akka-typed(6) - cluster：group router, cluster-load-balancing

先谈谈akka-typed的router actor。route 分pool router, group router两类。咱们先看看pool-router的使用示范：

      val pool = Routers.pool(poolSize = 4)( // make sure the workers are restarted if they fail
 Behaviors.supervise(WorkerRoutee()).onFailure[Exception](SupervisorStrategy.restart)) val router = ctx.spawn(pool, "worker-pool") (0 to 10).foreach { n => router ! WorkerRoutee.DoLog(s"msg $n")
      }

上面例子里的pool是个pool-router，意思是一个有4个routees的routee池。每一个routee都是经过WorkerRoutee()构建的，意味着routee池中只有一个种类的actor。pool-router是经过工厂方法直接在本地（JVM）构建（spawn）全部的routee。也就是说全部routee都是router的子actor。

再看看group-router的使用例子：

val serviceKey = ServiceKey[Worker.Command]("log-worker") // this would likely happen elsewhere - if we create it locally we // can just as well use a pool
      val workerRoutee = ctx.spawn(WorkerRoutee(), "worker-route") ctx.system.receptionist ! Receptionist.Register(serviceKey, workerRoutee) val group = Routers.group(serviceKey) val router = ctx.spawn(group, "worker-group") // the group router will stash messages until it sees the first listing of registered // services from the receptionist, so it is safe to send messages right away
      (0 to 10).foreach { n => router ! WorkerRoutee.DoLog(s"msg $n") }

group-router与pool-router有较多分别：

一、routee是在router以外构建的，router是用一个key经过Receptionist获取同key的actor清单做为routee group的

二、Receptionist是集群全局的。任何节点上的actor均可以发送注册消息在Receptionist上登记

三、没有size限制，任何actor一旦在Receptionist上登记即变成routee，接受router管理

应该说若是想把运算任务分配在集群里的各节点上并行运算实现load-balance效果，group-router是最合适的选择。不过对不一样的运算任务须要多少routee则须要用户自行决定，不像之前akka-classic里经过cluster-metrics根据节点负载状况自动增减routee实例那么方便。

Receptionist: 既然说到，那么就再深刻一点介绍Receptionist的应用：上面提到，Receptionist是集群全局的。就是说任何节点上的actor均可以在Receptonist上注册造成一个生存在集群中不一样节点的actor清单。若是Receptionist把这个清单提供给一个用户，那么这个用户就能够把运算任务配置到各节点上，实现某种意义上的分布式运算模式。Receptionist的使用方式是：经过向本节点的Receptionist发送消息去登记ActorRef，而后经过Receptionist发布的登记变化消息便可获取最新的ActorRef清单：

  val WorkerServiceKey = ServiceKey[Worker.TransformText]("Worker") ctx.system.receptionist ! Receptionist.Register(WorkerServiceKey, ctx.self) ctx.system.receptionist ! Receptionist.Subscribe(Worker.WorkerServiceKey, subscriptionAdapter)

Receptionist的登记和清单获取是以ServiceKey做为关联的。那么获取的清单内应该所有是一种类型的actor，只不过它们的地址多是跨节点的，但它们只能进行同一种运算。从另外一个角度说，一项任务是分布在不一样节点的actor并行进行运算的。

在上篇讨论里提过：若是发布-订阅机制是在两个actor之间进行的，那么这两个actor也须要在规定的信息交流协议框架下做业：咱们必须注意消息类型，提供必要的消息类型转换机制。下面是一个Receptionist登记示范：

object Worker { val WorkerServiceKey = ServiceKey[Worker.TransformText]("Worker") sealed trait Command final case class TransformText(text: String, replyTo: ActorRef[TextTransformed]) extends Command with CborSerializable final case class TextTransformed(text: String) extends CborSerializable def apply(): Behavior[Command] = Behaviors.setup { ctx =>
      // each worker registers themselves with the receptionist
      ctx.log.info("Registering myself with receptionist") ctx.system.receptionist ! Receptionist.Register(WorkerServiceKey, ctx.self) Behaviors.receiveMessage { case TransformText(text, replyTo) => replyTo ! TextTransformed(text.toUpperCase) Behaviors.same } } }

