }

    public AbstractCountStampManager(String cacheName, CacheType cacheType) {
        super(cacheName, cacheType);
    }

    public AbstractCountStampManager(String cacheName, CacheType cacheType, Duration expire) {
        super(cacheName, cacheType, expire);
    }
    /**
     * 在缓存有效期内进行计数
     *
     * @param identity 缓存 Key 的区分标识
     * @param maxTimes 允许的最大限制次数
     * @return 当前错误次数
     * @throws MaximumLimitExceededException 超出最大限制次数错误
     */
    public int counting(String identity, int maxTimes) throws MaximumLimitExceededException {
        return counting(identity, maxTimes, null);
    }

    /**
     * 在缓存有效期内进行计数
     *
     * @param identity 缓存 Key 的区分标识
     * @param maxTimes 允许的最大限制次数
     * @param expire   过期时间
     * @return 当前错误次数
     * @throws MaximumLimitExceededException 超出最大限制次数错误
     */
    public int counting(String identity, int maxTimes, Duration expire) throws MaximumLimitExceededException {
        return counting(identity, maxTimes, expire, false);
    }

    /**
     * 在缓存有效期内进行计数
     *
     * @param identity 缓存 Key 的区分标识
     * @param maxTimes 允许的最大限制次数
     * @param expire   过期时间
     * @param function 用于在日志中区分是哪个功能在调用。
     * @return 当前错误次数
     * @throws MaximumLimitExceededException 超出最大限制次数错误
     */
    public int counting(String identity, int maxTimes, Duration expire, String function) throws MaximumLimitExceededException {
        return counting(identity, maxTimes, expire, false, function);
    }

    /**
     * 在缓存有效期内进行计数
     *
     * @param identity 缓存 Key 的区分标识
     * @param maxTimes 允许的最大限制次数
     * @param expire   过期时间
     * @param useMd5   是否用 MD5 对区分标识进行混淆加密
     * @return 当前错误次数
     * @throws MaximumLimitExceededException 超出最大限制次数错误
     */
    public int counting(String identity, int maxTimes, Duration expire, boolean useMd5) throws MaximumLimitExceededException {
        return counting(identity, maxTimes, expire, useMd5, "AbstractCountStampManager");
    }

    /**
     * 在缓存有效期内进行计数
     *
     * @param identity 缓存 Key 的区分标识
     * @param maxTimes 允许的最大限制次数
     * @param expire   过期时间
     * @param useMd5   是否用 MD5 对区分标识进行混淆加密
     * @param function 用于在日志中区分是哪个功能在调用。
     * @return 当前错误次数
     * @throws MaximumLimitExceededException 超出最大限制次数错误
     */
    public int counting(String identity, int maxTimes, Duration expire, boolean useMd5, String function) throws MaximumLimitExceededException {
        Assert.notNull(identity, "identity cannot be null");

        String key = useMd5 ? SecureUtil.md5(identity) : identity;
        String expireKey = key + "_expire";

        Long index = get(key);

        if (ObjectUtils.isEmpty(index)) {
            index = 0L;
        }

        if (index == 0) {
            // 第一次读取剩余次数，因为缓存中还没有值，所以先创建缓存，同时缓存中计数为1。
            if (ObjectUtils.isNotEmpty(expire) && !expire.isZero()) {
                // 如果传入的 expire 不为零，那么就用 expire 参数值
                create(key, expire);
                put(expireKey, System.currentTimeMillis(), expire);
            } else {
                // 如果没有传入 expire 值，那么就默认使用 StampManager 自身配置的过期时间
                create(key);
                put(expireKey, System.currentTimeMillis());
            }
        } else {
            // 不管是注解上配置Duration值还是StampProperties中配置的Duration值，是不会变的
            // 所以第一次存入expireKey对应的System.currentTimeMillis()时间后，这个值也不应该变化。
            // 因此，这里只更新访问次数的标记值
            Duration newDuration = calculateRemainingTime(expire, expireKey, function);
            put(key, index + 1L, newDuration);

