Converting RDD to JSON Object

I have an RDD of type RDD [(String, List [String])].

Example:

(FRUIT, List(Apple,Banana,Mango))
(VEGETABLE, List(Potato,Tomato))

      

I want to convert the above output to a json object as shown below.

{
  "categories": [
    {
      "name": "FRUIT",
      "nodes": [
        {
          "name": "Apple",
          "isInTopList": false
        },
        {
          "name": "Banana",
          "isInTopList": false
        },
        {
          "name": "Mango",
          "isInTopList": false
        }
      ]
    },
    {
      "name": "VEGETABLE",
      "nodes": [
        {
          "name": "POTATO",
          "isInTopList": false
        },
        {
          "name": "TOMATO",
          "isInTopList": false
        },
      ]
    }
  ]
}

      

Please suggest the best way to do this.

NOTE. "isInTopList": false

is always constant and should be there with every element in the jsonobject.

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2 answers


I first used the following code to reproduce the scenario you described:

val sampleArray = Array(
("FRUIT", List("Apple", "Banana", "Mango")),
("VEGETABLE", List("Potato", "Tomato")))

val sampleRdd = sc.parallelize(sampleArray)
sampleRdd.foreach(println) // Printing the result

      

I am now using the json4s Scala library to convert this RDD to the JSON structure you requested:



import org.json4s.native.JsonMethods._
import org.json4s.JsonDSL.WithDouble._

val json = "categories" -> sampleRdd.collect().toList.map{
case (name, nodes) =>
  ("name", name) ~
  ("nodes", nodes.map{
    name => ("name", name)
  })
}

println(compact(render(json))) // Printing the rendered JSON

      

Result:

{"categories":[{"name":"FRUIT","nodes":[{"name":"Apple"},{"name":"Banana"},{"name":"Mango"}]},{"name":"VEGETABLE","nodes":[{"name":"Potato"},{"name":"Tomato"}]}]}

      

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Since you want one JSON for you for the entire RDU, I would start doing Rdd.collect

. Be careful to match your set to memory, as this will return the data back to the driver.

To get json, just use a library to move your objects. I love Json4s due to its simple internal structure and practical, clean operators. Here's an example from a website that shows how to walk through nested structures (specifically lists):



object JsonExample extends App {
  import org.json4s._
  import org.json4s.JsonDSL._
  import org.json4s.jackson.JsonMethods._

  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(23, List(2, 45, 34, 23, 3, 5)), Winner(54, List(52, 3, 12, 11, 18, 22)))
  val lotto = Lotto(5, List(2, 45, 34, 23, 7, 5, 3), winners, None)

  val json =
    ("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(json)))
}

      

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