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Posted to issues@spark.apache.org by "Cédric Chantepie (Jira)" <ji...@apache.org> on 2022/10/06 12:47:00 UTC

[jira] [Created] (SPARK-40678) ArrayType is not properly supported

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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