<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-eureka-server</artifactId>
</dependency>
spring-cloud-netflix-eureka-server中spring.factories中EurekaServerAutoConfiguration
/**
* Register the Jersey filter.
* @param eurekaJerseyApp an {@link Application} for the filter to be registered
* @return a jersey {@link FilterRegistrationBean}
*/
@Bean
public FilterRegistrationBean<?> jerseyFilterRegistration(
javax.ws.rs.core.Application eurekaJerseyApp) {
FilterRegistrationBean<Filter> bean = new FilterRegistrationBean<Filter>();
bean.setFilter(new ServletContainer(eurekaJerseyApp));
bean.setOrder(Ordered.LOWEST_PRECEDENCE);
bean.setUrlPatterns(
Collections.singletonList(EurekaConstants.DEFAULT_PREFIX + "/*"));
return bean;
}
ApplicationResource类的addInstance方法接收请求,在对实例的信息进行验证后,向服务注册中心添加实例。
/注意是POST方法
@POST
@Consumes({"application/json", "application/xml"})
public Response addInstance(InstanceInfo info,
@HeaderParam(PeerEurekaNode.HEADER_REPLICATION) String isReplication) {
logger.debug("Registering instance {} (replication={})", info.getId(), isReplication);
// validate that the instanceinfo contains all the necessary required fields
if (isBlank(info.getId())) {
return Response.status(400).entity("Missing instanceId").build();
} else if (isBlank(info.getHostName())) {
return Response.status(400).entity("Missing hostname").build();
} else if (isBlank(info.getIPAddr())) {
return Response.status(400).entity("Missing ip address").build();
} else if (isBlank(info.getAppName())) {
return Response.status(400).entity("Missing appName").build();
} else if (!appName.equals(info.getAppName())) {
return Response.status(400).entity("Mismatched appName, expecting " + appName + " but was " + info.getAppName()).build();
} else if (info.getDataCenterInfo() == null) {
return Response.status(400).entity("Missing dataCenterInfo").build();
} else if (info.getDataCenterInfo().getName() == null) {
return Response.status(400).entity("Missing dataCenterInfo Name").build();
}
// handle cases where clients may be registering with bad DataCenterInfo with missing data
DataCenterInfo dataCenterInfo = info.getDataCenterInfo();
if (dataCenterInfo instanceof UniqueIdentifier) {
String dataCenterInfoId = ((UniqueIdentifier) dataCenterInfo).getId();
if (isBlank(dataCenterInfoId)) {
boolean experimental = "true".equalsIgnoreCase(serverConfig.getExperimental("registration.validation.dataCenterInfoId"));
if (experimental) {
String entity = "DataCenterInfo of type " + dataCenterInfo.getClass() + " must contain a valid id";
return Response.status(400).entity(entity).build();
} else if (dataCenterInfo instanceof AmazonInfo) {
AmazonInfo amazonInfo = (AmazonInfo) dataCenterInfo;
String effectiveId = amazonInfo.get(AmazonInfo.MetaDataKey.instanceId);
if (effectiveId == null) {
amazonInfo.getMetadata().put(AmazonInfo.MetaDataKey.instanceId.getName(), info.getId());
}
} else {
logger.warn("Registering DataCenterInfo of type {} without an appropriate id", dataCenterInfo.getClass());
}
}
}
//进入InstanceRegistry的register
registry.register(info, "true".equals(isReplication));
return Response.status(204).build(); // 204 to be backwards compatible
}
进入InstanceRegistry的register在这里做了两个功能
@Override
public void register(final InstanceInfo info, final boolean isReplication) {
//在方法中使用publishEvent发布了监听事件 。Spring支持事件驱动,可以监听者模式进行事件的监听,这里广播给所有监听者,收到一个服务注册的请求。至于监听器,可以由我们自己手写实现,参数中的事件类型spring会帮我们直接注入
handleRegistration(info, resolveInstanceLeaseDuration(info), isReplication);
//调用父类PeerAwareInstanceRegistryImpl的register方法
super.register(info, isReplication);
