SlideShare a Scribd company logo
ZIO Queue John A. De Goes — @jdegoes - http://degoes.net ScalaWave 2018
ZIO Queue
ScalaWave 2018 - Gdańsk, Poland
John A. De Goes
@jdegoes - http://degoes.net
What is ZIO?
Powered by Queues
Troubled Queues
Introducing ZIO Queue
Wrap Up
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
ZIO
ZIO lets you build
high-performance, type-safe,
concurrent, asynchronous
applications that don’t leak
resources or deadlock, and are
easy to reason about
compositionally, test, and refactor.
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
github.com/scalaz/scalaz-zio
ZIO
def main: Unit = {
println("Hello, what is your name?")
val name = readLine()
println(s"Good morning, $name!")
}
Second-Class Effects
✗ Pass to functions
✗ Return from functions
✗ Store in data structures
✗ Async/sync/concurrency
✓ Resource-safety
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
def main: IO[IOException, Unit] = for {
_ <- putStrLn("Hello, what is your name?")
name <- getStrLn
_ <- putStrLn(s"Good morning, $name!")
} yield ()
First-Class Effects
✓ Pass to functions
✓ Return from functions
✓ Store in data structures
✓ Async/sync/concurrency
✓ Resource-safety
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
IO[E, A]
IO[E, A] is an immutable value that
describes an effectful computation,
which may fail with a value of type E, or
compute a value of type A.
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
def runInParallel[E, A, B](
leftIO : IO[E, A],
rightIO: IO[E, B]): IO[E, (A, B)] =
for {
leftFiber <- leftIO.fork
rightFiber <- rightIO.fork
a <- leftFiber.join
b <- rightFiber.join
} yield (a, b)
Fork/Join Concurrency with Fibers
✓ Massive scalability over threads
✓ Non-blocking
✓ Automatically interruptible
✓ Always resource-safe
✓ Powerful composition
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Powered by Queues
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Producer Consumer
offer take
Queue
1-to-1
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Producer
Consumer
offer take
Queue
Producer
n-to-1
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Producer
Consumer
offer take
Queue
Consumer
1-to-m
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Consumer
offer take
Queue
Consumer
Producer
Producer
n-to-m
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
FIFO
LIFO
PRIO
Bounded
Unbounded
Dropping
Sliding
dimensions of variation
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
queue
actors
send
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
concurrent graph search
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
resource sharing
scarce resource
e.g. threads
Thread 1
take Thread 2offer
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
loose coupling
offer
take
Fast Producers
Slow Consumers
buffer
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Troubled Queues
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
java.util.concurrent.BlockingQueue
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
java.util.concurrent.BlockingQueue
trait BlockingQueue[A] {
def take: A
def offer(a: A): Boolean
}
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
java.util.concurrent.BlockingQueue
Blocks one thread
until element added
trait BlockingQueue[A] {
def take: A
def offer(a: A): Boolean
}
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
java.util.concurrent.BlockingQueue
Fast Producer Slow Consumer
offer take
Queue
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
java.util.concurrent.BlockingQueue
Fast Producer Slow Consumer
offer
take
Queue
manual
backpressure
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
java.util.concurrent.BlockingQueue
def fastProducer = {
if (!queue.offer(a)) {
// Slow down!!!
} else {
// Keep producing...
}
}
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
java.util.concurrent.BlockingQueue
Fast Producer Slow Consumer
offer
