[GitHub] [spark] amaliujia commented on a diff in pull request #36904: [SPARK-39506][SQL] Make CacheTable, isCached, UncacheTable, setCurrentCatalog, currentCatalog, listCatalogs 3l namespace compatible

[GitBox <gi...@apache.org>]

amaliujia commented on code in PR #36904:
URL: https://github.com/apache/spark/pull/36904#discussion_r902896484


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sql/core/src/main/scala/org/apache/spark/sql/catalog/interface.scala:
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@@ -26,6 +26,22 @@ import org.apache.spark.sql.catalyst.DefinedByConstructorParams
 // Note: all classes here are expected to be wrapped in Datasets and so must extend
 // DefinedByConstructorParams for the catalog to be able to create encoders for them.
 
+/**
+ * A catalog in Spark, as returned by the `listCatalogs` method defined in [[Catalog]].
+ *
+ * @param name name of the catalog
+ * @since 3.2.0
+ */
+class CatalogMetadata(
+    val name: String)

Review Comment:
   We might design the class like this 
   ```
   case class CatalogMetadata(
       name: String,
       description: String,
       owner: Option[String] = None,
       catalogType: Option[CatalogType] = None,
       createdAt: Option[Long] = None,
       createdBy: Option[String] = None,
       updatedAt: Option[Long] = None,
       updatedBy: Option[String] = None
   )
   ```
   
   However, I am not sure if there are extra information we can fetch for a catalog. Do you know if we have such rich metadata for a catalog in Spark?



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