Florent Chiron fchiron

Fibers

Fibers are an abstraction over sequential computation, similar to threads but at a higher level. There are two ways to think about this model: by example, and abstractly from first principles. We'll start with the example.

(credit here is very much due to Fabio Labella, who's incredible Scala World talk describes these ideas far better than I can)

Callback Sequentialization

Consider the following three functions

Moved to Shopify/graphql-design-tutorial

Thread Pools

Thread pools on the JVM should usually be divided into the following three categories:

CPU-bound
Blocking IO
Non-blocking IO polling

Each of these categories has a different optimal configuration and usage pattern.

Category theory jargon cheat sheet

A primer/refresher on the category theory concepts that most commonly crop up in conversations about Scala or FP. (Because it's embarassing when I forget this stuff!)

I'll be assuming Scalaz imports in code samples, and some of the code may be pseudo-Scala.

Functor

A functor is something that supports map.

Install

Either copy the aliases from the .gitconfig or run the commands in add-pr-alias.sh

Usage

Easily checkout local copies of pull requests from remotes:

git pr 4 - creates local branch pr/4 from the github upstream(if it exists) or origin remote and checks it out
git pr 4 someremote - creates local branch pr/4 from someremote remote and checks it out

	import java.time.Instant
	import java.time.format.DateTimeFormatter
	import java.util.concurrent.ConcurrentLinkedQueue

	import sangria.ast._
	import sangria.execution._
	import sangria.schema.Context
	import sangria.marshalling.queryAst._
	import sangria.renderer.SchemaRenderer