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本文主要基于 Eureka 1.8.X 版本
- 1. 概述
- 2. Eureka-Client 发起全量获取
- 2.1 初始化全量获取
- 2.2 定时获取
- 2.3 刷新注册信息缓存
- 2.4 发起获取注册信息
- 3. Eureka-Server 接收全量获取
- 3.1 接收全量获取请求
- 3.2 响应缓存 ResponseCache
- 3.3 缓存读取
- 3.4 主动过期读写缓存
- 3.5 被动过期读写缓存
- 3.6 定时刷新只读缓存
- 666. 彩蛋
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1. 概述
本文主要分享 Eureka-Client 向 Eureka-Server 获取全量注册信息的过程。
Eureka-Client 获取注册信息,分成全量获取和增量获取。默认配置下,Eureka-Client 启动时,首先执行一次全量获取进行本地缓存注册信息,而后每 30 秒增量获取刷新本地缓存( 非“正常”情况下会是全量获取 )。
本文重点在于全量获取。
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2. Eureka-Client 发起全量获取
本小节调用关系如下:
2.1 初始化全量获取
Eureka-Client 启动时,首先执行一次全量获取进行本地缓存注册信息,首先代码如下:
// DiscoveryClient.java
/**
* Applications 在本地的缓存
*/
private final AtomicReference localRegionApps = new AtomicReference();
DiscoveryClient(ApplicationInfoManager applicationInfoManager, EurekaClientConfig config, AbstractDiscoveryClientOptionalArgs args,
Provider backupRegistryProvider) {
// ... 省略无关代码
// 【3.2.5】初始化应用集合在本地的缓存
localRegionApps.set(new Applications());
// ... 省略无关代码
// 【3.2.12】从 Eureka-Server 拉取注册信息
if (clientConfig.shouldFetchRegistry() && !fetchRegistry(false)) {
fetchRegistryFromBackup();
}
// ... 省略无关代码
}
-
com.netflix.discovery.shared.Applications
,注册的应用集合。较为容易理解,点击 链接 链接查看带中文注释的类,这里就不啰嗦了。Applications 与 InstanceInfo 类关系如下: -
配置
eureka.shouldFetchRegistry = true
,开启从 Eureka-Server 获取注册信息。默认值:true
。 -
调用
#fetchRegistry(false)
方法,从 Eureka-Server 全量获取注册信息,在 「2.4 发起获取注册信息」 详细解析。
2.2 定时获取
Eureka-Client 在初始化过程中,创建获取注册信息线程,固定间隔向 Eureka-Server 发起获取注册信息( fetch ),刷新本地注册信息缓存。实现代码如下:
// DiscoveryClient.java
DiscoveryClient(ApplicationInfoManager applicationInfoManager, EurekaClientConfig config, AbstractDiscoveryClientOptionalArgs args,
Provider backupRegistryProvider) {
// ... 省略无关代码
// 【3.2.9】初始化线程池
// default size of 2 - 1 each for heartbeat and cacheRefresh
scheduler = Executors.newScheduledThreadPool(2,
new ThreadFactoryBuilder()
.setNameFormat("DiscoveryClient-%d")
.setDaemon(true)
.build());
cacheRefreshExecutor = new ThreadPoolExecutor(
1, clientConfig.getCacheRefreshExecutorThreadPoolSize(), 0, TimeUnit.SECONDS,
new SynchronousQueue(),
new ThreadFactoryBuilder()
.setNameFormat("DiscoveryClient-CacheRefreshExecutor-%d")
.setDaemon(true)
.build()
); // use direct handoff
// ... 省略无关代码
// 【3.2.14】初始化定时任务
initScheduledTasks();
// ... 省略无关代码
}
private void initScheduledTasks() {
// 向 Eureka-Server 心跳(续租)执行器
if (clientConfig.shouldFetchRegistry()) {
// registry cache refresh timer
int registryFetchIntervalSeconds = clientConfig.getRegistryFetchIntervalSeconds();
int expBackOffBound = clientConfig.getCacheRefreshExecutorExponentialBackOffBound();
scheduler.schedule(
new TimedSupervisorTask(
"cacheRefresh",
scheduler,
cacheRefreshExecutor,
registryFetchIntervalSeconds,
TimeUnit.SECONDS,
expBackOffBound,
new CacheRefreshThread()
),
registryFetchIntervalSeconds, TimeUnit.SECONDS);
}
// ... 省略无关代码
}
-
初始化定时任务代码,和续租的定时任务代码类似,在 《Eureka 源码解析 —— 应用实例注册发现(二)之续租 》 有详细解析,这里不重复分享。
-
com.netflix.discovery.DiscoveryClient.CacheRefreshThread
,注册信息缓存刷新任务,实现代码如下:class CacheRefreshThread implements Runnable { public void run() { refreshRegistry(); } }
- 调用
#refreshRegistry(false)
方法,刷新注册信息缓存,在 「2.3 刷新注册信息缓存」 详细解析。
- 调用
2.3 刷新注册信息缓存
调用 #refreshRegistry(false)
方法,刷新注册信息缓存,实现代码如下:
// DiscoveryClient.java
1: void refreshRegistry() {
2: try {
3: // TODO 芋艿:TODO[0009]:RemoteRegionRegistry
4: boolean isFetchingRemoteRegionRegistries = isFetchingRemoteRegionRegistries();
5:
6: boolean remoteRegionsModified = false;
7: // This makes sure that a dynamic change to remote regions to fetch is honored.
