标签:.json convert 部分 implicit 返回 limit set app items
Akka-http的客户端连接模式除Connection-Level和Host-Level之外还有一种非常便利的模式:Request-Level-Api。这种模式免除了连接Connection的概念,任何时候可以直接调用singleRequest来与服务端沟通。下面我们用几个例子来示范singleRequest的用法:
(for {
response <- Http().singleRequest(HttpRequest(method=HttpMethods.GET,uri="http://localhost:8011/message"))
message <- Unmarshal(response.entity).to[String]
} yield message).andThen {
case Success(msg) => println(s"Received message: $msg")
case Failure(err) => println(s"Error: ${err.getMessage}")
}.andThen {case _ => sys.terminate()}
这是一个GET操作:用Http().singleRequest直接把HttpRequest发送给服务端uri并获取返回的HttpResponse。我们看到,整组函数的返回类型都是Future[?],所以用for-comprehension来把所有实际运算包嵌在Future运算模式内(context)。下面这个例子是客户端上传数据示范:
(for {
entity <- Marshal("Wata hell you doing?").to[RequestEntity]
response <- Http().singleRequest(HttpRequest(method=HttpMethods.PUT,uri="http://localhost:8011/message",entity=entity))
message <- Unmarshal(response.entity).to[String]
} yield message).andThen {
case Success(msg) => println(s"Received message: $msg")
case Failure(err) => println(s"Error: ${err.getMessage}")
}.andThen {case _ => sys.terminate()}
以上是个PUT操作。我们需要先构建数据载体HttpEntity。格式转换函数Marshal也返回Future[HttpEntity],所以也可以包含在for语句内。关注一下这个andThen,它可以连接一串多个monadic运算,在不影响上游运算结果的情况下实现一些副作用计算。值得注意的是上面这两个例子虽然表现形式很简洁,但我们无法对数据转换过程中的异常及response的状态码等进行监控。所以我们应该把整个过程拆分成两部分:先获取response,再具体处理response,包括核对状态,处理数据等:
case class Item(id: Int, name: String, price: Double)
def getItem(itemId: Int): Future[HttpResponse] = for {
response <- Http().singleRequest(HttpRequest(method=HttpMethods.GET,uri = s"http://localhost:8011/item/$itemId"))
} yield response
def extractEntity[T](futResp: Future[HttpResponse])(implicit um: Unmarshaller[ResponseEntity,T]) = {
futResp.andThen {
case Success(HttpResponse(StatusCodes.OK, _, entity, _)) =>
Unmarshal(entity).to[T]
.onComplete {
case Success(t) => println(s"Got response entity: ${t}")
case Failure(e) => println(s"Unmarshalling failed: ${e.getMessage}")
}
case Success(_) => println("Exception in response!")
case Failure(err) => println(s"Response Failed: ${err.getMessage}")
}
}
extractEntity[Item](getItem(13))
现在这个extractEntity[Item](getItem(13))可以实现全过程的监控管理了。用同样的模式实现PUT操作:
def putItem(item: Item): Future[HttpResponse] =
for {
reqEntity <- Marshal(item).to[RequestEntity]
response <- Http().singleRequest(HttpRequest(method=HttpMethods.PUT,uri="http://localhost:8011/item",entity=reqEntity))
} yield response
extractEntity[Item](putItem(Item(23,"Item#23", 46.0)))
.andThen { case _ => sys.terminate()}
当然,我们还是使用了前面几篇讨论里的Marshalling方式来进行数据格式的自动转换:
import de.heikoseeberger.akkahttpjson4s.Json4sSupport
import org.json4s.jackson
...
trait JsonCodec extends Json4sSupport {
import org.json4s.DefaultFormats
import org.json4s.ext.JodaTimeSerializers
implicit val serilizer = jackson.Serialization
implicit val formats = DefaultFormats ++ JodaTimeSerializers.all
}
object JsConverters extends JsonCodec
...