Receptionist登记比较直接：登记者不须要Receptionist返回消息，因此随便用ctx.self做为消息的sender。注意TransformText的replyTo: ActorRef[TextTransformed]，表明sender是个能够处理TextTransformed消息类型的actor。实际上，在sender方是经过ctx.ask提供了TextTransformed的类型转换。

Receptionist.Subscribe须要Receptionist返回一个actor清单，因此是个request/response模式。那么发送给Receptionist消息中的replyTo必须是发送者能处理的类型，以下：

  def apply(): Behavior[Event] = Behaviors.setup { ctx => Behaviors.withTimers { timers =>
      // subscribe to available workers
      val subscriptionAdapter = ctx.messageAdapter[Receptionist.Listing] { case Worker.WorkerServiceKey.Listing(workers) => WorkersUpdated(workers) } ctx.system.receptionist ! Receptionist.Subscribe(Worker.WorkerServiceKey, subscriptionAdapter) ... } 

ctx.messageAdapter进行了一个从Receptionist.Listing返回类型到WorkersUpdated类型的转换机制登记：从Receptionist回复的List类型会被转换成WorkersUpdated类型，以下：

... Behaviors.receiveMessage { case WorkersUpdated(newWorkers) => ctx.log.info("List of services registered with the receptionist changed: {}", newWorkers) ...

另外，上面提过的TextTransformed转换以下：

 ctx.ask[Worker.TransformText,Worker.TextTransformed](selectedWorker, Worker.TransformText(text, _)) { case Success(transformedText) => TransformCompleted(transformedText.text, text) case Failure(ex) => JobFailed("Processing timed out", text) }

ctx.ask将TextTransformed转换成TransformCompleted。完整的Behavior定义以下：

object Frontend { sealed trait Event private case object Tick extends Event private final case class WorkersUpdated(newWorkers: Set[ActorRef[Worker.TransformText]]) extends Event private final case class TransformCompleted(originalText: String, transformedText: String) extends Event private final case class JobFailed(why: String, text: String) extends Event def apply(): Behavior[Event] = Behaviors.setup { ctx => Behaviors.withTimers { timers =>
      // subscribe to available workers
      val subscriptionAdapter = ctx.messageAdapter[Receptionist.Listing] { case Worker.WorkerServiceKey.Listing(workers) => WorkersUpdated(workers) } ctx.system.receptionist ! Receptionist.Subscribe(Worker.WorkerServiceKey, subscriptionAdapter) timers.startTimerWithFixedDelay(Tick, Tick, 2.seconds) running(ctx, IndexedSeq.empty, jobCounter = 0) } } private def running(ctx: ActorContext[Event], workers: IndexedSeq[ActorRef[Worker.TransformText]], jobCounter: Int): Behavior[Event] = Behaviors.receiveMessage { case WorkersUpdated(newWorkers) => ctx.log.info("List of services registered with the receptionist changed: {}", newWorkers) running(ctx, newWorkers.toIndexedSeq, jobCounter) case Tick =>
        if (workers.isEmpty) { ctx.log.warn("Got tick request but no workers available, not sending any work") Behaviors.same } else { // how much time can pass before we consider a request failed
          implicit val timeout: Timeout = 5.seconds val selectedWorker = workers(jobCounter % workers.size) ctx.log.info("Sending work for processing to {}", selectedWorker) val text = s"hello-$jobCounter" ctx.ask[Worker.TransformText,Worker.TextTransformed](selectedWorker, Worker.TransformText(text, _)) { case Success(transformedText) => TransformCompleted(transformedText.text, text) case Failure(ex) => JobFailed("Processing timed out", text) } running(ctx, workers, jobCounter + 1) } case TransformCompleted(originalText, transformedText) => ctx.log.info("Got completed transform of {}: {}", originalText, transformedText) Behaviors.same case JobFailed(why, text) => ctx.log.warn("Transformation of text {} failed. Because: {}", text, why) Behaviors.same }