8: String latestRemoteRegions = clientConfig.fetchRegistryForRemoteRegions();
9: if (null != latestRemoteRegions) {
10: String currentRemoteRegions = remoteRegionsToFetch.get();
11: if (!latestRemoteRegions.equals(currentRemoteRegions)) {
12: // Both remoteRegionsToFetch and AzToRegionMapper.regionsToFetch need to be in sync
13: synchronized (instanceRegionChecker.getAzToRegionMapper()) {
14: if (remoteRegionsToFetch.compareAndSet(currentRemoteRegions, latestRemoteRegions)) {
15: String[] remoteRegions = latestRemoteRegions.split(",");
16: remoteRegionsRef.set(remoteRegions);
17: instanceRegionChecker.getAzToRegionMapper().setRegionsToFetch(remoteRegions);
18: remoteRegionsModified = true;
19: } else {
20: logger.info("Remote regions to fetch modified concurrently," +
21: " ignoring change from {} to {}", currentRemoteRegions, latestRemoteRegions);
22: }
23: }
24: } else {
25: // Just refresh mapping to reflect any DNS/Property change
26: instanceRegionChecker.getAzToRegionMapper().refreshMapping();
27: }
28: }
29:
30: boolean success = fetchRegistry(remoteRegionsModified);
31: if (success) {
32: // 设置 注册信息的应用实例数
33: registrySize = localRegionApps.get().size();
34: // 设置 最后获取注册信息时间
35: lastSuccessfulRegistryFetchTimestamp = System.currentTimeMillis();
36: }
37:
38: // 打印日志
39: if (logger.isDebugEnabled()) {
40: StringBuilder allAppsHashCodes = new StringBuilder();
41: allAppsHashCodes.append("Local region apps hashcode: ");
42: allAppsHashCodes.append(localRegionApps.get().getAppsHashCode());
43: allAppsHashCodes.append(", is fetching remote regions? ");
44: allAppsHashCodes.append(isFetchingRemoteRegionRegistries);
45: for (Map.Entry entry : remoteRegionVsApps.entrySet()) {
46: allAppsHashCodes.append(", Remote region: ");
47: allAppsHashCodes.append(entry.getKey());
48: allAppsHashCodes.append(" , apps hashcode: ");
49: allAppsHashCodes.append(entry.getValue().getAppsHashCode());
50: }
51: logger.debug("Completed cache refresh task for discovery. All Apps hash code is {} ",
52: allAppsHashCodes.toString());
53: }
54: } catch (Throwable e) {
55: logger.error("Cannot fetch registry from server", e);
56: }
57: }
-
第 3 至 28 行 :TODO[0009]:RemoteRegionRegistry
-
第 30 行 :调用
#fetchRegistry(false)
方法,从 Eureka-Server 获取注册信息,在 「2.4 发起获取注册信息」 详细解析。 -
第 31 至 36 行 :获取注册信息成功,设置注册信息的应用实例数,最后获取注册信息时间。变量代码如下:
/** * 注册信息的应用实例数 */ private volatile int registrySize = 0; /** * 最后成功从 Eureka-Server 拉取注册信息时间戳 */ private volatile long lastSuccessfulRegistryFetchTimestamp = -1;
-
第 38 至 53 行 :打印调试日志。
-
第 54 至 56 行 :打印异常日志。
2.4 发起获取注册信息
调用 #fetchRegistry(false)
方法,从 Eureka-Server 获取注册信息( 根据条件判断,可能是全量,也可能是增量 ),实现代码如下:
1: private boolean fetchRegistry(boolean forceFullRegistryFetch) {
2: Stopwatch tracer = FETCH_REGISTRY_TIMER.start();
3:
4: try {
5: // 获取 本地缓存的注册的应用实例集合
6: // If the delta is disabled or if it is the first time, get all
7: // applications
8: Applications applications = getApplications();
9:
10: // 全量获取
11: if (clientConfig.shouldDisableDelta() // 禁用增量获取
12: || (!Strings.isNullOrEmpty(clientConfig.getRegistryRefreshSingleVipAddress()))
13: || forceFullRegistryFetch
14: || (applications == null) // 空
15: || (applications.getRegisteredApplications().size() == 0) // 空
16: || (applications.getVersion() == -1)) //Client application does not have latest library supporting delta
17: {
18: logger.info("Disable delta property : {}", clientConfig.shouldDisableDelta());
19: logger.info("Single vip registry refresh property : {}", clientConfig.getRegistryRefreshSingleVipAddress());
20: logger.info("Force full registry fetch : {}", forceFullRegistryFetch);
21: logger.info("Application is null : {}", (applications == null));
22: logger.info("Registered Applications size is zero : {}",
23: (applications.getRegisteredApplications().size() == 0));
24: logger.info("Application version is -1: {}", (applications.getVersion() == -1));
