index action分析
上一篇从结构上分析了action的，本篇将以index action为例仔分析一下action的实现方式。
再概括一下action的作用：对于每种功能（如index）action都会包括两个基本的类*action（IndexAction）和Transport*action（TransportIndexAction）,前者类中会有一个实例（IndexAction INSTANCE = new IndexAction()）这个实例用于client绑定对应的TransportAction（registerAction(IndexAction.INSTANCE, TransportIndexAction.class)），绑定过程发送在ActionModuel中。另外在Action类中还会定义一个action的名字（String NAME = "indices:data/write/index"）这个名字用于TransportService绑定对于的handle，用于处理NettyTransport接收到的信息。TransportAction的是最终的逻辑处理者，当接收到请求时，会首先判断本节点能否处理，如果能够处理则调用相关的方法处理得到结果返回，否则将通过NettyTransport转发该请求到对应的node进行处理。所有的Transport的结构都是这种类型。
首先看一下TransportAction的类图，所的Transport*action都继承自于它。
它主要由两个方法execute和doExecute，execute方法有两种实现，第一种实现需要自行添加actionListener。最终的逻辑都在doExecute方法中，这个方法在各个功能模块中实现。以下是TransportIndexAction的继承关系：
实现上由于功能划分的原因，TransportIndexAction直接继承自TranspShardReplicationOperationAction，这个抽象类中的方法是所有需要操作shard副本的功能action的父，因此它的实现还包括delete，bulk等功能action。它实现了多个内部类，这些内部类用来辅助完成相关的功能。这里主要说一下OperationTransportHandler，ReplicaOperationTransportHandler及AsyncShardOperationAction三个子类。首先看一下OperationTransportHandler的代码，如下所示：
class OperationTransportHandler extends BaseTransportRequestHandler<Request> {
//继承自BaseTransportRequestHanlder
……………… @Override public void messageReceived(final Request request, final TransportChannel channel) throws Exception { // no need to have a threaded listener since we just send back a response request.listenerThreaded(false); // if we have a local operation, execute it on a thread since we don't spawn request.operationThreaded(true);
//调用Transport的execute方法，通过channel返回结果 execute(request, new ActionListener<Response>() { @Override public void onResponse(Response result) { try { channel.sendResponse(result); } catch (Throwable e) { onFailure(e); } } @Override public void onFailure(Throwable e) { try { channel.sendResponse(e); } catch (Throwable e1) { logger.warn("Failed to send response for " + actionName, e1); } } }); }
看过NettyTransport请求发送和处理的同学一定对这个代码不陌生，这就是elasticsearch节点间处理信息的典型模式。当请求通过NettyTransport发送到本节点时会根据请求的action名称找到对应的handler，使用对应的handler来处理该请求。这个handler就对应着“indices:data/write/index”，可以看到它调用execute方法来处理。它的注册时在TransportShardReplicationOperationAction构造函数中完成的。知道了OperationTransportHandler，ReplicaOperationTransportHandler就好理解了它的实现方式跟前者完全一样，对应的action名称加了一个“[r]”，它的作用是处理需要在副本上进行的操作，代码如下所示：
class ReplicaOperationTransportHandler extends BaseTransportRequestHandler<ReplicaOperationRequest> {
…………………… @Override public void messageReceived(final ReplicaOperationRequest request, final TransportChannel channel) throws Exception { try { shardOperationOnReplica(request); } catch (Throwable t) { failReplicaIfNeeded(request.shardId.getIndex(), request.shardId.id(), t); throw t; } channel.sendResponse(TransportResponse.Empty.INSTANCE); } }
可以看到代码结构非常像，只是调用了副本操作的方法shardOperationOnReplica，这个方法在这TransportShardReplicationOperationAction中是抽象的，它的实现在各个子类中，例如deleteaction中实现了对于delete请求如何在副本上处理。
分析完这两个handle是不是对于action的处理过程有了一定的眉目了呢？但是这才是冰山一角，这两个Handler是用来接收来自其它节点的请求，如果请求的正好是本节点该如何处理呢？这些逻辑都在AsyncShardOperationAction类中。首先看一下它的内部结构：
因为TransportShardReplicationOperationAction的所有子类都是对索引的修改，会引起数据不一致，因此它的操作流程都是现在primaryShard上操作然后是Replicashard上操作。代码如下所示：
protected void doStart() throws ElasticsearchException { try {
//检查是否有阻塞 ClusterBlockException blockException = checkGlobalBlock(observer.observedState()); if (blockException != null) { if (blockException.retryable()) { logger.trace("cluster is blocked ({}), scheduling a retry", blockException.getMessage()); retry(blockException); return; } else { throw blockException; } }
