diff --git a/wtf-scala/akka_introduction.md b/wtf-scala/akka_introduction.md
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+---
+marp: true
+theme: gaia
+---
+
+# 
+#### 2018. 03. 31
+###### Sangwon Lee
+
+---
+
+### Background
+
+Many common practices and accepted programming models do not address important challenges inherent in designing systems for modern computer architectures. To be successful, **_distributed systems must cope in an environment where components crash without responding, messages get lost without a trace on the wire, and network latency fluctuates. These problems occur regularly in carefully managed intra-datacenter environments - even more so in virtualized architectures._**
+
+---
+
+### Challenges
+##### The challenge of encapsulation
+
+---
+
+#### The challenge of encapsulation
+
+- We have 3-objects, it depnds on each other.
+
+
+
+---
+
+- In single thread environment, no problem.
+
+
+
+---
+
+- Under multi-threaded environment,
+
+
+
+
+
+
+---
+
+In summary,
+
+- Objects can only guarantee encapsulation in the face of single-threaded access, multi-thread execution almost always leads to corrupted internal state.
+
+- While locks seem to be the natural remedy to uphold encapsulation with multiple threads, in practice they are inefficient and easily lead to deadlocks in any application of real-world scale.
+
+- Locks work locally, attempts to make them distributed exist, but offer limited potential for scaling out.
+
+---
+
+#### The illusion of shared memory on modern computer architectures
+
+- Programming models of the 80’-90’s conceptualize that writing to a variable means writing to a memory location directly.
+
+- On modern architectures, CPUs are writing to cache lines instead of writing to memory directly.
+
+---
+
+##### So,
+- There is no real shared memory anymore, CPU cores pass chunks of data (cache lines) explicitly to each other just as computers on a network do.
+
+- Inter-CPU communication and network communication have more in common than many realize. Passing messages is the norm now be it across CPUs or networked computers.
+
+- To keep state local to a concurrent entity and propagate data or events between concurrent entities explicitly via messages.
+
+---
+
+#### The illusion of a call stack
+
+
+
+---
+
+- how can the “caller” be notified of the completion of the task?
+
+- When a task fails with an exception, where does the exception propagate to?
+
+- This bad situation gets worse when things go really wrong and a worker backed by a thread encounters a bug and ends up in an unrecoverable situation.
+
+---
+
+##### So,
+
+- To achieve any meaningful concurrency and performance on current systems, threads must delegate tasks among each other in an efficient way **without blocking**.
+
+- With this style of task-delegating concurrency call stack-based error handling breaks down and new, **explicit error signaling mechanisms** need to be introduced. Failures become part of the domain model.
+
+- **Concurrent systems** with work delegation needs to handle service **faults** and have principled means to **recover** from them.
+
+---
+
+### Finally, we got AKKA
+
+###### AKKA provides
+
+- Multi-threaded behavior without the use of low-level concurrency constructs like atomics or locks.
+
+- Transparent remote communication between systems and their components.
+
+- A clustered, high-availability architecture that is elastic, scales in or out, on demand.
+
+---
+
+### The name AKKA comes from
+
+- It is the name of a beautiful Swedish mountain up in the northern part of Sweden called Laponia.
+
+- Akka is also the name of a goddess in the Sámi (the native Swedish population) mythology. She is the goddess that stands for all the beauty and good in the world.
+
+- Also, the name AKKA is a palindrome of the letters A and K as in `Actor Kernel`.
+
+---
+
+### Actor Model
+
+---
+
+### Concept
+##### How does it work?
+
+
+
+---
+
+### Benefit
+
+- Enforce encapsulation without resorting to locks.
+
+- Use the model of cooperative entities reacting to signals, changing state, and sending signals to each other to drive the whole application forward.
+
+- Stop worrying about an executing mechanism which is a mismatch to our world view.
+
+---
+
+
+
+ An important difference between passing messages and
+ calling methods is that messages have no return value.
+ By sending a message, an actor delegates work to another
+ actor. As we saw in The illusion of a call stack, if it
+ expected a return value, the sending actor would either
+ need to block or to execute the other actor’s work on the
+ same thread. Instead, the receiving actor delivers
+ the results in a reply message.
+
+---
+
+
+
+ 1. The actor adds the message to the end of a queue.
+ 2. If the actor was not scheduled for execution,
+ it is marked as ready to execute.
+ 4. A (hidden) scheduler entity takes the actor
+ and starts executing it.
+ 6. Actor picks the message from the front of the queue.
+ 7. Actor modifies internal state,
+ sends messages to other actors.
+ 9. The actor is unscheduled.
+
+---
+
+### Consist of
+
+### `A mailbox`
+the queue where messages end up
+
+### `A behavior`
+the state of the actor, internal variables etc.
+
+### `Messages`
+pieces of data representing a signal, similar to method calls and their parameters.
+
+---
+
+### `An execution environment`
+the machinery that takes actors that have messages to react to and invokes their message handling code.
+
+### `An address`
+url that refers to the actor instnace. as contact point of an actor receiving messages.
+
+---
+
+# Example
+
+https://developer.lightbend.com/guides/akka-quickstart-scala/?_ga=2.181057071.943154346.1522457793-973825023.1521697278?_ga=2.181057071.943154346.1522457793-973825023.1521697278
+
+https://doc.akka.io/docs/akka/2.5/guide/tutorial.html
diff --git a/wtf-scala/akka_pipe_filter_router.md b/wtf-scala/akka_pipe_filter_router.md
new file mode 100644
index 0000000..0fdca8a
--- /dev/null
+++ b/wtf-scala/akka_pipe_filter_router.md
@@ -0,0 +1,707 @@
+---
+marp: true
+theme: gaia
+---
+
+# 
+#### 2018. 04. 26
+###### Sangwon Lee
+
+---
+
+### Topic
+
+- 파이프라인
+ - 파이프-필터 패턴
+ - 분배-취합 패턴
+ - 라우팅 슬립 패턴
+ - 라우터 패턴
+ - 풀 라우터
+ - 그룹 라우터
+ - ConsistentHasing 라우터
+
+---
+
+### 파이프라인
+
+**파이프?** 한 프로세스(서)나 스레드가 결과를 다른 프로세스(서)나 스레드에게 전달해서 다음 처리를 맡기는 것.
+
+**파이프라인?** 파이프로 여러 컴포넌트를 연결한 것. 특정 단계에서 독립적으로 처리할 수 있는 부분을 병렬로 수행할 수도 있음.
