Akka-http的客户端Api应该是以HttpRequest操作为主轴的网上消息交换模式编程工具。我们知道：Akka-http是搭建在Akka-stream之上的。所以，Akka-http在客户端构建与服务器的连接通道也可以用Akka-stream的Flow来表示。这个Flow可以通过调用Http.outgoingConnection来获取：
/**
* Creates a [[akka.stream.scaladsl.Flow]] representing a prospective HTTP client connection to the given endpoint.
* Every materialization of the produced flow will attempt to establish a new outgoing connection.
*
* To configure additional settings for requests made using this method,
* use the `akka.http.client` config section or pass in a [[akka.http.scaladsl.settings.ClientConnectionSettings]] explicitly.
*/
def outgoingConnection(host: String, port: Int = 80,
localAddress: Option[InetSocketAddress] = None,
settings: ClientConnectionSettings = ClientConnectionSettings(system),
log: LoggingAdapter = system.log): Flow[HttpRequest, HttpResponse, Future[OutgoingConnection]] =
_outgoingConnection(host, port, settings.withLocalAddressOverride(localAddress), ConnectionContext.noEncryption(), ClientTransport.TCP, log)
我们看到：这个函数实现了对Server端地址host+port的设定，返回的结果类型是Flow[HttpRequest,HttpResponse,Future[OutgoingConnection]]。这个Flow代表将输入的HttpRequest转换成输出的HttpResponse。这个转换过程包括了与Server之间的Request,Response消息交换。下面我们试着用这个Flow来向Server端发送request，并获取response：
val connFlow: Flow[HttpRequest,HttpResponse,Future[Http.OutgoingConnection]] =
Http().outgoingConnection("akka.io")
def sendHttpRequest(req: HttpRequest) = {
Source.single(req)
.via(connFlow)
.runWith(Sink.head)
}
sendHttpRequest(HttpRequest(uri="/"))
.andThen{
case Success(resp) => println(s"got response: ${resp.status.intValue()}")
case Failure(err) => println(s"request failed: ${err.getMessage}")
}
.andThen {case _ => sys.terminate()}
上面的这种模式就是所谓Connection-Level-Client-Side-Api。这种模式可以让用户有更大程度的自由度控制connection的构建、使用及在connection上发送request的方式。一般来讲，当返回response的entity被完全消耗后系统会自动close connection，这套api还提供了一些手动方法可以在有需要的情况下手动进行connection close，如下：
//close connection by cancelling response entity
resp.entity.dataBytes.runWith(Sink.cancelled)
//close connection by receiving response with close header
Http().bindAndHandleSync(
{ req ⇒ HttpResponse(headers = headers.Connection("close") :: Nil) },
"akka.io",
80)(mat)
Akka-http客户端api还有一种实用的Host-Level-Client-Side-Api模式。这套api能自动针对每个端点维护一个连接池（connection-pool），用户只需对连接池进行配置。系统按照连接池配置自动维护池内线程的生、死、动、停。akka-http.host-connection-pool配置中max-connections,max-open-requests,pipelining-limit等控制着connection、在途request的数量，需要特别注意。针对某个端点的连接池是通过Http().cachedHostConnectionPool(endPoint)获取的。同样，获取的也是一个client-flow实例。因为系统自动维护着线程池，所以client-flow实例可以任意引用，无论调用次数与调用时间间隔。cachedHostConnectionPool()函数定义如下：
/**
* Same as [[#cachedHostConnectionPool]] but for encrypted (HTTPS) connections.
*
* If an explicit [[ConnectionContext]] is given then it rather than the configured default [[ConnectionContext]] will be used
* for encryption on the connections.
*
* To configure additional settings for the pool (and requests made using it),
* use the `akka.http.host-connection-pool` config section or pass in a [[ConnectionPoolSettings]] explicitly.
