scala

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sjson-new and the prisoner of Azkaban

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This is part 3 on the topic of sjson-new. See also part 1 and part 2.

Within the sbt code base there are a few places where the persisted data is in the order of hundreds of megabytes that I suspect it becomes a performance bottleneck, especially on machines without an SSD drive.
Naturally, my first instinct was to start reading up on the encoding of Google Protocol Buffers to implement my own custom binary format.

microbenchmark using sbt-jmh

What I should've done first, is start benchmarking. Using @ktosopl (Konrad Malawski)'s sbt-jmh, setting up a microbenchmark is easy. All you have to do is pop that plugin into your build. and create a subproject that enables JmhPlugin.

sjson-new and custom codecs using LList

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Two months ago, I wrote about sjson-new. I was working on that again over the weekend, so here's the update.
In the earlier post, I've introduced the family tree of JSON libraries in Scala ecosystem, the notion of backend independent, typeclass based JSON codec library. I concluded that we need some easy way of defining a custom codec for it to be usable.

roll your own shapeless

In between the April post and the last weekend, there were flatMap(Oslo) 2016 and Scala Days New York 2016. Unfortunately I wasn't able to attend flatMap, but I was able to catch Daniel Spiewak's "Roll Your Own Shapeless" talk in New York. The full flatMap version is available on vimeo, so I recommend you check it out.

sbt internally uses HList for caching using sbinary:

implicit def mavenCacheToHL = (m: MavenCache) => m.name :*: m.rootFile.getAbsolutePath :*: HNil
implicit def mavenRToHL = (m: MavenRepository) => m.name :*: m.root :*: HNil
...

and I've been thinking something like an HList or Shapeless's LabelledGeneric would be a good intermediate datatype to represent JSON object, so Daniel's talk became the last push on my back.
In this post, I will introduce a special purpose HList called LList.

LList

sjson-new comes with a datatype called LList, which stands for labelled heterogeneous list.
List[A] that comes with the Standard Library can only store values of one type, namely A. Unlike the standard List[A], LList can store values of different types per cell, and it can also store a label per cell. Because of this reason, each LList has its own type. Here's how it looks in the REPL:

scala> import sjsonnew._, LList.:*:
import sjsonnew._
import LList.$colon$plus$colon
 
scala> import BasicJsonProtocol._
import BasicJsonProtocol._
 
scala> val x = ("name", "A") :*: ("value", 1) :*: LNil
x: sjsonnew.LList.:*:[String,sjsonnew.LList.:*:[Int,sjsonnew.LNil]] = (name, A) :*: (value, 1) :*: LNil
 
scala> val y: String :*: Int :*: LNil = x
y: sjsonnew.LList.:*:[String,sjsonnew.LList.:*:[Int,sjsonnew.LNil]] = (name, A) :*: (value, 1) :*: LNil

Can you find String and Int mentioned in that long type name of x? String :*: Int :*: LNil is a short form of writing that as demonstrated by y.

BasicJsonProtocol is able to convert all LList values into a JSON object.

foundweekends

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I made a new Github organization called foundweekends for people who like coding in the weekends. If you want to join, or have project ideas ping me on twitter or come talk to us on Gitter.

As the starter, it will pick up maintenance of conscript, giter8, and pamflet from @n8han.

sjson-new

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As a favorite weekend activity for the Scala programmers, I wrote my own JSON library called sjson-new.
sjson-new is a typeclass based JSON codec library, or wit for that Jawn. In other words, it aims to provide sjson-like codec facility in a backend independent way.

In terms of the codebase I based it off of spray-json, but conceptually it's close to Scala Pickling in the way it deals with data. Unlike Pickling, however, sjson-new-core is free of macros and runtime reflection beyond normal pattern matching.

Here's how to use with Json4s-AST:

libraryDependencies += "com.eed3si9n" %%  "sjson-new-json4s" % "0.1.0"

Here's how to use with Spray:

libraryDependencies += "com.eed3si9n" %%  "sjson-new-spray" % "0.1.0"

ScalaMatsuri as a lifestyle

in

For me (and for many of the 27 organizers, I imagine) ScalaMatsuri is a lifestyle. It's true that there was a successful two-day conference in Tokyo with 550 participants. But for us the organizers, the preparation has been going on since February 28th, for 11 months. Despite the fact that my contribution was small, planning ScalaMatsuri 2016 was by far the most amount of involvement I've committed to. Through the course of planning months, there were many discussions over Slack, Hangouts, and occasionally even face-to-face. The fun part was coming up with the ideas together, and seeing them materialize. Sometimes, I was the one coming up with radical ideas that were being executed by someone else, while other times, it was the opposite case and I was getting my hands dirty.

I've already written a lot of what I wanted to say in A regional tech conference that's also global, so there might be some overlap over here.

a regional tech conference that's also global

in

stricter Scala with -Yno-lub

in

For a flexible language like Scala, it's useful to think of subset of the programming language, like your own personal Good Parts, and opinionated style guides.

setup

To try -Yno-lub, you can drop in the following sbt plugin to project/ynolub.sbt:

addSbtPlugin("com.eed3si9n" % "sbt-ynolub" % "0.2.0")

lub

When Scala's type inferencer finds type A and type B to unify, it tries to calculate the lub (least upper bounds) of two types with regards to <:<. This process is sometimes called lubbing. Here are some of the examples:

scala> if (true) Some(1) else None
res0: Option[Int] = Some(1)
 
scala> if (true) List(1) else Nil
res1: List[Int] = List(1)

One idea I've been thinking about for a few years is that lubbing in its current form is not helpful.

herding cats: day 1

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Check out my new series herding cats. (I'm writing it using Pamflet from the get go)

This is a log of me going through Cats, a functional programming library for Scala that is currently experimental and under active development.

switching Java version

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I've been switching between Mac and Ubuntu, and between Java 6 and 7 lately.
This is a memo of how to switch Java versions on both Mac and Ubuntu.

Update: Yoshida-san told me about this thing called jEnv, which does all this.

Zshrc

Here's one way of loading different shell files depending on the OS:

## basic
[ -f $HOME/dotfiles/zshrc.basic ] && source $HOME/dotfiles/zshrc.basic

## aliases
[ -f $HOME/dotfiles/zshrc.alias ] && source $HOME/dotfiles/zshrc.alias

case "${OSTYPE}" in
# MacOSX
darwin*)

towards universal access at a conference

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Two days of #ScalaMatsuri ended as a huge success. But for the next year, I'm leaving ourselves a few homeworks to work on. As the title suggests, the next goal that we should aim for is universal access. In Scala language, universal access principle indicates the fact that both methods and fields can be accessed interchangeably from outside.

For a conference, I mean universal access to mean being more inclusive to various groups of people:

  • women/men/straight/LGBT programmers
  • Japanese/English speakers
  • beginners and experts
  • postdocs
  • people from other Asian countries
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