+
+
+
+---
+
+#### 파이프-필터(Pipe-Filter) 패턴
+
+- 시스템에서 단일 이벤트가 일련의 작업을 촉발할때
+- 가령, 과속 탐지 카메라
+ - 사진을 찍고
+ - 속도를 측정하고
+ - 사진에서 번호판을 추출하고
+
+
+
+---
+
+```scala
+case class Photo(
+ license: String, speed: Int)
+
+class SpeedFilter(minSpeed: Int, pipe: ActorRef)
+ extends Actor {
+ def receive = {
+ case msg: Photo =>
+ if (msg.speed > minSpeed)
+ pipe ! msg
+ }
+}
+
+class LicenseFilter(pipe: ActorRef) extends Actor {
+ def receive = {
+ case msg: Photo =>
+ if (!msg.license.isEmpty)
+ pipe ! msg
+ }
+}
+```
+
+---
+
+```scala
+// 속도 검사 필터에서 더 많은 메시지가 걸러진다고 가정하고,
+// SpeedFilter --> LicenseFilter 순으로 메시지 파이프라이닝
+val endProbe = TestProbe()
+val licenseFilterRef = system.actorOf(
+ Props(new LicenseFilter(endProbe.ref)))
+
+val speedFilterRef = system.actorOf(
+ Props(new SpeedFilter(50, licenseFilterRef)))
+
+val msg = new Photo("123xyz", 60)
+speedFilterRef ! msg
+endProbe.expectMsg(msg)
+
+speedFilterRef ! new Photo("", 60)
+endProbe.expectNoMsg(1 second)
+
+speedFilterRef ! new Photo("123xyz", 49)
+endProbe.expectNoMsg(1 second)
+```
+
+---
+
+#### 분배-취합(Scatter-Gather) 패턴
+
+- 작업을 병렬로 실행하고 싶을때
+- 두가지 케이스에 많이 활용
+ - 같은 기능의 작업(경쟁 작업)을 분배하고 그 결과 중 하나만 취합
+ - 예) 여러 정렬 알고리즘을 동시 실행, 그 중 가장 빠른 결과를 사용하고 나머지는 버림
+ - 전체 작업을 여러개로 분할해서 분배하고 결과를 모두 취합
+ - 예) 앞서, 과속 탐지 카메라의 속도와 번호판 인식을 병렬로 수행시킴
+
+---
+
+#### `경쟁 작업의 분배 및 취합`
+
+_물품의 가격을 가져오기 위해 여러 공급사(supplier)에 가격을 요청하고 그 중에 가장 저렴한 가격을 Take._
+
+
+
+---
+
+#### `작업을 분할하여 분배 및 취합 (1/3)`
+
+_과속탐지기의 촬영 사진으로부터 시간과 속도를 추출하는 작업을 GetTime / GetSpeed 로 분할하여 처리하고 취합._
+
+ 
+
+---
+
+#### `작업을 분할하여 분배 및 취합 (2/3)`
+
+**Scatter 구현** (RecipientList Actor)
+
+
+
+
+
+---
+
+```scala
+val endProbe1 = TestProbe()
+val endProbe2 = TestProbe()
+val endProbe3 = TestProbe()
+val list = Seq(
+ endProbe1.ref,
+ endProbe2.ref,
+ endProbe3.ref)
+
+val actorRef = system.actorOf(
+ Props(new RecipientList(list)))
+
+val msg = "message"
+actorRef ! msg
+endProbe1.expectMsg(msg)
+endProbe2.expectMsg(msg)
+endProbe3.expectMsg(msg)
+
+```
+
+---
+
+#### `작업을 분할하여 분배 및 취합 (3/3)`
+
+**Gather 구현** (Aggregator Actor)
+
+
+
+---
+
+```scala
+class Aggregator(timeout: Duration, pipe: ActorRef)
+ extends Actor {
+ val messages = new ListBuffer[PhotoMessage]
+ def receive = {
+ case rcvMsg: PhotoMessage => {
+ messages.find(_.id == rcvMsg.id) match {
+ case Some(alreadyRcvMsg) => {
+ val newCombinedMsg = new PhotoMessage(
+ rcvMsg.id,
+ rcvMsg.photo,
+ rcvMsg.creationTime.orElse(alreadyRcvMsg.creationTime),
+ rcvMsg.speed.orElse(alreadyRcvMsg.speed))
+ pipe ! newCombinedMsg
+ //cleanup message
+ messages -= alreadyRcvMsg
+ }
+ case None => messages += rcvMsg
+ }
+ }
+}
+```
+
+---
+
+```scala
+val endProbe = TestProbe()
+val actorRef = system.actorOf(
+ Props(new Aggregator(1 second, endProbe.ref)))
+
+val photoStr = ImageProcessing.createPhotoString(
+ new Date(), 60)
+
+val msg1 = PhotoMessage("id1", photoStr,
+ Some(new Date()),None)
+actorRef ! msg1
+
+val msg2 = PhotoMessage("id1", photoStr,
+ None, Some(60))
+actorRef ! msg2
+
+val combinedMsg = PhotoMessage("id1", photoStr,
+ msg1.creationTime, msg2.speed)
+endProbe.expectMsg(combinedMsg)
+```
+
+---
+
+#### 라우팅 슬립(Routing Slip) 패턴
+
+- 파이프-필터 패턴의 동적인 버전
+- 작업의 흐름을
+ - 전혀 다른 파이프-필터를 태우거나
+ - 파이프라인의 특정 파이프부터 태우거나
+- Router가 메시지가 처리될 Actor의 경로를 결정해서 routeSlip (Seq[ActorRef])에 담음
+- routeSlip은 모든 메시지 포함됨
+- 메시지를 처리하는 각 액터는 routeSlip의 액터 순서에 따라 다음 액터에게 메시지를 넘김
+
+---
+
+
+
+`slip` 노트북 파우치 처럼 밀어넣는 느낌의 주머니라고 생각하시면 됩니다. 환자가들어와서 나갈때까지 진료에 실수가 없도록 발생한 문서들을 차곡차곡 넣어두는 봉투라는 병원 용어로도 쓰인다고 하네요. routeSlip 은 어떤 여정을 담는 주머니. (feat. 리아)
+
+---
+
+```scala
+case class RouteSlipMessage(
+ routeSlip: Seq[ActorRef],
+ message: AnyRef)
+
+trait RouteSlip {
+ def sendMessageToNextTask(routeSlip: Seq[ActorRef],
+ message: AnyRef): Unit = {
+
+ val nextTask = routeSlip.head
+ val newSlip = routeSlip.tail
+ if (newSlip.isEmpty) {
+ nextTask ! message
+ } else {
+ nextTask ! RouteSlipMessage(
+ routeSlip = newSlip,
+ message = message)
+ }
+ }
+}
+```
+
+---
+
+```scala
+class PaintCar(color: String) extends Actor with RouteSlip {
+ def receive = {
+ case RouteSlipMessage(routeSlip, car: Car) => {
+ sendMessageToNextTask(routeSlip, car.copy(color = color))
+ }
+ }
+}
+class AddNavigation() extends Actor with RouteSlip {
+ def receive = {
+ case RouteSlipMessage(routeSlip, car: Car) => {
+ sendMessageToNextTask(routeSlip, car.copy(hasNavigation = true))
+ }
+ }
+}
+class AddParkingSensors() extends Actor with RouteSlip {
+ def receive = {
+ case RouteSlipMessage(routeSlip, car: Car) => {
+ sendMessageToNextTask(routeSlip, car.copy(hasParkingSensors = true))
+ }
+ }
+}
+```
+
+---
+
+```scala
+class SlipRouter(endStep: ActorRef) extends Actor with RouteSlip {
+ val paintBlack = context.actorOf(
+ Props(new PaintCar("black")), "paintBlack")
+ val paintGray = context.actorOf(
+ Props(new PaintCar("gray")), "paintGray")
+ val addNavigation = context.actorOf(
+ Props[AddNavigation], "navigation")
+ val addParkingSensor = context.actorOf(
+ Props[AddParkingSensors], "parkingSensors")
+ def receive = {
+ case order: Order => {
+ val routeSlip = createRouteSlip(order.options)
+ sendMessageToNextTask(routeSlip, new Car)
+ }
+ }
+
+ private def createRouteSlip...