25: // 执行 全量获取
26: getAndStoreFullRegistry();
27: } else {
28: // 执行 增量获取
29: getAndUpdateDelta(applications);
30: }
31: // 设置 应用集合 hashcode
32: applications.setAppsHashCode(applications.getReconcileHashCode());
33: // 打印 本地缓存的注册的应用实例数量
34: logTotalInstances();
35: } catch (Throwable e) {
36: logger.error(PREFIX + appPathIdentifier + " - was unable to refresh its cache! status = " + e.getMessage(), e);
37: return false;
38: } finally {
39: if (tracer != null) {
40: tracer.stop();
41: }
42: }
43:
44: // Notify about cache refresh before updating the instance remote status
45: onCacheRefreshed();
46:
47: // Update remote status based on refreshed data held in the cache
48: updateInstanceRemoteStatus();
49:
50: // registry was fetched successfully, so return true
51: return true;
52: }
-
第 5 至 8 行 :获取本地缓存的注册的应用实例集合,实现代码如下:
public Applications getApplications() { return localRegionApps.get(); }
-
第 10 至 26 行 :全量获取注册信息。
- 第 11 行 :配置
eureka.disableDelta = true
,禁用增量获取注册信息。默认值:false
。 - 第 12 行 :只获得一个
vipAddress
对应的应用实例们的注册信息。 - 第 13 行 :方法参数
forceFullRegistryFetch
强制全量获取注册信息。 - 第 14 至 15 行 :本地缓存为空。
- 第 25 至 26 行 :调用
#getAndStoreFullRegistry()
方法,全量获取注册信息,并设置到本地缓存。下文详细解析。
- 第 11 行 :配置
-
第 27 至 30 行 :增量获取注册信息,并刷新本地缓存,在 《Eureka 源码解析 —— 应用实例注册发现 (七)之增量获取》 详细解析。
-
第 31 至 32 行 :计算应用集合
hashcode
。该变量用于校验增量获取的注册信息和 Eureka-Server 全量的注册信息是否一致( 完整 ),在 《Eureka 源码解析 —— 应用实例注册发现 (七)之增量获取》 详细解析。 -
第 33 至 34 行 :打印调试日志,输出本地缓存的注册的应用实例数量。实现代码如下:
private void logTotalInstances() { if (logger.isDebugEnabled()) { int totInstances = 0; for (Application application : getApplications().getRegisteredApplications()) { totInstances += application.getInstancesAsIsFromEureka().size(); } logger.debug("The total number of all instances in the client now is {}", totInstances); } }
-
第 44 至 45 行 :触发 CacheRefreshedEvent 事件,事件监听器执行。目前 Eureka 未提供默认的该事件监听器。
-
#onCacheRefreshed()
方法,实现代码如下:/** * Eureka 事件监听器 */ private final CopyOnWriteArraySet
eventListeners = new CopyOnWriteArraySet<>(); protected void onCacheRefreshed() { fireEvent(new CacheRefreshedEvent()); } protected void fireEvent(final EurekaEvent event) { for (EurekaEventListener listener : eventListeners) { listener.onEvent(event); } } - x
-
笔者的YY :你可以实现自定义的事件监听器监听 CacheRefreshedEvent 事件,以达到持久化最新的注册信息到存储器( 例如,本地文件 ),通过这样的方式,配合实现 BackupRegistry 接口读取存储器。BackupRegistry 接口调用如下:
// 【3.2.12】从 Eureka-Server 拉取注册信息 if (clientConfig.shouldFetchRegistry() && !fetchRegistry(false)) { fetchRegistryFromBackup(); }
-
-
第47 至 48 行 :更新本地缓存的当前应用实例在 Eureka-Server 的状态。
1: private volatile InstanceInfo.InstanceStatus lastRemoteInstanceStatus = InstanceInfo.InstanceStatus.UNKNOWN; 2: 3: private synchronized void updateInstanceRemoteStatus() { 4: // Determine this instance's status for this app and set to UNKNOWN if not found 5: InstanceInfo.InstanceStatus currentRemoteInstanceStatus = null; 6: if (instanceInfo.getAppName() != null) { 7: Application app = getApplication(instanceInfo.getAppName()); 8: if (app != null) { 9: InstanceInfo remoteInstanceInfo = app.getByInstanceId(instanceInfo.getId()); 10: if (remoteInstanceInfo != null) { 11: currentRemoteInstanceStatus = remoteInstanceInfo.getStatus(); 12: } 13: } 14: } 15: if (currentRemoteInstanceStatus == null) { 16: currentRemoteInstanceStatus = InstanceInfo.InstanceStatus.UNKNOWN; 17: } 18: 19: // Notify if status changed 20: if (lastRemoteInstanceStatus != currentRemoteInstanceStatus) { 21: onRemoteStatusChanged(lastRemoteInstanceStatus, currentRemoteInstanceStatus); 22: lastRemoteInstanceStatus = currentRemoteInstanceStatus; 23: } 24: }
-
第 4 至 14 行 :从注册信息中获取当前应用在 Eureka-Server 的状态。
-
第 19 至 23 行 :对比本地缓存和最新的的当前应用实例在 Eureka-Server 的状态,若不同,更新本地缓存( 注意,只更新该缓存变量,不更新本地当前应用实例的状态(
instanceInfo.status
) ),触发 StatusChangeEvent 事件,事件监听器执行。目前 Eureka 未提供默认的该事件监听器。#onRemoteStatusChanged(...)
