Spark Scala - How to construct Scala Map from nested JSON?

I've a nested json data with nested fields that I want to extract and construct a Scala Map.

Heres the sample JSON:

"nested_field": [
  {
    "airport": "sfo",
    "score": 1.0
  },
  {
    "airport": "phx",
    "score": 1.0
  },
  {
    "airport": "sjc",
    "score": 1.0
  }
]

I want to use saveToES() and construct a Scala Map to index the field into ES index with mapping as below:

 "nested_field": {
    "properties": {
      "score": {
        "type": "double"
      },
      "airport": {
        "type": "keyword",
        "ignore_above": 1024
      }
    }
  }

The json file is read into the dataframe using spark.read.json("example.json"). Whats the right way to construct the Scala Map in this case?

Thanks for any help!

You can do it using the below sample code

import org.json4s.DefaultFormats
import org.json4s.jackson.JsonMethods.parse



  case class AirPortScores(airport: String, score: Double)
  case class JsonRulesHandler(airports: List[AirPortScores])

  val jsonString: String = """{"airports":[{"airport":"sfo","score":1},{"airport":"phx","score":1},{"airport":"sjc","score":1}]}"""

  def loadJsonString(JsonString: String): JsonRulesHandler = {
  implicit val formats: DefaultFormats.type = org.json4s.DefaultFormats
  parse(JsonString).extract[JsonRulesHandler]
}

val parsedJson: JsonRulesHandler = loadJsonString(jsonString)
parsedJson.airports.foreach(println)//you can select parsedJson.airport or scores
//below ouput
AirPortScores(sfo,1.0)
AirPortScores(phx,1.0)
AirPortScores(sjc,1.0)