+}
+```
+
+---
+
+```scala
+private def createRouteSlip(
+ options: Seq[CarOptions.Value]): Seq[ActorRef] = {
+
+ val routeSlip = new ListBuffer[ActorRef]
+ //car needs a color
+ if (!options.contains(CarOptions.CAR_COLOR_GRAY)) {
+ routeSlip += paintBlack
+ }
+ options.foreach {
+ case CarOptions.CAR_COLOR_GRAY => routeSlip += paintGray
+ case CarOptions.NAVIGATION => routeSlip += addNavigation
+ case CarOptions.PARKING_SENSORS => routeSlip += addParkingSensor
+ case other => //do nothing
+ }
+ routeSlip += endStep
+ routeSlip
+}
+```
+
+---
+
+```scala
+val probe = TestProbe()
+val router = system.actorOf(
+ Props(new SlipRouter(probe.ref)), "SlipRouter")
+```
+
+```scala
+val minimalOrder = new Order(Seq())
+router ! minimalOrder
+
+val defaultCar = new Car(color = "black", hasNavigation = false, hasParkingSensors = false)
+probe.expectMsg(defaultCar)
+
+val fullOrder = new Order(Seq(CarOptions.CAR_COLOR_GRAY, CarOptions.NAVIGATION, CarOptions.PARKING_SENSORS))
+router ! fullOrder
+
+val carWithAllOptions = new Car(color = "gray", hasNavigation = true, hasParkingSensors = true)
+probe.expectMsg(carWithAllOptions)
+```
+
+---
+
+#### 라우터 패턴
+
+`라우터`
+
+메시지를 어디로 보낼지 결정하는 녀석
+
+`라우티`
+
+라우터가 선택할 수 있는 작업(액터)
+
+`라우팅`
+
+메시지의 내용에 따라, 혹은 처리시간이 오래 걸리는 메시지를 병렬로 처리하기 위해, 혹은 라우터의 상태에 따라 메시지의 흐름을 결정하는 일
+
+---
+
+- 이전 챕터에서는 파이프-필터 / 분배-취합 / 라우팅슬립 등의 패턴으로 메시지의 흐름을 제어하는 방법을 익혔다면
+
+- 이번 챕터는 수 많은 메시지를 처리할때 시스템의 성능을 높이는 방법. 즉, 로드 밸런싱을 위한 라우팅에 집중을 해봄
+
+
+
+---
+**내장라우터 종류**
+|풀(Pool)|그룹(Group)|
+|-|-|
+|- 라우티를 관리|- 라우티를 안관리|
+|- 라우티를 만드는 것부터 라우티 종료 시 목록에서 제거하는 것 까지 책임|- 라우티는 시스템에 의해 생성되며 그룹 라우터는 액터 선택을 사용해 라우티를 선택|
+|- 라우티를 복구하는데 특별한 절차가 안필요|- 그룹 라우터는 라우티를 감시하지 않으므로 라우티 관리는 시스템의 다른 부분에서 구현해야함|
+|- 단순해서 쉽게 쓸 수 있지만 라우팅 로직의 커스터마이징이 불가|- 라우티의 생명주기를 특별히 제어하고 싶을때 사용하기 좋음
+
+---
+
+**풀 라우터와 그룹 라우터의 액터 계층**
+
+
+
+---
+
+**아카에서 사용할 수 있는 라우터 목록**
+
+**RoundRobinRoutingLogic**
+첫번째로 도착한 메시지를 첫번째 라우티, 두번째 메시지는 두번째 라우티, ...
+
+`Pool` RoundRobinPool
+`Group` RoundRobinGroup
+\
+\
+**SmallestMailboxRoutingLogic**
+라우티의 수신함을 검사해서 수신함에 가장 메시지가 적은 라우티를 선택. 액터 내부 기능을 이용하기 때문에 액터 참조를 이용하는 경우는 우편함의 길이를 알 수 없어서 그룹 라우터는 미존재.
+
+`Pool` SmallestMailboxPool
+`Group` N/A
+
+---
+
+**BalancingRoutingLogic**
+유휴 상태인 라우티에 메시지를 분배. 이 라우터는 모든 라우티에 대해 우편함을 하나만 사용함. 특별한 디스패처를 사용함. 그래서 이것도 그룹은 없음. 또한, 이 라우터는 broadcast를 지원하지 않음. (왜?)
+
+`Pool` BalancingPool
+`Group` N/A
+\
+\
+**BroadcastRoutingLogic**
+받은 메시지를 모든 라우티에 전달.
+
+`Pool` BroadcastPool
+`Group` BroadcastGroup
+
+---
+
+**ScatterGatherFirstCompletedRoutingLogic**
+메시지를 모든 라우티에 전달하고 최초로 돌아오는 응답을 요청한 객체에 돌려줌. 경쟁 작업의 분배-취합 패턴이라고 보면 됨.
