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本文主要研究一下eureka server的response cache
ApplicationResource
eureka-core-1.8.8-sources.jar!/com/netflix/eureka/resources/ApplicationResource.java
/**
* Gets information about a particular {@link com.netflix.discovery.shared.Application}.
*
* @param version
* the version of the request.
* @param acceptHeader
* the accept header of the request to indicate whether to serve
* JSON or XML data.
* @return the response containing information about a particular
* application.
*/
@GET
public Response getApplication(@PathParam("version") String version,
@HeaderParam("Accept") final String acceptHeader,
@HeaderParam(EurekaAccept.HTTP_X_EUREKA_ACCEPT) String eurekaAccept) {
if (!registry.shouldAllowAccess(false)) {
return Response.status(Status.FORBIDDEN).build();
}
EurekaMonitors.GET_APPLICATION.increment();
CurrentRequestVersion.set(Version.toEnum(version));
KeyType keyType = Key.KeyType.JSON;
if (acceptHeader == null || !acceptHeader.contains("json")) {
keyType = Key.KeyType.XML;
}
Key cacheKey = new Key(
Key.EntityType.Application,
appName,
keyType,
CurrentRequestVersion.get(),
EurekaAccept.fromString(eurekaAccept)
);
String payLoad = responseCache.get(cacheKey);
if (payLoad != null) {
logger.debug("Found: {}", appName);
return Response.ok(payLoad).build();
} else {
logger.debug("Not Found: {}", appName);
return Response.status(Status.NOT_FOUND).build();
}
}
以ApplicationResource为例,可以看到这里是直接调用了responseCache.get(cacheKey)方法
ResponseCacheImpl.get
/**
* Get the cached information about applications.
*
* <p>
* If the cached information is not available it is generated on the first
* request. After the first request, the information is then updated
* periodically by a background thread.
* </p>
*
* @param key the key for which the cached information needs to be obtained.
* @return payload which contains information about the applications.
*/
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;
}
这里可以看到,有两个缓存,一个是readOnlyCacheMap,一个是readWriteCacheMap
CacheMap
eureka-core-1.8.8-sources.jar!/com/netflix/eureka/registry/ResponseCacheImpl.java
/**
* The class that is responsible for caching registry information that will be
* queried by the clients.
*
* <p>
* The cache is maintained in compressed and non-compressed form for three
* categories of requests - all applications, delta changes and for individual
* applications. The compressed form is probably the most efficient in terms of
* network traffic especially when querying all applications.
*
* The cache also maintains separate pay load for <em>JSON</em> and <em>XML</em>
* formats and for multiple versions too.
* </p>
*
* @author Karthik Ranganathan, Greg Kim
*/
public class ResponseCacheImpl implements ResponseCache {
//......
private final ConcurrentMap<Key, Value> readOnlyCacheMap = new ConcurrentHashMap<Key, Value>();
private final LoadingCache<Key, Value> readWriteCacheMap;
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(1000)
.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;
}
});
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);
}
}
}
- 这里可以看到readOnlyCacheMap就是一个ConcurrentMap,而readWriteCacheMap是Guava Cache的LoadingCache类型,initialCapacity为1000,而expireAfterWrite为serverConfig.getResponseCacheAutoExpirationInSeconds(),然后CacheLoader的load方法是调用generatePayload方法
- shouldUseReadOnlyResponseCache读取的是eureka.server.use-read-only-response-cache参数
- responseCacheUpdateIntervalMs读取的是eureka.server.response-cache-update-interval-ms参数
- responseCacheAutoExpirationInSeconds读取的是eureka.server.response-cache-update-interval-ms参数
generatePayload
eureka-core-1.8.8-sources.jar!/com/netflix/eureka/registry/ResponseCacheImpl.java
/*
* Generate pay load for the given key.
*/
private Value generatePayload(Key key) {
Stopwatch tracer = null;
try {
String payload;
switch (key.getEntityType()) {
case Application:
boolean isRemoteRegionRequested = key.hasRegions();
if (ALL_APPS.equals(key.getName())) {
if (isRemoteRegionRequested) {
tracer = serializeAllAppsWithRemoteRegionTimer.start();
payload = getPayLoad(key, registry.getApplicationsFromMultipleRegions(key.getRegions()));
} else {
tracer = serializeAllAppsTimer.start();
payload = getPayLoad(key, registry.getApplications());
}
} else if (ALL_APPS_DELTA.equals(key.getName())) {
if (isRemoteRegionRequested) {
tracer = serializeDeltaAppsWithRemoteRegionTimer.start();
versionDeltaWithRegions.incrementAndGet();
versionDeltaWithRegionsLegacy.incrementAndGet();
payload = getPayLoad(key,
registry.getApplicationDeltasFromMultipleRegions(key.getRegions()));
} else {
tracer = serializeDeltaAppsTimer.start();
versionDelta.incrementAndGet();
versionDeltaLegacy.incrementAndGet();
payload = getPayLoad(key, registry.getApplicationDeltas());
}
} else {
tracer = serializeOneApptimer.start();
payload = getPayLoad(key, registry.getApplication(key.getName()));
}
break;
case VIP:
case SVIP:
tracer = serializeViptimer.start();
payload = getPayLoad(key, getApplicationsForVip(key, registry));
break;
default:
logger.error("Unidentified entity type: {} found in the cache key.", key.getEntityType());
payload = "";
break;
}
return new Value(payload);
} finally {
if (tracer != null) {
tracer.stop();
}
}
}
可以看到这个方法分类型,调用了registry进行查询,然后使用getPayLoad方法进行转码。
CacheUpdateTask
eureka-core-1.8.8-sources.jar!/com/netflix/eureka/registry/ResponseCacheImpl.java
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) {
readOnlyCacheMap.put(key, cacheValue);
}
} catch (Throwable th) {
logger.error("Error while updating the client cache from response cache for key {}", key.toStringCompact(), th);
}
}
}
};
}
这个定时任务主要是从readWriteCacheMap更新数据到readOnlyCacheMap
小结
eureka server对rest api提供了多级缓存,第一层是readOnlyCacheMap,然后是readWriteCacheMap,最后如果readWriteCacheMap读取不到,然后就从registry进行读取。其中readOnlyCacheMap会定时从readWriteCacheMap更新数据,而readWriteCacheMap有自己的过期时间,过期后自动从loader加载新数据。
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