前缀key设计,按照不同的业务区分了不同的业务场景的前缀Key
public class RedisKeyConstants {public static final String REDIS_GAMEGROUP_NEW_KEY = "newgamegroup";public static final String REDIS_GAMEGROUP_DETAIL_KEY = "gamegroup:detail";public static final String REDIS_KEY_IUNIT_STRATEGY_COUNT = "activity:ihandler:strategy:count";public static final String CONTENT_DISTRIBUTE_CURRENT = "content:distribute:current";public static final String RECOMMEND_NOTE = "recommend:note";
}public class RedisUtils {public static final String COMMON_REDIS_KEY_SPLIT = ":";public static String buildRedisKey(String key, Object... params) {if (params == null || params.length == 0) {return key;}for (Object param : params) {key += COMMON_REDIS_KEY_SPLIT + param;}return key;}
}
监控实现,通过 Aspect 的切面功能对 Redis 的指定操作进行拦截，如上图中的 Set 操作等，可以按需扩展到其他操作,针对前缀 key 的提取支持两个维度，默认场景和自定义场景，其中处理优先级为 自定义场景 > 默认场景,考虑自定义场景的灵活性，相关的自定义前缀通过配置中心实时生效
@Slf4j
@Aspect
@Order(0)
@Component
public class RedisMonitorAspect {private static final String PREFIX_CONFIG = "redis.monitor.prefix";private static final Set<String> PREFIX_SET = new HashSet<>();@Resourceprivate MonitorComponent monitorComponent;static {// 更新前缀匹配的名单String prefixValue = VivoConfigManager.getString(PREFIX_CONFIG, "");refreshConf(prefixValue);// 增加配置变更的回调VivoConfigManager.addListener(new VivoConfigListener() {@Overridepublic void eventReceived(PropertyItem propertyItem, ChangeEventType changeEventType) {if (StringUtils.equalsIgnoreCase(propertyItem.getName(), PREFIX_CONFIG)) {refreshConf(propertyItem.getValue());}}});}/*** 更新前缀匹配的名单* @param prefixValue*/private static void refreshConf(String prefixValue) {if (StringUtils.isNotEmpty(prefixValue)) {String[] prefixArr = StringUtils.split(prefixValue, ",");Arrays.stream(prefixArr).forEach(item -> PREFIX_SET.add(item));}}@Pointcut("execution(* com.vivo.joint.dal.common.redis.dao.RedisDao.set*(..))")public void point() {}@Around("point()")public Object around(ProceedingJoinPoint pjp) throws Throwable {//业务逻辑异常情况直接抛到业务层处理Object result = pjp.proceed();try {if (VivoConfigManager.getBoolean("joint.center.redis.monitor.switch", true)) {Object[] args = pjp.getArgs();if (null != args && args.length > 0) {String redisKey = String.valueOf(args[0]);if (VivoConfigManager.getBoolean("joint.center.redis.monitor.send.log.switch", true)) {LOGGER.info("更新redis的缓存 {}", redisKey);}String monitorKey = null;// 先指定前缀匹配if (!PREFIX_SET.isEmpty()) {for (String prefix : PREFIX_SET) {if (StringUtils.startsWithIgnoreCase(redisKey, prefix)) {monitorKey = prefix;break;}}}if (StringUtils.isEmpty(monitorKey) && StringUtils.contains(redisKey, ":")) {// 需要考虑前缀的格式，保证数据写入不能膨胀monitorKey = StringUtils.substringBeforeLast(redisKey, ":");}monitorComponent.sendRedisMonitorData(monitorKey);}}} catch (Exception e) {}return result;}
}案例
public static final String REDISKEY_USER_POPUP_PLAN = "popup:user:plan";public PopupWindowPlan findPlan(FindPlanParam param) {String openId = param.getOpenId();String imei = param.getImei();String gamePackage = param.getGamePackage();Integer planType = param.getPlanType();String appId = param.getAppId();// 1、获取缓存的数据PopupWindowPlan cachedPlan = getPlanFromCache(openId, imei, gamePackage, planType);if (cachedPlan != null) {monitorPopWinPlan(cachedPlan);return cachedPlan;}// 2、未命中换成后从持久化部分获取对应的 PopupWindowPlan 对象// 3、保存到Redis换成setPlanToCache(openId, imei, gamePackage, plan);return cachedPlan;}// 从缓存中获取数据的逻辑private PopupWindowPlan getPlanFromCache(String openId, String imei, String gamePackage, Integer planType) {String key = RedisUtils.buildRedisKey(RedisKeyConstants.REDISKEY_USER_POPUP_PLAN, openId, imei, gamePackage, planType);String cacheValue = redisDao.get(key);if (StringUtils.isEmpty(cacheValue)) {return null;}try {PopupWindowPlan plan = objectMapper.readValue(cacheValue, PopupWindowPlan.class);return plan;} catch (Exception e) {}return null;}// 保存数据到缓存当中private void setPlanToCache(String openId, String imei, String gamePackage, PopupWindowPlan plan, Integer planType) {String key = RedisUtils.buildRedisKey(RedisKeyConstants.REDISKEY_USER_POPUP_PLAN, openId, imei, gamePackage, planType);try {String serializedStr = objectMapper.writeValueAsString(plan);redisDao.set(key, serializedStr, VivoConfigManager.getInteger(ConfigConstants.POPUP_PLAN_CACHE_EXPIRE_TIME, 300));} catch (Exception e) {}}
**如监控实现部分所述，通过 Redis Key 的前缀聚合监控，能够发现某一类业务场景的 Redis 的写请求数，进而发现 Redis 的无效使用场景。
上述案例是典型的Redis的缓存使用场景：1.访问 Redis 缓存；2.若命中则直接返回结果；3、如未命中则查询持久化存储获取数据并写入 Redis 缓存。
从业务监控的大盘发现前缀 popup:user:plan 存在大量的 set 操作命令，按照缓存读多写少的原则，该场景标明该缓存的设计是无效的。
通过业务分析后，发现在游戏的业务场景中 用户维度+游戏维度 不存在5分钟重复访问缓存的场景，确认缓存的无效**
本地缓存caffeine