take
Queue
manual
backpressure
manual
backpressure
take
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
java.util.concurrent.ConcurrentLinkedQueue
trait ConcurrentLinkedQueue[A] {
def poll: A
def offer(a: A): Boolean
}
Returns null if empty
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
java.util.concurrent.ConcurrentLinkedQueue
Fast Producer Slow Consumer
offer poll
Queue
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
github.com/scalaz/scalaz-zio
ZIO QUEUE
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
ZIO Queue
trait Queue[A] {
def take: IO[Nothing, A]
def offer(a: A): IO[Nothing, Unit]
def shutdown(ts: Throwable*): IO[Nothing, Unit]
}
object Queue {
def bounded[A](capacity: Int): IO[Nothing, Queue[A]] = ???
def unbounded[A]: IO[Nothing, Queue[A]] = ???
}
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Example
for {
queue <- Queue.unbounded[String]
_ <- queue.offer("Give me Coffee!").forever.fork
_ <- queue.take.flatMap(putStrLn).forever
} yield ()
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
5. Concurrent
Consumer
offer take
Queue
Consumer
Producer
Producer
ZIO
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
4. Interruptible
for {
queue <- Queue.unbounded[String]
fiber <- queue.offer("Give me Coffee!").forever.fork
_ <- fiber.interrupt
} yield ()
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
3. Clean Shutdown
for {
queue <- Queue.unbounded[String]
fiber1 <- queue.offer("Give me Coffee!").forever.fork
fiber2 <- queue.take.forever.fork
_ <- queue.shutdown
} yield ()
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
2. Asynchronous
for {
queue <- Queue.unbounded[String]
worker = queue.take.flatMap(putStrLn).forever
workers10k = List.fill(10000)(worker)
_ <- IO.forkAll(workers10k)
_ <- queue.offer("More Coffee!").forever.fork
} yield ()
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
2. Asynchronous
trait BlockingQueue[A] {
def take: A ;
def offer(a: A): Boolean
}
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
1. Composable Backpressure
for {
queue <- Queue.bounded[String](10)
worker = queue.offer("Coffee").forever
workers10k = List.fill(10000)(worker)
_ <- IO.forkAll(workers10k)
_ <- queue.take.flatMap(putStrLn).forever.fork
} yield ()
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
case class Actor[+E, -A, +B](run: A => IO[E, B]) { self =>
def ! (a: A): IO[E, B] = run(a)
}
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]):
IO[Nothing, Actor[E, A, B]] =
for {
state <- Ref(s)
queue <- Queue.bounded[(A, Promise[E, B])](QueueSize)
fiber <- (for {
t <- queue.take
s <- state.get
(a, promise) = t
receiver = receive(s, a)
completer = (s: S, b: B) =>
state.set(s) *> promise.complete(b)
_ <- receiver.redeem(
e => supervise(receiver, e)
.redeem(promise.error, completer), completer)
} yield ()).forever.fork
} yield Actor[E, A, B]((a: A) =>
Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Application: Scalaz Actors
def makeCounter: IO[Nothing, Actor[Nothing, Int, Int]] =
makeActor(Supervisor.logDefects(Logging))(0) {
(state: Int, n: Int) =>
IO.now((state + n, state + n))
}
for {
counter <- makeCounter
_ <- counter ! 40
_ <- counter ! -2
v <- counter ! 0
} yield v
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
WRAP UP
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
github.com/scalaz/scalaz-zio
ZIO CFC
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
ZIO ROADMAP
Performance Sliding Dropping
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
https://gitter.im/scalaz/scalaz/
https://gitter.im/scalaz/scalaz-ioqueue/
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
Functional Scala by John A. De Goes
Local Remote Date
Scotland European Time Sep 10 - 14
Toronto East Coast Time Oct 1 - 5
? European Time Oct 22 - 26
SF / SV Pacific Coast Time Nov 18 -
22
What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
THANK YOU!
@jdegoes - http://degoes.net

