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Types Working for You, Not Against You

The document presents an overview of a software development conference (QCon) and discusses the power of Scala's type system, including straightforward Scala types, functional programming, and type-level programming. It highlights key concepts such as algebraic data types, structural recursion, and the importance of maintainable code. The narrative emphasizes leveraging Scala's features to enhance code clarity and efficiency while addressing common challenges in programming.

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Types Working For You Richard Dallaway, @d6y underscore.io
InfoQ.com: News & Community Site • 750,000 unique visitors/month • Published in 4 languages (English, Chinese, Japanese and Brazilian Portuguese) • Post content from our QCon conferences • News 15-20 / week • Articles 3-4 / week • Presentations (videos) 12-15 / week • Interviews 2-3 / week • Books 1 / month Watch the video with slide synchronization on InfoQ.com! http://www.infoq.com/presentations /scala-patterns-types
Purpose of QCon - to empower software development by facilitating the spread of knowledge and innovation Strategy - practitioner-driven conference designed for YOU: influencers of change and innovation in your teams - speakers and topics driving the evolution and innovation - connecting and catalyzing the influencers and innovators Highlights - attended by more than 12,000 delegates since 2007 - held in 9 cities worldwide Presented at QCon London www.qconlondon.com
Modern type system with lots of power
Two Themes Straightforward Scala Types Working for Us
Progression Part 1 Straightforward Scala Part 2 Functional Programming Part 3 Typelevel Programming
Straightforward Scala — Part 1 —
The only problem was we had no idea what the code was doing at first. We came across a strange symbol we hadn’t seen in our projects before The spaceship operator <|*|> Someone said out loud “what the hell is that?” http://jimplush.com/talk/
The only problem was we had no idea what the code was doing at first. We came across a strange symbol we hadn’t seen in our projects before The spaceship operator <|*|> Someone said out loud “what the hell is that?” http://jimplush.com/talk/
The only problem was we had no idea what the code was doing at first. We came across a strange symbol we hadn’t seen in our projects before The spaceship operator <|*|> Someone said out loud “what the hell is that?” http://jimplush.com/talk/
The only problem was we had no idea what the code was doing at first. We came across a strange symbol we hadn’t seen in our projects before The spaceship operator <|*|> Someone said out loud “what the hell is that?” http://jimplush.com/talk/
“It’s about having a maintainable code base where you can have 
 people cross projects easily and get new hires up to speed rapidly”
Power! Protect the team from it and Get the benefit of it
What can we do?
1. Expressions, types, & values 2. Objects and classes 3. Algebraic data types 4. Structural recursion 5. Sequencing computation 6. Type classes
1. Expressions, types, & values 2. Objects and classes 3. Algebraic data types 4. Structural recursion 5. Sequencing computation 6. Type classes
Algebraic data types Structural recursion
Algebraic data types data into code Structural recursion transformation
Model data with logical ors and logical ands
A website visitor is: • anonymous; or • logged in
A logged in user has: • an ID; and • facts we know about them
Two Patterns and (product types) or (sum types) Sum and product together make algebraic data types
Structure of the code follows the structure of the data
A website visitor is: • anonymous; or • logged in
sealed trait Visitor case class Anonymous()
 extends Visitor case class User()
 extends Visitor
A logged in user has: • an ID; and • facts we know about them
 An anonymous has: • an ID
sealed trait Visitor case class Anonymous()
 extends Visitor case class User()
 extends Visitor
sealed trait Visitor case class Anonymous(id: Id)
 extends Visitor case class User(id: Id, facts: Set[Fact])
 extends Visitor
