Reputation: 1009
I have the following data:
d = Some(List(Map(id -> 1, n -> Hi), Map(id -> 2, n -> Hello)))
I would like to transform it into a dataframe like the following:
+--------+
|id|n |
+--------+
|1 |Hi |
+--------+
|2 |Hello|
+--------+
I tried the following:
import spark.implicits._
val df = d
.map( m => (m.get("id"),m.get("n")))
.toDF("id", "n")
But im getting:
error: value get is not a member of Any
.map( m => (m.get("id"),m.get("n")))
Upvotes: 0
Views: 62
Reputation: 3733
Your top level here is Option and i think thats the reason why you cant handle it with single map. I managed to do it with something like this:
import spark.implicits._
val d = Some(List(Map("id" -> "1", "n" -> "Hi"), Map("id" -> "2", "n" -> "Hello")))
val data = d.fold (List.empty [(Option [String], Option [String])]) (_.map (m => (m.get ("id"), m.get ("n"))))
val df = data.toDF("id", "n").show()
Output:
+---+-----+
| id| n|
+---+-----+
| 1| Hi|
| 2|Hello|
+---+-----+
Upvotes: 2