我是新手使用akka streams kafka(和一般的akka流)。我正在尝试构建一个图表,以便将消息发布到不同的主题。
如何将生成器作为流连接以提交已处理的消息?我尝试使用Producer.flow但我无法获得commitScaladsl
object TestFoo {
import akka.kafka.ProducerMessage.Message
implicit val system = ActorSystem("test-kafka")
implicit val materializer = ActorMaterializer()
val evenNumbersTopic = "even_numbers"
val allNumbersTopic = "all_numbers"
lazy val consumerSettings = ConsumerSettings(system, new StringDeserializer(), new JsonDeserializer[Int])
.withBootstrapServers("localhost:9092")
.withGroupId("group1")
.withProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest")
lazy val source = Consumer.committableSource(consumerSettings, Subscriptions.topics(Set(evenNumbersTopic, allNumbersTopic)))
val producerSettings = ProducerSettings(system, new StringSerializer(), new StringSerializer())
.withBootstrapServers("localhost:9092")
val flow: RunnableGraph[NotUsed] = RunnableGraph.fromGraph(GraphDSL.create() { implicit b =>
import akka.stream.scaladsl.GraphDSL.Implicits._
type TypedMessage = Message[String, Int,CommittableOffset]
val bcast = b.add(Broadcast[TypedMessage](2))
val merge = b.add(Merge[TypedMessage](2))
val evenFilter = Flow[TypedMessage].filter ( c => c.record.value() % 2 == 0)
val justEven = Flow[TypedMessage].map{
case Message(pr, offset) =>
val r = new ProducerRecord[String, Int]("general", pr.value())
Message(r, offset)
}
val allNumbers = Flow[TypedMessage].map{
case Message(pr, offset) =>
val r = new ProducerRecord[String, Int](allNumbersTopic, pr.value())
Message(r, offset)
}
val toMsg = Flow[ConsumerMessage.CommittableMessage[String, Int]].map{ msg =>
val r = new ProducerRecord[String, Int]("general", msg.record.value())
Message(r, msg.committableOffset)
}
source ~> toMsg ~> bcast
bcast ~> evenFilter ~> justEven ~> merge
bcast ~> allNumbers ~> merge
merge ~> Producer.flow(producerSettings).mapAsync(producerSettings.parallelism) { result =>
result.message.passThrough.commitScaladsl() //this doesn't compile, cannot get the .commitScaladsl()
}
ClosedShape
})}
答案 0 :(得分:0)
因为您使用的是GraphDSL,所以编译器无法推断出前一阶段的PassThrough
类型。
尝试并明确地将类型参数传递给Producer.flow
函数,例如
merge ~> Producer.flow[K, V, CommittableOffset](producerSettings).mapAsync(producerSettings.parallelism) { result =>
result.message.passThrough.commitScaladsl()
}
我已将K
和V
作为未绑定的参数保留,请将生产者必须生成的任何键/值类型放在那里。如果您希望正确连接上面的代码,则需要将producerSettings
类型与来自合并阶段的类型进行匹配。你需要这样的东西:
val producerSettings = ProducerSettings(system, new StringSerializer(), new JsonSerializer[Int])
.withBootstrapServers("localhost:9092")