Eureka Server的多级缓存和过期机制

Eureka Server的多级缓存和过期机制

多级缓存

之前写eureka-client客户端全量请求的时候，会走到缓存这边，下面就具体的看一下，server的多级缓存是怎么回事？

eureka client初始化的时候，就会自动发送个请求到eureka server拉一次清抓取全量的注册表，这一讲，我们来看看eureka server端如何处理抓取全量注册表的请求的，eureka client发送的请求是：http://localhost:8080/v2/apps/，get请求 ApplicationsResource的getContainers()方法，获取全量注册表的方法

com.netflix.eureka.registry.ResponseCache，响应缓存接口，接口代码如下：

public interface ResponseCache {

    String get(Key key);
    
    byte[] getGZIP(Key key);
    
    void invalidate(String appName, @Nullable String vipAddress, @Nullable String secureVipAddress);

    AtomicLong getVersionDelta();
    
    AtomicLong getVersionDeltaWithRegions();

}

com.netflix.eureka.registry.Key，缓存键。实现代码如下：

public class Key {

    public enum KeyType {
        JSON, XML
    }

    /**
     * An enum to define the entity that is stored in this cache for this key.
     */
    public enum EntityType {
        Application, VIP, SVIP
    }

    /**
     * 实体名
     */
    private final String entityName;
    /**
     * TODO[0009]：RemoteRegionRegistry
     */
    private final String[] regions;
    /**
     * 请求参数类型
     */
    private final KeyType requestType;
    /**
     * 请求 API 版本号
     */
    private final Version requestVersion;
    /**
     * hashKey
     */
    private final String hashKey;
    /**
     * 实体类型
     *
     * {@link EntityType}
     */
    private final EntityType entityType;
    /**
     * {@link EurekaAccept}
     */
    private final EurekaAccept eurekaAccept;
    
    public Key(EntityType entityType, String entityName, KeyType type, Version v, EurekaAccept eurekaAccept, @Nullable String[] regions) {
        this.regions = regions;
        this.entityType = entityType;
        this.entityName = entityName;
        this.requestType = type;
        this.requestVersion = v;
        this.eurekaAccept = eurekaAccept;
        hashKey = this.entityType + this.entityName + (null != this.regions ? Arrays.toString(this.regions) : "")
                + requestType.name() + requestVersion.name() + this.eurekaAccept.name();
    }
    
    public Key(EntityType entityType, String entityName, KeyType type, Version v, EurekaAccept eurekaAccept, @Nullable String[] regions) {
        this.regions = regions;
        this.entityType = entityType;
        this.entityName = entityName;
        this.requestType = type;
        this.requestVersion = v;
        this.eurekaAccept = eurekaAccept;
        hashKey = this.entityType + this.entityName + (null != this.regions ? Arrays.toString(this.regions) : "")
                + requestType.name() + requestVersion.name() + this.eurekaAccept.name();
    }
    
    @Override
    public int hashCode() {
        String hashKey = getHashKey();
        return hashKey.hashCode();
    }

    @Override
    public boolean equals(Object other) {
        if (other instanceof Key) {
            return getHashKey().equals(((Key) other).getHashKey());
        } else {
            return false;
        }
    }
    
}

具体的缓存是在它的实现类ResponseCacheImpl中，在ResponseCacheImpl初始化的时候，就会定义一个readWriteCacheMap，指定它的一些策略。

   ResponseCacheImpl(EurekaServerConfig serverConfig, ServerCodecs serverCodecs, AbstractInstanceRegistry registry) {
        this.serverConfig = serverConfig;
        this.serverCodecs = serverCodecs;
        this.shouldUseReadOnlyResponseCache = serverConfig.shouldUseReadOnlyResponseCache();
        this.registry = registry;