+
+`Pool` ScatterGatherFirstCompletedPool
+`Group` ScatterGatherFirstCompletedGroup
+\
+\
+**ConsistentHashingRoutingLogic**
+메시지의 일관성 있는 해시값을 가지고 라우티를 선택. 여러 다른 메시지가 같은 라우티에 전달되어야 할때 사용.
+
+`Pool` ConsistentHashingPool
+`Group` ConsistentHashingGroup
+
+---
+
+#### 풀 라우터와 그룹 라우터
+
+앞선 예제인 과속탐지 시스템에서 차량 번호를 추출하는 GetLicense 액터를 라우티로 하여 `풀라우터`와 `그룹라우터`를 생성하고 이용해보자.
+
+두 라우터 설정 모두 동적으로 라우티(액터)의 사이즈를 변경시키는 resize 라는 정책들이 있는데, 그 부분은 Skip.
+
+---
+##### 풀 라우터
+
+_설정으로 풀라우터 생성_
+
+```scala
+val router = system.actorOf(
+ FromConfig.props(Props(new GetLicense(endProbe.ref))),
+ "poolRouter" // <-- 설정에 정의된 이름
+)
+```
+
+```scala
+akka.actor.deployment {
+ /poolRouter { // 라우터의 전체 이름
+ router = balancing-pool // 라우티가 사용할 로직
+ nr-of-instances = 5 // 풀에 있는 라우티의 수
+ }
+}
+```
+
+---
+
+_코드로 풀라우터 생성_
+
+```scala
+val router = system.actorOf(
+ BalancingPool(5).props(Props(new GetLicense(endProbe.ref))),
+ "poolRouter"
+)
+
+```
+
+_라우터에게 메시지 보내기_
+
+```scala
+router ! Photo("123xyz", 60)
+```
+
+---
+
+_원격서버에 라우티를 인스턴스화하는 방법_
+
+```scala
+val addresses = Seq(
+ Address("akka.tcp", "GetLicenseSystem", "192.1.1.20", 1234),
+ AddressFromURIString("akka.tcp://GetLicenseSystem@192.1.1.21:1234"))
+
+val routerRemote1 = system.actorOf(
+ RemoteRouterConfig(FromConfig(), addresses)
+ .props(Props(new GetLicense(endProbe.ref))),
+ "poolRouter-config")
+
+val routerRemote2 = system.actorOf(
+ RemoteRouterConfig(RoundRobinPool(5), addresses)
+ .props(Props(new GetLicense(endProbe.ref))),
+ "poolRouter-code")
+```
+
+---
+
+##### 그룹 라우터
+
+_라우티의 생성만 담당하는 Creator 액터를 하나 만들고 생성_
+
+```scala
+class GetLicenseCreator(nrActors: Int) extends Actor {
+ override def preStart() {
+ super.preStart()
+ (0 until nrActors).map { nr =>
+ context.actorOf(Props[GetLicense], "GetLicense" + nr)
+ }
+ }
+}
+
+system.actorOf(Props(new GetLicenseCreator(2)), "Creator")
+
+```
+
+---
+
+_설정으로 그룹라우터 생성_
+
+```scala
+akka.actor.deployment {
+ /groupRouter { // 라우터의 루트 이름
+ router = round-robin-group // 라우터가 사용할 로직
+ routees.paths = [ // 사용할 라우티의 액터 경로
+ "/user/Creator/GetLicense0",
+ "/user/Creator/GetLicense1"]
+ }
+}
+
+val router = system.actorOf(FromConfig.props(), "groupRouter")
+
+```
+
+---
+
+_코드로 그룹라우터 생성_
+
+```scala
+val paths = List(
+ "/user/Creator/GetLicense0",
+ "/user/Creator/GetLicense1")
+
+val router = system.actorOf(
+ RoundRobinGroup(paths).props(), "groupRouter")
+```
+
+---
+
+_원격서버의 액터를 라우티로_
+
+```scala
+akka.actor.deployment {
+ /groupRouter {
+ router = round-robin-group
+ routees.paths = [
+ "akka.tcp://AkkaSystemName@10.0.0.1:2552/user/Creator/GetLicense0",
+ "akka.tcp://AkkaSystemName@10.0.0.2:2552/user/Creator/GetLicense0"
+ ]
+ }
+}
+```
+
+---
+
+_라우티가 종료되었을때 새 액터 만들기_
+
+```scala
+class GetLicenseCreator(nrActors: Int) extends Actor {
+ override def preStart() {
+ super.preStart()
+ (0 until nrActors).map(nr => {
+ val child = context.actorOf(
+ Props(new GetLicense(nextStep)), "GetLicense" + nr)
+ context.watch(child)
+ })
+ }
+
+ def receive = {
+ case Terminated(child) => {
+ val newChild = context.actorOf(
+ Props(new GetLicense(nextStep)), child.path.name)
+ context.watch(newChild)
+ }
+ }
+}
+```
+
+---
+
+##### ConsistentHasing 라우터
+
+- 라우터를 사용하면 규모 확장이 용이하지만
+- 메시지가 여러 라우티에 분산됨에 따라
+- 순서나 컨텍스트를 고려할 필요가 있을때는
+- 특별한 처리가 필요한데 그때 이게 필요
+
+
+
+---
+
+_메시지로부터 메시지 키를 만드는게 핵심 (3가지 방법)_
+
+- 라우터 내에 정의된 부분 함수 사용
+ - 라우터에 따라 서로 다른 결정을 할 수 있음
+
+- 메시지에 해시 매핑을 넣는 방법
+ - 사용한 메시지에 따라 서로 다른 결정
+
+- 송신자가 해시 매핑을 아는 경우
+ - 송신자에 따라 다른 결정, 사용할 메시지키를 송신자가 알 수 있음
+
+---
+
+_여러 메시지를 합치는 이런 액터가 있다고 치고.._
+
+```scala
+trait GatherMessage {
+ val id: String
+ val values: Seq[String]
+}
+case class GatherMessageNormalImpl(id:String, values:Seq[String]) extends GatherMessage
+class SimpleGather(nextStep: ActorRef) extends Actor {
+ var messages = Map[String, GatherMessage]()
+ def receive = {
+ case msg: GatherMessage => {
+ messages.get(msg.id) match {
+ case None => messages += msg.id -> msg
+ case Some(previous) =>
+ nextStep ! GatherMessageNormalImpl(msg.id, previous.values ++ msg.values)
+ messages -= msg.id
+ }
+ }
+ }
+}
+```
+
+---
+
+`라우터 내에 정의된 부분 함수 사용`
+```scala
+def hashMapping: ConsistentHashMapping = {
+ case msg: GatherMessage => msg.id
+}
+
+val router = system.actorOf(
+ ConsistentHashingPool(10,
+ virtualNodesFactor = 10, // 라우티당 가상 해시 노드 수
