[SPARK-50364][SQL] Implement serialization for LocalDateTime type in Row.jsonValue

### What changes were proposed in this pull request?
In this Pull request, I propose to add a LocalDateTime serializer to the Row.jsonValue method
```scala
    case (d: LocalDateTime, _) => JString(timestampFormatter.format(d))
```
In order to enable JSON serialization of _TimestampNTZType_ columns

### Why are the changes needed?
Currently trying to serialize a Row containing a _TimestampNTZType_ column results in an error:
```java
[FAILED_ROW_TO_JSON] Failed to convert the row value '2018-05-14T12:13' of the class class java.time.LocalDateTime to the target SQL type "TIMESTAMPNTZTYPE" in the JSON format. SQLSTATE: 2203G
org.apache.spark.SparkIllegalArgumentException: [FAILED_ROW_TO_JSON] Failed to convert the row value '2018-05-14T12:13' of the class class java.time.LocalDateTime to the target SQL type "TIMESTAMPNTZTYPE" in the JSON format. SQLSTATE: 2203G
	at org.apache.spark.sql.Row.toJson$1(Row.scala:663)
	at org.apache.spark.sql.Row.toJson$1(Row.scala:651)
	at org.apache.spark.sql.Row.jsonValue(Row.scala:665)
	at org.apache.spark.sql.Row.jsonValue$(Row.scala:598)
	at org.apache.spark.sql.catalyst.expressions.GenericRow.jsonValue(rows.scala:28)
	at org.apache.spark.sql.RowJsonSuite.$anonfun$testJson$1(RowJsonSuite.scala:41)
```

How to reproduce the issue:
```scala
import org.apache.spark.sql.Row
import java.time.LocalDateTime
val r = Row.fromSeq(LocalDateTime.of(2024,8,10,12,33) :: Nil)
r.json
r.prettyJson
```

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Tests were added to the already existing RowJsonSuite.scala class

### Was this patch authored or co-authored using generative AI tooling?
No

Closes apache#48905 from karim-ramadan/bugfix/LocalDateTime-support-in-Row-json.

Authored-by: Karim Ramadan <[email protected]>
Signed-off-by: Max Gekk <[email protected]>

Author: krm95

sql/api/src/main/scala/org/apache/spark/sql/Row.scala

@@ -18,7 +18,7 @@
 package org.apache.spark.sql
 
 import java.sql.{Date, Timestamp}
-import java.time.{Instant, LocalDate}
+import java.time.{Instant, LocalDate, LocalDateTime}
 import java.util.Base64
 
 import scala.collection.mutable
@@ -627,6 +627,7 @@ trait Row extends Serializable {
       case (d: Date, _) => JString(dateFormatter.format(d))
       case (i: Instant, _) => JString(timestampFormatter.format(i))
       case (t: Timestamp, _) => JString(timestampFormatter.format(t))
+      case (d: LocalDateTime, _) => JString(timestampFormatter.format(d))
       case (i: CalendarInterval, _) => JString(i.toString)
       case (a: Array[_], ArrayType(elementType, _)) =>
         iteratorToJsonArray(a.iterator, elementType)

sql/catalyst/src/test/scala/org/apache/spark/sql/RowJsonSuite.scala

@@ -17,7 +17,7 @@
 package org.apache.spark.sql
 
 import java.sql.{Date, Timestamp}
-import java.time.LocalDate
+import java.time.{LocalDate, LocalDateTime}
 
 import org.json4s.JsonAST.{JArray, JBool, JDecimal, JDouble, JLong, JNull, JObject, JString, JValue}
 
@@ -84,6 +84,7 @@ class RowJsonSuite extends SparkFunSuite {
     Timestamp.valueOf("2017-05-30 10:22:03.00").toInstant,
     TimestampType,
     JString("2017-05-30 10:22:03"))
+  testJson(LocalDateTime.of(2018, 5, 14, 12, 13), TimestampNTZType, JString("2018-05-14 12:13:00"))
 
   // Complex types
   testJson(