            // times 计数相当于数组的索引是 从0~n，所以需要
            if (index == maxTimes - 1) {
                throw new MaximumLimitExceededException("Requests are too frequent. Please try again later!");
            }
        }

        int times = new Long(index + 1L).intValue();
        log.debug("[KuaFuCloud-Base-Cache] |- {} has been recorded [{}] times.", function, times);
        return times;
    }

    /**
     * 计算剩余过期时间
     * <p>
     * 每次create或者put，缓存的过期时间都会被覆盖。（注意：Jetcache put 方法的参数名：expireAfterWrite）。
     * 因为Jetcache没有Redis的incr之类的方法，那么每次放入Times值，都会更新过期时间，实际操作下来是变相的延长了过期时间。
     *
     * @param configuredDuration 注解上配置的、且可以正常解析的Duration值
     * @param expireKey          时间标记存储Key值。
     * @return 还剩余的过期时间 {@link Duration}
     */
    private Duration calculateRemainingTime(Duration configuredDuration, String expireKey, String function) {
        Long begin = get(expireKey);
        Long current = System.currentTimeMillis();
        long interval = current - begin;

        log.debug("[KuaFuCloud-Base-Cache] |- {} operation interval [{}] millis.", function, interval);

        Duration duration;
        if (!configuredDuration.isZero()) {
            duration = configuredDuration.minusMillis(interval);
        } else {
            duration = getExpire().minusMillis(interval);
        }

        return duration;
    }
}

4.4.4 JetCache直接使用封装

4.4.4.1 JetCache单例工具类JetCacheUtils

package cn.kuafu.cloud.base.cache.jetcache.utils;

import cn.kuafu.cloud.base.cache.jetcache.enhance.JetCacheCreateCacheFactory;
import com.alicp.jetcache.Cache;
import com.alicp.jetcache.anno.CacheType;
import org.apache.commons.lang3.ObjectUtils;

import java.time.Duration;

/**
 * @author ningzhaosheng
 * @date 2022/8/25 18:17:59
 * @description JetCache 单例工具类
 */
public class JetCacheUtils {
    private static volatile JetCacheUtils instance;
    private JetCacheCreateCacheFactory jetCacheCreateCacheFactory;

    private JetCacheUtils() {

    }

    private void init(JetCacheCreateCacheFactory jetCacheCreateCacheFactory) {
        this.jetCacheCreateCacheFactory = jetCacheCreateCacheFactory;
    }

    private JetCacheCreateCacheFactory getJetCacheCreateCacheFactory() {
        return jetCacheCreateCacheFactory;
    }

    public static JetCacheUtils getInstance() {
        if (ObjectUtils.isEmpty(instance)) {
            synchronized (JetCacheUtils.class) {
                if (ObjectUtils.isEmpty(instance)) {
                    instance = new JetCacheUtils();
                }
            }
        }
        return instance;
    }

    public static void setJetCacheCreateCacheFactory(JetCacheCreateCacheFactory jetCacheCreateCacheFactory) {
        getInstance().init(jetCacheCreateCacheFactory);
    }

    public static <K, V> Cache<K, V> create(String name, Duration expire) {
        return create(name, expire, true);
    }

    public static <K, V> Cache<K, V> create(String name, Duration expire, Boolean cacheNullValue) {
        return create(name, expire, cacheNullValue, null);
    }

    public static <K, V> Cache<K, V> create(String name, Duration expire, Boolean cacheNullValue, Boolean syncLocal) {
        return create(name, CacheType.BOTH, expire, cacheNullValue, syncLocal);
    }

    public static <K, V> Cache<K, V> create(String name, CacheType cacheType) {
        return create(name, cacheType, null);
    }

    public static <K, V> Cache<K, V> create(String name, CacheType cacheType, Duration expire) {
        return create(name, cacheType, expire, true);
    }

    public static <K, V> Cache<K, V> create(String name, CacheType cacheType, Duration expire, Boolean cacheNullValue) {
        return create(name, cacheType, expire, cacheNullValue, null);
    }

    public static <K, V> Cache<K, V> create(String name, CacheType cacheType, Duration expire, Boolean cacheNullValue, Boolean syncLocal) {
        return getInstance().getJetCacheCreateCacheFactory().create(name, cacheType, expire, cacheNullValue, syncLocal);
    }
}

