Java開發工具-scala處理json格式利器-json4s詳解

case object JNothing extends JValue // 'zero' for JValue
case object JNull extends JValue
case class JString(s: String) extends JValue
case class JDouble(num: Double) extends JValue
case class JDecimal(num: BigDecimal) extends JValue
case class JInt(num: BigInt) extends JValue
case class JLong(num: Long) extends JValue
case class JBool(value: Boolean) extends JValue
case class JObject(obj: List[JField]) extends JValue
case class JArray(arr: List[JValue]) extends JValue
 
type JField = (String, JValue)

<dependency>
 <groupId>org.json4s</groupId>
 <artifactId>json4s-native_2.11</artifactId>
 <version>3.7.0-M6</version>
</dependency>

package com.hoult.scala.json4s
import org.json4s._
import org.json4s.JsonDSL._
import org.json4s.native.JsonMethods._

object Demo1 {
 def main(args: Array[String]): Unit = {

 //parse方法表示從字符串到json-object
 val person = parse(
  """
  |{"name":"Toy","price":35.35}
  |""".stripMargin, useBigDecimalForDouble = true)
 // 1.模式匹配提取， \表示提取
 val JString(name) = (person \ "name")
 println(name)

 // 2.extract[String]取值
// implicit val formats = org.json4s.Formats
 implicit val formats = DefaultFormats
 val name2 = (person \ "name").extract[String]
 val name3 = (person \ "name").extractOpt[String]
 val name4 = (person \ "name").extractOrElse("")

 // 3.多層嵌套取值
 val parseJson: JValue = parse(
  """
  |{"name":{"tome":"new"},"price":35.35}
  |""".stripMargin, useBigDecimalForDouble = true)

 //3.1 逐層訪問
 val value = (parseJson \ "name" \ "tome").extract[String]
 //3.2 循環訪問
 val value2 = (parseJson \\ "tome")
 println(value2)


 //4.嵌套json串解析
 val json = parse(
  """
   { "name": "joe",
   "children": [
    {
    "name": "Mary",
    "age": 20
    },
    {
    "name": "Mazy",
    "age": 10
    }
   ]
   }
  """)

// println(json \ "children")

 //模式匹配
 for (JArray(child) <- json) println(child)

 //提取object 下 某字段的值
 val ages = for {
  JObject(child) <- json
  JField("age", JInt(age)) <- child
 } yield age

 println(ages)

 // 嵌套取數組中某個字段值，並添加過濾
 val nameAges = for {
  JObject(child) <- json
  JField("name", JString(name)) <- child
  JField("age", JInt(age)) <- child
  if age > 10
 } yield (name, age)

 println(nameAges)

 // 5.json和對象的轉換,[就是json數組]
 case class ClassA(a: Int, b: Int)

 val json2: String = """[{"a":1,"b":2},{"a":1,"b":2}]"""

 val bb: List[ClassA] = parse(json2).extract[List[ClassA]]
 println(bb)

 // 6.json轉對象，[json 非json數組，但是每個級別要明確]
 case class ClassC(a: Int, b: Int)

 case class ClassB(c: List[ClassC])

 val json3: String = """{"c":[{"a":1,"b":2},{"a":1,"b":2}]}"""

 val cc: ClassB = parse(json3).extract[ClassB]
 println(cc)

 // 7.使用org.json4s產生json字符串
// import org.json4s.JsonDSL._
 val json1 = List(1, 2, 3)
 val jsonMap = ("name" -> "joe")
 val jsonUnion = ("name" -> "joe") ~ ("age" -> 10)
 val jsonOpt = ("name" -> "joe") ~ ("age" -> Some(1))
 val jsonOpt2 = ("name" -> "joe") ~ ("age" -> (None: Option[Int]))
 case class Winner(id: Long, numbers: List[Int])
 case class Lotto(id: Long, winningNumbers: List[Int], winners: List[Winner], drawDate: Option[java.util.Date])

 val winners = List(Winner(10, List(1, 2, 5)), Winner(11, List(1, 2, 0)))
 val lotto = Lotto(11, List(1, 2, 5), winners, None)

 val jsonCase =
  ("lotto" ->
  ("lotto-id" -> lotto.id) ~
   ("winning-numbers" -> lotto.winningNumbers) ~
   ("draw-date" -> lotto.drawDate.map(_.toString)) ~
   ("winners" ->
   lotto.winners.map { w =>
    (("winner-id" -> w.id) ~
    ("numbers" -> w.numbers))}))

 println(compact(render(json1)))
 println(compact(render(jsonMap)))
 println(compact(render(jsonUnion)))
 println(compact(render(jsonOpt)))
 println(compact(render(jsonOpt2)))
 println(compact(render(jsonCase)))

 // 8.json格式化
 println(pretty(render(jsonCase)))

 // 9.合並字符串
 val lotto1 = parse("""{
   "lotto":{
   "lotto-id": 1,
   "winning-numbers":[7,8,9],
   "winners":[{
    "winner-id": 1,
    "numbers":[7,8,9]
   }]
   }
  }""")

 val lotto2 = parse("""{
   "lotto":{
   "winners":[{
    "winner-id": 2,
    "numbers":[1,23,5]
   }]
   }
  }""")

 val mergedLotto = lotto1 merge lotto2
// println(pretty(render(mergedLotto)))

 // 10.字符串尋找差異
 val Diff(changed, added, deleted) = mergedLotto diff lotto1
 println(changed)
 println(added)
 println(deleted)

 val json10 = parse(
  """

  """)

 println("********8")
 println(json10)
 for (JObject(j) <- json10) println(j)

 println("********11")

 // 11.遍歷json，使用for
 // key1 values key1_vk1:v1 ....
 val str = "{\"tag_name\":\"t_transaction_again_day\",\"tag_distribute_json\":\"{\\\"1\\\":\\\"0.0011231395\\\",\\\"0\\\":\\\"0.9988768605\\\"}\"}"

 val valueJson = parse(str) \ "tag_distribute_json"
 println(valueJson)
 for {
  JString(obj) <- valueJson
  JObject(dlist) <- parse(obj)
  (key, JString(value))<- dlist
 } {
  println(key + "::" + value)
//  val kvList = for (JObject(key, value) <- parse(obj)) yield (key, value)
//  println("obj : " + kvList.mkString(","))
 }
 }
}

implicit val formats = Serialization.formats(NoTypeHints)