}
@Component
public class EurekaRegisterListener {
@EventListener
public void registe(EurekaInstanceRegisteredEvent event){
System.out.println(event.getInstanceInfo().getAppName());
}
}
父类PeerAwareInstanceRegistryImpl的register方法
public void register(final InstanceInfo info, final boolean isReplication) {
//拿到微服务的过期时间,并进行更新
int leaseDuration = Lease.DEFAULT_DURATION_IN_SECS;
if (info.getLeaseInfo() != null && info.getLeaseInfo().getDurationInSecs() > 0) {
leaseDuration = info.getLeaseInfo().getDurationInSecs();
}
//将服务注册交给父类完成 父类AbstractInstanceRegistry的register方法,在这开始真正开始做服务注册
super.register(info, leaseDuration, isReplication);
//完成集群信息同步
replicateToPeers(Action.Register, info.getAppName(), info.getId(), info, null, isReplication);
}
AbstractInstanceRegistry的register方法
AbstractInstanceRegistry这个类中定义的Eureka-server的服务注册列表的结构
ConcurrentHashMap中外层的String表示服务名称;
Map中的String表示服务节点的id (也就是实例的instanceid);
Lease是一个心跳续约的对象,InstanceInfo表示实例信息。
private final ConcurrentHashMap<String, Map<String, Lease<InstanceInfo>>> registry
= new ConcurrentHashMap<String, Map<String, Lease<InstanceInfo>>>();
1、将新的实例写入注册表的数据map中
2、清理缓存
3、主动失效读写缓存里的数据
public void register(InstanceInfo registrant, int leaseDuration, boolean isReplication) {
try {
read.lock();
Map<String, Lease<InstanceInfo>> gMap = registry.get(registrant.getAppName());
REGISTER.increment(isReplication);
//首先,注册表根据微服务的名称或取Map,如果不存在就新建,使用putIfAbsent。
if (gMap == null) {
//1、将新的实例写入注册表的数据map中
final ConcurrentHashMap<String, Lease<InstanceInfo>> gNewMap = new ConcurrentHashMap<String, Lease<InstanceInfo>>();
gMap = registry.putIfAbsent(registrant.getAppName(), gNewMap);
if (gMap == null) {
gMap = gNewMap;
}
}
Lease<InstanceInfo> existingLease = gMap.get(registrant.getId());
// Retain the last dirty timestamp without overwriting it, if there is already a lease
//然后,从gMap(gMap就是该服务的实例列表)获取一次服务实例,判断这个微服务的节点是否存在,第一次注册的情况下一般是不存在的。当然,也有可能会发生注册信息冲突时,这时Eureka会根据最后活跃时间来判断到底覆盖哪一个:
if (existingLease != null && (existingLease.getHolder() != null)) {
Long existingLastDirtyTimestamp = existingLease.getHolder().getLastDirtyTimestamp();
Long registrationLastDirtyTimestamp = registrant.getLastDirtyTimestamp();
logger.debug("Existing lease found (existing={}, provided={}", existingLastDirtyTimestamp, registrationLastDirtyTimestamp);
// this is a > instead of a >= because if the timestamps are equal, we still take the remote transmitted
// InstanceInfo instead of the server local copy.
if (existingLastDirtyTimestamp > registrationLastDirtyTimestamp) {
logger.warn("There is an existing lease and the existing lease's dirty timestamp {} is greater" +
" than the one that is being registered {}", existingLastDirtyTimestamp, registrationLastDirtyTimestamp);
logger.warn("Using the existing instanceInfo instead of the new instanceInfo as the registrant");
registrant = existingLease.getHolder();
}
} else {
// The lease does not exist and hence it is a new registration
synchronized (lock) {
if (this.expectedNumberOfClientsSendingRenews > 0) {
// Since the client wants to register it, increase the number of clients sending renews
this.expectedNumberOfClientsSendingRenews = this.expectedNumberOfClientsSendingRenews + 1;
updateRenewsPerMinThreshold();
}
}
logger.debug("No previous lease information found; it is new registration");
}
//这段代码中,Eureka拿到存在节点的最后活跃时间,和当前注册节点的发起注册时间,进行对比。当存在的节点的最后活跃时间大于当前注册节点的时间,就说明之前存在的节点更活跃,就替换当前节点。
这里有一个思想,就是如果Eureka缓存的老节点更活跃,就说明它能够使用,而新来的服务我并不知道是否能用,那么Eureka就保守的使用了可用的老节点,从这一点也保证了可用性。
在拿到服务实例后对其进行封装:
Lease<InstanceInfo> lease = new Lease<InstanceInfo>(registrant, leaseDuration);