import JsConverters._
implicit val jsonStreamingSupport = EntityStreamingSupport.json()
.withParallelMarshalling(parallelism = 8, unordered = false)
如果我们需要对数据交换过程进行更细致的管控,用Host-Level-Api会更加适合。下面我们就针对Host-Level-Api构建一个客户端的工具库:
class PooledClient(host: String, port: Int, poolSettings: ConnectionPoolSettings)
(implicit sys: ActorSystem, mat: ActorMaterializer) {
import sys.dispatcher
private val cnnPool: Flow[(HttpRequest, Int), (Try[HttpResponse], Int), Http.HostConnectionPool] =
Http().cachedHostConnectionPool[Int](host = host, port = port, settings = poolSettings)
//单一request
def requestSingleResponse(req: HttpRequest): Future[HttpResponse] = {
Source.single(req -> 1)
.via(cnnPool)
.runWith(Sink.head).flatMap {
case (Success(resp), _) => Future.successful(resp)
case (Failure(fail), _) => Future.failed(fail)
}
}
//组串request
def orderedResponses(reqs: Iterable[HttpRequest]): Future[Iterable[HttpResponse]] = {
Source(reqs.zipWithIndex.toMap)
.via(cnnPool)
.runFold(SortedMap[Int, Future[HttpResponse]]()) {
case (m, (Success(r), idx)) => m + (idx -> Future.successful(r))
case (m, (Failure(f), idx)) => m + (idx -> Future.failed(f))
}.flatMap { m => Future.sequence(m.values) }
}
}
下面是一种比较安全的模式:使用了queue来暂存request从而解决因发送方与接收方速率不同所产生的问题:
class QueuedRequestsClient(host: String, port: Int, poolSettings: ConnectionPoolSettings)
(qsize: Int = 10, overflowStrategy: OverflowStrategy = OverflowStrategy.dropNew)
(implicit sys: ActorSystem, mat: ActorMaterializer) {
import sys.dispatcher
private val cnnPool: Flow[(HttpRequest,Promise[HttpResponse]),(Try[HttpResponse],Promise[HttpResponse]),Http.HostConnectionPool] =
Http().cachedHostConnectionPool[Promise[HttpResponse]](host=host,port=port,settings=poolSettings)
val queue =
Source.queue[(HttpRequest, Promise[HttpResponse])](qsize, overflowStrategy)
.via(cnnPool)
.to(Sink.foreach({
case ((Success(resp), p)) => p.success(resp)
case ((Failure(e), p)) => p.failure(e)
})).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."))
}
}
}
下面是这些工具函数的具体使用示范:
val settings = ConnectionPoolSettings(sys)
.withMaxConnections(8)
.withMaxOpenRequests(8)
.withMaxRetries(3)
.withPipeliningLimit(4)
val pooledClient = new PooledClient("localhost",8011,settings)
def getItemByPool(itemId: Int): Future[HttpResponse] = for {
response <- pooledClient.requestSingleResponse(HttpRequest(method=HttpMethods.GET,uri = s"http://localhost:8011/item/$itemId"))
} yield response
extractEntity[Item](getItemByPool(13))
def getItemsByPool(itemIds: List[Int]): Future[Iterable[HttpResponse]] = {
val reqs = itemIds.map { id =>
HttpRequest(method = HttpMethods.GET, uri = s"http://localhost:8011/item/$id")
}
val rets = (for {
responses <- pooledClient.orderedResponses(reqs)
} yield responses)
rets
}
val futResps = getItemsByPool(List(3,5,7))
futResps.andThen {
case Success(listOfResps) => {
listOfResps.foreach { r =>
r match {
case HttpResponse(StatusCodes.OK, _, entity, _) =>
Unmarshal(entity).to[Item]
.onComplete {
case Success(t) => println(s"Got response entity: ${t}")
case Failure(e) => println(s"Unmarshalling failed: ${e.getMessage}")
}
case _ => println("Exception in response!")
}
}
}
case _ => println("Failed to get list of responses!")
}
val queuedClient = new QueuedRequestsClient("localhost",8011,settings)()
def putItemByQueue(item: Item): Future[HttpResponse] =
for {
reqEntity <- Marshal(item).to[RequestEntity]
response <- queuedClient.queueRequest(HttpRequest(method=HttpMethods.PUT,uri="http://localhost:8011/item",entity=reqEntity))
} yield response
extractEntity[Item](putItemByQueue(Item(23,"Item#23", 46.0)))
.andThen { case _ => sys.terminate()}
下面是本次讨论的示范源代码:
服务端代码:
import akka.actor._
import akka.stream._
import akka.http.scaladsl.Http
import akka.http.scaladsl.server.Directives._
import de.heikoseeberger.akkahttpjson4s.Json4sSupport
import org.json4s.jackson
trait JsonCodec extends Json4sSupport {
import org.json4s.DefaultFormats
import org.json4s.ext.JodaTimeSerializers
implicit val serilizer = jackson.Serialization
implicit val formats = DefaultFormats ++ JodaTimeSerializers.all
}
object JsConverters extends JsonCodec
object TestServer extends App with JsonCodec {
implicit val httpSys = ActorSystem("httpSystem")
implicit val httpMat = ActorMaterializer()
implicit val httpEC = httpSys.dispatcher
import JsConverters._
case class Item(id: Int, name: String, price: Double)
val messages = path("message") {
get {
complete("hello, how are you?")