+ hashMapping = hashMapping // 해시 매핑 함수 지정
+ ).props(Props(new SimpleGather(endProbe.ref))),
+ name = "routerMapping"
+)
+```
+
+```scala
+router ! GatherMessageNormalImpl("1", Seq("msg1"))
+router ! GatherMessageNormalImpl("1", Seq("msg2"))
+endProbe.expectMsg(GatherMessageNormalImpl("1",Seq("msg1","msg2")))
+```
+
+---
+
+`메시지에 해시 매핑을 넣는 방법`
+
+```scala
+import akka.routing.ConsistentHashingRouter.ConsistentHashable
+
+case class GatherMessageWithHash(id: String, values: Seq[String])
+ extends GatherMessage with ConsistentHashable {
+
+ override def consistentHashKey: Any = id
+}
+```
+
+```scala
+val router = system.actorOf(
+ ConsistentHashingPool(10, virtualNodesFactor = 10)
+ .props(Props(new SimpleGather(endProbe.ref))),
+ name = "routerMessage"
+)
+
+router ! GatherMessageWithHash("1", Seq("msg1"))
+router ! GatherMessageWithHash("1", Seq("msg2"))
+endProbe.expectMsg(GatherMessageNormalImpl("1",Seq("msg1","msg2")))
+```
+
+---
+
+`송신자가 해시 매핑을 아는 경우`
+
+```scala
+import akka.routing.ConsistentHashingRouter.ConsistentHashableEnvelope
+
+val router = system.actorOf(
+ ConsistentHashingPool(10, virtualNodesFactor = 10)
+ .props(Props(new SimpleGather(endProbe.ref))),
+ name = "routerMessage"
+)
+
+router ! ConsistentHashableEnvelope(
+ message = GatherMessageNormalImpl("1", Seq("msg1")), hashKey = "1")
+router ! ConsistentHashableEnvelope(
+ message = GatherMessageNormalImpl("1", Seq("msg2")), hashKey = "1")
+endProbe.expectMsg(GatherMessageNormalImpl("1",Seq("msg1","msg2")))
+```
+
+---
+
+### Thanks
\ No newline at end of file
diff --git a/wtf-scala/package-lock.json b/wtf-scala/package-lock.json
new file mode 100644
index 0000000..ded0ed8
--- /dev/null
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@@ -0,0 +1,3590 @@
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diff --git a/wtf-scala/package.json b/wtf-scala/package.json
new file mode 100644
index 0000000..b49ac82
--- /dev/null
+++ b/wtf-scala/package.json
@@ -0,0 +1,14 @@
+{
+ "scripts": {
+ "build": "marp --pdf *.md"
+ },
+ "devDependencies": {
+ "@marp-team/marp-cli": "^1.5.0"
+ },
+ "prettier": {
+ "trailingComma": "es5",
+ "tabWidth": 2,
+ "semi": false,
+ "singleQuote": true
+ }
+}
diff --git a/wtf-scala/scala_wtf_hurdles.md b/wtf-scala/scala_wtf_hurdles.md
new file mode 100644
index 0000000..52137ba
--- /dev/null
+++ b/wtf-scala/scala_wtf_hurdles.md
@@ -0,0 +1,774 @@
+---
+marp: true
+theme: gaia
+---
+
+# WTF Series for understanding Scala
+##### 2018. 05. 26
+###### Sangwon Lee
+
+---
+
+### 동기
+
+Scala를 쓰면서 허들(hurdle)로 느껴졌던 부분을 정리해둬서 다음에 다시 찾아보거나 새로 배우시는 분들께 참고가 되었으면 함.
+
+---
+
+### 자주 찾는 문서
+
+* History(Origin)
+https://www.artima.com/scalazine/articles/origins_of_scala.html
+
+* Tutorial
+https://docs.scala-lang.org/tutorials/tour/basics.html.html
+
+* Code Conventions
+https://docs.scala-lang.org/style/
+https://github.com/databricks/scala-style-guide
+
+* Online Playground
+https://scalafiddle.io/
+
+* Monoid, Monads, Functors
+https://engineering.sharethrough.com/blog/2016/04/18/explaining-monads-part-1/
+
+---
+
+# WTF - Code Block with `{}`
+
+보통 여러줄의 코드를 `{}`로 묶어 코드블록이라고 하는건 맞는데, 스칼라에서는 이 블록을 어딘가에 assign 한다거나 함수의 파라미터로 넘기는 등, 좀 더 `first class` 대접을 해준다는 느낌.
+
+---
+
+###### 함수 body 로써의 코드블록
+
+```scala
+def sayHello: String = "hello"
+def sayHello: String = {
+ val greeting = "hello"
+ greeting // <- the last line evaluated is
+ // the result of a code block.
+}
+```
+
+###### 변수로써 코드블록
+
+```scala
+val codeBlock = {
+ println("tick")
+ 5
+}
+println("tack") // output:
+val evaluated = codeBlock // tick
+ // tack
+println("tock") // tock
+println(evaluated) // 5
+```
+
+---
+
+###### 함수 parameter로써 코드블록
+
+```scala
+def printArea(l: Int, area: Int => Unit): Unit = {
+ area(l)
+}
+
+printArea(10, { l =>
+ println(s"square area: ${l * l}")
+})
+
+printArea(10, { l =>
+ println(s"triangle area: ${l * l / 2}")
+})
+
+printArea(10, { l =>
+ import scala.math.Pi
+ println(s"circle area: ${l * l * Pi}")
+})
+```
+
+---
+
+###### `()` vs `{}` 중에 어떤거?
+
+```scala
+val l = List(1, 2, 3, 4, 5)
+
+println(l.map(l => l * 2))
+// List(2, 4, 6, 8, 10)
+
+println(l.map(_ * 2))
+// List(2, 4, 6, 8, 10)
+
+println(l.map { l => println(l); l * 2 })
+// List(2, 4, 6, 8, 10)
+
+println(l.map(l => println(l); l * 2))
+// error: ')' expected but ';' found.
