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2 .About Me
前 USTC LUG 活跃成员
GNU TeXmacs Contributor
挖财数据研发工程师
@sadhen on Github
3 .About the Topic
1. Scala 是啥 ？
2. Scala 有哪些应用场景 ？
3. 如何学习 Scala ?
5 .Scala/ScalaJS/Scala Native
Scala combines object‑oriented and functional programming in one
concise, high‑level language.
Scala's static types help avoid bugs in complex applications, and its
JVM and JavaScript runtimes let you build high‑performance systems
with easy access to huge ecosystems of libraries.
6 .Real World Scala on JVM
Martin Odersky (EPFL) 瑞士洛桑理工:
Generic Java (1998)
first public Scala release (2004)
Typesafe (2011)
2.11.0 (2014)
Lightbend (2016)
2.12.0 (2016)
2.12.7 (Today?)
8 .Apache Spark
RDD (Resilient distributed dataset)
《High Performance Spark》
9 .Scala in Spark Core
RDD: Scala Collection (Lazy)
10 .Scala Collection: Immutability
scala> 1 :: 2 :: 3 :: Nil
res0: List[Int] = List(1, 2, 3)
(1 (2 (3)))
(car (1 (2 (3)))) => 1
(cdr (1 (2 (3)))) => (2 (3))
11 .Scala Collection: Parallelism
scala> (1 to 4).par.foreach(println)
2
1
4
3
12 .Scala Collection: Lazyness
1. the magic lazy keyword
2. Stream (SICP)
scala> def generate(starting: Int): Stream[Int] = {
| starting #:: generate(starting + 1)
| }
generate: (starting: Int)Stream[Int]
scala> println(generate(25))
Stream(25, ?)
scala> println(generate(25).take(10).force)
Stream(25, 26, 27, 28, 29, 30, 31, 32, 33, 34)
scala> println(generate(25)
.filter(_ % 2 == 0)
.take(10)
.toList
)
List(26, 28, 30, 32, 34, 36, 38, 40, 42, 44)
15 .Scala in Spark SQL
SQL: Pattern Matching
连城’s Talk at QCon Beijing 2015
https://github.com/liancheng/brainsuck
case class Apple()
case class Orange()
case class Book()
object ThingsAcceptor {
def acceptStuff(thing: Any): Unit = {
thing match {
case Apple() ⇒ println("Thanks for the Apple")
case Orange() ⇒ println("Thanks for the Orange")
case Book() ⇒ println("Thanks for the Book")
case _ ⇒
println(s"Excuse me, why did you send me $thing")
}
}
}
16 .Akka
Actor
Cluster
Persistent
...
17 .Akka Actor
Actor是一种并发模型，但是Akka本质上是用Java的线程实现的。
18 .import akka.actor._
class HollywoodActor() extends Actor {
def receive: Receive = {
case message ⇒
println(s"playing the role of $message")
}
}
object CreateActors extends App {
val system = ActorSystem("sample")
val depp = system.actorOf(Props[HollywoodActor])
depp ! "Wonka"
val terminateFuture = system.terminate()
Await.ready(terminateFuture, Duration.Inf)
}
19 .case object Ping
case object Pong
class Pinger extends Actor {
var countDown = 100
def receive = {
case Pong ⇒
println(s"${self.path} received pong," +
s" count down $countDown")
if (countDown > 0) {
countDown -= 1
sender() ! Ping
} else {
sender() ! PoisonPill
self ! PoisonPill
}
}
}
20 .class Ponger(pinger: ActorRef) extends Actor {
def receive = {
case Ping ⇒
println(s"${self.path} received ping")
pinger ! Pong
}
}
val system = ActorSystem("pingpong")
val pinger = system.actorOf(Props[Pinger], "pinger")
val ponger = system.actorOf(Props(classOf[Ponger], pinger),
import system.dispatcher
system.scheduler.scheduleOnce(500 millis) {
ponger ! Ping
}
21 .Akka Cluster
Seed Node
Fault Tolerance
...
让分布式系统触手可及!!!
22 .Others
Apache Kafka (Linkedin) 消息队列
Apache Flink (Alibaba Blink) 流式计算
Angel (腾讯） 机器学习
TransgorifyAI (AutoML)
Chisel (FPGA) 硬件
24 .推荐阅读
《Scala实用指南》(淘宝何品 Akka/Netty Contributor 译)
《Scala集合技术手册》(校友晁岳攀 原创)
《高性能Scala》(Thoughtworks 杨云 译)
《Spark Internals》 (中科院 Lijie Xu)
《Netty实战》 (何品 译)
《反应式设计模式》(何品、王石冲、邱嘉和 译, 未上市)
《Spark SQL内核剖析》 (腾讯原创)
《设计数据密集型应用》(影印本)
《高性能Spark》(影印本)
加粗的是看过的。
26 .推荐Github
@Atry (Thoughtworks)
@hepin1989 (Taobao)
@lihaoyi (Dropbox)
27 .推荐课程
CSAPP
FOPL
GNU TeXmacs可以用来写作业，生成PDF。非常方便画二叉树、写
数学公式等等。
28 .函数式编程
《Haskell 趣学指南》
《Haskell 函数式编程入门》(第二版)
《Scala 函数式编程》
29 .参与开源社区
1. Github PR
2. GSOC
3. 相对严肃的项目会有邮件列表
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