[SPARK-27592][SQL][TEST][FOLLOW-UP] Test set the partitioned bucketed data source table SerDe correctly

### What changes were proposed in this pull request?
This PR add test for set the partitioned bucketed data source table SerDe correctly.

### Why are the changes needed?
Improve test.

### Does this PR introduce any user-facing change?
No.

### How was this patch tested?
N/A

Closes #25591 from wangyum/SPARK-27592-f1.

Authored-by: Yuming Wang <yumwang@ebay.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>

sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveMetastoreCatalogSuite.scala

@@ -320,4 +320,42 @@ class DataSourceWithHiveMetastoreCatalogSuite
       assert(sparkSession.metadataHive.runSqlHive("SELECT * FROM t") === Seq("1\t2"))
     }
   }
+
+  test("SPARK-27592 set the partitioned bucketed data source table SerDe correctly") {
+    val provider = "parquet"
+    withTable("t") {
+      spark.sql(
+        s"""
+           |CREATE TABLE t
+           |USING $provider
+           |PARTITIONED BY (p)
+           |CLUSTERED BY (key)
+           |SORTED BY (value)
+           |INTO 2 BUCKETS
+           |AS SELECT key, value, cast(key % 3 as string) as p FROM src
+        """.stripMargin)
+
+      val metadata = sessionState.catalog.getTableMetadata(TableIdentifier("t", Some("default")))
+
+      val hiveSerDe = HiveSerDe.sourceToSerDe(provider).get
+      assert(metadata.storage.serde === hiveSerDe.serde)
+      assert(metadata.storage.inputFormat === hiveSerDe.inputFormat)
+      assert(metadata.storage.outputFormat === hiveSerDe.outputFormat)
+
+      // It's a bucketed table at Spark side
+      assert(sql("DESC FORMATTED t").collect().containsSlice(
+        Seq(Row("Num Buckets", "2", ""), Row("Bucket Columns", "[`key`]", ""))
+      ))
+      checkAnswer(table("t").select("key", "value"), table("src"))
+
+      // It's not a bucketed table at Hive side
+      val hiveSide = sparkSession.metadataHive.runSqlHive("DESC FORMATTED t")
+      assert(hiveSide.contains("Num Buckets:        \t-1                  \t "))
+      assert(hiveSide.contains("Bucket Columns:     \t[]                  \t "))
+      assert(hiveSide.contains("\tspark.sql.sources.schema.numBuckets\t2                   "))
+      assert(hiveSide.contains("\tspark.sql.sources.schema.bucketCol.0\tkey                 "))
+      assert(sparkSession.metadataHive.runSqlHive("SELECT count(*) FROM t") ===
+        Seq(table("src").count().toString))
+    }
+  }
 }