Github user yhuai commented on a diff in the pull request:

    https://github.com/apache/spark/pull/14207#discussion_r73940848
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/command/ddl.scala ---
    @@ -521,31 +521,29 @@ object DDLUtils {
         table.partitionColumns.nonEmpty || 
table.properties.contains(DATASOURCE_SCHEMA_NUMPARTCOLS)
       }
     
    -  // A persisted data source table may not store its schema in the 
catalog. In this case, its schema
    -  // will be inferred at runtime when the table is referenced.
    -  def getSchemaFromTableProperties(metadata: CatalogTable): 
Option[StructType] = {
    +  // A persisted data source table always store its schema in the catalog.
    +  def getSchemaFromTableProperties(metadata: CatalogTable): StructType = {
         require(isDatasourceTable(metadata))
    +    val msgSchemaCorrupted = "Could not read schema from the metastore 
because it is corrupted."
         val props = metadata.properties
    -    if (props.isDefinedAt(DATASOURCE_SCHEMA)) {
    +    props.get(DATASOURCE_SCHEMA).map { schema =>
           // Originally, we used spark.sql.sources.schema to store the schema 
of a data source table.
           // After SPARK-6024, we removed this flag.
           // Although we are not using spark.sql.sources.schema any more, we 
need to still support.
    -      
props.get(DATASOURCE_SCHEMA).map(DataType.fromJson(_).asInstanceOf[StructType])
    -    } else {
    -      metadata.properties.get(DATASOURCE_SCHEMA_NUMPARTS).map { numParts =>
    +      DataType.fromJson(schema).asInstanceOf[StructType]
    +    } getOrElse {
    +      props.get(DATASOURCE_SCHEMA_NUMPARTS).map { numParts =>
             val parts = (0 until numParts.toInt).map { index =>
               val part = 
metadata.properties.get(s"$DATASOURCE_SCHEMA_PART_PREFIX$index").orNull
               if (part == null) {
    -            throw new AnalysisException(
    -              "Could not read schema from the metastore because it is 
corrupted " +
    -                s"(missing part $index of the schema, $numParts parts are 
expected).")
    +            throw new AnalysisException(msgSchemaCorrupted +
    +              s" (missing part $index of the schema, $numParts parts are 
expected).")
               }
    -
               part
             }
             // Stick all parts back to a single schema string.
             DataType.fromJson(parts.mkString).asInstanceOf[StructType]
    -      }
    +      } getOrElse(throw new AnalysisException(msgSchemaCorrupted))
    --- End diff --
    
    ah, this `getOrElse` is too far from the `get(DATASOURCE_SCHEMA)`... 
Actually, I prefer the `if/else`.


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