} ~
put {
entity(as[String]) {msg =>
complete(msg)
}
}
}
val items =
(path("item" / IntNumber) & get) { id =>
get {
complete(Item(id, s"item#$id", id * 2.0))
}
} ~
(path("item") & put) {
entity(as[Item]) {item =>
complete(item)
}
}
val route = messages ~ items
val (host, port) = ("localhost", 8011)
val bindingFuture = Http().bindAndHandle(route,host,port)
println(s"Server running at $host $port. Press any key to exit ...")
scala.io.StdIn.readLine()
bindingFuture.flatMap(_.unbind())
.onComplete(_ => httpSys.terminate())
}
客户端源代码:
import akka.actor._
import akka.http.scaladsl.settings.ConnectionPoolSettings
import akka.stream._
import akka.stream.scaladsl._
import akka.http.scaladsl.Http
import akka.http.scaladsl.model._
import scala.util._
import de.heikoseeberger.akkahttpjson4s.Json4sSupport
import org.json4s.jackson
import scala.concurrent._
import akka.http.scaladsl.unmarshalling.Unmarshal
import akka.http.scaladsl.unmarshalling._
import akka.http.scaladsl.marshalling.Marshal
import scala.collection.SortedMap
import akka.http.scaladsl.common._
trait JsonCodec extends Json4sSupport {
import org.json4s.DefaultFormats
import org.json4s.ext.JodaTimeSerializers
implicit val serilizer = jackson.Serialization
implicit val formats = DefaultFormats ++ JodaTimeSerializers.all
}
object JsConverters extends JsonCodec
class PooledClient(host: String, port: Int, poolSettings: ConnectionPoolSettings)
(implicit sys: ActorSystem, mat: ActorMaterializer) {
import sys.dispatcher
private val cnnPool: Flow[(HttpRequest, Int), (Try[HttpResponse], Int), Http.HostConnectionPool] =
Http().cachedHostConnectionPool[Int](host = host, port = port, settings = poolSettings)
def requestSingleResponse(req: HttpRequest): Future[HttpResponse] = {
Source.single(req -> 1)
.via(cnnPool)
.runWith(Sink.head).flatMap {
case (Success(resp), _) => Future.successful(resp)
case (Failure(fail), _) => Future.failed(fail)
}
}
def orderedResponses(reqs: Iterable[HttpRequest]): Future[Iterable[HttpResponse]] = {
Source(reqs.zipWithIndex.toMap)
.via(cnnPool)
.runFold(SortedMap[Int, Future[HttpResponse]]()) {
case (m, (Success(r), idx)) => m + (idx -> Future.successful(r))
case (m, (Failure(f), idx)) => m + (idx -> Future.failed(f))
}.flatMap { m => Future.sequence(m.values) }
}
}
class QueuedRequestsClient(host: String, port: Int, poolSettings: ConnectionPoolSettings)
(qsize: Int = 10, overflowStrategy: OverflowStrategy = OverflowStrategy.dropNew)
(implicit sys: ActorSystem, mat: ActorMaterializer) {
import sys.dispatcher
private val cnnPool: Flow[(HttpRequest,Promise[HttpResponse]),(Try[HttpResponse],Promise[HttpResponse]),Http.HostConnectionPool] =
Http().cachedHostConnectionPool[Promise[HttpResponse]](host=host,port=port,settings=poolSettings)
val queue =
Source.queue[(HttpRequest, Promise[HttpResponse])](qsize, overflowStrategy)
.via(cnnPool)
.to(Sink.foreach({
case ((Success(resp), p)) => p.success(resp)
case ((Failure(e), p)) => p.failure(e)
})).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."))
