Spark - convert Map to a single-row DataFrame

Question

In my application I have a need to create a single-row DataFrame from a Map.

So that a Map like

(\"col1\" -> 5, \"col2\" -> 10, \"col3\" ->          


        

Answer 1

here you go :

val map: Map[String, Int] = Map("col1" -> 5, "col2" -> 6, "col3" -> 10)

val df = map.tail
  .foldLeft(Seq(map.head._2).toDF(map.head._1))((acc,curr) => acc.withColumn(curr._1,lit(curr._2)))


df.show()

+----+----+----+
|col1|col2|col3|
+----+----+----+
|   5|   6|  10|
+----+----+----+