More Related Content

PDF
ZIO-Direct - Functional Scala 2022
PPTX
Capabilities for Resources and Effects
PDF
One Monad to Rule Them All
PDF
The Functional Programming Triad of Map, Filter and Fold
PDF
Sequence and Traverse - Part 1
PPTX
Java 8 streams
PPTX
Inheritance In Java
PDF
Monoids - Part 1 - with examples using Scalaz and Cats
ZIO-Direct - Functional Scala 2022
Capabilities for Resources and Effects
One Monad to Rule Them All
The Functional Programming Triad of Map, Filter and Fold
Sequence and Traverse - Part 1
Java 8 streams
Inheritance In Java
Monoids - Part 1 - with examples using Scalaz and Cats

What's hot (20)

PDF
Algebraic Data Types for Data Oriented Programming - From Haskell and Scala t...
PDF
Traversals for all ocasions
PDF
Functional Domain Modeling - The ZIO 2 Way
PPTX
Functional programming with Java 8
PDF
Sequence and Traverse - Part 2
PPTX
Boost your productivity with Scala tooling!
PDF
Applicative Functor
PDF
Zio in real world
PDF
Scala 3 by Example - Algebraic Data Types for Domain Driven Design - Part 1
PDF
Java 8 Lambda Expressions
PDF
Exploring ZIO Prelude: The game changer for typeclasses in Scala
PPSX
OOP with Java - Part 3
PDF
Methods in Java
PPT
Java Collections Framework
ODP
Datatype in JavaScript
PPTX
Pure virtual function and abstract class
PDF
JPA and Hibernate
PPSX
Java &amp; advanced java
PDF
Embedding Generic Monadic Transformer into Scala. [Tfp2022]
PPT
sets and maps
Algebraic Data Types for Data Oriented Programming - From Haskell and Scala t...
Traversals for all ocasions
Functional Domain Modeling - The ZIO 2 Way
Functional programming with Java 8
Sequence and Traverse - Part 2
Boost your productivity with Scala tooling!
Applicative Functor
Zio in real world
Scala 3 by Example - Algebraic Data Types for Domain Driven Design - Part 1
Java 8 Lambda Expressions
Exploring ZIO Prelude: The game changer for typeclasses in Scala
OOP with Java - Part 3
Methods in Java
Java Collections Framework
Datatype in JavaScript
Pure virtual function and abstract class
JPA and Hibernate
Java &amp; advanced java
Embedding Generic Monadic Transformer into Scala. [Tfp2022]
sets and maps
Ad

Similar to ZIO Queue (20)

PDF
Fiber supervision in ZIO
PDF
ZIO Schedule: Conquering Flakiness & Recurrence with Pure Functional Programming
PDF
Introduction to ZIO Fibers
PDF
How to successfully manage a ZIO fiber’s lifecycle - Functional Scala 2021
PDF
PPTX
ZIO: Powerful and Principled Functional Programming in Scala
PDF
The Design of the Scalaz 8 Effect System
PDF
Reactive mistakes - ScalaDays Chicago 2017
PDF
Asynchronous IO in Rust - Enrico Risa - Codemotion Rome 2017
PDF
Barcamp PT
PDF
Reshaping Core Genomics Software Tools for the Manycore Era
PPTX
Job Queues Overview
PDF
Scalaz 8 vs Akka Actors
PDF
Communicating State Machines
PDF
Rust + io_uring + ktls: How Fast Can We Make HTTP?
PDF
Scalable io in java
PDF
Functional legacy - how to incorporate ZIO in your legacy services
PDF
ZIO actors by Mateusz Sokół Scalac
PDF
Zio from Home
PDF
Fiber supervision in ZIO
ZIO Schedule: Conquering Flakiness & Recurrence with Pure Functional Programming
Introduction to ZIO Fibers
How to successfully manage a ZIO fiber’s lifecycle - Functional Scala 2021
ZIO: Powerful and Principled Functional Programming in Scala
The Design of the Scalaz 8 Effect System
Reactive mistakes - ScalaDays Chicago 2017
Asynchronous IO in Rust - Enrico Risa - Codemotion Rome 2017
Barcamp PT
Reshaping Core Genomics Software Tools for the Manycore Era
Job Queues Overview
Scalaz 8 vs Akka Actors
Communicating State Machines
Rust + io_uring + ktls: How Fast Can We Make HTTP?
Scalable io in java
Functional legacy - how to incorporate ZIO in your legacy services
ZIO actors by Mateusz Sokół Scalac
Zio from Home
Ad

More from John De Goes (20)