Structural recursion
def serveAd(v: Visitor): Advert = ???
Structure of the code follows the structure of the data
def serveAd(v: Visitor): Advert = ???
def serveAd(v: Visitor): Advert = v match { case User(_, info) => relevantAd(info) case Anonymous(id) => adRotation(id) }
def serveAd(v: Visitor): Advert = v match { case User(_, info) => relevantAd(info) case Anonymous(id) => adRotation(id) }
def serveAd(v: Visitor): Advert = v match { case User(_, info) => relevantAd(info) case Anonymous(id) => adRotation(id) } Structure
ADT & Structural Recursion Straightforward part of Scala. Clear, productive, occurs frequently. Be opinionated in what you use. Structure helps us.
Help from FP Ideas — Part 2 —
Combining lists Concatenating strings Union of sets Combining things in a loop Chaining logical operations Adding numbers Building up a JavaScript expression Showing errors in a UI ...
A combine function and an empty value
Addition Empty Combine 0 +
Set Empty Combine Set.empty union
For any T Empty Combine A zero for T A way to combine two Ts and give me back a T
A combine function and an empty value
Monoid A combine function and an empty value …and laws
The boss asks… What’s the total visits to the web site? def report(vs: List[Int]): Int = ???
For any T Empty Combine A zero for T A way to combine two Ts and give me back a T
For any T trait Monoid[T] { def empty: T def combine(x: T, y: T): T }
val addition = new Monoid[Int] { def empty = 0 def combine(x: Int, y: Int) = x+y }
fold
def fold(vs: List[Int]): Int = vs match { case Nil => 0 case v :: rest => v + fold(rest) } fold(List(1,2,3))
 // 6
fold(1,2,3) 1 + fold(2,3) 2 + fold(3) 3 + fold() 0 0 + 3 + 2 + 1 = 6
fold(1,2,3) 1 + fold(2,3) 2 + fold(3) 3 + fold() 0 0 + 3 + 2 + 1 = 6
fold(1,2,3) 1 + fold(2,3) 2 + fold(3) 3 + fold() 0 0 + 3 + 2 + 1 = 6
fold(1,2,3) 1 + fold(2,3) 2 + fold(3) 3 + fold() 0 0 + 3 + 2 + 1 = 6
fold(1,2,3) 1 + fold(2,3) 2 + fold(3) 3 + fold() 0 0 + 3 + 2 + 1 = 6
fold(1,2,3) 1 + fold(2,3) 2 + fold(3) 3 + fold() 0 0 + 3 + 2 + 1 = 6
def fold(vs: List[Int]): Int = vs match { case Nil => 0 case v :: rest => v + fold(rest) } fold(List(1,2,3))
 // 6
def fold(vs: List[Int], m: Monoid[Int]): Int = vs match { case Nil => 0 case v :: rest => v + fold(rest) } fold(List(1,2,3), addition)
 // 6
def fold(vs: List[Int], m: Monoid[Int]): Int = vs match { case Nil => m.empty case v :: rest => m.combine(v, fold(rest,m)) } fold(List(1,2,3), addition)
 // 6
def fold[T](vs: List[T], m: Monoid[T]): T = vs match { case Nil => m.empty case v :: rest => m.combine(v, fold(rest,m)) } fold(List(1,2,3), addition)
 // 6
Split on cases, inspect values you have
def fold[T](vs: List[T], m: Monoid[T]): T = vs match { case Nil => ??? case v :: rest => ??? } fold(List(1,2,3), addition)
 // 6
def fold[T](vs: List[T], m: Monoid[T]): T = vs match { case Nil => m.empty case v :: rest => ??? } fold(List(1,2,3), addition)
 // 6
But back to Monoids…
The boss asks… What’s the total visits to the web site? def report(vs: List[Int]): Int = fold(vs, addition)
Benefits Composition Flexibility Problem Solving
The boss asks… How many distinct visitors? def report(vs: List[Visitor]): Int = ???
Set Empty Combine Set.empty union
The boss says… Argh! 
 The servers are OutOfMemory
HyperLogLog Empty Combine new HLL() HLL.plus Armon Dadgar (Papers We Love, 2015)
 “Bloom Filters and HyperLogLog”
The boss asks… Who are the really keen 
 visitors to the site?
Count-Min Sketch Empty Combine new CMS() CMS.plus Laura Bledaite (Scala eXchange 2015) 
 “Count-Min Sketch in Real Data Applications”
We can safely run 
 a parallel version 
 of fold
Laws
a + 0 = a (a + b) + c = a + (b + c)
Identity & Associativity a combine empty = a (a combine b) combine c 
 = a combine (b combine c)
a combine b combine combine c d e f
Errors: 10 Warnings: 0
Its a monoid I know this
…so we fold
Summary Types and laws give us flexibility & help lead us to solutions. They help us every day.
A Taste of Typelevel — Part 3 —
Date Metric Mon Low Tue High csv( List(“Date”, “Metric”), List( List(“Mon”, “Low”), List(“Tue”, “High”) ) )
Date Mon Low Tue High csv( List(“Date”), List( List(“Mon”, “Low”), List(“Tue”, “High”) ) )
