问题
Scala 2.10 seems to have broken some of the old libraries (at least for the time being) like Jerkson and lift-json.
The target usability is as follows:
case class Person(name: String, height: String, attributes: Map[String, String], friends: List[String])
//to serialize
val person = Person("Name", ....)
val json = serialize(person)
//to deserialize
val sameperson = deserialize[Person](json)
But I'm having trouble finding good existing ways of generating and deserializing Json that work with Scala 2.10.
Are there best practice ways of doing this in Scala 2.10?
回答1:
Jackson is a Java library to process JSON fast. The Jerkson project wraps Jackson, but appears to be abandoned. I've switched to Jackson's Scala Module for serialization and deserialization to native Scala data structures.
To get it, include the following in your build.sbt:
libraryDependencies ++= Seq(
"com.fasterxml.jackson.module" %% "jackson-module-scala" % "2.1.3",
...
)
Then your examples will work verbatim with the following Jackson wrapper (I extracted it from jackson-module-scala test files):
import java.lang.reflect.{Type, ParameterizedType}
import com.fasterxml.jackson.databind.ObjectMapper
import com.fasterxml.jackson.module.scala.DefaultScalaModule
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.core.`type`.TypeReference;
object JacksonWrapper {
val mapper = new ObjectMapper()
mapper.registerModule(DefaultScalaModule)
def serialize(value: Any): String = {
import java.io.StringWriter
val writer = new StringWriter()
mapper.writeValue(writer, value)
writer.toString
}
def deserialize[T: Manifest](value: String) : T =
mapper.readValue(value, typeReference[T])
private [this] def typeReference[T: Manifest] = new TypeReference[T] {
override def getType = typeFromManifest(manifest[T])
}
private [this] def typeFromManifest(m: Manifest[_]): Type = {
if (m.typeArguments.isEmpty) { m.erasure }
else new ParameterizedType {
def getRawType = m.erasure
def getActualTypeArguments = m.typeArguments.map(typeFromManifest).toArray
def getOwnerType = null
}
}
}
Other Scala 2.10 JSON options include Twitter's scala-json based on the Programming Scala book--it's simple, at the cost of performance. There is also spray-json, which uses parboiled for parsing. Finally, Play's JSON handling looks nice, but it does not easily decouple from the Play project.
回答2:
Mentioning json4s that wraps jackson, lift-json or its own native implementation as a long term solution:
- code
- website
回答3:
I can heartily recommend argonaut for json support in scala. All you need to configure it to serialize your Customer object is one line:
implicit lazy val CodecCustomer: CodecJson[Customer] =
casecodec6(Customer.apply, Customer.unapply)("id","name","address","city","state","user_id")
That will pimp your class to give it an .asJson method which turns it into a string. It will also pimp the string class to give it a method .decodeOption[List[Customer]] to parse strings. It handles the options in your class fine. Here is a working class with a passing test and a running main method which you can drop into a git clone of argonaut to see it all working fine:
package argonaut.example
import org.specs2.{ScalaCheck, Specification}
import argonaut.CodecJson
import argonaut.Argonaut._
case class Customer(id: Int, name: String, address: Option[String],
city: Option[String], state: Option[String], user_id: Int)
class CustomerExample extends Specification with ScalaCheck {
import CustomerExample.CodecCustomer
import CustomerExample.customers
def is = "Stackoverflow question 12591457 example" ^
"round trip customers to and from json strings " ! {
customers.asJson.as[List[Customer]].toOption must beSome(customers)
}
}
object CustomerExample {
implicit lazy val CodecCustomer: CodecJson[Customer] =
casecodec6(Customer.apply, Customer.unapply)("id","name","address","city","state","user_id")
val customers = List(
Customer(1,"one",Some("one street"),Some("one city"),Some("one state"),1)
, Customer(2,"two",None,Some("two city"),Some("two state"),2)
, Customer(3,"three",Some("three address"),None,Some("three state"),3)
, Customer(4,"four",Some("four address"),Some("four city"),None,4)
)
def main(args: Array[String]): Unit = {
println(s"Customers converted into json string:\n ${customers.asJson}")
val jsonString =
"""[
| {"city":"one city","name":"one","state":"one state","user_id":1,"id":1,"address":"one street"}
| ,{"city":"two city","name":"two","state":"two state","user_id":2,"id":2}
| ,{"name":"three","state":"three state","user_id":3,"id":3,"address":"three address"}
| ,{"city":"four city","name":"four","user_id":4,"id":4,"address":"four address"}
|]""".stripMargin
var parsed: Option[List[Customer]] = jsonString.decodeOption[List[Customer]]
println(s"Json string turned back into customers:\n ${parsed.get}")
}
}
The developers are also helpful and responsive to folks getting started.
回答4:
There is now a fork of Jerkson that supports Scala 2.10 at https://github.com/randhindi/jerkson.
回答5:
So, based on the absence of an error message and the incorrect sample code, I'm suspecting this is more of an issue of just not understanding how the lift-json extraction works. If I've misunderstood, do comment and let me know. So, if I'm right then here's what you need.
To serialize:
import net.liftweb.json._
import Extraction._
implicit val formats = DefaultFormats
case class Person(...)
val person = Person(...)
val personJson = decompose(person) // Results in a JValue
Then to reverse the process you'd do something like:
// Person Json is a JValue here.
personJson.extract[Person]
If that's not the part you're having trouble with, then do let me know and I can try to revise my answer to be more helpful.
来源：https://stackoverflow.com/questions/12591457/scala-2-10-json-serialization-and-deserialization