+
+println(l.map({ l => l * 2 }))
+// List(2, 4, 6, 8, 10)
+```
+
+---
+
+# WTF - Currying
+
+함수를 first class 로 다루는 언어에서 종종 사용하는 기법 중 하나.
+
+다중 파라미터들을 한번의 함수콜로 그냥 쓸 수도 있지만, 파라미터들을 특성에 맞게 그룹핑을 하고 함수콜도 그에 맞춰 여러 단계로 콜할때 사용할 수 있게 해주는 기능.
+
+---
+
+###### Javascript 로 예를 들자면,
+
+```javascript
+function add (a) {
+ return function (b) {
+ return a + b;
+ }
+}
+
+add(3)(4); // 이렇게 해도 되고
+
+var add3 = add(3); // 보통은 요렇게..
+add3(4); // 7
+```
+
+---
+
+###### Scala 에서는 문법적으로 지원,
+
+```scala
+def add(a: Int)(b: Int): Int = {
+ a + b
+}
+
+val add3: Int => Int = add(3)
+
+println(add3(4)) // 7
+
+```
+
+---
+
+# WTF - `Nothing` vs `Null`
+
+타입하면 이 그림. 타입은 크게 `Any`를 기반으로 value(primitive) 타입인 `AnyVal`과 reference 타입인 `AnyRef`로 나뉘고, `AnyRef`같은 경우는 `Null` 을 subtype 으로 가지며 이를 포함한 모든 타입의 subtype 으로는 `Nothing` 이 있음. 그런데...
+
+
+
+---
+
+###### Null 은 어디서 쓴다는 말인가?
+
+
+```scala
+null.isInstanceOf[List[Int]] // true
+null.isInstanceOf[Seq[String]] // true
+null.isInstanceOf[Any] // true
+null.isInstanceOf[AnyRef] // true
+null.isInstanceOf[AnyVal] // error
+
+val nullList: List[Int] = null // ok
+val nullMap: Map[String, String] = null // ok
+val someInt: Int = null // error
+```
+
+---
+
+###### Nothing 은 어디서 쓴다는 말인가?
+
+```scala
+// There's the only case of using Nothing type
+// as return type of a function that must not return
+// due to throwing exception of termination signal..
+
+def mustNotReturnBut: Nothing = {
+ 10
+}
+// error: type mismatch;
+// found : scala.this.Int(10)
+// required: scala.this.Nothing
+
+def mustNotReturnSo: Nothing = {
+ throw new Exception("it can not react at the end")
+}
+// ok
+```
+
+---
+
+# WTF - Call by value vs name
+
+
+```scala
+// call-by-value
+// 함수가 수행되기 전에 파라미터가 먼저 평가됨.
+def first(a: Int, b: Int): Int = a
+first(3 + 4, 5 + 6)
+// 1. first(7, 5 + 6)
+// 2. first(7, 11)
+// 3. 7
+
+// call-by-name
+// 파라미터 평가되지 않은 상태로 함수에 그대로 전해진 후
+// 함수가 평가될때 대체됨.
+def first1(a: => Int, b: Int): Int = a
+first1(3 + 4, 5 + 6)
+// 1. (3 + 4)
+// 2. 7
+```
+
+---
+
+```scala
+def something(): Unit = {
+ println("calling something")
+ 1 // return value
+}
+
+def callByValue(x: Int): Unit = {
+ println("x1=" + x); println("x2=" + x)
+}
+
+def callByName(x: => Int): Unit = {
+ println("x1=" + x); println("x2=" + x)
+}
+
+scala> callByValue(something())
+calling something
+x1=1
+x2=1
+
+scala> callByName(something())
+calling something
+x1=1
+calling something
+x2=1
+```
+
+---
+
+# WTF - Where is class `constructor`
+
+Scala 에서 처음 `class` 를 접했을때 생성자가 어디갔지? instantiation 할때 어떤 인자를 넘기지? 라고 당황했었음. 그러나 결국 그 우아함에 굴복, 그 편리함의 노예가 됨.
+
+아래 예제가 scala 가 추구하는 철학을 보여준다고 생각함. 저 코드에서 무엇을 더 뺄 수 있을까. 더이상 뺄 것이 없는 완벽히 간결한 **Simplicity!**
+
+```scala
+class User
+
+val 군더더기가_있다면_그것은_나의_몫 = new User // 이거 됨.
+```
+
+---
+
+###### 일단 기본 생성자 (및 멤버변수)
+
+```scala
+class Point(var x: Int, var y: Int) {
+ val z = 4 // x, y, z 모두 멤버 변수
+ override def toString: String = s"($x, $y, $z)"
+}
+
+val pt = new Point(2, 3)
+println(pt.x) // 2
+println(pt.z) // 4
+
+pt.x = 20 // ok
+pt.y = 30 // ok
+pt.z = 40 // error (not allow to set for `val`)
+
+println(pt) // (20, 30, 4)
+```
+
+---
+
+###### 멤버 변수 접근 제어
+
+```scala
+class Point(x: Int, val y: Int) {
+ private var z = 4 // body에 정의한 멤버는 private 접근자로
+ override def toString: String = s"($x, $y, $z)"
+}
+
+val pt = new Point(2, 3)
+println(pt.x) // error (x is private by default)
+println(pt.z) // error (z is explictly private)
+pt.z = 40 // error (z is `var` but not visible)
+
+println(pt.y) // 3 (ok to access `val`)
+pt.y = 30 // error (can't set for `val`)
+
+println(pt) // (2, 3, 4)
+```
+
+---
+
+###### 생성자 오버라이딩
+
+```scala
+class Foo(x: Int, y: Int, z: String) {
+ // default y parameter to 0
+ def this(x: Int, z: String) = this(x, 0, z)
+
+ // default x & y parameters to 0
+ // calls previous auxiliary constructor
+ // which calls the primary constructor
+ def this(z: String) = this(0, z);
+}
+```
+
+---
+
+# WTF - `case class`
+
+`class` 가 있는데 이건 왜 또? `class` 가 클래스라는 역할을 충실히 하고 있다면, 이것은 immutable 한 데이터의 모델링에 최적화하기 위해 `class` 에 약간의 양념을 쳤달까? 다음과 같은 MSG..
+
+- case class (constructor)의 paremter가 기본으로 public & val
+- parameter 가 val 라서 reassign 못함 (immutable)
+- 내부적으로 `apply` 메소드가 있어서 이녀석이 object 생성을 담당하기 때문에 `new` 키워드를 안써도 됨
+- 컴파일러가 comparison 을 지원함
+- copy도 지원함
+- pattern matching 의 case 에 타입 식별로 쓸 수 있음 (그래서 `case`?)