4.4.5 JetCache注解方式启动封装

4.4.5.1 JetCache加载配置类JetCacheConfiguration

package cn.kuafu.cloud.base.cache.jetcache.configuration;

import cn.kuafu.cloud.base.cache.caffeine.configuration.CaffeineConfiguration;
import cn.kuafu.cloud.base.cache.core.properties.CacheProperties;
import cn.kuafu.cloud.base.cache.jetcache.enhance.JetCacheCreateCacheFactory;
import cn.kuafu.cloud.base.cache.jetcache.enhance.KuaFuCloudCacheManager;
import cn.kuafu.cloud.base.cache.jetcache.utils.JetCacheUtils;
import cn.kuafu.cloud.base.cache.redis.configuration.CacheRedisConfiguration;
import com.alicp.jetcache.CacheManager;
import com.alicp.jetcache.autoconfigure.JetCacheAutoConfiguration;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.boot.autoconfigure.AutoConfigureAfter;
import org.springframework.boot.autoconfigure.condition.ConditionalOnClass;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
import org.springframework.boot.context.properties.EnableConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Import;
import org.springframework.context.annotation.Primary;

import javax.annotation.PostConstruct;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 10:20:09
 * @description 新增JetCache配置，解决JetCache依赖循环问题
 */
@Configuration(proxyBeanMethods = false)
@EnableConfigurationProperties(CacheProperties.class)
@Import({CaffeineConfiguration.class, CacheRedisConfiguration.class})
@AutoConfigureAfter(JetCacheAutoConfiguration.class)
public class JetCacheConfiguration {

    private static final Logger log = LoggerFactory.getLogger(JetCacheConfiguration.class);

    @PostConstruct
    public void postConstruct() {
        log.debug("[KuaFuCloud-Base-Cache] |- SDK [Cache JetCache] Auto Configure.");
    }

    @Bean
    @ConditionalOnClass(CacheManager.class)
    public JetCacheCreateCacheFactory jetCacheCreateCacheFactory(CacheManager jcCacheManager) {
        JetCacheCreateCacheFactory jetCacheCreateCacheFactory = new JetCacheCreateCacheFactory(jcCacheManager);
        JetCacheUtils.setJetCacheCreateCacheFactory(jetCacheCreateCacheFactory);
        log.trace("[KuaFuCloud-Base-Cache] |- Bean [Jet Cache Create Cache Factory] Auto Configure.");
        return jetCacheCreateCacheFactory;
    }

    @Bean
    @Primary
    @ConditionalOnMissingBean
    public KuaFuCloudCacheManager kuaFuCloudCacheManager(JetCacheCreateCacheFactory jetCacheCreateCacheFactory, CacheProperties cacheProperties) {
        KuaFuCloudCacheManager kuaFuCloudCacheManager = new KuaFuCloudCacheManager(jetCacheCreateCacheFactory, cacheProperties);
        kuaFuCloudCacheManager.setAllowNullValues(cacheProperties.getAllowNullValues());
        log.trace("[KuaFuCloud-Base-Cache] |- Bean [Jet Cache KuaFuCloud Cache Manager] Auto Configure.");
        return kuaFuCloudCacheManager;
    }
}

4.4.5.2 JetCache手动启动注解

package cn.kuafu.cloud.base.cache.jetcache.annotation;

import cn.kuafu.cloud.base.cache.jetcache.configuration.JetCacheConfiguration;
import org.springframework.context.annotation.Import;

import java.lang.annotation.*;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 10:42:52
 * @description 手动开启JetCache注入
 */
@Target(ElementType.TYPE)
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Import(JetCacheConfiguration.class)
public @interface EnableKuaFuCloudJetCache {

}

4.4.6 Jpa Hibernate二级缓存扩展

4.4.6.1 DomainDataStorageAccess 接口实现

package cn.kuafu.cloud.base.data.jpa.hibernate.cache.spi;

import cn.hutool.crypto.SecureUtil;
import cn.kuafu.cloud.base.assistant.core.definition.constants.BaseConstants;
import cn.kuafu.cloud.base.assistant.core.definition.constants.SymbolConstants;
import cn.kuafu.cloud.base.assistant.core.context.TenantContextHolder;
import org.apache.commons.lang3.ObjectUtils;
import org.apache.commons.lang3.StringUtils;
import org.hibernate.cache.spi.support.DomainDataStorageAccess;
import org.hibernate.engine.spi.SharedSessionContractImplementor;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.cache.Cache;