How can we prevent that error happening again?
def csv( hdrs: List[String], rows: List[List[String]] ): String = ???
def csv[N <: Nat]( hdrs: List[String], rows: List[List[String]] ): String = ??? import shapeless._ import syntax.sized._
def csv[N <: Nat]( hdrs: Sized[List[String], N], rows: List[Sized[List[String], N]] ): String = ??? import shapeless._ import syntax.sized._
csv( Sized(“Date”), List( Sized(“Mon”, “Low”), Sized(“Tue”, “High”) ) )
csv( Sized(“Date”), List( Sized(“Mon”, “Low”), Sized(“Tue”, “High”) ) ) Sized[List, 1] Sized[List, 2]
How? Sized(“Date”) constructs Sized[Nat] Nat implements numbers as types
sealed trait Nat trait Succ[P <: Nat] extends Nat trait Zero extends Nat
Zero 0 Succ[Zero] 1 Succ[Succ[Zero]] 2 Succ[Succ[Succ[Zero]]] 3
sealed trait Nat trait Succ[P <: Nat] extends Nat trait Zero extends Nat
sealed trait Nat trait Succ[P <: Nat] extends Nat trait Zero extends Nat type One = Succ[Zero] type Two = Succ[One] implicitly[Succ[Zero] =:= One] implicitly[Succ[One] =:= Succ[Succ[Zero]]]
sealed trait Nat trait Succ[P <: Nat] extends Nat trait Zero extends Nat type One = Succ[Zero] type Two = Succ[One] implicitly[Succ[Zero] =:= One] implicitly[Succ[One] =:= Succ[Succ[Zero]]]
sealed trait Nat trait Succ[P <: Nat] extends Nat trait Zero extends Nat type One = Succ[Zero] type Two = Succ[One] implicitly[Succ[Zero] =:= One] implicitly[Succ[One] =:= Succ[Succ[Zero]]]
sealed trait Nat trait Succ[P <: Nat] extends Nat trait Zero extends Nat type One = Succ[Zero] type Two = Succ[One] implicitly[Succ[Zero] =:= Two] error: Cannot prove that Succ[Zero] =:= Two.
Merging Fields
case class User(
 id : Long,
 name : String,
 email : Option[String]) val user = User(
 123L, 
 “Bruce Wayne”,
 Some(“bruce@example.org”))
PATCH /user/123 {
 “name” : “Batman”
 }
case class User(
 id : Long,
 name : String,
 email : Option[String]) case class Update(
 name : Option[String],
 email : Option[Option[String]])
val user = User(
 123L, 
 “Bruce Wayne”,
 Some(“bruce@example.org”)) val update = Update( 
 Some(“Batman”), 
 None) How do we get to… User(
 123L, 
 “Batman”, 
 Some(“bruce@example.org”))
Bulletin https://github.com/davegurnell/bulletin
How? User String Option[String] … Option[String] Option[
 Option[String] ] …Update
How? User String Option[String] … Option[String] Option[
 Option[String] ] …Update Head
How? User String Option[String] … Option[String] Option[
 Option[String] ] …Update Head The Rest…
How? Type constraints Implicit methods HLists Labelled generic Macros …
val user = User(
 123L, 
 "Bruce Wayne”,
 Some(“bruce@example.org”)) val update = Update( 
 Some(“Batman”), 
 None) import bulletin._ val updated = user.merge(update) // User(
 // 123L, 
 // “Batman”, 
 // Some(“bruce@example.org”))
val user = User(
 123L, 
 "Bruce Wayne”,
 Some(“bruce@example.org”)) val update = Update( 
 Some(“Batman”), 
 None) import bulletin._ val updated = user.merge(update) // User(
 // 123L, 
 // “Batman”, 
 // Some(“bruce@example.org”))
Summary The compiler can help (maybe more than you thought). Reduce boilerplate code.
Using Power Tools Can go one of two ways…
Using Power Tools Can go one of two ways… What the hell is that? It’s a monoid!
 I know this
Simple Types Power Share
2008 ‘The name Scala stands for “scalable language.”
 
 The language is so named because it was designed to grow with the demands of its users.’
What have we seen? Some straightforward parts of Scala
 —Clear, maintainable, helpful Encoding ideas in types
 —flexibility, leads us to solutions
 
 Let the compiler do it 
 —when it make sense for your demands
Summary Scala scaling with your needs
 —be opinionated in what you use, more when needed Types working for us, not stopping us
 —functional programming, share what you learn
Thanks! Richard Dallaway, @d6y underscore.io
Thanks! Richard Dallaway, @d6y underscore.io Amanda Laucher Wesley Reisz Noel Welsh Dave Gurnell Miles Sabin Jono Ferguson Julio Capote Alessandro Zoffoli
Watch the video with slide synchronization on InfoQ.com! http://www.infoq.com/presentations/scala- patterns-types

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Types Working for You, Not Against You