//检测是否是创建索引 if (resolveIndex()) { internalRequest.concreteIndex(observer.observedState().metaData().concreteSingleIndex(internalRequest.request().index(), internalRequest.request().indicesOptions())); } else { internalRequest.concreteIndex(internalRequest.request().index()); } // check if we need to execute, and if not, return if (!resolveRequest(observer.observedState(), internalRequest, listener)) { return; }
//再次检测是否有阻塞 blockException = checkRequestBlock(observer.observedState(), internalRequest); if (blockException != null) { if (blockException.retryable()) { logger.trace("cluster is blocked ({}), scheduling a retry", blockException.getMessage()); retry(blockException); return; } else { throw blockException; } } shardIt = shards(observer.observedState(), internalRequest); } catch (Throwable e) { listener.onFailure(e); return; } //查找primaryShard boolean foundPrimary = false; ShardRouting shardX; while ((shardX = shardIt.nextOrNull()) != null) { final ShardRouting shard = shardX; // we only deal with primary shardIt here... if (!shard.primary()) { continue; } if (!shard.active() || !observer.observedState().nodes().nodeExists(shard.currentNodeId())) { logger.trace("primary shard [{}] is not yet active or we do not know the node it is assigned to [{}], scheduling a retry.", shard.shardId(), shard.currentNodeId()); retryBecauseUnavailable(shardIt.shardId(), "Primary shard is not active or isn't assigned to a known node."); return; } if (!primaryOperationStarted.compareAndSet(false, true)) { return; } foundPrimary = true;
//primaryShard就在本地，直接进行相关操作 if (shard.currentNodeId().equals(observer.observedState().nodes().localNodeId())) { try { if (internalRequest.request().operationThreaded()) { internalRequest.request().beforeLocalFork(); threadPool.executor(executor).execute(new Runnable() { @Override public void run() { try { performOnPrimary(shard.id(), shard); } catch (Throwable t) { listener.onFailure(t); } } }); } else { performOnPrimary(shard.id(), shard); } } catch (Throwable t) { listener.onFailure(t); } } else {//primaryShard在其它节点上，将请求通过truansport发送到对应的节点。 DiscoveryNode node = observer.observedState().nodes().get(shard.currentNodeId()); transportService.sendRequest(node, actionName, internalRequest.request(), transportOptions, new BaseTransportResponseHandler<Response>() { @Override public Response newInstance() { return newResponseInstance(); } @Override public String executor() { return ThreadPool.Names.SAME; } @Override public void handleResponse(Response response) { listener.onResponse(response); } @Override public void handleException(TransportException exp) { // if we got disconnected from the node, or the node / shard is not in the right state (being closed) if (exp.unwrapCause() instanceof ConnectTransportException || exp.unwrapCause() instanceof NodeClosedException || retryPrimaryException(exp)) { primaryOperationStarted.set(false); internalRequest.request().setCanHaveDuplicates(); // we already marked it as started when we executed it (removed the listener) so pass false // to re-add to the cluster listener logger.trace("received an error from node the primary was assigned to ({}), scheduling a retry", exp.getMessage()); retry(exp); } else { listener.onFailure(exp); } } }); } break; } ……………… }
这就是对应请求的处理过程，接下来是primary操作的方法：
void performOnPrimary(int primaryShardId, final ShardRouting shard) { …… PrimaryResponse<Response, ReplicaRequest> response = shardOperationOnPrimary(clusterState, new PrimaryOperationRequest(primaryShardId, internalRequest.concreteIndex(), internalRequest.request())); performReplicas(response); ………… }