PDF
Refactoring Functional Type Classes
PDF
Error Management: Future vs ZIO
PDF
Atomically { Delete Your Actors }
PDF
The Death of Final Tagless
PDF
Scalaz Stream: Rebirth
PDF
Scalaz Stream: Rebirth
PDF
Blazing Fast, Pure Effects without Monads — LambdaConf 2018
PDF
Scalaz 8: A Whole New Game
PDF
Orthogonal Functional Architecture
PDF
Quark: A Purely-Functional Scala DSL for Data Processing & Analytics
PDF
Post-Free: Life After Free Monads
PDF
Streams for (Co)Free!
PDF
MTL Versus Free
PDF
The Easy-Peasy-Lemon-Squeezy, Statically-Typed, Purely Functional Programming...
PDF
Halogen: Past, Present, and Future
PDF
All Aboard The Scala-to-PureScript Express!
PDF
Getting Started with PureScript
PPTX
SlamData - How MongoDB Is Powering a Revolution in Visual Analytics
PDF
The Next Great Functional Programming Language
PPTX
The Dark Side of NoSQL
Refactoring Functional Type Classes
Error Management: Future vs ZIO
Atomically { Delete Your Actors }
The Death of Final Tagless
Scalaz Stream: Rebirth
Scalaz Stream: Rebirth
Blazing Fast, Pure Effects without Monads — LambdaConf 2018
Scalaz 8: A Whole New Game
Orthogonal Functional Architecture
Quark: A Purely-Functional Scala DSL for Data Processing & Analytics
Post-Free: Life After Free Monads
Streams for (Co)Free!
MTL Versus Free
The Easy-Peasy-Lemon-Squeezy, Statically-Typed, Purely Functional Programming...
Halogen: Past, Present, and Future
All Aboard The Scala-to-PureScript Express!
Getting Started with PureScript
SlamData - How MongoDB Is Powering a Revolution in Visual Analytics
The Next Great Functional Programming Language
The Dark Side of NoSQL

Recently uploaded (20)

PPTX
Detection-First SIEM: Rule Types, Dashboards, and Threat-Informed Strategy
PPTX
A Presentation on Artificial Intelligence
PDF
Electronic commerce courselecture one. Pdf
PPTX
20250228 LYD VKU AI Blended-Learning.pptx
PDF
Agricultural_Statistics_at_a_Glance_2022_0.pdf
PDF
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
PPTX
PA Analog/Digital System: The Backbone of Modern Surveillance and Communication
PDF
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
PDF
Review of recent advances in non-invasive hemoglobin estimation
PDF
cuic standard and advanced reporting.pdf
PDF
Chapter 3 Spatial Domain Image Processing.pdf
PPTX
MYSQL Presentation for SQL database connectivity
PDF
Machine learning based COVID-19 study performance prediction
PPTX
Cloud computing and distributed systems.
PDF
Shreyas Phanse Resume: Experienced Backend Engineer | Java • Spring Boot • Ka...
PDF
Approach and Philosophy of On baking technology
PDF
How UI/UX Design Impacts User Retention in Mobile Apps.pdf
PDF
Diabetes mellitus diagnosis method based random forest with bat algorithm
PDF
Advanced methodologies resolving dimensionality complications for autism neur...
PDF
KodekX | Application Modernization Development
Detection-First SIEM: Rule Types, Dashboards, and Threat-Informed Strategy
A Presentation on Artificial Intelligence
Electronic commerce courselecture one. Pdf
20250228 LYD VKU AI Blended-Learning.pptx
Agricultural_Statistics_at_a_Glance_2022_0.pdf
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
PA Analog/Digital System: The Backbone of Modern Surveillance and Communication
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
Review of recent advances in non-invasive hemoglobin estimation
cuic standard and advanced reporting.pdf
Chapter 3 Spatial Domain Image Processing.pdf
MYSQL Presentation for SQL database connectivity
Machine learning based COVID-19 study performance prediction
Cloud computing and distributed systems.
Shreyas Phanse Resume: Experienced Backend Engineer | Java • Spring Boot • Ka...
Approach and Philosophy of On baking technology
How UI/UX Design Impacts User Retention in Mobile Apps.pdf
Diabetes mellitus diagnosis method based random forest with bat algorithm
Advanced methodologies resolving dimensionality complications for autism neur...
KodekX | Application Modernization Development