*/
def cachedHostConnectionPoolHttps[T](host: String, port: Int = 443,
connectionContext: HttpsConnectionContext = defaultClientHttpsContext,
settings: ConnectionPoolSettings = defaultConnectionPoolSettings,
log: LoggingAdapter = system.log)(implicit fm: Materializer): Flow[(HttpRequest, T), (Try[HttpResponse], T), HostConnectionPool] = {
val cps = ConnectionPoolSetup(settings, connectionContext, log)
val setup = HostConnectionPoolSetup(host, port, cps)
cachedHostConnectionPool(setup)
}
函数返回结果类型：Flow[(HttpRequest,T),(Try[HttpResponse],T),HostConnectionPool]。因为线程池内的线程是异步构建request和接收response的，而返回response的顺序未必按照发送request的顺序，所以需要一个tuple2的T类型标示request与返回的response进行匹配。线程池会根据idle-timeout自动终止，也可以手动通过HostConnectionPool.shutDown()实现：
/**
* Represents a connection pool to a specific target host and pool configuration.
*/
final case class HostConnectionPool private[http] (setup: HostConnectionPoolSetup)(
private[http] val gateway: PoolGateway) { // enable test access
/**
* Asynchronously triggers the shutdown of the host connection pool.
*
* The produced [[scala.concurrent.Future]] is fulfilled when the shutdown has been completed.
*/
def shutdown()(implicit ec: ExecutionContextExecutor): Future[Done] = gateway.shutdown()
private[http] def toJava = new akka.http.javadsl.HostConnectionPool {
override def setup = HostConnectionPool.this.setup
override def shutdown(executor: ExecutionContextExecutor): CompletionStage[Done] = HostConnectionPool.this.shutdown()(executor).toJava
}
}
也可以通过Http().shutdownAllConnectionPools()一次性终止ActorSystem内所有线程池:
/**
* Triggers an orderly shutdown of all host connections pools currently maintained by the [[akka.actor.ActorSystem]].
* The returned future is completed when all pools that were live at the time of this method call
* have completed their shutdown process.
*
* If existing pool client flows are re-used or new ones materialized concurrently with or after this
* method call the respective connection pools will be restarted and not contribute to the returned future.
*/
def shutdownAllConnectionPools(): Future[Unit] = {
val shutdownCompletedPromise = Promise[Done]()
poolMasterActorRef ! ShutdownAll(shutdownCompletedPromise)
shutdownCompletedPromise.future.map(_ ⇒ ())(system.dispatcher)
}
我们用cachedHostConnectionPool获取一个client-flow实例：
Flow[(HttpRequest,T),(Try[HttpResponse],T),HostConnectionPool]后就可以进行输入HttpRequest到HttpResponse的转换处理。如下面的例子：
val pooledFlow: Flow[(HttpRequest,Int),(Try[HttpResponse],Int),Http.HostConnectionPool] =
Http().cachedHostConnectionPool[Int](host="akka.io",port=80)
def sendPoolRequest(req: HttpRequest, marker: Int) = {
Source.single(req -> marker)
.via(pooledFlow)
.runWith(Sink.head)
}
sendPoolRequest(HttpRequest(uri="/"), 1)
.andThen{
case Success((tryResp, mk)) =>
tryResp match {
case Success(resp) => println(s"got response: ${resp.status.intValue()}")
case Failure(err) => println(s"request failed: ${err.getMessage}")
}
case Failure(err) => println(s"request failed: ${err.getMessage}")
}
.andThen {case _ => sys.terminate()}
在以上这个例子里实际同样会遇到Connection-Level-Api所遇的的问题，这是因为获取的线程池内的线程还是有限的，只能缓解因为request速率超出response速率所造成的request积压。目前最有效的方法还是通过使用一个queue来暂存request后再逐个处理：
val QueueSize = 10
// This idea came initially from this blog post:
// http://kazuhiro.github.io/scala/akka/akka-http/akka-streams/2016/01/31/connection-pooling-with-akka-http-and-source-queue.html
val poolClientFlow = Http().cachedHostConnectionPool[Promise[HttpResponse]]("akka.io")
val queue =
Source.queue[(HttpRequest, Promise[HttpResponse])](QueueSize, OverflowStrategy.dropNew)
.via(poolClientFlow)
.toMat(Sink.foreach({
case ((Success(resp), p)) => p.success(resp)
case ((Failure(e), p)) => p.failure(e)
}))(Keep.left)
.run()
def queueRequest(request: HttpRequest): Future[HttpResponse] = {
val responsePromise = Promise[HttpResponse]()
queue.offer(request -> responsePromise).flatMap {
case QueueOfferResult.Enqueued => responsePromise.future
case QueueOfferResult.Dropped => Future.failed(new RuntimeException("Queue overflowed. Try again later."))
case QueueOfferResult.Failure(ex) => Future.failed(ex)
case QueueOfferResult.QueueClosed => Future.failed(new RuntimeException("Queue was closed (pool shut down) while running the request. Try again later."))
