根據經驗Json處理是比較簡單的，但是Play和akka-http的序列化讓我煩惱了不少時間，所以我從自己的角度記錄一下Play的JSON處理，程式碼也都是從官方文件複製後重新整理的,下面是參考的官方文件下有幾篇JSON的文章

Working with Json

1. JSON basics
2. JSON with HTTP
3. JSON Reads/Writes/Format Combinators
4. JSON automated mapping
5. JSON Transformers

實體序列化例子

1.本例中使用的實體類

package serialize

case class
 
 Location(lat: Double, long: Double)
case class Resident(name: String, age: Int, role: Option[String])
case class Place(name: String, location: Location, residents: Seq[Resident])

2.序列化例子

import play.api.libs.json._
import play.api.libs.functional.syntax._
import serialize.{Location, Place, Resident}

object PlayJsonTest{

  def main(args:Array[String]):Unit
 
={

    implicit val locationReads = Json.reads[Location]
    implicit val residentReads = Json.reads[Resident]
    implicit val placeReads = Json.reads[Place]

    val json: JsValue = Json.parse("""
                  {
                    "name" : "Watership Down",
                    "location" : {
                      
 
"lat" : 51.235685,
                      "long" : -1.309197
                    },
                    "residents" : [ {
                      "name" : "Fiver",
                      "age" : 4,
                      "role" : null
                    }, {
                      "name" : "Bigwig",
                      "age" : 6,
                      "role" : "Owsla"
                    } ]
                  }
                  """)

    val result: JsResult[Place] = Json.fromJson[Place](json)

    result match {
      case JsSuccess(r: Place, path: JsPath) => println("Name: " + r.name)
      case e: JsError => println("Errors: " + JsError.toJson(e).toString())
    }
  }
}

3.總結