+
+---
+
+###### 정의
+
+```scala
+case class Message(
+ sender: String, // public val
+ recipient: String, // by default
+ body: String
+)
+
+val msg = Message( // no need `new` keyword
+ "abc@def.com",
+ "xyz@vuw.com",
+ "Hi, there?"
+)
+
+println(msg.sender)
+// abc@def.com
+```
+
+---
+
+###### Comparison & Copy
+
+```scala
+case class Message(recipient: String, body: String)
+
+val msg1 = Message("abc@def.com", "Hi, there?")
+val msg2 = Message("abc@def.com", "Hi, there!")
+
+println(msg1 == msg2)
+// false
+
+val msg3 = msg2.copy(body = "Hi, there?")
+println(msg1 == msg3)
+// true
+```
+
+---
+
+###### Pattern Matching
+
+```scala
+trait Animal
+case class Dog(name: String, age: Int) extends Animal
+case class Cat(name: String) extends Animal
+case object Woodpecker extends Animal
+
+def determineType(x: Animal): String = x match {
+ case Dog(moniker, age) =>
+ s"Got a Dog, name = $moniker and age = $age"
+ case _: Cat => "Got a Cat (ignoring the name)"
+ case Woodpecker => "That was a Woodpecker"
+ case _ => "That was something else"
+}
+
+println(determineType(new Dog("Rocky", 10)))
+println(determineType(new Cat("Rusty the Cat")))
+println(determineType(Woodpecker))
+```
+
+---
+
+
+# WTF - `trait` vs `abstract class`
+
+여기저기 찾아보면 `trait` 은 java의 `interface` 와 비슷한거라고 많이 비교하는데 method body 를 구현할 수 있는거 보면 완전히 같은 개념은 아닌 것 같고 또 `abstract class` 도 별도로 있는데 어떻게 구분하면 좋을까?
+
+---
+
+| features | `trait` | `abstract class` |
+| ------------------------ |:-----------------------:| --------------------------------------:|
+| parameter | type parameter only | constructor parameter + type parameter |
+| interoperate with Java | Yes with pure methods | Always Yes |
+| inheritance | multiple | only one |
+| as mixins | Yes with implementation | No |
+
+---
+
+# WTF - Companion Object
+
+scala 에서 `object` 는 보통 `lazy val` 되는 singleton class instance 로 많이 쓰는데 특정 `class` 와 동일한 이름의 `object` 를 정의하면 해당 클래스와 짝궁(pair)이 되는데 이를 `companion object` 라고 함. 이를 이용하면 해당 클래스의 factory 처럼 쓸 수 있음.
+
+---
+
+###### Like a class factory
+
+```scala
+class Email(val username: String, val domain: String)
+
+object Email {
+ def fromString(email: String): Email = {
+ val s = email.split("@")
+ new Email(s.head, s.last)
+ }
+
+ def apply(email: String): Email = fromString(email)
+}
+
+val e1 = Email.fromString("abc@xyz.com")
+println(e1.username)
+println(e1.domain)
+
+val e2 = Email("abc@xyz.com")
+println(e2.username)
+println(e2.domain)
+```
+
+---
+
+# WTF - Pattern Matching
+
+이게 또.. scala 의 진미 중 하나. `switch-case` 의 진화의 끝이랄까. 이 패턴매칭의 매칭은 크게 네가지 종류가 있음.
+
+- 값으로 Matching
+- `case class` 로 Matching
+- Pattern Guard (simple boolean expression) 로 Matching
+- Type 으로 Matching
+
+---
+
+###### Matching by value
+
+```scala
+import scala.util.Random
+
+val numName: String = Random.nextInt(10) match {
+ case 0 => "zero"
+ case 1 => "one"
+ case 2 => "two"
+ case _ => "many"
+}
+
+println(numName)
+// many (for my case..)
+```
+
+---
+
+###### Matching by `case class`
+
+```scala
+abstract class Noti
+case class Msg(title: String, body: String) extends Noti
+case class SMS(caller: String, body: String) extends Noti
+case class VoiceRecording(link: String) extends Noti
+
+def showNoti(noti: Noti): String = {
+ noti match {
+ case Msg(title, _) =>
+ s"You got an message with title: $title"
+ case SMS(number, message) =>
+ s"You got an SMS from $number! Message: $message"
+ case VoiceRecording(link) =>
+ s"Got a voice, click the link to hear it: $link"
+ }
+}
+
+println(showNoti(Msg("제목", "바디")))
+// You got an message with title: 제목
+println(showNoti(SMS("번호", "바디")))
+// You got an SMS from 번호! Message: 바디
+println(showNoti(VoiceRecording("링크")))
+// Got a voice, click the link to hear it: 링크
+```
+
+---
+
+###### Matching by pattern guard
+
+```scala
+import scala.util.Random
+
+Random.nextInt(10) match {
+ case a if 0 to 9 contains a =>
+ println("0-9 range: " + a)
+ case b if 10 to 19 contains b =>
+ println("10-19 range: " + b)
+ case c if 20 to 29 contains c =>
+ println("20-29 range: " + c)
+ case _ =>
+ println("Hmmm...")
+}
+// 0-9 range: 3 (for my case)
+```
+
+---
+
+###### Matching by type
+
+```scala
+abstract class Device
+case class Phone(model: String) extends Device {
+ def screenOff = "Turning screen off"
+}
+
+case class Computer(model: String) extends Device {
+ def screenSaverOn = "Turning screen saver on..."
+}
+
+def goIdle(device: Device) = device match {
+ case p: Phone => p.screenOff
+ case c: Computer => c.screenSaverOn
+}
+
+println(goIdle(Phone("iphone6s")))
+// Turning screen off
+
+println(goIdle(Computer("macbook")))
+// Turning screen saver on...
+```
+
+---
+
+# WTF `FuctionN`, `TupleN`
+
+scala 에서 종종 쓰게 되는 구문 중에 익명 함수 혹은 튜플이 있는데, 이들은 scala 내부에서 어떻게 지원되고 있는걸까?
+
+- Anonymous Function
+ ```scala
+ val quickSum = (a: Int, b: Int) => a + b
+ println(quickSum(1, 2)) // 3
+ ```
+- Tuple
+ ```scala
+ val tuple = (1, 2, 3)
+ println(tuple) // (1, 2, 3)
+ ```
+
+---
+
+###### Function Type
+
+```scala
+val quickSum = (a: Int, b: Int) => a + b
+
+// 익명 함수를 아래처럼 FunctionN 을 이용해 명시적으로 정의할 수 있음.
