How to split multi-value column into separate rows using typed Dataset?

Question

I am facing an issue of how to split a multi-value column, i.e. List[String], into separate rows.

The initial dataset has following types: Dataset

Answer 1

You can use explode:

df.withColumn("property", explode($"property"))

Example:

val df = Seq((1, List("a", "b"))).toDF("A", "B")   
// df: org.apache.spark.sql.DataFrame = [A: int, B: array]

df.withColumn("B", explode($"B")).show
+---+---+
|  A|  B|
+---+---+
|  1|  a|
|  1|  b|
+---+---+