Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/14207#discussion_r73940895
--- 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 {
--- End diff --
I am not sure if `getOrElse` makes the code easier to follow.
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