if (existingLease != null) {
lease.setServiceUpTimestamp(existingLease.getServiceUpTimestamp());
}
//Lease是一个心跳续约的包装类,里面存放了注册信息,最后操作时间,注册时间,过期时间,剔除时间等信息。在这里把注册实例及过期时间放到这个心跳续约对象中,再把心跳续约对象放到gmap注册表中去。之后进行改变服务状态,系统数据统计,至此一个服务注册的流程就完成了。注册完成后,查看一下registry中的服务实例,发现我们启动的Eureka-client都已经放在里面了:
gMap.put(registrant.getId(), lease);
recentRegisteredQueue.add(new Pair<Long, String>(
System.currentTimeMillis(),
registrant.getAppName() + "(" + registrant.getId() + ")"));
// This is where the initial state transfer of overridden status happens
if (!InstanceStatus.UNKNOWN.equals(registrant.getOverriddenStatus())) {
logger.debug("Found overridden status {} for instance {}. Checking to see if needs to be add to the "
+ "overrides", registrant.getOverriddenStatus(), registrant.getId());
if (!overriddenInstanceStatusMap.containsKey(registrant.getId())) {
logger.info("Not found overridden id {} and hence adding it", registrant.getId());
overriddenInstanceStatusMap.put(registrant.getId(), registrant.getOverriddenStatus());
}
}
InstanceStatus overriddenStatusFromMap = overriddenInstanceStatusMap.get(registrant.getId());
if (overriddenStatusFromMap != null) {
logger.info("Storing overridden status {} from map", overriddenStatusFromMap);
registrant.setOverriddenStatus(overriddenStatusFromMap);
}
// Set the status based on the overridden status rules
InstanceStatus overriddenInstanceStatus = getOverriddenInstanceStatus(registrant, existingLease, isReplication);
registrant.setStatusWithoutDirty(overriddenInstanceStatus);
// If the lease is registered with UP status, set lease service up timestamp
if (InstanceStatus.UP.equals(registrant.getStatus())) {
lease.serviceUp();
}
registrant.setActionType(ActionType.ADDED);
recentlyChangedQueue.add(new RecentlyChangedItem(lease));
registrant.setLastUpdatedTimestamp();
//2、清理缓存
invalidateCache(registrant.getAppName(), registrant.getVIPAddress(), registrant.getSecureVipAddress());
logger.info("Registered instance {}/{} with status {} (replication={})",
registrant.getAppName(), registrant.getId(), registrant.getStatus(), isReplication);
} finally {
read.unlock();
}
}
com.netflix.eureka.registry.AbstractInstanceRegistry#invalidateCache
private void invalidateCache(String appName, @Nullable String vipAddress, @Nullable String secureVipAddress) {
// invalidate cache
responseCache.invalidate(appName, vipAddress, secureVipAddress);
}
com.netflix.eureka.registry.ResponseCacheImpl#invalidate
@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));
}
}
}
}
//主动失效读写缓存里的数据
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);
}
}
}
}
InstanceRegistry # renew() ->
PeerAwareInstanceRegistry # renew()->
AbstractInstanceRegistry # renew()
先从注册表获取该服务的实例列表(gMap),再从gMap中通过实例的id 获取具体的 要续约的实例。之后根据服务实例的InstanceStatus判断是否处于宕机状态,以及是否和之前状态相同。如果一切状态正常,最终调用Lease中的renew方法:
可以看出,其实服务续约的操作非常简单,它的本质就是修改服务的最后的更新时间。将最后更新时间改为系统当前时间加上服务的过期时间。
值得提一下的是,lastUpdateTimestamp这个变量是被volatile关键字修饰的。
public boolean renew(String appName, String id, boolean isReplication) {
RENEW.increment(isReplication);
Map<String, Lease<InstanceInfo>> gMap = registry.get(appName);
Lease<InstanceInfo> leaseToRenew = null;
if (gMap != null) {
leaseToRenew = gMap.get(id);
}
if (leaseToRenew == null) {
RENEW_NOT_FOUND.increment(isReplication);
logger.warn("DS: Registry: lease doesn't exist, registering resource: {} - {}", appName, id);
return false;
} else {
InstanceInfo instanceInfo = leaseToRenew.getHolder();
if (instanceInfo != null) {
// touchASGCache(instanceInfo.getASGName());