如今咱们能够示范用group-router来实现某种跨节点的分布式运算。由于group-router是经过Receptionist来实现对routees管理的，而Receptionist是集群全局的，意味着若是咱们在各节点上构建routee，而后向Receptionist登记，就会造成一个跨节点的routee ActorRef清单。若是把任务分配到这个清单上的routee上去运算，应该能实现集群节点负载均衡的效果。下面咱们就示范这个loadbalancer。流程很简单：在一个接入点 （serviceActor）中构建workersRouter，而后3个workerRoutee并向Receptionist登记，把接到的任务分解成子任务逐个发送给workersRouter。每一个workerRoutee完成任务后将结果发送给一个聚合器Aggregator，Aggregator在核对完成接收全部workerRoutee返回的结果后再把汇总结果返回serverActor。先看看这个serverActor：

object Service { val routerServiceKey = ServiceKey[WorkerRoutee.Command]("workers-router") sealed trait Command extends CborSerializable case class ProcessText(text: String) extends Command { require(text.nonEmpty) } case class WrappedResult(res: Aggregator.Response) extends Command def serviceBehavior(workersRouter: ActorRef[WorkerRoutee.Command]): Behavior[Command] = Behaviors.setup[Command] { ctx => val aggregator = ctx.spawn(Aggregator(), "aggregator") val aggregatorRef: ActorRef[Aggregator.Response] = ctx.messageAdapter(WrappedResult) Behaviors.receiveMessage { case ProcessText(text) => ctx.log.info("******************** received ProcessText command: {} ****************",text) val words = text.split(' ').toIndexedSeq aggregator ! Aggregator.CountText(words.size, aggregatorRef) words.foreach { word => workersRouter ! WorkerRoutee.Count(word, aggregator) } Behaviors.same case WrappedResult(msg) => msg match { case Aggregator.Result(res) => ctx.log.info("************** mean length of words = {} **********", res) } Behaviors.same } } def singletonService(ctx: ActorContext[Command], workersRouter: ActorRef[WorkerRoutee.Command]) = { val singletonSettings = ClusterSingletonSettings(ctx.system) .withRole("front") SingletonActor( Behaviors.supervise( serviceBehavior(workersRouter) ).onFailure( SupervisorStrategy .restartWithBackoff(minBackoff = 10.seconds, maxBackoff = 60.seconds, randomFactor = 0.1) .withMaxRestarts(3) .withResetBackoffAfter(10.seconds) ) , "singletonActor" ).withSettings(singletonSettings) } def apply(): Behavior[Command] = Behaviors.setup[Command] { ctx => val cluster = Cluster(ctx.system) val workersRouter = ctx.spawn( Routers.group(routerServiceKey) .withRoundRobinRouting(), "workersRouter" ) (0 until 3).foreach { n => val routee = ctx.spawn(WorkerRoutee(cluster.selfMember.address.toString), s"work-routee-$n") ctx.system.receptionist ! Receptionist.register(routerServiceKey, routee) } val singletonActor = ClusterSingleton(ctx.system).init(singletonService(ctx, workersRouter)) Behaviors.receiveMessage { case job@ProcessText(text) => singletonActor ! job Behaviors.same } } }