ZIO Queue

  • 1. ZIO Queue John A. De Goes — @jdegoes - http://degoes.net ScalaWave 2018 ZIO Queue ScalaWave 2018 - Gdańsk, Poland John A. De Goes @jdegoes - http://degoes.net
  • 2. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
  • 3. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up ZIO ZIO lets you build high-performance, type-safe, concurrent, asynchronous applications that don’t leak resources or deadlock, and are easy to reason about compositionally, test, and refactor.
  • 4. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up github.com/scalaz/scalaz-zio ZIO
  • 5. def main: Unit = { println("Hello, what is your name?") val name = readLine() println(s"Good morning, $name!") } Second-Class Effects ✗ Pass to functions ✗ Return from functions ✗ Store in data structures ✗ Async/sync/concurrency ✓ Resource-safety What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
  • 6. def main: IO[IOException, Unit] = for { _ <- putStrLn("Hello, what is your name?") name <- getStrLn _ <- putStrLn(s"Good morning, $name!") } yield () First-Class Effects ✓ Pass to functions ✓ Return from functions ✓ Store in data structures ✓ Async/sync/concurrency ✓ Resource-safety What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
  • 7. IO[E, A] IO[E, A] is an immutable value that describes an effectful computation, which may fail with a value of type E, or compute a value of type A. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
  • 8. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
  • 9. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
  • 10. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
  • 11. def runInParallel[E, A, B]( leftIO : IO[E, A], rightIO: IO[E, B]): IO[E, (A, B)] = for { leftFiber <- leftIO.fork rightFiber <- rightIO.fork a <- leftFiber.join b <- rightFiber.join } yield (a, b) Fork/Join Concurrency with Fibers ✓ Massive scalability over threads ✓ Non-blocking ✓ Automatically interruptible ✓ Always resource-safe ✓ Powerful composition What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up
  • 12. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Powered by Queues
  • 13. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Producer Consumer offer take Queue 1-to-1
  • 14. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Producer Consumer offer take Queue Producer n-to-1
  • 15. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Producer Consumer offer take Queue Consumer 1-to-m
  • 16. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Consumer offer take Queue Consumer Producer Producer n-to-m
  • 17. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up FIFO LIFO PRIO Bounded Unbounded Dropping Sliding dimensions of variation
  • 18. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up queue actors send
  • 19. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up concurrent graph search
  • 20. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up resource sharing scarce resource e.g. threads Thread 1 take Thread 2offer
  • 21. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up loose coupling offer take Fast Producers Slow Consumers buffer
  • 22. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Troubled Queues
  • 23. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up java.util.concurrent.BlockingQueue
  • 24. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up java.util.concurrent.BlockingQueue trait BlockingQueue[A] { def take: A def offer(a: A): Boolean }
  • 25. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up java.util.concurrent.BlockingQueue Blocks one thread until element added trait BlockingQueue[A] { def take: A def offer(a: A): Boolean }
  • 26. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up java.util.concurrent.BlockingQueue Fast Producer Slow Consumer offer take Queue
  • 27. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up java.util.concurrent.BlockingQueue Fast Producer Slow Consumer offer take Queue manual backpressure
  • 28. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up java.util.concurrent.BlockingQueue def fastProducer = { if (!queue.offer(a)) { // Slow down!!! } else { // Keep producing... } }
  • 29. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up java.util.concurrent.BlockingQueue Fast Producer Slow Consumer offer take Queue manual backpressure manual backpressure take
  • 30. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up java.util.concurrent.ConcurrentLinkedQueue trait ConcurrentLinkedQueue[A] { def poll: A def offer(a: A): Boolean } Returns null if empty