InstanceStatus overriddenInstanceStatus = this.getOverriddenInstanceStatus(
instanceInfo, leaseToRenew, isReplication);
if (overriddenInstanceStatus == InstanceStatus.UNKNOWN) {
logger.info("Instance status UNKNOWN possibly due to deleted override for instance {}"
+ "; re-register required", instanceInfo.getId());
RENEW_NOT_FOUND.increment(isReplication);
return false;
}
if (!instanceInfo.getStatus().equals(overriddenInstanceStatus)) {
logger.info(
"The instance status {} is different from overridden instance status {} for instance {}. "
+ "Hence setting the status to overridden status", instanceInfo.getStatus().name(),
instanceInfo.getOverriddenStatus().name(),
instanceInfo.getId());
instanceInfo.setStatusWithoutDirty(overriddenInstanceStatus);
}
}
renewsLastMin.increment();
leaseToRenew.renew();
return true;
}
}
当Eureka-server发现有的实例没有续约超过一定时间,则将该服务从注册列表剔除,该项工作由一个定时任务完成的。该任务的定义过程比较复杂,仅列出其调用过程:
EurekaServerInitializerConfiguration # start() ->
EurekaServerBootstrap # contextInitialized() ->
# initEurekaServerContext() ->
PeerAwareInstanceRegistryImpl # openForTraffic() ->
AbstractInstanceRegistry # postInit()
在AbstractInstanceRegistry的postInit方法中,定义EvictionTask定时任务,构建定时器启动该任务,执行任务中剔除方法 evict()。
private long evictionIntervalTimerInMs = 60 * 1000;
任务的时间被定义为60秒,即默认每分钟执行一次。
具体查看evit()剔除方法:
protected void postInit() {
renewsLastMin.start();
if (evictionTaskRef.get() != null) {
evictionTaskRef.get().cancel();
}
evictionTaskRef.set(new EvictionTask());
evictionTimer.schedule(evictionTaskRef.get(),
serverConfig.getEvictionIntervalTimerInMs(),
serverConfig.getEvictionIntervalTimerInMs());
}
public void evict(long additionalLeaseMs) {
logger.debug("Running the evict task");
if (!isLeaseExpirationEnabled()) {
logger.debug("DS: lease expiration is currently disabled.");
return;
}
// We collect first all expired items, to evict them in random order. For large eviction sets,
// if we do not that, we might wipe out whole apps before self preservation kicks in. By randomizing it,
// the impact should be evenly distributed across all applications.
//新建实例列表expiredLeases,用来存放过期的实例。
List<Lease<InstanceInfo>> expiredLeases = new ArrayList<>();
//遍历registry注册表,对实例进行检测工作,使用isExpired方法判断实例是否过期
//evictionTimestamp:剔除时间,当剔除节点的时候,将系统当前时间赋值给这个 evictionTimestamp
//additionalLeaseMs:集群同步产生的预留时间,这个时间是程序中传过来的
for (Entry<String, Map<String, Lease<InstanceInfo>>> groupEntry : registry.entrySet()) {
Map<String, Lease<InstanceInfo>> leaseMap = groupEntry.getValue();
if (leaseMap != null) {
for (Entry<String, Lease<InstanceInfo>> leaseEntry : leaseMap.entrySet()) {
Lease<InstanceInfo> lease = leaseEntry.getValue();
if (lease.isExpired(additionalLeaseMs) && lease.getHolder() != null) {
expiredLeases.add(lease);
}
}
}
}
// To compensate for GC pauses or drifting local time, we need to use current registry size as a base for
// triggering self-preservation. Without that we would wipe out full registry.
int registrySize = (int) getLocalRegistrySize();
//根据阈值计算可以被剔除的服务数量最大值
int registrySizeThreshold = (int) (registrySize * serverConfig.getRenewalPercentThreshold());
//剔除后剩余最小数量
int evictionLimit = registrySize - registrySizeThreshold;
//expiredLeases.size() 剔除列表的数量
int toEvict = Math.min(expiredLeases.size(), evictionLimit);
if (toEvict > 0) {
logger.info("Evicting {} items (expired={}, evictionLimit={})", toEvict, expiredLeases.size(), evictionLimit);
//上面的代码中根据自我保护机制进行了判断,使用Min函数计算两者的最小值,剔除较小数量的服务实例。举个例子,假如当前共有100个服务,那么剔除阈值为85,如果list中有60个服务,那么就会剔除该60个服务。但是如果list中有95个服务,那么只会剔除其中的85个服务,在这种情况下,又会产生一个问题,eureka-server该如何判断去剔除哪些服务,保留哪些服务呢?