+// Function0 ~ Function22 까지 미리 정의되어 있고,
+// type parameter 에서 마지막이 return type 나머지는 함수 인자.
+val quickSum2 = new Function2[Int, Int, Int] {
+ def apply(a: Int, b: Int): Int = a + b
+}
+
+assert(quickSum(1, 2) == quickSum2(1, 2)) // ok
+```
+
+---
+
+###### Tuple Type (Tuple1 ~ Tuple22)
+
+```scala
+val tuple = (1, 2, 3)
+println(tuple)
+// (1, 2, 3)
+
+val tuple2 = Tuple3[Int, Int, Int](1, 2, 3)
+println(tuple2._1, tuple2._3)
+// (1, 3)
+
+val tuple3 = Tuple3(1, 2, 3)
+println(tuple3)
+// (1, 2, 3)
+
+val tuple4 = Tuple4(1, 2, 3) // error
+println(tuple4)
+
+val tuple5 = Tuple3[Int, Int, Int](1, "two", 3) // error
+println(tuple3)
+```
+
+---
+
+# WTF - `Option`, `Either` and `Try`
+
+처음에는 어색했지만 정말 훌륭한 아이디어라는 생각이드는 feature. 변수라는건 보통 특정 값을 가지고 있기는 하지만 종종 `어떤 값도 정해지지 않는 상태` 를 표현하고 싶을때도 있다. 그래서 reference type 의 경우에는 그런 상태를 `null` 이라는 값으로 이용하기도 하죠. 그러나 primitive type, 가령 integer 일 경우에는 `0` 으로 그 상태를 표현할 수 있을까?
+
+scala 에서는 실제 값 외에 이런 상태들을 함께 표현할 수 있는 wrapper 클래스를 builtin 으로 제공합니다.
+
+- `Option[T]` - 특정 값이 있거나 없는 상태 `Some(T타입값)` or `None`
+- `Either[L, R]` - `Left(L타입값)` or `Right(R타입값)`
+- `Try[T]` - `Success(T타입값)` or `Failure(T타입값)`
+
+---
+
+###### Option Usage
+
+```scala
+def toInt(s: String): Option[Int] = {
+ try {
+ Some(Integer.parseInt(s.trim))
+ } catch {
+ case e: Exception => None
+ }
+}
+
+val x1 = toInt("1") // Some(1)
+x1.isEmpty // false
+val x2 = toInt("1").getOrElse(0) // 1
+val x3 = toInt("foo") // None
+val x4 = toInt("foo").getOrElse(0) // 0
+
+toInt("10").foreach{ i => println(s"Got an int: $i") }
+// Got an int: 10
+
+toInt("10") match {
+ case Some(i) => println(i)
+ case None => println("That didn't work.")
+}
+// 10
+```
+
+---
+
+###### Either Usage
+
+```scala
+def divideXByY(x: Int, y: Int): Either[String, Int] = {
+ if (y == 0) Left("Dude, can't divide by 0")
+ else Right(x / y)
+}
+
+val x1 = divideXByY(1, 1).right.getOrElse(0) // 1
+val x2 = divideXByY(1, 1).left.get // error
+val x3 = divideXByY(1, 0).right.getOrElse(0) // 0
+val x4 = divideXByY(1, 0).left.get
+println(x4)
+// Dude, can't divide by 0
+
+divideXByY(1, 0) match {
+ case Left(s) => println("Answer: " + s)
+ case Right(i) => println("Answer: " + i)
+}
+// Answer: Dude, can't divide by 0
+```
+
+
+---
+
+###### Try Usage
+
+```scala
+// Introduced from scala 2.10
+// Try[T] is convenient version of Either[Throwable, T]
+
+import scala.util.Try
+
+def toInt(s: String): Try[Int] = {
+ Try(Integer.parseInt(s.trim))
+}
+
+val x = toInt("1") // Success(1)
+x.isSuccess // true
+x.isFailure // false
+toInt("1").getOrElse(0) // 1
+toInt("one") // Failure(java.lang.NumberFormatException: For input string: "one")
+toInt("one").getOrElse(0) // 0
+
+toInt("1") match {
+ case Success(i) => println(i) // 1
+ case Failure(e) => println(e)
+}
+```
+
+---
+
+# WTF - Implicit Parameters
+
+종종 순차적으로 혹은 중첩되어 호출되는 함수에 계속 따라다니는 파라미터를 넘기게되는 경우가 있다. 이런 군더더기 같은 파라미터들을 scala 에서는 `implicit` 로 풀었다. 하지만 가독성을 위해 너무 남발하면 No No.
+
+```scala
+def nestedProc()(implicit sw: StopWatch): Unit = {
+ ...
+}
+
+def proc(key: String)(implicit sw: StopWatch): Unit = {
+ sw.tap
+ ...
+ nestedProcess()
+ ...
+}
+
+implicit val sw = new StopWatch
+
+proc("job-id-123")
+// 이 스코프에서 해당 타입의 implicit 변수를 lookup, 없으면 error.
+```
+
+---
+
+# WTF - Implicit Conversions
+
+이 부분도 scala 의 꽃 중의 하나다. 강타입 언어임에도 불구하고 얼마나 간결한 언어를 만들고 싶어하는지의 철학을 엿볼 수 있는 부분. 어떤 타입에서 다른 타입의 값으로 변환할때 종종 이런 코드를 쓴다.
+
+```scala
+case class Person(name: String, tall: Int)
+case class Fly(name: String, tall: Int)
+
+object Fly {
+ def fromPerson(p: Person): Fly = {
+ Fly(s"fly-${p.name}", p.tall / 10)
+ }
+}
+
+val p = Person("eddy", 190)
+val f = Fly.fromPerson(p)
+println(f) // Fly(fly-eddy,19)
+```
+
+---
+
+###### 하지만 이건 어떠한가?
+
+```scala
+case class Person(name: String, tall: Int)
+case class Fly(name: String, tall: Int)
+
+implicit def personToFly(p: Person): Fly = {
+ Fly(s"fly-${p.name}", p.tall / 10)
+}
+
+val p = Person("eddy", 190)
+val f: Fly = p // 이보다 더 간결할 수 있는가!
+ // Person -> Fly 로 변환하는 implict
+ // 함수가 있는지 lookup, 없으면 error.
+
+assert(f.name == "fly-eddy")
+assert(f.tall == 19)
+```
+
+---
+
+# WTF - Future
+
+...
+
+---