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。