[SPARK-26571][SQL] Update Hive Serde mapping with canonical name of P…

…arquet and Orc FileFormat

## What changes were proposed in this pull request?

Currently Spark table maintains Hive catalog storage format, so that Hive client can read it.  In `HiveSerDe.scala`, Spark uses a mapping from its data source to HiveSerde. The mapping is old, we need to update with latest canonical name of Parquet and Orc FileFormat.

Otherwise the following queries will result in wrong Serde value in Hive table(default value `org.apache.hadoop.mapred.SequenceFileInputFormat`), and Hive client will fail to read the output table:
```
df.write.format("org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat").saveAsTable(..)
```

```
df.write.format("org.apache.spark.sql.execution.datasources.orc.OrcFileFormat").saveAsTable(..)
```

This minor PR is to fix the mapping.

## How was this patch tested?

Unit test.

Closes apache#23491 from gengliangwang/fixHiveSerdeMap.

Authored-by: Gengliang Wang <gengliang.wang@databricks.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
(cherry picked from commit 311f32f)
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>

sql/core/src/main/scala/org/apache/spark/sql/internal/HiveSerDe.scala

@@ -74,8 +74,10 @@ object HiveSerDe {
   def sourceToSerDe(source: String): Option[HiveSerDe] = {
     val key = source.toLowerCase(Locale.ROOT) match {
       case s if s.startsWith("org.apache.spark.sql.parquet") => "parquet"
+      case s if s.startsWith("org.apache.spark.sql.execution.datasources.parquet") => "parquet"
       case s if s.startsWith("org.apache.spark.sql.orc") => "orc"
       case s if s.startsWith("org.apache.spark.sql.hive.orc") => "orc"
+      case s if s.startsWith("org.apache.spark.sql.execution.datasources.orc") => "orc"
       case s if s.equals("orcfile") => "orc"
       case s if s.equals("parquetfile") => "parquet"
       case s if s.equals("avrofile") => "avro"

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

@@ -159,10 +159,28 @@ class DataSourceWithHiveMetastoreCatalogSuite
       "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe"
     )),
 
+    "org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat" -> ((
+      "org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat",
+      "org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat",
+      "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe"
+    )),
+
     "orc" -> ((
       "org.apache.hadoop.hive.ql.io.orc.OrcInputFormat",
       "org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat",
       "org.apache.hadoop.hive.ql.io.orc.OrcSerde"
+    )),
+
+    "org.apache.spark.sql.hive.orc" -> ((
+      "org.apache.hadoop.hive.ql.io.orc.OrcInputFormat",
+      "org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat",
+      "org.apache.hadoop.hive.ql.io.orc.OrcSerde"
+    )),
+
+    "org.apache.spark.sql.execution.datasources.orc.OrcFileFormat" -> ((
+      "org.apache.hadoop.hive.ql.io.orc.OrcInputFormat",
+      "org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat",
+      "org.apache.hadoop.hive.ql.io.orc.OrcSerde"
     ))
   ).foreach { case (provider, (inputFormat, outputFormat, serde)) =>
     test(s"Persist non-partitioned $provider relation into metastore as managed table") {

sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcSourceSuite.scala

@@ -21,11 +21,9 @@ import java.io.File
 
 import org.apache.spark.sql.{AnalysisException, Row}
 import org.apache.spark.sql.TestingUDT.{IntervalData, IntervalUDT}
-import org.apache.spark.sql.catalyst.TableIdentifier
 import org.apache.spark.sql.execution.datasources.orc.OrcSuite
 import org.apache.spark.sql.hive.HiveUtils
 import org.apache.spark.sql.hive.test.TestHiveSingleton
-import org.apache.spark.sql.internal.HiveSerDe
 import org.apache.spark.sql.types._
 import org.apache.spark.util.Utils
 
@@ -67,33 +65,6 @@ class HiveOrcSourceSuite extends OrcSuite with TestHiveSingleton {
        """.stripMargin)
   }
 
-  test("SPARK-22972: hive orc source") {
-    val tableName = "normal_orc_as_source_hive"
-    withTable(tableName) {
-      sql(
-        s"""
-          |CREATE TABLE $tableName
-          |USING org.apache.spark.sql.hive.orc
-          |OPTIONS (
-          |  PATH '${new File(orcTableAsDir.getAbsolutePath).toURI}'
-          |)
-        """.stripMargin)
-
-      val tableMetadata = spark.sessionState.catalog.getTableMetadata(
-        TableIdentifier(tableName))
-      assert(tableMetadata.storage.inputFormat ==
-        Option("org.apache.hadoop.hive.ql.io.orc.OrcInputFormat"))
-      assert(tableMetadata.storage.outputFormat ==
-        Option("org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat"))
-      assert(tableMetadata.storage.serde ==
-        Option("org.apache.hadoop.hive.ql.io.orc.OrcSerde"))
-      assert(HiveSerDe.sourceToSerDe("org.apache.spark.sql.hive.orc")
-        .equals(HiveSerDe.sourceToSerDe("orc")))
-      assert(HiveSerDe.sourceToSerDe("org.apache.spark.sql.orc")
-        .equals(HiveSerDe.sourceToSerDe("orc")))
-    }
-  }
-
   test("SPARK-19459/SPARK-18220: read char/varchar column written by Hive") {
     val location = Utils.createTempDir()
     val uri = location.toURI