feat(本地缓存): 加入本地缓存功能
1.项目第一次启动 查数据库 加入redis 加入本地缓存 2.第二次启动 查询redis 加入本地缓存
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@ -1,89 +0,0 @@
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package com.guwan.backend.config;
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import com.github.benmanes.caffeine.cache.Cache;
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import com.github.benmanes.caffeine.cache.stats.CacheStats;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.scheduling.annotation.Scheduled;
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import org.springframework.web.bind.annotation.GetMapping;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RestController;
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import java.util.HashMap;
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import java.util.Map;
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@Slf4j
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@RestController
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@RequestMapping("/api/cache")
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public class CacheMonitor {
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private final Cache<String, Object> userCache;
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private final Cache<String, Object> productCache;
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public CacheMonitor(Cache<String, Object> userCache,
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Cache<String, Object> productCache) {
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this.userCache = userCache;
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this.productCache = productCache;
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}
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@GetMapping("/stats")
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public Map<String, Object> getStats() {
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Map<String, Object> stats = new HashMap<>();
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// 用户缓存统计
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Map<String, Object> userStats = new HashMap<>();
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userStats.put("stats", userCache.stats());
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userStats.put("estimatedSize", userCache.estimatedSize());
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userStats.put("asMap", userCache.asMap());
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stats.put("userCache", userStats);
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// 产品缓存统计
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Map<String, Object> productStats = new HashMap<>();
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productStats.put("stats", productCache.stats());
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productStats.put("estimatedSize", productCache.estimatedSize());
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productStats.put("asMap", productCache.asMap());
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stats.put("productCache", productStats);
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return stats;
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}
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@GetMapping("/details")
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public String getDetails() {
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StringBuilder details = new StringBuilder();
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details.append("=== Cache Details ===\n");
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// 用户缓存详情
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CacheStats userStats = userCache.stats();
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details.append("User Cache:\n");
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details.append(" Hit count: ").append(userStats.hitCount()).append("\n");
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details.append(" Miss count: ").append(userStats.missCount()).append("\n");
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details.append(" Load success count: ").append(userStats.loadSuccessCount()).append("\n");
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details.append(" Load failure count: ").append(userStats.loadFailureCount()).append("\n");
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details.append(" Total load time: ").append(userStats.totalLoadTime()).append("\n");
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details.append(" Eviction count: ").append(userStats.evictionCount()).append("\n");
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details.append(" Estimated size: ").append(userCache.estimatedSize()).append("\n");
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// 产品缓存详情
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CacheStats productStats = productCache.stats();
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details.append("\nProduct Cache:\n");
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details.append(" Hit count: ").append(productStats.hitCount()).append("\n");
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details.append(" Miss count: ").append(productStats.missCount()).append("\n");
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details.append(" Load success count: ").append(productStats.loadSuccessCount()).append("\n");
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details.append(" Load failure count: ").append(productStats.loadFailureCount()).append("\n");
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details.append(" Total load time: ").append(productStats.totalLoadTime()).append("\n");
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details.append(" Eviction count: ").append(productStats.evictionCount()).append("\n");
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details.append(" Estimated size: ").append(productCache.estimatedSize()).append("\n");
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return details.toString();
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}
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// 每5分钟打印一次缓存统计信息
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@Scheduled(fixedRate = 300000)
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public void logCacheStats() {
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log.info("=== Cache Stats ===");
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log.info("User Cache: {}", userCache.stats());
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log.info("Product Cache: {}", productCache.stats());
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}
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}
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@ -1,7 +1,7 @@
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package com.guwan.backend.config;
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import com.github.benmanes.caffeine.cache.Cache;
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import com.github.benmanes.caffeine.cache.Caffeine;
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import com.guwan.backend.controller.monitor.CacheMonitor;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.cache.CacheManager;
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import org.springframework.cache.annotation.EnableCaching;
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@ -9,8 +9,8 @@ import org.springframework.cache.caffeine.CaffeineCacheManager;
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import org.springframework.context.annotation.Bean;
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import org.springframework.context.annotation.Configuration;
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import org.springframework.context.annotation.Primary;
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import java.util.concurrent.TimeUnit;
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import static com.guwan.backend.constant.CacheConstants.CACHE_LIST;
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@Slf4j
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@EnableCaching
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@ -26,32 +26,13 @@ public class CaffeineConfig {
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.expireAfterAccess(60, TimeUnit.MINUTES)
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.initialCapacity(100)
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.maximumSize(1000));
