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https://issues.apache.org/jira/browse/SPARK-40678?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17687573#comment-17687573
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Wei Guo commented on SPARK-40678:
---------------------------------
Fixed by PR 38154 https://github.com/apache/spark/pull/38154
> JSON conversion of ArrayType is not properly supported in Spark 3.2/2.13
> ------------------------------------------------------------------------
>
> 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
> Priority: Major
>
> In Spark 3.2 (Scala 2.13), values with {{ArrayType}} are no longer properly
> support with JSON; e.g.
> {noformat}
> 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))
> {noformat}
> Expected:
> {noformat}
> [{foo, bar}]
> {noformat}
> Encountered:
> {noformat}
> 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)
> {noformat}
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