总体goup-router和routee的构建是在apply()里，并把接到的任务转发给singletonActor。singletonActor是以serviceBehavior为核心的一个actor。在servceBehavior里把收到的任务分解并分别发送给workersRouter。值得注意的是：serviceBehavior指望接收从Aggregator的回应，它们之间存在request/response模式信息交流，因此须要Aggregator.Response到WrappedResult的类型转换机制。还有：子任务是经过workersRoute发送给个workerRoutee的，咱们须要各workerRoutee把运算结果返给给Aggregator,因此发送给workersRouter的消息包含了Aggregator的ActorRef，如：workersRouter ! WorkerRoutee.Count(cnt,aggregatorRef)。

Aggregator是个persistentActor, 以下：

 

object Aggregator { sealed trait Command sealed trait Event extends CborSerializable sealed trait Response case class CountText(cnt: Int, replyTo: ActorRef[Response]) extends Command case class MarkLength(word: String, len: Int) extends Command case class TextCounted(cnt: Int) extends Event case class LengthMarked(word: String, len: Int) extends Event case class Result(meanWordLength: Double) extends Response case class State(expectedNum: Int = 0, lens: List[Int] = Nil) var replyTo: ActorRef[Response] = _ def commandHandler: (State,Command) => Effect[Event,State] = (st,cmd) => { cmd match { case CountText(cnt,ref) => replyTo = ref Effect.persist(TextCounted(cnt)) case MarkLength(word,len) => Effect.persist(LengthMarked(word,len)) } } def eventHandler: (State, Event) => State = (st,ev) => { ev match { case TextCounted(cnt) => st.copy(expectedNum = cnt, lens = Nil) case LengthMarked(word,len) => val state = st.copy(lens = len :: st.lens) if (state.lens.size >= state.expectedNum) { val meanWordLength = state.lens.sum.toDouble / state.lens.size replyTo ! Result(meanWordLength) State() } else state } } val takeSnapShot: (State,Event,Long) => Boolean = (st,ev,seq) => { if (st.lens.isEmpty) { if (ev.isInstanceOf[LengthMarked]) true
          else
            false } else
         false } def apply(): Behavior[Command] = Behaviors.supervise( Behaviors.setup[Command] { ctx => EventSourcedBehavior( persistenceId = PersistenceId("33","2333"), emptyState = State(), commandHandler = commandHandler, eventHandler = eventHandler ).onPersistFailure( SupervisorStrategy .restartWithBackoff(minBackoff = 10.seconds, maxBackoff = 60.seconds, randomFactor = 0.1) .withMaxRestarts(3) .withResetBackoffAfter(10.seconds) ).receiveSignal { case (state, RecoveryCompleted) => ctx.log.info("**************Recovery Completed with state: {}***************",state) case (state, SnapshotCompleted(meta))  => ctx.log.info("**************Snapshot Completed with state: {},id({},{})***************",state,meta.persistenceId, meta.sequenceNr) case (state,RecoveryFailed(err)) => ctx.log.error("*************recovery failed with: {}***************",err.getMessage) case (state,SnapshotFailed(meta,err)) => ctx.log.error("***************snapshoting failed with: {}*************",err.getMessage) }.snapshotWhen(takeSnapShot) } ).onFailure( SupervisorStrategy .restartWithBackoff(minBackoff = 10.seconds, maxBackoff = 60.seconds, randomFactor = 0.1) .withMaxRestarts(3) .withResetBackoffAfter(10.seconds) ) }

注意这个takeSnapShot函数：这个函数是在EventSourcedBehavior.snapshotWhen(takeSnapShot)调用的。传入参数是（State,Event,seqenceNr)，咱们须要对State,Event的当前值进行分析后返回true表明作一次snapshot。

