uPickle: a flexible Json Serializer

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uPickle serializer is a lightweight Json library for scala. uPickle is built on top of uJson which are used for easy manipulation of json without the need of converting it to a scala case class. We can even use uJson as standalone too. In this blog, I will focus only on uPickle library.

Note: uPickle does not support Scala 2.10; only 2.11 and 2.12 are supported

uPickle (pronounced micro-pickle) is a lightweight JSON serialization library which is fast than many other json serializers. I will talk more about the comparison of different serializers in my next blog. This blog will cover all the basic stuff about uPickle.

Features

Simple to use, with nice human-readable JSON output
Very high Performance; faster than Play-Json, Circe, or Argonaut by a large margin
Simple & easy to understand JSON Processing API, that should be instantly familiar to anyone whose processed JSON in Python, Ruby, or Javascript
Flexible and easily customizable
Zero dependencies; can be included in any project without worrying about conflicts
ScalaJS support, allowing transfer of structured data between the JVM and Javascript.

If you use uJson you will get basic operations to manipulate JSON:

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	package object ujson{
	def transform[T](t: Transformable, v: Visitor[_, T]) = t.transform(v)

	def read(s: Transformable): Js.Value = transform(s, Js)

	def copy(t: Js.Value): Js.Value = transform(t, Js)

	def write(t: Js.Value, indent: Int = -1): String = {
	transform(t, StringRenderer(indent)).toString
	}

	def writeTo(t: Js.Value, out: java.io.Writer, indent: Int = -1): Unit = {
	transform(t, Renderer(out, indent))
	}

	def validate(s: Transformable): Unit = transform(s, NoOpVisitor)

	def reformat(s: Transformable, indent: Int = -1): String = {
	transform(s, StringRenderer(indent)).toString
	}

	def reformatTo(s: Transformable, out: java.io.Writer, indent: Int = -1): Unit = {
	transform(s, Renderer(out, indent)).toString
	}
	// End ujson
	}

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The uPickle library that uses uJson builds on top of these, exposing similar operations that work on any type T with a provided Reader or Writer:

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	trait Api {
	def read[T: Reader](s: Transformable): T = s.transform(reader[T])

	def readJs[T: Reader](s: Js.Value): T = s.transform(reader[T])

	def reader[T: Reader] = implicitly[Reader[T]]

	def write[T: Writer](t: T, indent: Int = -1): String = {
	transform(t).to(StringRenderer(indent)).toString
	}

	def writeJs[T: Writer](t: T): Js.Value = transform(t).to[Js.Value]

	def writeTo[T: Writer](t: T, out: java.io.Writer, indent: Int = -1): Unit = {
	transform(t).to(new Renderer(out, indent = indent))
	}

	def writer[T: Writer] = implicitly[Writer[T]]

	def writable[T: Writer](t: T): Transformable = Transformable.fromTransformer(t, writer[T])

	def readwriter[T: ReadWriter] = implicitly[ReadWriter[T]]

	case class transform[T: Writer](t: T) extends Transformable{
	def transform[V](f: ujson.Visitor[_, V]): V = writer[T].transform(t, f)
	def to[V](f: ujson.Visitor[_, V]): V = transform(f)
	def to[V](implicit f: Reader[V]): V = transform(f)
	}
	// End Api
	}

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Now let’s see how it works.

First, we need to add the dependency in build.sbt

libraryDependencies += “com.lihaoyi” %% “upickle” % “0.6.5”

Then add this import in your code:

import upickle.default._

Scala primitive data types:

write(true: Boolean)              returns true (JSON Boolean)
write("Hello Upickle": String)    returns "Hello Upickle" (Json String)
write('A': Char)                  returns "A" (JSON String)
write(10: Int)                    returns 10 (JSON Number)
write(10: Float)                  returns 10 (JSON Number)
write(10.0: Double)               returns 10 (JSON Number)
write(1000000L: Long)             returns "10" (Json String)

Scala Collections:

write(List("Hello", "World"))     returns ["Hello","World"]    (JSON List)
write(Array("Hello", "uPickle"))  returns ["Hello","uPickle"]  (JSON List)

Scala Options:

write(Some("uPickle"))            returns ["uPickle"]   (JSON List)
write(None)                       returns []            (JSON List)

Scala case classes

case class MyuPickle(libraryName: String, _type: String) 
object MyuPickle { 
   implicit def rw: RW[MyuPickle] = macroRW 
} 
//now to serialize it 
write(MyuPickle("uPickle", "JSON Serializer"))                                   returns {"libraryName":"uPickle","_type":"JSON Serializer"}
//to deserialize it
read[MyuPickle]("{\"libraryName\":\"uPickle\",\"_type\":\"JSON Serializer\"}")   returns MyuPickle(uPickle,JSON Serializer)

Custom read/write

import upickle.default._

case class CustomPickle(libraryName: String, _type: String)
object CustomPickle {
  implicit val rw = upickle.default.readwriter[String].bimap[CustomPickle](
    customPickle => customPickle.libraryName + " " + customPickle._type,
    str => {
      val Array(name, _type) = str.split(" ", 2)
      new CustomPickle(name, _type)
    }
  )
}

write(CustomPickle("uPickle", "json serializer"))   returns "uPickle json serializer"
read[CustomPickle]("\"uPickle json serializer\"")   returns CustomPickle(uPickle,json serializer)

Supported Types

uPickle provides read/write for the following types:

Boolean, Byte, Char, Short, Int, Long, Float, Double
Tuples from 1 to 22
Immutable Seq, List, Vector, Set, SortedSet, Option, Array, Maps, and all other collections with a reasonable CanBuildFrom implementation
Duration, Either
Stand-alone case classes and case objects, and their generic equivalents,
Non-generic case classes and case objects that are part of a sealed trait or sealed classhierarchy
sealed trait and sealed classes themselves, assuming that all subclasses are picklable
UUIDs
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