public final class Caffeine<K, V> {/*** caffeine的实例名称*/String instanceName;/*** caffeine的实例维护的Map信息*/static Map<String, Cache> cacheInstanceMap = new ConcurrentHashMap<>();@NonNullpublic <K1 extends K, V1 extends V> Cache<K1, V1> build() {requireWeightWithWeigher();requireNonLoadingCache();@SuppressWarnings("unchecked")Caffeine<K1, V1> self = (Caffeine<K1, V1>) this;Cache localCache = isBounded() ? new BoundedLocalCache.BoundedLocalManualCache<>(self) : new UnboundedLocalCache.UnboundedLocalManualCache<>(self);if (null != localCache && StringUtils.isNotEmpty(localCache.getInstanceName())) {cacheInstanceMap.put(localCache.getInstanceName(), localCache);}return localCache;}
}static Cache<String, List<String>> accountWhiteCache = Caffeine.newBuilder().applyName("accountWhiteCache").expireAfterWrite(VivoConfigManager.getInteger("trade.account.white.list.cache.ttl", 10), TimeUnit.MINUTES).recordStats().maximumSize(VivoConfigManager.getInteger("trade.account.white.list.cache.size", 100)).build();public static StatsData getCacheStats(String instanceName) {Cache cache = Caffeine.getCacheByInstanceName(instanceName);CacheStats cacheStats = cache.stats();StatsData statsData = new StatsData();statsData.setInstanceName(instanceName);statsData.setTimeStamp(System.currentTimeMillis()/1000);statsData.setMemoryUsed(String.valueOf(cache.getMemoryUsed()));statsData.setEstimatedSize(String.valueOf(cache.estimatedSize()));statsData.setRequestCount(String.valueOf(cacheStats.requestCount()));statsData.setHitCount(String.valueOf(cacheStats.hitCount()));statsData.setHitRate(String.valueOf(cacheStats.hitRate()));statsData.setMissCount(String.valueOf(cacheStats.missCount()));statsData.setMissRate(String.valueOf(cacheStats.missRate()));statsData.setLoadCount(String.valueOf(cacheStats.loadCount()));statsData.setLoadSuccessCount(String.valueOf(cacheStats.loadSuccessCount()));statsData.setLoadFailureCount(String.valueOf(cacheStats.loadFailureCount()));statsData.setLoadFailureRate(String.valueOf(cacheStats.loadFailureRate()));Optional<Eviction> optionalEviction = cache.policy().eviction();optionalEviction.ifPresent(eviction -> statsData.setMaximumSize(String.valueOf(eviction.getMaximum())));Optional<Expiration> optionalExpiration = cache.policy().expireAfterWrite();optionalExpiration.ifPresent(expiration -> statsData.setExpireAfterWrite(String.valueOf(expiration.getExpiresAfter(TimeUnit.SECONDS))));optionalExpiration = cache.policy().expireAfterAccess();optionalExpiration.ifPresent(expiration -> statsData.setExpireAfterAccess(String.valueOf(expiration.getExpiresAfter(TimeUnit.SECONDS))));optionalExpiration = cache.policy().refreshAfterWrite();optionalExpiration.ifPresent(expiration -> statsData.setRefreshAfterWrite(String.valueOf(expiration.getExpiresAfter(TimeUnit.SECONDS))));return statsData;
}public static void sendReportData() {try {if (!VivoConfigManager.getBoolean("memory.caffeine.data.report.switch", true)) {return;}// 1、获取所有的cache实例对象Method listCacheInstanceMethod = HANDLER_MANAGER_CLASS.getMethod("listCacheInstance", null);List<String> instanceNames = (List)listCacheInstanceMethod.invoke(null, null);if (CollectionUtils.isEmpty(instanceNames)) {return;}String appName = System.getProperty("app.name");String localIp = getLocalIp();String localPort = String.valueOf(NetPortUtils.getWorkPort());ReportData reportData = new ReportData();InstanceData instanceData = new InstanceData();instanceData.setAppName(appName);instanceData.setIp(localIp);instanceData.setPort(localPort);// 2、遍历cache实例对象获取缓存监控数据Method getCacheStatsMethod = HANDLER_MANAGER_CLASS.getMethod("getCacheStats", String.class);Map<String, StatsData> statsDataMap = new HashMap<>();instanceNames.stream().forEach(instanceName -> {try {StatsData statsData = (StatsData)getCacheStatsMethod.invoke(null, instanceName);statsDataMap.put(instanceName, statsData);} catch (Exception e) {}});// 3、构建上报对象reportData.setInstanceData(instanceData);reportData.setStatsDataMap(statsDataMap);// 4、发送Http的POST请求HttpPost httpPost = new HttpPost(getReportDataUrl());httpPost.setConfig(requestConfig);StringEntity stringEntity = new StringEntity(JSON.toJSONString(reportData));stringEntity.setContentType("application/json");httpPost.setEntity(stringEntity);HttpResponse response = httpClient.execute(httpPost);String result = EntityUtils.toString(response.getEntity(),"UTF-8");EntityUtils.consume(response.getEntity());logger.info("Caffeine 数据上报成功 URL {} 参数 {} 结果 {}", getReportDataUrl(), JSON.toJSONString(reportData), result);} catch (Throwable throwable) {logger.error("Caffeine 数据上报失败 URL {} ", getReportDataUrl(), throwable);}
}
