There's this hidden feature of Spark SQL to define a schema using so-called Schema DSL (i.e. without many round brackets and alike).
import org.apache.spark.sql.types._
val name = new StructType().add($"name".string)
scala> println(name.simpleString)
struct<name:string>
val address = new StructType().add($"address".string)
scala> println(address.simpleString)
struct<address:string>
val schema = new StructType().add("abc", name).add("pqr", address)
scala> println(schema.simpleString)
struct<abc:struct<name:string>,pqr:struct<address:string>>
scala> schema.simpleString == "struct<abc:struct<name:string>,pqr:struct<address:string>>"
res4: Boolean = true
scala> schema.printTreeString
root
|-- abc: struct (nullable = true)
| |-- name: string (nullable = true)
|-- pqr: struct (nullable = true)
| |-- address: string (nullable = true)