from_avro function does not deserialize the Avro record of a struct column type correctly

import org.apache.spark.sql.types._
import org.apache.spark.sql.avro._
import org.apache.spark.sql.functions._


spark.version

val df = Seq((1, "John Doe", 30), (2, "Mary Jane", 25), (3, "Josh Duke", 50)).toDF("id", "name", "age")

val dfStruct = df.withColumn("value", struct("name","age"))

dfStruct.show
dfStruct.printSchema

val dfKV = dfStruct.select(to_avro('id).as("key"), to_avro('value).as("value"))

val expectedSchema = StructType(Seq(StructField("name", StringType, true),StructField("age", IntegerType, false)))

val avroTypeStruct = SchemaConverters.toAvroType(expectedSchema).toString

val avroTypeStr = s"""
 |{
 | "type": "int",
 | "name": "key"
 |}
 """.stripMargin


dfKV.select(from_avro('key, avroTypeStr)).show
dfKV.select(from_avro('value, avroTypeStruct)).show

// output for the last statement and that is not correct
+---------------------------------------------+
|from_avro(value, struct<name:string,age:int>)|
+---------------------------------------------+
| [Josh Duke, 50]|
| [Josh Duke, 50]|
| [Josh Duke, 50]|
+---------------------------------------------+