实现代码如下:protected void onRemoteStatusChanged(InstanceInfo.InstanceStatus oldStatus, InstanceInfo.InstanceStatus newStatus) { fireEvent(new StatusChangeEvent(oldStatus, newStatus)); }
- Eureka-Client 本地应用实例与 Eureka-Server 的该应用实例状态不同的原因,因为应用实例的覆盖状态,在 《Eureka 源码解析 —— 应用实例注册发现 (八)之覆盖状态》 有详细解析。
-
2.4.1 全量获取注册信息,并设置到本地缓存
调用 #getAndStoreFullRegistry()
方法,全量获取注册信息,并设置到本地缓存。下实现代码如下:
1: private void getAndStoreFullRegistry() throws Throwable {
2: long currentUpdateGeneration = fetchRegistryGeneration.get();
3:
4: logger.info("Getting all instance registry info from the eureka server");
5:
6: // 全量获取注册信息
7: Applications apps = null;
8: EurekaHttpResponse httpResponse = clientConfig.getRegistryRefreshSingleVipAddress() == null
9: ? eurekaTransport.queryClient.getApplications(remoteRegionsRef.get())
10: : eurekaTransport.queryClient.getVip(clientConfig.getRegistryRefreshSingleVipAddress(), remoteRegionsRef.get());
11: if (httpResponse.getStatusCode() == Status.OK.getStatusCode()) {
12: apps = httpResponse.getEntity();
13: }
14: logger.info("The response status is {}", httpResponse.getStatusCode());
15:
16: // 设置到本地缓存
17: if (apps == null) {
18: logger.error("The application is null for some reason. Not storing this information");
19: } else if (fetchRegistryGeneration.compareAndSet(currentUpdateGeneration, currentUpdateGeneration + 1)) {
20: localRegionApps.set(this.filterAndShuffle(apps));
21: logger.debug("Got full registry with apps hashcode {}", apps.getAppsHashCode());
22: } else {
23: logger.warn("Not updating applications as another thread is updating it already");
24: }
25: }
-
第 6 至 14 行 :全量获取注册信息,实现代码如下:
// AbstractJerseyEurekaHttpClient.java @Override public EurekaHttpResponse
getApplications(String... regions) { return getApplicationsInternal("apps/", regions); } private EurekaHttpResponse getApplicationsInternal(String urlPath, String[] regions) { ClientResponse response = null; String regionsParamValue = null; try { WebResource webResource = jerseyClient.resource(serviceUrl).path(urlPath); if (regions != null && regions.length > 0) { regionsParamValue = StringUtil.join(regions); webResource = webResource.queryParam("regions", regionsParamValue); } Builder requestBuilder = webResource.getRequestBuilder(); addExtraHeaders(requestBuilder); response = requestBuilder.accept(MediaType.APPLICATION_JSON_TYPE).get(ClientResponse.class); // JSON Applications applications = null; if (response.getStatus() == Status.OK.getStatusCode() && response.hasEntity()) { applications = response.getEntity(Applications.class); } return anEurekaHttpResponse(response.getStatus(), Applications.class) .headers(headersOf(response)) .entity(applications) .build(); } finally { if (logger.isDebugEnabled()) { logger.debug("Jersey HTTP GET {}/{}?{}; statusCode={}", serviceUrl, urlPath, regionsParamValue == null ? "" : "regions=" + regionsParamValue, response == null ? "N/A" : response.getStatus() ); } if (response != null) { response.close(); } } } - 调用
AbstractJerseyEurekaHttpClient#getApplications(...)
方法,GET 请求 Eureka-Server 的apps/
接口,参数为regions
,返回格式为 JSON ,实现全量获取注册信息。
- 调用
-
第 16 至 24 行 :设置到本地注册信息缓存。
- 第 19 行 :TODO[0025] :并发更新的情况???
