Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/18849#discussion_r134000329
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala ---
@@ -1175,6 +1205,27 @@ private[spark] class HiveExternalCatalog(conf:
SparkConf, hadoopConf: Configurat
client.listFunctions(db, pattern)
}
+ /** Detect whether a table is stored with Hive-compatible metadata. */
+ private def isHiveCompatible(table: CatalogTable): Boolean = {
--- End diff --
And, also, if you look at `createDataSourceTable`, it does more checks that
your example to decide whether a table is Hive-compatible or not. And the
ultimate check is whether the Hive metastore accepts the table (exception means
Spark tries to create the table again, as non-compatible).
So, again, you cannot detect compatibility by just checking the schema.
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