Explode array data into rows in spark [duplicate]

Answer 1

You can use explode function Below is the simple example for your case

import org.apache.spark.sql.functions._
import spark.implicits._

  val data = spark.sparkContext.parallelize(Seq(
    (1, "A", List(1,2,3)),
    (2, "B", List(3, 5))
  )).toDF("FieldA", "FieldB", "FieldC")

    data.withColumn("ExplodedField", explode($"FieldC")).drop("FieldC")

Hope this helps!