- 第 20 行 :调用
#filterAndShuffle(...)
方法,根据配置eureka.shouldFilterOnlyUpInstances = true
( 默认值 :true
) 过滤只保留状态为开启( UP )的应用实例,并随机打乱应用实例顺序。打乱后,实现调用应用服务的随机性。代码比较易懂,点击链接查看方法实现。
3. Eureka-Server 接收全量获取
3.1 接收全量获取请求
com.netflix.eureka.resources.ApplicationsResource
,处理所有应用的请求操作的 Resource ( Controller )。
接收全量获取请求,映射 ApplicationsResource#getContainers()
方法,实现代码如下:
1: @GET
2: public Response getContainers(@PathParam("version") String version,
3: @HeaderParam(HEADER_ACCEPT) String acceptHeader,
4: @HeaderParam(HEADER_ACCEPT_ENCODING) String acceptEncoding,
5: @HeaderParam(EurekaAccept.HTTP_X_EUREKA_ACCEPT) String eurekaAccept,
6: @Context UriInfo uriInfo,
7: @Nullable @QueryParam("regions") String regionsStr) {
8: // TODO[0009]:RemoteRegionRegistry
9: boolean isRemoteRegionRequested = null != regionsStr && !regionsStr.isEmpty();
10: String[] regions = null;
11: if (!isRemoteRegionRequested) {
12: EurekaMonitors.GET_ALL.increment();
13: } else {
14: regions = regionsStr.toLowerCase().split(",");
15: Arrays.sort(regions); // So we don't have different caches for same regions queried in different order.
16: EurekaMonitors.GET_ALL_WITH_REMOTE_REGIONS.increment();
17: }
18:
19: // 判断是否可以访问
20: // Check if the server allows the access to the registry. The server can
21: // restrict access if it is not
22: // ready to serve traffic depending on various reasons.
23: if (!registry.shouldAllowAccess(isRemoteRegionRequested)) {
24: return Response.status(Status.FORBIDDEN).build();
25: }
26:
27: // API 版本
28: CurrentRequestVersion.set(Version.toEnum(version));
29:
30: // 返回数据格式
31: KeyType keyType = Key.KeyType.JSON;
32: String returnMediaType = MediaType.APPLICATION_JSON;
33: if (acceptHeader == null || !acceptHeader.contains(HEADER_JSON_VALUE)) {
34: keyType = Key.KeyType.XML;
35: returnMediaType = MediaType.APPLICATION_XML;
36: }
37:
38: // 响应缓存键( KEY )
39: Key cacheKey = new Key(Key.EntityType.Application,
40: ResponseCacheImpl.ALL_APPS,
41: keyType, CurrentRequestVersion.get(), EurekaAccept.fromString(eurekaAccept), regions
42: );
43:
44: //
45: Response response;
46: if (acceptEncoding != null && acceptEncoding.contains(HEADER_GZIP_VALUE)) {
47: response = Response.ok(responseCache.getGZIP(cacheKey))
48: .header(HEADER_CONTENT_ENCODING, HEADER_GZIP_VALUE)
49: .header(HEADER_CONTENT_TYPE, returnMediaType)
50: .build();
51: } else {
52: response = Response.ok(responseCache.get(cacheKey))
53: .build();
54: }
55: return response;
56: }
-
第 8 至 17 行 :TODO[0009]:RemoteRegionRegistry
-
第 19 至 25 行 :Eureka-Server 启动完成,但是未处于就绪( Ready )状态,不接受请求全量应用注册信息的请求,例如,Eureka-Server 启动时,未能从其他 Eureka-Server 集群的节点获取到应用注册信息。
-
第 27 至 28 行 :设置 API 版本号。默认最新 API 版本为 V2。实现代码如下:
public enum Version { V1, V2; public static Version toEnum(String v) { for (Version version : Version.values()) { if (version.name().equalsIgnoreCase(v)) { return version; } } //Defaults to v2 return V2; } }
-
第 30 至 36 行 :设置返回数据格式,默认 JSON 。
-
第 38 至 42 行 :创建响应缓存( ResponseCache ) 的键( KEY ),在 「3.2.1 缓存键」详细解析。
-
第 44 至 55 行 :从响应缓存读取全量注册信息,在 「3.3 缓存读取」详细解析。
3.2 响应缓存 ResponseCache
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();
}
-
其中,
#getVersionDelta()
和#getVersionDeltaWithRegions()
已经废弃。这里保留的原因主要是考虑兼容性。判断依据来自如下代码:// Applications.java @Deprecated public void setVersion(Long version) { this.versionDelta = version; } // AbstractInstanceRegistry.java public Applications getApplicationDeltas() { // ... 省略其它无关代码 apps.setVersion(responseCache.getVersionDelta().get()); // 唯一调用到 ResponseCache#getVersionDelta() 方法的地方 // ... 省略其它无关代码 }
-
#get()
:获得缓存。 -
#getGZIP()
:获得缓存,并 GZIP 。 -
#invalidate()
:过期缓存。
3.2.1 缓存键
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;
}
}
}
3.2.2 响应缓存实现类
com.netflix.eureka.registry.ResponseCacheImpl
,响应缓存实现类。
在 ResponseCacheImpl 里,将缓存拆分成两层 :
- 只读缓存(
readOnlyCacheMap
) - 固定过期 + 固定大小的读写缓存(
readWriteCacheMap
)
默认配置下,缓存读取策略如下:
缓存过期策略如下:
- 应用实例注册、下线、过期时,只只只过期
readWriteCacheMap
。 readWriteCacheMap
写入一段时间( 可配置 )后自动过期。- 定时任务对比
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。
注意:应用实例注册、下线、过期时,不会很快刷新到 readWriteCacheMap
缓存里。默认配置下,最大延迟在 30 秒。
为什么可以使用缓存?