看看一部分显示就知道任务已经分配到几个节点上的routee：

20:06:59.072 [ClusterSystem-akka.actor.default-dispatcher-15] INFO com.learn.akka.WorkerRoutee$ - ************** processing [this] on akka://ClusterSystem@127.0.0.1:51182 ***********
20:06:59.072 [ClusterSystem-akka.actor.default-dispatcher-3] INFO com.learn.akka.WorkerRoutee$ - ************** processing [text] on akka://ClusterSystem@127.0.0.1:51182 ***********
20:06:59.072 [ClusterSystem-akka.actor.default-dispatcher-36] INFO com.learn.akka.WorkerRoutee$ - ************** processing [be] on akka://ClusterSystem@127.0.0.1:51182 ***********
20:06:59.236 [ClusterSystem-akka.actor.default-dispatcher-16] INFO com.learn.akka.WorkerRoutee$ - ************** processing [will] on akka://ClusterSystem@127.0.0.1:51173 ***********
20:06:59.236 [ClusterSystem-akka.actor.default-dispatcher-26] INFO com.learn.akka.WorkerRoutee$ - ************** processing [is] on akka://ClusterSystem@127.0.0.1:25251 ***********
20:06:59.236 [ClusterSystem-akka.actor.default-dispatcher-13] INFO com.learn.akka.WorkerRoutee$ - ************** processing [the] on akka://ClusterSystem@127.0.0.1:51173 ***********
20:06:59.236 [ClusterSystem-akka.actor.default-dispatcher-3] INFO com.learn.akka.WorkerRoutee$ - ************** processing [that] on akka://ClusterSystem@127.0.0.1:25251 ***********
20:06:59.236 [ClusterSystem-akka.actor.default-dispatcher-3] INFO com.learn.akka.WorkerRoutee$ - ************** processing [analyzed] on akka://ClusterSystem@127.0.0.1:25251 ***********

这个例子的源代码以下：

package com.learn.akka

import akka.actor.typed._
import akka.persistence.typed._
import akka.persistence.typed.scaladsl._
import scala.concurrent.duration._
import akka.actor.typed.receptionist._
import akka.actor.typed.scaladsl.Behaviors
import akka.actor.typed.scaladsl._
import akka.cluster.typed.Cluster
import akka.cluster.typed.ClusterSingleton
import akka.cluster.typed.ClusterSingletonSettings
import akka.cluster.typed.SingletonActor
import com.typesafe.config.ConfigFactory

object WorkerRoutee {
  sealed trait Command extends CborSerializable
  case class Count(word: String, replyTo: ActorRef[Aggregator.Command]) extends Command

  def apply(nodeAddress: String): Behavior[Command] = Behaviors.setup {ctx =>
    Behaviors.receiveMessage[Command] {
      case Count(word,replyTo) =>
        ctx.log.info("************** processing [{}] on {} ***********",word,nodeAddress)
        replyTo ! Aggregator.MarkLength(word,word.length)
        Behaviors.same
    }
  }
}
object Aggregator {
  sealed trait Command
  sealed trait Event extends  CborSerializable
  sealed trait Response

  case class CountText(cnt: Int, replyTo: ActorRef[Response]) extends Command
  case class MarkLength(word: String, len: Int) extends Command
  case class TextCounted(cnt: Int) extends Event
  case class LengthMarked(word: String, len: Int) extends Event
  case class Result(meanWordLength: Double) extends Response

  case class State(expectedNum: Int = 0, lens: List[Int] = Nil)