        long responseCacheUpdateIntervalMs = serverConfig.getResponseCacheUpdateIntervalMs();
        this.readWriteCacheMap =
                CacheBuilder.newBuilder().initialCapacity(serverConfig.getInitialCapacityOfResponseCache())
                        .expireAfterWrite(serverConfig.getResponseCacheAutoExpirationInSeconds(), TimeUnit.SECONDS)
                        .removalListener(new RemovalListener<Key, Value>() {
                            @Override
                            public void onRemoval(RemovalNotification<Key, Value> notification) {
                                Key removedKey = notification.getKey();
                                if (removedKey.hasRegions()) {
                                    Key cloneWithNoRegions = removedKey.cloneWithoutRegions();
                                    regionSpecificKeys.remove(cloneWithNoRegions, removedKey);
                                }
                            }
                        })
            //这里的话，就是如果在缓存中找不到的话，就会generatePayload从这里获取，抓取全量注册表，后面会单独写个demo测试一下。
                        .build(new CacheLoader<Key, Value>() {
                            @Override
                            public Value load(Key key) throws Exception {
                                if (key.hasRegions()) {
                                    Key cloneWithNoRegions = key.cloneWithoutRegions();
                                    regionSpecificKeys.put(cloneWithNoRegions, key);
                                }
                                Value value = generatePayload(key);
                                return value;
                            }
                        });

        if (shouldUseReadOnlyResponseCache) {
            timer.schedule(getCacheUpdateTask(),
                    new Date(((System.currentTimeMillis() / responseCacheUpdateIntervalMs) * responseCacheUpdateIntervalMs)
                            + responseCacheUpdateIntervalMs),
                    responseCacheUpdateIntervalMs);
        }

        try {
            Monitors.registerObject(this);
        } catch (Throwable e) {
            logger.warn("Cannot register the JMX monitor for the InstanceRegistry", e);
        }
    }

下面的代码就是先走

      public String get(final Key key) {
        return get(key, shouldUseReadOnlyResponseCache);
    }

    @VisibleForTesting
    String get(final Key key, boolean useReadOnlyCache) {
        Value payload = getValue(key, useReadOnlyCache);
        if (payload == null || payload.getPayload().equals(EMPTY_PAYLOAD)) {
            return null;
        } else {
            return payload.getPayload();
        }
    }  

  @VisibleForTesting
    Value getValue(final Key key, boolean useReadOnlyCache) {
        Value payload = null;
        try {
            if (useReadOnlyCache) {
                final Value currentPayload = readOnlyCacheMap.get(key);
                if (currentPayload != null) {
                    payload = currentPayload;
                } else {
                    payload = readWriteCacheMap.get(key);
                    readOnlyCacheMap.put(key, payload);
                }
            } else {
                payload = readWriteCacheMap.get(key);
            }
        } catch (Throwable t) {
            logger.error("Cannot get value for key : {}", key, t);
        }
        return payload;
    }

#get(key, useReadOnlyCache) 方法，读取缓存。其中 shouldUseReadOnlyResponseCache 通过配置 eureka.shouldUseReadOnlyResponseCache = true (默认值 ：true ) 开启只读缓存。如果你对数据的一致性有相对高的要求，可以关闭这个开关，当然因为少了 readOnlyCacheMap ，性能会有一定的下降。

过期策略

主动过期

进行搜索一下，发现注册，下线、故障的时候，都会调用这个方法，那就去看一下这个方法到底做了什么

应用实例注册、下线、过期时，调用 ResponseCacheImpl#invalidate() 方法，主动过期读写缓存( readWriteCacheMap )，实现代码如下：

    @Override
    public void invalidate(String appName, @Nullable String vipAddress, @Nullable String secureVipAddress) {
        for (Key.KeyType type : Key.KeyType.values()) {
            for (Version v : Version.values()) {
                invalidate(
                        new Key(Key.EntityType.Application, appName, type, v, EurekaAccept.full),
                        new Key(Key.EntityType.Application, appName, type, v, EurekaAccept.compact),
                        new Key(Key.EntityType.Application, ALL_APPS, type, v, EurekaAccept.full),
                        new Key(Key.EntityType.Application, ALL_APPS, type, v, EurekaAccept.compact),
                        new Key(Key.EntityType.Application, ALL_APPS_DELTA, type, v, EurekaAccept.full),
                        new Key(Key.EntityType.Application, ALL_APPS_DELTA, type, v, EurekaAccept.compact)
                );
                if (null != vipAddress) {
                    invalidate(new Key(Key.EntityType.VIP, vipAddress, type, v, EurekaAccept.full));
                }
                if (null != secureVipAddress) {
                    invalidate(new Key(Key.EntityType.SVIP, secureVipAddress, type, v, EurekaAccept.full));
                }
            }
        }
    }