在 CAP 的选择上,Eureka 选择了 AP ,不同于 Zookeeper 选择了 CP 。
推荐阅读:
- 《为什么不应该使用ZooKeeper做服务发现》
- 《Spring Cloud Netflix Eureka源码导读与原理分析》「4. 作为服务注册中心,Eureka比Zookeeper好在哪里」
3.3 缓存读取
调用 ResponseCacheImpl#get(...)
方法( #getGzip(...)
类似 ),读取缓存,实现代码如下:
1: private final ConcurrentMap readOnlyCacheMap = new ConcurrentHashMap();
2:
3: private final LoadingCache readWriteCacheMap;
4:
5: public String get(final Key key) {
6: return get(key, shouldUseReadOnlyResponseCache);
7: }
8:
9: String get(final Key key, boolean useReadOnlyCache) {
10: Value payload = getValue(key, useReadOnlyCache);
11: if (payload == null || payload.getPayload().equals(EMPTY_PAYLOAD)) {
12: return null;
13: } else {
14: return payload.getPayload();
15: }
16: }
17:
18: Value getValue(final Key key, boolean useReadOnlyCache) {
19: Value payload = null;
20: try {
21: if (useReadOnlyCache) {
22: final Value currentPayload = readOnlyCacheMap.get(key);
23: if (currentPayload != null) {
24: payload = currentPayload;
25: } else {
26: payload = readWriteCacheMap.get(key);
27: readOnlyCacheMap.put(key, payload);
28: }
29: } else {
30: payload = readWriteCacheMap.get(key);
31: }
32: } catch (Throwable t) {
33: logger.error("Cannot get value for key :" + key, t);
34: }
35: return payload;
36: }
-
第 5 至 7 行 :调用
#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。 -
第 9 至 16 行 :调用
getValue(key, useReadOnlyCache)
方法,读取缓存。从readOnlyCacheMap
和readWriteCacheMap
变量可以看到缓存值的类为com.netflix.eureka.registry.ResponseCacheImpl.Value
,实现代码如下:public class Value { /** * 原始值 */ private final String payload; /** * GZIP 压缩后的值 */ private byte[] gzipped; public Value(String payload) { this.payload = payload; if (!EMPTY_PAYLOAD.equals(payload)) { // ... 省略 GZIP 压缩代码 gzipped = bos.toByteArray(); } else { gzipped = null; } } public String getPayload() { return payload; } public byte[] getGzipped() { return gzipped; } }
-
第 21 至 31 行 :读取缓存。
-
第 21 至 28 行 :先读取
readOnlyCacheMap
。读取不到,读取readWriteCacheMap
,并设置到readOnlyCacheMap
。 -
第 29 至 31 行 :读取
readWriteCacheMap
。 -
readWriteCacheMap
实现代码如下:this.readWriteCacheMap = CacheBuilder.newBuilder().initialCapacity(1000) .expireAfterWrite(serverConfig.getResponseCacheAutoExpirationInSeconds(), TimeUnit.SECONDS) .removalListener(new RemovalListener
() { @Override public void onRemoval(RemovalNotification notification) { // TODO[0009]:RemoteRegionRegistry Key removedKey = notification.getKey(); if (removedKey.hasRegions()) { Key cloneWithNoRegions = removedKey.cloneWithoutRegions(); regionSpecificKeys.remove(cloneWithNoRegions, removedKey); } } }) .build(new CacheLoader () { @Override public Value load(Key key) throws Exception { // // TODO[0009]:RemoteRegionRegistry if (key.hasRegions()) { Key cloneWithNoRegions = key.cloneWithoutRegions(); regionSpecificKeys.put(cloneWithNoRegions, key); } Value value = generatePayload(key); return value; } }); readWriteCacheMap
最大缓存数量为 1000 。- 调用
#generatePayload(key)
方法,生成缓存值。
-
-
#generatePayload(key)
方法,实现代码如下:1: private Value generatePayload(Key key) { 2: Stopwatch tracer = null; 3: try { 4: String payload; 5: switch (key.getEntityType()) { 6: case Application: 7: boolean isRemoteRegionRequested = key.hasRegions(); 8: 9: if (ALL_APPS.equals(key.getName())) { 10: if (isRemoteRegionRequested) { // TODO[0009]:RemoteRegionRegistry 11: tracer = serializeAllAppsWithRemoteRegionTimer.start(); 12: payload = getPayLoad(key, registry.getApplicationsFromMultipleRegions(key.getRegions())); 13: } else { 14: tracer = serializeAllAppsTimer.start(); 15: payload = getPayLoad(key, registry.getApplications()); 16: } 17: } else if (ALL_APPS_DELTA.equals(key.getName())) { 18: // ... 省略增量获取相关的代码 19: } else { 20: tracer = serializeOneApptimer.start(); 21: payload = getPayLoad(key, registry.getApplication(key.getName())); 22: } 23: break; 24: // ... 省略部分代码 25: } 26: return new Value(payload); 27: } finally { 28: if (tracer != null) { 29: tracer.stop(); 30: } 31: } 32: }