Random random = new Random(System.currentTimeMillis());
for (int i = 0; i < toEvict; i++) {
// Pick a random item (Knuth shuffle algorithm)
int next = i + random.nextInt(expiredLeases.size() - i);
Collections.swap(expiredLeases, i, next);
Lease<InstanceInfo> lease = expiredLeases.get(i);
String appName = lease.getHolder().getAppName();
String id = lease.getHolder().getId();
EXPIRED.increment();
logger.warn("DS: Registry: expired lease for {}/{}", appName, id);
//这里使用了随机算法进行剔除,保证不会连续剔除某个微服务的全部实例。最终调用internalCancel方法,实际执行剔除。
internalCancel(appName, id, false);
}
}
}
系统当前时间 >最后更新时间 + 过期时间 + 预留时间
这里进行判断:
系统当前时间 >最后更新时间 + 过期时间 + 预留时间
当该条件成立时,认为服务过期。在Eureka中过期时间默认定义为3个心跳的时间,一个心跳是30秒,因此过期时间是90秒。
当以上两个条件之一成立时,判断该实例过期,将该过期实例放入上面创建的列表中。注意这里仅仅是将实例放入List中,并没有实际剔除。
在实际剔除任务前,需要提一下eureka的自我保护机制:
当15分钟内,心跳失败的服务大于一定比例时,会触发自我保护机制。
这个值在Eureka中被定义为85%,一旦触发自我保护机制,Eureka会尝试保护其服务注册表中的信息,不再删除服务注册表中的数据。
客户端发送http请求告诉eureka-server自己下线,调用 AbstractInstanceRegistry 中 cancel方法:
@Override
public boolean cancel(String appName, String id, boolean isReplication) {
return internalCancel(appName, id, isReplication);
}
最终还是调用了和服务剔除中一样的方法,remove掉了gMap中的实例。
集群信息同步发生在Eureka-server之间,之前提到在PeerAwareInstanceRegistryImpl类中,在执行register方法注册微服务实例完成后,执行了集群信息同步方法replicateToPeers,具体分析一下该方法:
private void replicateToPeers(Action action, String appName, String id,
InstanceInfo info /* optional */,
InstanceStatus newStatus /* optional */, boolean isReplication) {
Stopwatch tracer = action.getTimer().start();
try {
if (isReplication) {
numberOfReplicationsLastMin.increment();
}
// If it is a replication already, do not replicate again as this will create a poison replication
if (peerEurekaNodes == Collections.EMPTY_LIST || isReplication) {
return;
}
for (final PeerEurekaNode node : peerEurekaNodes.getPeerEurekaNodes()) {
// If the url represents this host, do not replicate to yourself.
if (peerEurekaNodes.isThisMyUrl(node.getServiceUrl())) {
continue;
}
//这
replicateInstanceActionsToPeers(action, appName, id, info, newStatus, node);
}
} finally {
tracer.stop();
}
}
private void replicateInstanceActionsToPeers(Action action, String appName,
String id, InstanceInfo info, InstanceStatus newStatus,
PeerEurekaNode node) {
try {
InstanceInfo infoFromRegistry;
CurrentRequestVersion.set(Version.V2);
switch (action) {
case Cancel:
node.cancel(appName, id);
break;
case Heartbeat:
InstanceStatus overriddenStatus = overriddenInstanceStatusMap.get(id);
infoFromRegistry = getInstanceByAppAndId(appName, id, false);
node.heartbeat(appName, id, infoFromRegistry, overriddenStatus, false);
break;
case Register: //这
node.register(info);
break;
case StatusUpdate:
infoFromRegistry = getInstanceByAppAndId(appName, id, false);
node.statusUpdate(appName, id, newStatus, infoFromRegistry);
break;
case DeleteStatusOverride:
infoFromRegistry = getInstanceByAppAndId(appName, id, false);
node.deleteStatusOverride(appName, id, infoFromRegistry);
break;
}
} catch (Throwable t) {
logger.error("Cannot replicate information to {} for action {}", node.getServiceUrl(), action.name(), t);
} finally {
CurrentRequestVersion.remove();
}
}
首先,遍历集群节点,用以给各个集群信息节点进行信息同步。
然后,调用replicateInstanceActionsToPeers方法,在该方法中根据具体的操作类型Action,选择分支,最终调用PeerEurekaNode的register方法:
public void register(final InstanceInfo info) throws Exception {
long expiryTime = System.currentTimeMillis() + getLeaseRenewalOf(info);
batchingDispatcher.process(
taskId("register", info),
new InstanceReplicationTask(targetHost, Action.Register, info, null, true) {
public EurekaHttpResponse<Void> execute() {
//z这
return replicationClient.register(info);
}
},
expiryTime
);
}
最终发送http请求,但是与普通注册操作不同的时,这时将集群同步的标识置为true,说明注册信息是来自集群同步。
在注册过程中运行到addInstance方法时,单独注册时isReplication的值为false,集群同步时为true。通过该值,能够避免集群间出现死循环,进行循环同步的问题。
com.netflix.eureka.resources.ApplicationsResource#getContainers
1、从缓存中获取responseCache.get(cacheKey)
2、首先从只读缓存里获取
@GET
public Response getContainers(@PathParam("version") String version,
@HeaderParam(HEADER_ACCEPT) String acceptHeader,
@HeaderParam(HEADER_ACCEPT_ENCODING) String acceptEncoding,
@HeaderParam(EurekaAccept.HTTP_X_EUREKA_ACCEPT) String eurekaAccept,
@Context UriInfo uriInfo,
@Nullable @QueryParam("regions") String regionsStr) {
boolean isRemoteRegionRequested = null != regionsStr && !regionsStr.isEmpty();
String[] regions = null;
if (!isRemoteRegionRequested) {
EurekaMonitors.GET_ALL.increment();
} else {
regions = regionsStr.toLowerCase().split(",");
Arrays.sort(regions); // So we don't have different caches for same regions queried in different order.
