MaxGekk commented on PR #44665:
URL: https://github.com/apache/spark/pull/44665#issuecomment-2009888375
> You never know how people will use Spark and I'm not sure why it's
necessary to ban this use case.
I believe it is not too bad to ban such output in any case (this is even
insecure). @cloud-fan Do you see any use-case for that?
Array:
```scala
val valueSchema = StructType(Seq(StructField("age", LongType),
StructField("name", StringType), StructField("scores", ArrayType(LongType))))
val schema = StructType(Seq(StructField("key", LongType),
StructField("value", valueSchema)))
val df = spark.createDataFrame(rows, schema)
df.select(to_csv($"value")).show(false)
+--------------------------------------------------------------------------+
|to_csv(value) |
+--------------------------------------------------------------------------+
|2,Alice,org.apache.spark.sql.catalyst.expressions.UnsafeArrayData@e7bb2e54|
+--------------------------------------------------------------------------+
```
Map:
```scala
+------------------------------------------------------------------------+
|to_csv(value) |
+------------------------------------------------------------------------+
|2,Alice,org.apache.spark.sql.catalyst.expressions.UnsafeMapData@65ab9790|
+------------------------------------------------------------------------+
```
Struct:
```scala
val rows = new java.util.ArrayList[Row]()
rows.add(Row(1L, Row(2L, "Alice", Row(100L, 200L, null))))
val valueSchema = StructType(Seq(StructField("age", LongType),
StructField("name", StringType), StructField("scores",
StructType(Seq(StructField("id1", LongType), StructField("id2", LongType),
StructField("id3", LongType))))))
val schema = StructType(Seq(StructField("key", LongType),
StructField("value", valueSchema)))
val df = spark.createDataFrame(rows, schema)
+---------------------+
|to_csv(value) |
+---------------------+
|2,Alice,"[4,64,c8,0]"|
+---------------------+
```
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