- 第 10 至 12 行 :TODO[0009]:RemoteRegionRegistry
- 第 13 至 16 行 :调用
AbstractInstanceRegistry#getApplications()
方法,获得注册的应用集合。后调用#getPayLoad()
方法,将注册的应用集合转换成缓存值。? 这两个方法代码较多,下面详细解析。 - 第 17 至 18 行 :获取增量注册信息的缓存值,在 《Eureka 源码解析 —— 应用实例注册发现 (七)之增量获取》 详细解析。
3.3.1 获得注册的应用集合
调用 AbstractInstanceRegistry#getApplications()
方法,获得注册的应用集合,实现代码如下:
1: // AbstractInstanceRegistry.java
2:
3: private static final String[] EMPTY_STR_ARRAY = new String[0];
4:
5: public Applications getApplications() {
6: boolean disableTransparentFallback = serverConfig.disableTransparentFallbackToOtherRegion();
7: if (disableTransparentFallback) { // TODO[0009]:RemoteRegionRegistry
8: return getApplicationsFromLocalRegionOnly();
9: } else {
10: return getApplicationsFromAllRemoteRegions(); // Behavior of falling back to remote region can be disabled.
11: }
12: }
13:
14: public Applications getApplicationsFromLocalRegionOnly() {
15: return getApplicationsFromMultipleRegions(EMPTY_STR_ARRAY);
16: }
-
第 6 至 8 行 :TODO[0009]:RemoteRegionRegistry
-
第 9 至 16 行 :调用
#getApplicationsFromMultipleRegions(...)
方法,获得注册的应用集合,实现代码如下:1: public Applications getApplicationsFromMultipleRegions(String[] remoteRegions) { 2: // TODO[0009]:RemoteRegionRegistry 3: boolean includeRemoteRegion = null != remoteRegions && remoteRegions.length != 0; 4: logger.debug("Fetching applications registry with remote regions: {}, Regions argument {}", 5: includeRemoteRegion, Arrays.toString(remoteRegions)); 6: if (includeRemoteRegion) { 7: GET_ALL_WITH_REMOTE_REGIONS_CACHE_MISS.increment(); 8: } else { 9: GET_ALL_CACHE_MISS.increment(); 10: } 11: // 获得获得注册的应用集合 12: Applications apps = new Applications(); 13: apps.setVersion(1L); 14: for (Entry
>> entry : registry.entrySet()) { 15: Application app = null; 16: 17: if (entry.getValue() != null) { 18: for (Entry > stringLeaseEntry : entry.getValue().entrySet()) { 19: Lease lease = stringLeaseEntry.getValue(); 20: if (app == null) { 21: app = new Application(lease.getHolder().getAppName()); 22: } 23: app.addInstance(decorateInstanceInfo(lease)); 24: } 25: } 26: if (app != null) { 27: apps.addApplication(app); 28: } 29: } 30: // TODO[0009]:RemoteRegionRegistry 31: if (includeRemoteRegion) { 32: for (String remoteRegion : remoteRegions) { 33: RemoteRegionRegistry remoteRegistry = regionNameVSRemoteRegistry.get(remoteRegion); 34: if (null != remoteRegistry) { 35: Applications remoteApps = remoteRegistry.getApplications(); 36: for (Application application : remoteApps.getRegisteredApplications()) { 37: if (shouldFetchFromRemoteRegistry(application.getName(), remoteRegion)) { 38: logger.info("Application {} fetched from the remote region {}", 39: application.getName(), remoteRegion); 40: 41: Application appInstanceTillNow = apps.getRegisteredApplications(application.getName()); 42: if (appInstanceTillNow == null) { 43: appInstanceTillNow = new Application(application.getName()); 44: apps.addApplication(appInstanceTillNow); 45: } 46: for (InstanceInfo instanceInfo : application.getInstances()) { 47: appInstanceTillNow.addInstance(instanceInfo); 48: } 49: } else { 50: logger.debug("Application {} not fetched from the remote region {} as there exists a " 51: + "whitelist and this app is not in the whitelist.", 52: application.getName(), remoteRegion); 53: } 54: } 55: } else { 56: logger.warn("No remote registry available for the remote region {}", remoteRegion); 57: } 58: } 59: } 60: // 设置 应用集合 hashcode 61: apps.setAppsHashCode(apps.getReconcileHashCode()); 62: return apps; 63: } - 第 2 至 第 10 行 :TODO[0009]:RemoteRegionRegistry
- 第 11 至 29 行 :获得获得注册的应用集合。
- 第 30 至 59 行 :TODO[0009]:RemoteRegionRegistry
- 第 61 行 :计算应用集合
hashcode
。该变量用于校验增量获取的注册信息和 Eureka-Server 全量的注册信息是否一致( 完整 ),在 《Eureka 源码解析 —— 应用实例注册发现 (七)之增量获取》 详细解析。
3.3.2 转换成缓存值
调用 #getPayLoad()
方法,将注册的应用集合转换成缓存值,实现代码如下:
/**
* Generate pay load with both JSON and XML formats for all applications.
