JSON conversion of ArrayType is not properly supported in Spark 3.2/2.13

import org.apache.spark.sql.SparkSession

case class KeyValue(key: String, value: Array[Byte])

val spark = SparkSession.builder().master("local[1]").appName("test").getOrCreate()

import spark.implicits._

val df = Seq(Array(KeyValue("foo", "bar".getBytes))).toDF()

df.foreach(r => println(r.json))

[{foo, bar}]

java.lang.IllegalArgumentException: Failed to convert value ArraySeq([foo,[B@dcdb68f]) (class of class scala.collection.mutable.ArraySeq$ofRef}) with the type of ArrayType(Seq(StructField(key,StringType,false), StructField(value,BinaryType,false)),true) to JSON.
	at org.apache.spark.sql.Row.toJson$1(Row.scala:604)
	at org.apache.spark.sql.Row.jsonValue(Row.scala:613)
	at org.apache.spark.sql.Row.jsonValue$(Row.scala:552)
	at org.apache.spark.sql.catalyst.expressions.GenericRow.jsonValue(rows.scala:166)
	at org.apache.spark.sql.Row.json(Row.scala:535)
	at org.apache.spark.sql.Row.json$(Row.scala:535)
	at org.apache.spark.sql.catalyst.expressions.GenericRow.json(rows.scala:166)