先谈谈akka-typed的router actor。route 分pool router, group router两类。我们先看看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。每个routee都是通过WorkerRoutee()构建的，意味着routee池中只有一个种类的actor。pool-router是通过工厂方法直接在本地（JVM）构建（spawn）所有的routee。也就是说所有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：
1、routee是在router之外构建的，router是用一个key通过Receptionist获取同key的actor清单作为routee group的
2、Receptionist是集群全局的。任何节点上的actor都可以发送注册消息在Receptionist上登记
3、没有size限制，任何actor一旦在Receptionist上登记即变成routee，接受router管理
应该说如果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。不过对不同的运算任务需要多少routee则需要用户自行决定，不像以前akka-classic里通过cluster-metrics根据节点负载情况自动增减routee实例那么方便。
Receptionist: 既然说到，那么就再深入一点介绍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都可以在Receptonist上注册形成一个生存在集群中不同节点的actor清单。如果Receptionist把这个清单提供给一个用户，那么这个用户就可以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：通过向本节点的Receptionist发送消息去登记ActorRef，然后通过Receptionist发布的登记变化消息即可获取最新的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作为关联的。那么获取的清单内应该全部是一种类型的actor，只不过它们的地址可能是跨节点的，但它们只能进行同一种运算。从另一个角度说，一项任务是分布在不同节点的actor并行进行运算的。
在上篇讨论里提过：如果发布-订阅机制是在两个actor之间进行的，那么这两个actor也需要在规定的信息交流协议框架下作业：我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：登记者不需要Receptionist返回消息，所以随便用ctx.self作为消息的sender。注意TransformText的replyTo: ActorRef[TextTransformed]，代表sender是个可以处理TextTransformed消息类型的actor。实际上，在sender方是通过ctx.ask提供了TextTransformed的类型转换。
Receptionist.Subscribe需要Receptionist返回一个actor清单，所以是个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，如下：
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，如下：
...
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转换如下：
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定义如下：
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
}
现在我们可以示范用group-router来实现某种跨节点的分布式运算。因为group-router是通过Receptionist来实现对routees管理的，而Receptionist是集群全局的，意味着如果我们在各节点上构建routee，然后向Receptionist登记，就会形成一个跨节点的routee ActorRef清单。如果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。下面我们就示范这个loadbalancer。流程很简单：在一个接入点 （serviceActor）中构建workersRouter，然后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在核对完成接收所有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
}
}
}
整体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期望接收从Aggregator的回应，它们之间存在request/response模式信息交流，所以需要Aggregator.Response到WrappedResult的类型转换机制。还有：子任务是通过workersRoute发送给个workerRoutee的，我们需要各workerRoutee把运算结果返给给Aggregator,所以发送给workersRouter的消息包含了Aggregator的ActorRef，如：workersRouter ! WorkerRoutee.Count(cnt,aggregatorRef)。
Aggregator是个persistentActor, 如下：
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)，我们需要对State,Event的当前值进行分析后返回true代表做一次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 ***********
这个例子的源代码如下：
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" )