}
}
}
object ClientRequesting extends App {
import JsConverters._
implicit val sys = ActorSystem("sysClient")
implicit val mat = ActorMaterializer()
implicit val ec = sys.dispatcher
implicit val jsonStreamingSupport = EntityStreamingSupport.json()
.withParallelMarshalling(parallelism = 8, unordered = false)
case class Item(id: Int, name: String, price: Double)
def extractEntity[T](futResp: Future[HttpResponse])(implicit um: Unmarshaller[ResponseEntity,T]) = {
futResp.andThen {
case Success(HttpResponse(StatusCodes.OK, _, entity, _)) =>
Unmarshal(entity).to[T]
.onComplete {
case Success(t) => println(s"Got response entity: ${t}")
case Failure(e) => println(s"Unmarshalling failed: ${e.getMessage}")
}
case Success(_) => println("Exception in response!")
case Failure(err) => println(s"Response Failed: ${err.getMessage}")
}
}
(for {
response <- Http().singleRequest(HttpRequest(method=HttpMethods.GET,uri="http://localhost:8011/message"))
message <- Unmarshal(response.entity).to[String]
} yield message).andThen {
case Success(msg) => println(s"Received message: $msg")
case Failure(err) => println(s"Error: ${err.getMessage}")
} //.andThen {case _ => sys.terminate()}
(for {
entity <- Marshal("Wata hell you doing?").to[RequestEntity]
response <- Http().singleRequest(HttpRequest(method=HttpMethods.PUT,uri="http://localhost:8011/message",entity=entity))
message <- Unmarshal(response.entity).to[String]
} yield message).andThen {
case Success(msg) => println(s"Received message: $msg")
case Failure(err) => println(s"Error: ${err.getMessage}")
} //.andThen {case _ => sys.terminate()}
def getItem(itemId: Int): Future[HttpResponse] = for {
response <- Http().singleRequest(HttpRequest(method=HttpMethods.GET,uri = s"http://localhost:8011/item/$itemId"))
} yield response
extractEntity[Item](getItem(13))
def putItem(item: Item): Future[HttpResponse] =
for {
reqEntity <- Marshal(item).to[RequestEntity]
response <- Http().singleRequest(HttpRequest(method=HttpMethods.PUT,uri="http://localhost:8011/item",entity=reqEntity))
} yield response
extractEntity[Item](putItem(Item(23,"Item#23", 46.0)))
.andThen { case _ => sys.terminate()}
val settings = ConnectionPoolSettings(sys)
.withMaxConnections(8)
.withMaxOpenRequests(8)
.withMaxRetries(3)
.withPipeliningLimit(4)
val pooledClient = new PooledClient("localhost",8011,settings)
def getItemByPool(itemId: Int): Future[HttpResponse] = for {
response <- pooledClient.requestSingleResponse(HttpRequest(method=HttpMethods.GET,uri = s"http://localhost:8011/item/$itemId"))
} yield response
extractEntity[Item](getItemByPool(13))
def getItemsByPool(itemIds: List[Int]): Future[Iterable[HttpResponse]] = {
val reqs = itemIds.map { id =>
HttpRequest(method = HttpMethods.GET, uri = s"http://localhost:8011/item/$id")
}
val rets = (for {
responses <- pooledClient.orderedResponses(reqs)
} yield responses)
rets
}
val futResps = getItemsByPool(List(3,5,7))
futResps.andThen {
case Success(listOfResps) => {
listOfResps.foreach { r =>
r match {
case HttpResponse(StatusCodes.OK, _, entity, _) =>
Unmarshal(entity).to[Item]
.onComplete {
case Success(t) => println(s"Got response entity: ${t}")
case Failure(e) => println(s"Unmarshalling failed: ${e.getMessage}")
}
case _ => println("Exception in response!")
}
}
}
case _ => println("Failed to get list of responses!")
}
val queuedClient = new QueuedRequestsClient("localhost",8011,settings)()
def putItemByQueue(item: Item): Future[HttpResponse] =
for {
reqEntity <- Marshal(item).to[RequestEntity]
response <- queuedClient.queueRequest(HttpRequest(method=HttpMethods.PUT,uri="http://localhost:8011/item",entity=reqEntity))
} yield response
extractEntity[Item](putItemByQueue(Item(23,"Item#23", 46.0)))
.andThen { case _ => sys.terminate()}
}
标签:.json convert 部分 implicit 返回 limit set app items
原文地址:http://www.cnblogs.com/tiger-xc/p/7878579.html