以上就是performOnPrimary方法的部分代码，首先调用外部类的shardOperationOnPrimary方法，该方法实现在各个子类中，在TransportIndexAction中的实现如下所示：
@Override protected PrimaryResponse<IndexResponse, IndexRequest> shardOperationOnPrimary(ClusterState clusterState, PrimaryOperationRequest shardRequest) throws Throwable { final IndexRequest request = shardRequest.request; // 查看是否需要routing
IndexMetaData indexMetaData = clusterState.metaData().index(shardRequest.shardId.getIndex()); MappingMetaData mappingMd = indexMetaData.mappingOrDefault(request.type()); if (mappingMd != null && mappingMd.routing().required()) { if (request.routing() == null) { throw new RoutingMissingException(shardRequest.shardId.getIndex(), request.type(), request.id()); } }
//调用indexserice执行对应的index操作 IndexService indexService = indicesService.indexServiceSafe(shardRequest.shardId.getIndex()); IndexShard indexShard = indexService.shardSafe(shardRequest.shardId.id()); SourceToParse sourceToParse = SourceToParse.source(SourceToParse.Origin.PRIMARY, request.source()).type(request.type()).id(request.id()) .routing(request.routing()).parent(request.parent()).timestamp(request.timestamp()).ttl(request.ttl()); long version; boolean created; try { Engine.IndexingOperation op; if (request.opType() == IndexRequest.OpType.INDEX) { Engine.Index index = indexShard.prepareIndex(sourceToParse, request.version(), request.versionType(), Engine.Operation.Origin.PRIMARY, request.canHaveDuplicates()); if (index.parsedDoc().mappingsModified()) { mappingUpdatedAction.updateMappingOnMaster(shardRequest.shardId.getIndex(), index.docMapper(), indexService.indexUUID()); } indexShard.index(index); version = index.version(); op = index; created = index.created(); } else { Engine.Create create = indexShard.prepareCreate(sourceToParse, request.version(), request.versionType(), Engine.Operation.Origin.PRIMARY, request.canHaveDuplicates(), request.autoGeneratedId()); if (create.parsedDoc().mappingsModified()) { mappingUpdatedAction.updateMappingOnMaster(shardRequest.shardId.getIndex(), create.docMapper(), indexService.indexUUID()); } indexShard.create(create); version = create.version(); op = create; created = true; } if (request.refresh()) { try { indexShard.refresh("refresh_flag_index"); } catch (Throwable e) { // ignore } } // update the version on the request, so it will be used for the replicas request.version(version); request.versionType(request.versionType().versionTypeForReplicationAndRecovery()); assert request.versionType().validateVersionForWrites(request.version()); IndexResponse response = new IndexResponse(shardRequest.shardId.getIndex(), request.type(), request.id(), version, created); return new PrimaryResponse<>(shardRequest.request, response, op); } catch (WriteFailureException e) { if (e.getMappingTypeToUpdate() != null) { DocumentMapper docMapper = indexService.mapperService().documentMapper(e.getMappingTypeToUpdate()); if (docMapper != null) { mappingUpdatedAction.updateMappingOnMaster(indexService.index().name(), docMapper, indexService.indexUUID()); } } throw e.getCause(); } }
上面的代码就是index的执行过程，这一过程涉及到index的底层操作，这里就不展开，只是说明它在action中是如何实现的，后面会有详细说明。接下来看在副本上的操作。副本可能有多个，因此首先调用了performReplicas方法，在这个方法中首先开始监听集群的状态，然后便利所有的副本进行处理，如果是异步则加入一个listener，否则同步执行返回结果。最后调用performReplica，在该方法中调用外部类的抽象方法shardOperationOnReplica。 这一过程比较简单，这里就不再贴代码，有兴趣可以参考相关源码。
总结一下：这里以TransportIndexAction为例分析了tansportaction的结构层次。它在TransportAction直接还有一层那就是TransportShardReplicationOperationAction，这个类是actionsupport包中的一个，这个包把所有的子操作方法做了进一步的抽象，抽象出几个大类放到了这里，所有其它子功能很多都继承自这。这个包会在后面有详细分析。
