Cédric Chantepie created SPARK-40678:
----------------------------------------
Summary: ArrayType is not properly supported
Key: SPARK-40678
URL: https://issues.apache.org/jira/browse/SPARK-40678
Project: Spark
Issue Type: Bug
Components: Input/Output
Affects Versions: 3.2.0
Reporter: Cédric Chantepie
Values with `ArrayType` are no longer properly supported; e.g.
```
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))
```
Expected:
```
[{foo, bar}]
```
Encountered:
```
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)
```
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