  var replyTo: ActorRef[Response] = _

  def commandHandler: (State,Command) => Effect[Event,State] = (st,cmd) => {
    cmd match {
      case CountText(cnt,ref) =>
        replyTo = ref
        Effect.persist(TextCounted(cnt))
      case MarkLength(word,len) =>
        Effect.persist(LengthMarked(word,len))
    }
  }
  def eventHandler: (State, Event) => State = (st,ev) => {
    ev match {
      case TextCounted(cnt) =>
        st.copy(expectedNum = cnt, lens = Nil)
      case LengthMarked(word,len) =>
        val state = st.copy(lens = len :: st.lens)
        if (state.lens.size >= state.expectedNum) {
          val meanWordLength = state.lens.sum.toDouble / state.lens.size
          replyTo ! Result(meanWordLength)
          State()
        } else state
    }
  }
  val takeSnapShot: (State,Event,Long) => Boolean = (st,ev,seq) => {
      if (st.lens.isEmpty) {
          if (ev.isInstanceOf[LengthMarked])
            true
          else
            false
      } else
         false
  }
  def apply(): Behavior[Command] = Behaviors.supervise(
    Behaviors.setup[Command] { ctx =>
      EventSourcedBehavior(
        persistenceId = PersistenceId("33","2333"),
        emptyState = State(),
        commandHandler = commandHandler,
        eventHandler = eventHandler
      ).onPersistFailure(
        SupervisorStrategy
          .restartWithBackoff(minBackoff = 10.seconds, maxBackoff = 60.seconds, randomFactor = 0.1)
          .withMaxRestarts(3)
          .withResetBackoffAfter(10.seconds)
      ).receiveSignal {
        case (state, RecoveryCompleted) =>
          ctx.log.info("**************Recovery Completed with state: {}***************",state)
        case (state, SnapshotCompleted(meta))  =>
          ctx.log.info("**************Snapshot Completed with state: {},id({},{})***************",state,meta.persistenceId, meta.sequenceNr)
        case (state,RecoveryFailed(err)) =>
          ctx.log.error("*************recovery failed with: {}***************",err.getMessage)
        case (state,SnapshotFailed(meta,err)) =>
          ctx.log.error("***************snapshoting failed with: {}*************",err.getMessage)
      }.snapshotWhen(takeSnapShot)
    }
  ).onFailure(
    SupervisorStrategy
      .restartWithBackoff(minBackoff = 10.seconds, maxBackoff = 60.seconds, randomFactor = 0.1)
      .withMaxRestarts(3)
      .withResetBackoffAfter(10.seconds)
  )
}
object Service {
  val routerServiceKey = ServiceKey[WorkerRoutee.Command]("workers-router")

  sealed trait Command extends CborSerializable

  case class ProcessText(text: String) extends Command {
    require(text.nonEmpty)
  }

  case class WrappedResult(res: Aggregator.Response) extends Command

  def serviceBehavior(workersRouter: ActorRef[WorkerRoutee.Command]): Behavior[Command] = Behaviors.setup[Command] { ctx =>
    val aggregator = ctx.spawn(Aggregator(), "aggregator")
    val aggregatorRef: ActorRef[Aggregator.Response] = ctx.messageAdapter(WrappedResult)
    Behaviors.receiveMessage {
      case ProcessText(text) =>
        ctx.log.info("******************** received ProcessText command: {} ****************",text)
        val words = text.split(' ').toIndexedSeq
        aggregator ! Aggregator.CountText(words.size, aggregatorRef)
        words.foreach { word =>
          workersRouter ! WorkerRoutee.Count(word, aggregator)
        }
        Behaviors.same
      case WrappedResult(msg) =>
        msg match {
          case Aggregator.Result(res) =>
            ctx.log.info("************** mean length of words = {} **********", res)
        }
        Behaviors.same
    }
  }

  def singletonService(ctx: ActorContext[Command], workersRouter: ActorRef[WorkerRoutee.Command]) = {
    val singletonSettings = ClusterSingletonSettings(ctx.system)
      .withRole("front")
    SingletonActor(
      Behaviors.supervise(
        serviceBehavior(workersRouter)
      ).onFailure(
        SupervisorStrategy
          .restartWithBackoff(minBackoff = 10.seconds, maxBackoff = 60.seconds, randomFactor = 0.1)
          .withMaxRestarts(3)
          .withResetBackoffAfter(10.seconds)
      )
      , "singletonActor"
    ).withSettings(singletonSettings)
  }

  def apply(): Behavior[Command] = Behaviors.setup[Command] { ctx =>
    val cluster = Cluster(ctx.system)
    val workersRouter = ctx.spawn(
      Routers.group(routerServiceKey)
        .withRoundRobinRouting(),
      "workersRouter"
    )
    (0 until 3).foreach { n =>
      val routee = ctx.spawn(WorkerRoutee(cluster.selfMember.address.toString), s"work-routee-$n")
      ctx.system.receptionist ! Receptionist.register(routerServiceKey, routee)
    }
    val singletonActor = ClusterSingleton(ctx.system).init(singletonService(ctx, workersRouter))
    Behaviors.receiveMessage {
      case job@ProcessText(text) =>
        singletonActor ! job
        Behaviors.same
    }
  }

