使用Jerkson反序列化案例类(嵌套)

时间:2013-10-04 21:21:02

标签: json scala case-class jerkson

在Eclipse Scala IDE中使用工作表(包含代码和输出)。

这个简单的代码给出ClassNotFoundException。出于某种原因,它似乎无法找到Address类。

类似:Deserializing JSON into user-defined case classes with Jerkson(但他们的问题与Play框架和解析错误有关)

import com.codahale.jerkson.Json._

object person {

  case class Address(city: String, state: String)
  case class Person(name: String, age: Int, addresses: Seq[Address])

  parse[Person]("""{"name":"James", "age":25, "addresses": [{"city":"New York", "state": "NY"}, {"city":"Brooklyn", "state": "NY"}]}""")
  //> java.lang.ClassNotFoundException: <empty>.person.Address
  //|   at java.net.URLClassLoader$1.run(URLClassLoader.java:202)
  //|   at java.security.AccessController.doPrivileged(Native Method)
  //|   at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
  //|   at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
  //|   at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
  //|   at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
  //|   at com.codahale.jerkson.util.CaseClassSigParser$.loadClass(CaseClassSigP
  //| arser.scala:186)
  //|   at com.codahale.jerkson.util.CaseClassSigParser$.typeRef2JavaType(CaseCl
  //| assSigParser.scala:143)
  //|   at com.codahale.jerkson.util.CaseClassSigParser$$anonfun$typeRef2JavaTyp
  //| e$1.apply(CaseClassSigParser.scala:146)
  //|   at com.codahale.jerkson.util.CaseClassSigParser$$anonfun$typeRef2JavaTyp
  //| e$1.apply(CaseClassSigParser.scala:146)
  //|   at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike
  //| .scala:233)
  //|   
  //| Output exceeds cutoff limit.

}

1 个答案:

答案 0 :(得分:0)

我通过使用lift-json jar使其工作。请参阅lift-json文档中的extracting values

package com.example.json

import net.liftweb.json._

object HelloJson extends App {

  case class Address(city: String, state: String)
  case class Person(name: String, addresses: List[Address])

  implicit val formats = DefaultFormats
  val json = parse(""" { "name" : "Billy", "addresses" : [{"city": "New York", "state": "NY"}, {"city": "Washington", "state": "DC"}] } """)
  println(json.extract[Person])
}