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cacheManager.setCacheNames(CACHE_LIST);
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return cacheManager;
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}
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@Bean
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public Cache<String, Object> userCache() {
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return Caffeine.newBuilder()
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.recordStats()
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.expireAfterWrite(10, TimeUnit.MINUTES)
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.initialCapacity(100)
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.maximumSize(1000)
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.build();
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}
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@Bean
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public Cache<String, Object> productCache() {
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return Caffeine.newBuilder()
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.recordStats()
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.expireAfterWrite(30, TimeUnit.MINUTES)
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.initialCapacity(100)
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.maximumSize(1000)
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.build();
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}
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@Bean
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public CacheMonitor cacheMonitor(Cache<String, Object> userCache,
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Cache<String, Object> productCache) {
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return new CacheMonitor(userCache, productCache);
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public CacheMonitor cacheMonitor(CacheManager cacheManager) {
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return new CacheMonitor(cacheManager);
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}
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}
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@ -0,0 +1,23 @@
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package com.guwan.backend.constant;
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import java.util.List;
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/**
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* 安全相关常量配置
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*/
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public class CacheConstants {
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/**
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* API接口白名单
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* 这些路径可以直接访问,不需要认证
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*/
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public static final List<String> CACHE_LIST = List.of(
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"userCache"
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);
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/**
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* 静态资源白名单
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* 这些路径用于访问静态资源,不需要认证
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*/
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}
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@ -0,0 +1,51 @@
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package com.guwan.backend.controller.monitor;
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import com.github.benmanes.caffeine.cache.Cache;
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import com.github.benmanes.caffeine.cache.stats.CacheStats;
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import com.guwan.backend.common.BusinessException;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.cache.CacheManager;
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import org.springframework.cache.caffeine.CaffeineCacheManager;
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import org.springframework.web.bind.annotation.GetMapping;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RestController;
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import java.util.HashMap;
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import java.util.Map;
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@Slf4j
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@RestController
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@RequestMapping("/api/cache")
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public class CacheMonitor {
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private final CacheManager cacheManager;
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public CacheMonitor(CacheManager cacheManager) {
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this.cacheManager = cacheManager;
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}
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@GetMapping("/stats")
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public Map<String, Object> getStats(String cacheName) {
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CaffeineCacheManager caffeineCacheManager = (CaffeineCacheManager) cacheManager;
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Cache<Object, Object> nativeCache = null;
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try {
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nativeCache = (Cache<Object, Object>)
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caffeineCacheManager.getCache(cacheName).getNativeCache();
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} catch (Exception e) {
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// throw new RuntimeException(e);
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throw new BusinessException("没有此本地缓存");
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}
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CacheStats stats = nativeCache.stats();
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Map<String, Object> result = new HashMap<>();
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result.put("hitCount 命中次数(成功从缓存中获取数据的次数)", stats.hitCount());
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result.put("missCount 未命中次数(缓存中没有找到数据的次数)", stats.missCount());
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result.put("loadCount 加载次数(需要从数据源重新加载数据的次数)", stats.loadCount());
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result.put("evictionCount 驱逐次数(由于空间限制而被清除的缓存项数量)", stats.evictionCount());
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result.put("hitRate 命中率", String.format("%.2f%%", stats.hitRate() * 100));
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return result;
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}
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}
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@ -175,13 +175,16 @@ public class UserServiceImpl extends ServiceImpl<UserMapper, User> implements Us
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@OperationLog(description = "根据Id获取用户信息")
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@Cacheable(value = "userCache", key = "#id")
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public UserDTO getUserById(Long id) {
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log.info("Checking Redis cache");
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log.info("查询redis缓存");
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// 先从缓存获取
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Object cached = redisUtil.get(USER_CACHE_KEY + id);
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if (cached != null) {
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return (UserDTO) cached;
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}else {
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log.info("redis缓存为空");
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}
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log.info("Getting user from database, id: {}", id);
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log.info("查询数据库, id: {}", id);
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User user = userMapper.selectById(id);
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if (user == null) {
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return null;
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