}

object LoadBalance {
  def main(args: Array[String]): Unit = {
    if (args.isEmpty) {
      startup("compute", 25251)
      startup("compute", 25252)
      startup("compute", 25253)
      startup("front", 25254)
    } else {
      require(args.size == 2, "Usage: role port")
      startup(args(0), args(1).toInt)
    }
  }

  def startup(role: String, port: Int): Unit = {
    // Override the configuration of the port when specified as program argument
    val config = ConfigFactory
      .parseString(s"""
      akka.remote.artery.canonical.port=$port
      akka.cluster.roles = [$role]
      """)
      .withFallback(ConfigFactory.load("cluster-persistence"))

    val frontEnd = ActorSystem[Service.Command](Service(), "ClusterSystem", config)
    if (role == "front") {
      println("*************** sending ProcessText command  ************")
      frontEnd ! Service.ProcessText("this is the text that will be analyzed")
    }

  }

}

cluster-persistence.conf

akka.actor.allow-java-serialization = on
akka {
  loglevel = INFO
  actor {
    provider = cluster
    serialization-bindings {
      "com.learn.akka.CborSerializable" = jackson-cbor
    }
  }
 remote {
    artery {
      canonical.hostname = "127.0.0.1"
      canonical.port = 0
    }
  }
  cluster {
    seed-nodes = [
      "akka://ClusterSystem@127.0.0.1:25251",
      "akka://ClusterSystem@127.0.0.1:25252"]
  }
  # use Cassandra to store both snapshots and the events of the persistent actors
  persistence {
    journal.plugin = "akka.persistence.cassandra.journal"
    snapshot-store.plugin = "akka.persistence.cassandra.snapshot"
  }
}
akka.persistence.cassandra {
  # don't use autocreate in production
  journal.keyspace = "poc"
  journal.keyspace-autocreate = on
  journal.tables-autocreate = on
  snapshot.keyspace = "poc_snapshot"
  snapshot.keyspace-autocreate = on
  snapshot.tables-autocreate = on
}

datastax-java-driver {
  basic.contact-points = ["192.168.11.189:9042"]
  basic.load-balancing-policy.local-datacenter = "datacenter1"
}

build.sbt

name := "learn-akka-typed"

version := "0.1"

scalaVersion := "2.13.1"
scalacOptions in Compile ++= Seq("-deprecation", "-feature", "-unchecked", "-Xlog-reflective-calls", "-Xlint")
javacOptions in Compile ++= Seq("-Xlint:unchecked", "-Xlint:deprecation")

val AkkaVersion = "2.6.5"
val AkkaPersistenceCassandraVersion = "1.0.0"


libraryDependencies ++= Seq(
  "com.typesafe.akka" %% "akka-cluster-sharding-typed" % AkkaVersion,
  "com.typesafe.akka" %% "akka-persistence-typed" % AkkaVersion,
  "com.typesafe.akka" %% "akka-persistence-query" % AkkaVersion,
  "com.typesafe.akka" %% "akka-serialization-jackson" % AkkaVersion,
  "com.typesafe.akka" %% "akka-persistence-cassandra" % AkkaPersistenceCassandraVersion,
  "com.typesafe.akka" %% "akka-slf4j" % AkkaVersion,
  "ch.qos.logback"     % "logback-classic"             % "1.2.3"
)