[SPARK-22178][SQL] Refresh Persistent Views by REFRESH TABLE Command

## What changes were proposed in this pull request?
The underlying tables of persistent views are not refreshed when users issue the REFRESH TABLE command against the persistent views.

## How was this patch tested?
Added a test case

Author: gatorsmile <gatorsmile@gmail.com>

Closes #19405 from gatorsmile/refreshView.

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

@@ -474,13 +474,20 @@ class CatalogImpl(sparkSession: SparkSession) extends Catalog {
    */
   override def refreshTable(tableName: String): Unit = {
     val tableIdent = sparkSession.sessionState.sqlParser.parseTableIdentifier(tableName)
-    // Temp tables: refresh (or invalidate) any metadata/data cached in the plan recursively.
-    // Non-temp tables: refresh the metadata cache.
-    sessionCatalog.refreshTable(tableIdent)
+    val tableMetadata = sessionCatalog.getTempViewOrPermanentTableMetadata(tableIdent)
+    val table = sparkSession.table(tableIdent)
+
+    if (tableMetadata.tableType == CatalogTableType.VIEW) {
+      // Temp or persistent views: refresh (or invalidate) any metadata/data cached
+      // in the plan recursively.
+      table.queryExecution.analyzed.foreach(_.refresh())
+    } else {
+      // Non-temp tables: refresh the metadata cache.
+      sessionCatalog.refreshTable(tableIdent)
+    }
 
     // If this table is cached as an InMemoryRelation, drop the original
     // cached version and make the new version cached lazily.
-    val table = sparkSession.table(tableIdent)
     if (isCached(table)) {
       // Uncache the logicalPlan.
       sparkSession.sharedState.cacheManager.uncacheQuery(table, blocking = true)

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

@@ -31,14 +31,22 @@ import org.apache.spark.sql.test.SQLTestUtils
 class HiveMetadataCacheSuite extends QueryTest with SQLTestUtils with TestHiveSingleton {
 
   test("SPARK-16337 temporary view refresh") {
-    withTempView("view_refresh") {
+    checkRefreshView(isTemp = true)
+  }
+
+  test("view refresh") {
+    checkRefreshView(isTemp = false)
+  }
+
+  private def checkRefreshView(isTemp: Boolean) {
+    withView("view_refresh") {
       withTable("view_table") {
         // Create a Parquet directory
         spark.range(start = 0, end = 100, step = 1, numPartitions = 3)
           .write.saveAsTable("view_table")
 
-        // Read the table in
-        spark.table("view_table").filter("id > -1").createOrReplaceTempView("view_refresh")
+        val temp = if (isTemp) "TEMPORARY" else ""
+        spark.sql(s"CREATE $temp VIEW view_refresh AS SELECT * FROM view_table WHERE id > -1")
         assert(sql("select count(*) from view_refresh").first().getLong(0) == 100)
 
         // Delete a file using the Hadoop file system interface since the path returned by