    public void invalidate(Key... keys) {
        for (Key key : keys) {
            logger.debug("Invalidating the response cache key : {} {} {} {}, {}",
                    key.getEntityType(), key.getName(), key.getVersion(), key.getType(), key.getEurekaAccept());

            readWriteCacheMap.invalidate(key);
            Collection<Key> keysWithRegions = regionSpecificKeys.get(key);
            if (null != keysWithRegions && !keysWithRegions.isEmpty()) {
                for (Key keysWithRegion : keysWithRegions) {
                    logger.debug("Invalidating the response cache key : {} {} {} {} {}",
                            key.getEntityType(), key.getName(), key.getVersion(), key.getType(), key.getEurekaAccept());
                    readWriteCacheMap.invalidate(keysWithRegion);
                }
            }
        }
    }

将readWriteCacheMap中的ALL_APPS缓存key，对应的缓存给过期掉

被动过期

• 配置 eureka.responseCacheAutoExpirationInSeconds ，设置写入过期时长。默认值 ：180 秒。

定时刷新

初始化定时任务。配置 eureka.responseCacheUpdateIntervalMs，设置任务执行频率，默认值 ：30 * 1000 毫秒。对比 readWriteCacheMap 和 readOnlyCacheMap 的缓存值，若不一致，以前者为主。通过这样的方式，实现了 readOnlyCacheMap 的定时过期。

        if (shouldUseReadOnlyResponseCache) {
            timer.schedule(getCacheUpdateTask(),
                    new Date(((System.currentTimeMillis() / responseCacheUpdateIntervalMs) * responseCacheUpdateIntervalMs)
                            + responseCacheUpdateIntervalMs),
                    responseCacheUpdateIntervalMs);
        }

    private TimerTask getCacheUpdateTask() {
        return new TimerTask() {
            @Override
            public void run() {
                logger.debug("Updating the client cache from response cache");
                for (Key key : readOnlyCacheMap.keySet()) {
                    if (logger.isDebugEnabled()) {
                        logger.debug("Updating the client cache from response cache for key : {} {} {} {}",
                                key.getEntityType(), key.getName(), key.getVersion(), key.getType());
                    }
                    try {
                        CurrentRequestVersion.set(key.getVersion());
                        Value cacheValue = readWriteCacheMap.get(key);
                        Value currentCacheValue = readOnlyCacheMap.get(key);
                        if (cacheValue != currentCacheValue) { //对比，如果不一致的话，将会读取读写缓存中的记录，将只读
                            readOnlyCacheMap.put(key, cacheValue);
                        }
                    } catch (Throwable th) {
                        logger.error("Error while updating the client cache from response cache for key {}", key.toStringCompact(), th);
                    } finally {
                        CurrentRequestVersion.remove();
                    }
                }
            }
        };
    }

测试

    @SneakyThrows
    public static void main(String[] args) {
        LoadingCache<String,String> cahceBuilder= CacheBuilder
                .newBuilder()
                .expireAfterWrite(2L, TimeUnit.SECONDS)
                .build(new CacheLoader<String, String>(){
                    @Override
                    public String load(String key) throws Exception {
                        System.out.println("缓存中没有。。。");
                        String strProValue="hello "+key+"!";
                        return strProValue;
                    }

                });

        System.out.println("jerry value:"+cahceBuilder.get("jerry"));
        System.out.println("jerry value:"+cahceBuilder.get("jerry"));
        Thread.sleep(2000);
        System.out.println("jerry value:"+cahceBuilder.get("jerry"));
    }