/**
 * @author ningzhaosheng
 * @date 2022/5/14 18:28:20
 * @description 自定义Hibernate二级缓存DomainDataStorageAccess
 */
public class KuaFuCloudDomainDataStorageAccess implements DomainDataStorageAccess {
    private static final Logger log = LoggerFactory.getLogger(KuaFuCloudDomainDataStorageAccess.class);

    private Cache cache;

    public KuaFuCloudDomainDataStorageAccess() {

    }

    public KuaFuCloudDomainDataStorageAccess(Cache cache) {
        this.cache = cache;
    }

    private String secure(Object key) {
        String original = String.valueOf(key);
        if (StringUtils.isNotBlank(original) && StringUtils.startsWith(original, "sql:")) {
            String recent = SecureUtil.md5(original);
            log.trace("[KuaFuCloud-Base-Data] |- SPI - Secure the sql type key [{}] to [{}]", original, recent);
            return recent;
        }
        return original;
    }

    private String getTenantId() {
        String tenantId = TenantContextHolder.getTenantId();
        String result = StringUtils.isNotBlank(tenantId) ? tenantId : BaseConstants.DEFAULT_TENANT_ID;
        log.trace("[KuaFuCloud-Base-Data] |- SPI - Tenant identifier for jpa second level cache is : [{}]", result);
        return StringUtils.toRootLowerCase(result);
    }

    private String wrapper(Object key) {
        String original = secure(key);
        String tenantId = getTenantId();

        String result = tenantId + SymbolConstants.COLON + original;
        log.trace("[KuaFuCloud-Base-Data] |- SPI - Current cache key is : [{}]", result);
        return result;
    }

    private Object get(Object key) {
        Cache.ValueWrapper value = cache.get(key);

        if (ObjectUtils.isNotEmpty(value)) {
            return value.get();
        }
        return null;
    }

    @Override
    public boolean contains(Object key) {
        String wrapperKey = wrapper(key);
        Object value = this.get(wrapperKey);
        log.trace("[KuaFuCloud-Base-Data] | - SPI check is key : [{}] exist.", wrapperKey);
        return ObjectUtils.isNotEmpty(value);
    }

    @Override
    public Object getFromCache(Object key, SharedSessionContractImplementor session) {
        String wrapperKey = wrapper(key);
        Object value = this.get(wrapperKey);
        log.trace("[KuaFuCloud-Base-Data] | - SPI get from cache key is : [{}], value is : [{}]", wrapperKey, value);
        return value;
    }

    @Override
    public void putIntoCache(Object key, Object value, SharedSessionContractImplementor session) {
        String wrapperKey = wrapper(key);
        log.trace("[KuaFuCloud-Base-Data] | - SPI put into cache key is : [{}], value is : [{}]", wrapperKey, value);
        cache.put(wrapperKey, value);
    }

    @Override
    public void removeFromCache(Object key, SharedSessionContractImplementor session) {
        String wrapperKey = wrapper(key);
        log.trace("[KuaFuCloud-Base-Data] | - SPI remove from cache key is : [{}]", wrapperKey);
        cache.evict(wrapperKey);
    }

    @Override
    public void evictData(Object key) {
        String wrapperKey = wrapper(key);
        log.trace("[KuaFuCloud-Base-Data] | - SPI evict key : [{}] from cache.", wrapperKey);
        cache.evict(wrapperKey);
    }

    @Override
    public void clearCache(SharedSessionContractImplementor session) {
        this.evictData();
    }

    @Override
    public void evictData() {
        log.trace("[KuaFuCloud-Base-Data] | - SPI clear all cache data.");
        cache.clear();
    }

    @Override
    public void release() {
        log.trace("[KuaFuCloud-Base-Data] | - SPI cache release.");
        cache.invalidate();
    }
}