EurekaMonitors.GET_ALL_WITH_REMOTE_REGIONS.increment();
}
// Check if the server allows the access to the registry. The server can
// restrict access if it is not
// ready to serve traffic depending on various reasons.
if (!registry.shouldAllowAccess(isRemoteRegionRequested)) {
return Response.status(Status.FORBIDDEN).build();
}
CurrentRequestVersion.set(Version.toEnum(version));
KeyType keyType = Key.KeyType.JSON;
String returnMediaType = MediaType.APPLICATION_JSON;
if (acceptHeader == null || !acceptHeader.contains(HEADER_JSON_VALUE)) {
keyType = Key.KeyType.XML;
returnMediaType = MediaType.APPLICATION_XML;
}
Key cacheKey = new Key(Key.EntityType.Application,
ResponseCacheImpl.ALL_APPS,
keyType, CurrentRequestVersion.get(), EurekaAccept.fromString(eurekaAccept), regions
);
Response response;
if (acceptEncoding != null && acceptEncoding.contains(HEADER_GZIP_VALUE)) {
response = Response.ok(responseCache.getGZIP(cacheKey))
.header(HEADER_CONTENT_ENCODING, HEADER_GZIP_VALUE)
.header(HEADER_CONTENT_TYPE, returnMediaType)
.build();
} else {
//1、从缓存中获取responseCache.get(cacheKey)
response = Response.ok(responseCache.get(cacheKey))
.build();
}
CurrentRequestVersion.remove();
return response;
}
com.netflix.eureka.registry.ResponseCacheImpl#get(com.netflix.eureka.registry.Key)
public String get(final Key key) {
//shouldUseReadOnlyResponseCache = true
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) {
//2、首先从只读缓存里获取
final Value currentPayload = readOnlyCacheMap.get(key);
if (currentPayload != null) {
payload = currentPayload;
} else {
//3、只读缓存中没有就从读写缓存中获取
//读写缓存默认180秒会自动过期
payload = readWriteCacheMap.get(key);
//回写只读缓存
//timeSchedule每隔30秒执行getCacheUpdate定时任务将读写缓存中的数据更新到只读缓存中
readOnlyCacheMap.put(key, payload);
}
} else {
payload = readWriteCacheMap.get(key);
}
} catch (Throwable t) {
logger.error("Cannot get value for key : {}", key, t);
}
return payload;
}
ResponseCacheImpl
ResponseCacheImpl(EurekaServerConfig serverConfig, ServerCodecs serverCodecs, AbstractInstanceRegistry registry) {
this.serverConfig = serverConfig;
this.serverCodecs = serverCodecs;
this.shouldUseReadOnlyResponseCache = serverConfig.shouldUseReadOnlyResponseCache();
this.registry = registry;
long responseCacheUpdateIntervalMs = serverConfig.getResponseCacheUpdateIntervalMs();
//读写缓存
this.readWriteCacheMap =
CacheBuilder.newBuilder().initialCapacity(serverConfig.getInitialCapacityOfResponseCache())
//180秒自动过期
.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);
}
}
})
.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;
}
});
//每隔30秒执行getCacheUpdateTask定时任务将读写缓存中数据更新到只读缓存中
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);
}
}