[SPARK-42164][CORE] Register partitioned-table-related classes to KryoSerializer

### What changes were proposed in this pull request?

This PR aims to register partitioned-table-related classes to `KryoSerializer`.
Specifically, `CREATE TABLE` and `MSCK REPAIR TABLE` uses this classes.

### Why are the changes needed?

To support partitioned-tables more easily with `KryoSerializer`.  Previously, it fails like the following.

```
java.lang.IllegalArgumentException: Class is not registered:
org.apache.spark.util.HadoopFSUtils$SerializableBlockLocation
```

```
java.lang.IllegalArgumentException: Class is not registered:
org.apache.spark.util.HadoopFSUtils$SerializableFileStatus
```

```
java.lang.IllegalArgumentException: Class is not registered:
org.apache.spark.sql.execution.command.PartitionStatistics
```

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Pass the CIs and manually tests.

**TEST TABLE**
```
$ tree /tmp/t
/tmp/t
├── p=1
│   └── users.orc
├── p=10
│   └── users.orc
├── p=11
│   └── users.orc
├── p=2
│   └── users.orc
├── p=3
│   └── users.orc
├── p=4
│   └── users.orc
├── p=5
│   └── users.orc
├── p=6
│   └── users.orc
├── p=7
│   └── users.orc
├── p=8
│   └── users.orc
└── p=9
    └── users.orc
```

**CREATE PARTITIONED TABLES AND RECOVER PARTITIONS**
```
$ bin/spark-shell -c spark.kryo.registrationRequired=true -c spark.serializer=org.apache.spark.serializer.KryoSerializer -c spark.sql.sources.parallelPartitionDiscovery.threshold=1

scala> sql("CREATE TABLE t USING ORC LOCATION '/tmp/t'").show()
++
||
++
++

scala> sql("MSCK REPAIR TABLE t").show()
++
||
++
++
```

Closes apache#39713 from dongjoon-hyun/SPARK-42164.

Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>

Author: dongjoon-hyun

core/src/main/scala/org/apache/spark/serializer/KryoSerializer.scala

@@ -510,6 +510,10 @@ private[serializer] object KryoSerializer {
   // SQL / ML / MLlib classes once and then re-use that filtered list in newInstance() calls.
   private lazy val loadableSparkClasses: Seq[Class[_]] = {
     Seq(
+      "org.apache.spark.util.HadoopFSUtils$SerializableBlockLocation",
+      "[Lorg.apache.spark.util.HadoopFSUtils$SerializableBlockLocation;",
+      "org.apache.spark.util.HadoopFSUtils$SerializableFileStatus",
+
       "org.apache.spark.sql.catalyst.expressions.BoundReference",
       "org.apache.spark.sql.catalyst.expressions.SortOrder",
       "[Lorg.apache.spark.sql.catalyst.expressions.SortOrder;",
@@ -536,6 +540,7 @@ private[serializer] object KryoSerializer {
       "org.apache.spark.sql.types.DecimalType",
       "org.apache.spark.sql.types.Decimal$DecimalAsIfIntegral$",
       "org.apache.spark.sql.types.Decimal$DecimalIsFractional$",
+      "org.apache.spark.sql.execution.command.PartitionStatistics",
       "org.apache.spark.sql.execution.datasources.v2.DataWritingSparkTaskResult",
       "org.apache.spark.sql.execution.joins.EmptyHashedRelation$",
       "org.apache.spark.sql.execution.joins.LongHashedRelation",