  • 31. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up java.util.concurrent.ConcurrentLinkedQueue Fast Producer Slow Consumer offer poll Queue
  • 32. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up github.com/scalaz/scalaz-zio ZIO QUEUE
  • 33. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up ZIO Queue trait Queue[A] { def take: IO[Nothing, A] def offer(a: A): IO[Nothing, Unit] def shutdown(ts: Throwable*): IO[Nothing, Unit] } object Queue { def bounded[A](capacity: Int): IO[Nothing, Queue[A]] = ??? def unbounded[A]: IO[Nothing, Queue[A]] = ??? }
  • 34. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Example for { queue <- Queue.unbounded[String] _ <- queue.offer("Give me Coffee!").forever.fork _ <- queue.take.flatMap(putStrLn).forever } yield ()
  • 35. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up 5. Concurrent Consumer offer take Queue Consumer Producer Producer ZIO
  • 36. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up 4. Interruptible for { queue <- Queue.unbounded[String] fiber <- queue.offer("Give me Coffee!").forever.fork _ <- fiber.interrupt } yield ()
  • 37. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up 3. Clean Shutdown for { queue <- Queue.unbounded[String] fiber1 <- queue.offer("Give me Coffee!").forever.fork fiber2 <- queue.take.forever.fork _ <- queue.shutdown } yield ()
  • 38. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up 2. Asynchronous for { queue <- Queue.unbounded[String] worker = queue.take.flatMap(putStrLn).forever workers10k = List.fill(10000)(worker) _ <- IO.forkAll(workers10k) _ <- queue.offer("More Coffee!").forever.fork } yield ()
  • 39. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up 2. Asynchronous trait BlockingQueue[A] { def take: A ; def offer(a: A): Boolean }
  • 40. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up 1. Composable Backpressure for { queue <- Queue.bounded[String](10) worker = queue.offer("Coffee").forever workers10k = List.fill(10000)(worker) _ <- IO.forkAll(workers10k) _ <- queue.take.flatMap(putStrLn).forever.fork } yield ()
  • 41. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors case class Actor[+E, -A, +B](run: A => IO[E, B]) { self => def ! (a: A): IO[E, B] = run(a) }
  • 42. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 43. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 44. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 45. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 46. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 47. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 48. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 49. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 50. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 51. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 52. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 53. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeActor[S, E, A, B](supervisor: Supervisor)(s: S)(receive: (S, A) => IO[E, (S, B)]): IO[Nothing, Actor[E, A, B]] = for { state <- Ref(s) queue <- Queue.bounded[(A, Promise[E, B])](QueueSize) fiber <- (for { t <- queue.take s <- state.get (a, promise) = t receiver = receive(s, a) completer = (s: S, b: B) => state.set(s) *> promise.complete(b) _ <- receiver.redeem( e => supervise(receiver, e) .redeem(promise.error, completer), completer) } yield ()).forever.fork } yield Actor[E, A, B]((a: A) => Promise.make[E, B].flatMap(p => queue.offer((a, p)).flatMap(_ => p.get))
  • 54. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Application: Scalaz Actors def makeCounter: IO[Nothing, Actor[Nothing, Int, Int]] = makeActor(Supervisor.logDefects(Logging))(0) { (state: Int, n: Int) => IO.now((state + n, state + n)) } for { counter <- makeCounter _ <- counter ! 40 _ <- counter ! -2 v <- counter ! 0 } yield v
  • 55. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up WRAP UP
  • 56. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up github.com/scalaz/scalaz-zio ZIO CFC
  • 57. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up ZIO ROADMAP Performance Sliding Dropping
  • 58. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up https://gitter.im/scalaz/scalaz/ https://gitter.im/scalaz/scalaz-ioqueue/
  • 59. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up Functional Scala by John A. De Goes Local Remote Date Scotland European Time Sep 10 - 14 Toronto East Coast Time Oct 1 - 5 ? European Time Oct 22 - 26 SF / SV Pacific Coast Time Nov 18 - 22
  • 60. What is ZIO? Powered by Queues Troubled Queues Introducing ZIO Queue Wrap Up THANK YOU! @jdegoes - http://degoes.net