*/
private String getPayLoad(Key key, Applications apps) {
// 获得编码器
EncoderWrapper encoderWrapper = serverCodecs.getEncoder(key.getType(), key.getEurekaAccept());
String result;
try {
// 编码
result = encoderWrapper.encode(apps);
} catch (Exception e) {
logger.error("Failed to encode the payload for all apps", e);
return "";
}
if(logger.isDebugEnabled()) {
logger.debug("New application cache entry {} with apps hashcode {}", key.toStringCompact(), apps.getAppsHashCode());
}
return result;
}
3.4 主动过期读写缓存
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:
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));
}
}
}
}
-
调用
#invalidate(keys)
方法,逐个过期每个缓存键值,实现代码如下: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()); // 过期读写缓存 readWriteCacheMap.invalidate(key); // TODO[0009]:RemoteRegionRegistry Collection
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); } } } }
3.5 被动过期读写缓存
读写缓存( readWriteCacheMap
) 写入后,一段时间自动过期,实现代码如下:
expireAfterWrite(serverConfig.getResponseCacheAutoExpirationInSeconds())
- 配置
eureka.responseCacheAutoExpirationInSeconds
,设置写入过期时长。默认值 :180 秒。
3.6 定时刷新只读缓存
定时任务对比 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。实现代码如下:
1: ResponseCacheImpl(EurekaServerConfig serverConfig, ServerCodecs serverCodecs, AbstractInstanceRegistry registry) {
2: // ... 省略无关代码
3:
4: long responseCacheUpdateIntervalMs = serverConfig.getResponseCacheUpdateIntervalMs();
5: // ... 省略无关代码
6:
7: if (shouldUseReadOnlyResponseCache) {
8: timer.schedule(getCacheUpdateTask(),
9: new Date(((System.currentTimeMillis() / responseCacheUpdateIntervalMs) * responseCacheUpdateIntervalMs)
10: + responseCacheUpdateIntervalMs),
11: responseCacheUpdateIntervalMs);
12: }
13:
14: // ... 省略无关代码
15: }
16:
17: private TimerTask getCacheUpdateTask() {
18: return new TimerTask() {
19: @Override
20: public void run() {
21: logger.debug("Updating the client cache from response cache");
22: for (Key key : readOnlyCacheMap.keySet()) { // 循环 readOnlyCacheMap 的缓存键
23: if (logger.isDebugEnabled()) {
24: Object[] args = {key.getEntityType(), key.getName(), key.getVersion(), key.getType()};
25: logger.debug("Updating the client cache from response cache for key : {} {} {} {}", args);
26: }
27: try {
28: CurrentRequestVersion.set(key.getVersion());
29: Value cacheValue = readWriteCacheMap.get(key);
30: Value currentCacheValue = readOnlyCacheMap.get(key);
31: if (cacheValue != currentCacheValue) { // 不一致时,进行替换
32: readOnlyCacheMap.put(key, cacheValue);
33: }
34: } catch (Throwable th) {
35: logger.error("Error while updating the client cache from response cache for key {}", key.toStringCompact(), th);
36: }
37: }
38: }
39: };
40: }
- 第 7 至 12 行 :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。 - 第 17 至 39 行 :创建定时任务。
- 第 22 行 :循环
readOnlyCacheMap
的缓存键。为什么不循环readWriteCacheMap
呢?readOnlyCacheMap
的缓存过期依赖readWriteCacheMap
,因此缓存键会更多。 - 第 28 行 至 33 行 :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。
- 第 22 行 :循环
666. 彩蛋
比预期,比想想,长老多老多的一篇文章。细思极恐。
估计下一篇增量获取会简洁很多。
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