Akka Streams是一种用于构建数据处理管道的库,可以用于多种不同的应用场景,包括服务器流。本文介绍如何使用Akka Streams和gRPC来实现服务器流。以下是解决方法的步骤:
libraryDependencies ++= Seq(
"com.typesafe.akka" %% "akka-stream" % "2.5.22",
"com.typesafe.akka" %% "akka-stream-grpc" % "0.5.0",
"com.typesafe.akka" %% "akka-grpc-runtime" % "0.5.0",
"io.grpc" % "grpc-netty" % "1.19.0"
)
syntax = "proto3";
package com.example.grpc;
option java_multiple_files = true;
option java_package = "com.example.grpc";
option java_outer_classname = "ExampleProto";
message Request {
string name = 1;
}
message Response {
string greeting = 1;
}
service Greeter {
rpc Greet (Request) returns (stream Response);
}
class GreeterServiceImpl(mat: Materializer) extends GreeterService {
val log = LoggerFactory.getLogger(classOf[GreeterServiceImpl])
override def greet(in: Request): Source[Response, NotUsed] = {
log.info("Received request: {} from {}", in.name, ctx().remoteAddress())
Source(1 to 10)
.flatMapConcat(i => Source.single(s"Greetings ${in.name} $i"))
.map(r => Response(r))
}
}
val service: GreeterService = new GreeterServiceImpl(ActorMaterializer())
val bound = GrpcServer.defaultServer(certificate, privateKey, Seq(new GreeterInitializer(service))).bind("localhost", port)
val client: GreeterServiceClient = GreeterServiceClient(
GrpcClientSettings.connectToServiceAt("localhost", port).withTransport(Tls.createClientTls())
)
val name = "John"
val response = client.greet(Request(name)).runWith(Sink.seq).map(_.headOption.map(_.greeting).getOrElse(""))
println(s"Response: $response")
这是一个简单的例子,显示如何在Scala中使用Akka Streams和gRPC来实