}
}
val responseFuture: Future[HttpResponse] = queueRequest(HttpRequest(uri = "/"))
responseFuture.andThen {
case Success(resp) => println(s"got response: ${resp.status.intValue()}")
case Failure(err) => println(s"request failed: ${err.getMessage}")
}.andThen {case _ => sys.terminate()}
下面是本次Akka-http-client-side-connection讨论的示范源代码：
import akka.actor._
import akka.http.javadsl.{HostConnectionPool, OutgoingConnection}
import akka.stream._
import akka.stream.scaladsl._
import akka.http.scaladsl.Http
import akka.http.scaladsl.model._
import scala.concurrent._
import scala.util._
object ClientApiDemo extends App {
implicit val sys = ActorSystem("ClientSys")
implicit val mat = ActorMaterializer()
implicit val ec = sys.dispatcher
/*
val connFlow: Flow[HttpRequest,HttpResponse,Future[Http.OutgoingConnection]] =
Http().outgoingConnection("www.sina.com")
def sendHttpRequest(req: HttpRequest) = {
Source.single(req)
.via(connFlow)
.runWith(Sink.head)
}
sendHttpRequest(HttpRequest(uri="/"))
.andThen{
case Success(resp) =>
//close connection by cancelling response entity
resp.entity.dataBytes.runWith(Sink.cancelled)
println(s"got response: ${resp.status.intValue()}")
case Failure(err) => println(s"request failed: ${err.getMessage}")
}
// .andThen {case _ => sys.terminate()}
//close connection by receiving response with close header
Http().bindAndHandleSync(
{ req ⇒ HttpResponse(headers = headers.Connection("close") :: Nil) },
"akka.io",
80)(mat)
val pooledFlow: Flow[(HttpRequest,Int),(Try[HttpResponse],Int),Http.HostConnectionPool] =
Http().cachedHostConnectionPool[Int](host="akka.io",port=80)
def sendPoolRequest(req: HttpRequest, marker: Int) = {
Source.single(req -> marker)
.via(pooledFlow)
.runWith(Sink.head)
}
sendPoolRequest(HttpRequest(uri="/"), 1)
.andThen{
case Success((tryResp, mk)) =>
tryResp match {
case Success(resp) => println(s"got response: ${resp.status.intValue()}")
case Failure(err) => println(s"request failed: ${err.getMessage}")
}
case Failure(err) => println(s"request failed: ${err.getMessage}")
}
.andThen {case _ => sys.terminate()}
*/
val QueueSize = 10
// This idea came initially from this blog post:
// http://kazuhiro.github.io/scala/akka/akka-http/akka-streams/2016/01/31/connection-pooling-with-akka-http-and-source-queue.html
val poolClientFlow = Http().cachedHostConnectionPool[Promise[HttpResponse]]("akka.io")
val queue =
Source.queue[(HttpRequest, Promise[HttpResponse])](QueueSize, OverflowStrategy.dropNew)
.via(poolClientFlow)
.toMat(Sink.foreach({
case ((Success(resp), p)) => p.success(resp)
case ((Failure(e), p)) => p.failure(e)
}))(Keep.left)
.run()
def queueRequest(request: HttpRequest): Future[HttpResponse] = {
val responsePromise = Promise[HttpResponse]()
queue.offer(request -> responsePromise).flatMap {
case QueueOfferResult.Enqueued => responsePromise.future
case QueueOfferResult.Dropped => Future.failed(new RuntimeException("Queue overflowed. Try again later."))
case QueueOfferResult.Failure(ex) => Future.failed(ex)
case QueueOfferResult.QueueClosed => Future.failed(new RuntimeException("Queue was closed (pool shut down) while running the request. Try again later."))
}
}
val responseFuture: Future[HttpResponse] = queueRequest(HttpRequest(uri = "/"))
responseFuture.andThen {
case Success(resp) => println(s"got response: ${resp.status.intValue()}")
case Failure(err) => println(s"request failed: ${err.getMessage}")
}.andThen {case _ => sys.terminate()}
}
原创文章，作者：奋斗，如若转载，请注明出处：https://blog.ytso.com/industrynews/12825.html