4.4.6.2 RegionFactoryTemplate 模板扩展

package cn.kuafu.cloud.base.data.jpa.hibernate.cache.spi;

import cn.hutool.extra.spring.SpringUtil;
import org.hibernate.boot.spi.SessionFactoryOptions;
import org.hibernate.cache.cfg.spi.DomainDataRegionBuildingContext;
import org.hibernate.cache.cfg.spi.DomainDataRegionConfig;
import org.hibernate.cache.spi.support.DomainDataStorageAccess;
import org.hibernate.cache.spi.support.RegionFactoryTemplate;
import org.hibernate.cache.spi.support.StorageAccess;
import org.hibernate.engine.spi.SessionFactoryImplementor;
import org.springframework.cache.CacheManager;

import java.util.Map;

/**
 * @author ningzhaosheng
 * @date 2022/5/14 18:30:35
 * @description 自定义Hibernate二级缓存RegionFactory
 */
public class KuaFuCloudRegionFactory extends RegionFactoryTemplate {
    private CacheManager cacheManager;

    @Override
    protected StorageAccess createQueryResultsRegionStorageAccess(String regionName, SessionFactoryImplementor sessionFactory) {
        return new KuaFuCloudDomainDataStorageAccess(cacheManager.getCache(regionName));
    }

    @Override
    protected StorageAccess createTimestampsRegionStorageAccess(String regionName, SessionFactoryImplementor sessionFactory) {
        return new KuaFuCloudDomainDataStorageAccess(cacheManager.getCache(regionName));
    }

    @Override
    protected DomainDataStorageAccess createDomainDataStorageAccess(DomainDataRegionConfig regionConfig, DomainDataRegionBuildingContext buildingContext) {
        return new KuaFuCloudDomainDataStorageAccess(cacheManager.getCache(regionConfig.getRegionName()));
    }

    @Override
    protected void prepareForUse(SessionFactoryOptions settings, Map configValues) {
        this.cacheManager = SpringUtil.getBean("kuaFuCloudCacheManager");
    }

    @Override
    protected void releaseFromUse() {
        cacheManager = null;
    }
}

五、缓存 Start 启动组件封装

5.1 组件说明

借鉴SpringBoot Start 启动风格，基于Spring SPI机制加载各配置类，封装成cache-spring-boot-starter组件

5.2 组件结构图

5.3 组件Maven依赖

<dependencies>
        <dependency>
            <groupId>${project.groupId}</groupId>
            <artifactId>cache-redisson-sdk</artifactId>
        </dependency>
        <dependency>
            <groupId>${project.groupId}</groupId>
            <artifactId>cache-jetcache-sdk</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-cache</artifactId>
        </dependency>
    </dependencies>

5.4 组件功能实现源码

5.4.1 组件启动类

package cn.kuafu.cloud.base.cache.starter.autoconfigure;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.context.annotation.Configuration;

import javax.annotation.PostConstruct;

/**
 * @author ningzhaosheng
 * @date 2022/5/13 15:12:18
 * @description Cache 配置
 */
@Configuration(proxyBeanMethods = false)
public class AutoConfiguration {
    private static final Logger log = LoggerFactory.getLogger(AutoConfiguration.class);

    @PostConstruct
    public void postConstruct() {
        log.info("[KuaFuCloud-Base-Cache] |- Starter [Base Cache Starter] Auto Configure.");
    }
}

5.4.2 SPI加载机制配置文件

cn.kuafu.cloud.base.cache.starter.autoconfigure.AutoConfiguration
cn.kuafu.cloud.base.cache.jetcache.configuration.JetCacheConfiguration

JetCache缓存框架整合Caffeine、Redis，实现一级缓存、二级缓存，进而扩展JPA?Hibernate、Mybatis两款ORM缓存框架的二级缓存，扩展Spring Cache缓存，实现Spring Session 共享等功能的缓存方案就实现完成了。如果对缓存扩展点和缓存原理不熟悉，可以参考文章基于JetCache整合实现一级、二级缓存方案（前置基础知识与原理）-CSDN博客

好了，本次分享就到这里，如果帮助到大家，欢迎大家点赞+关注+收藏，有疑问也欢迎大家评论留言！

文章来源:https://blog.csdn.net/qq_25409421/article/details/135248709
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