Github user gatorsmile commented on a diff in the pull request: https://github.com/apache/spark/pull/14883#discussion_r77292196 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/ExternalCatalog.scala --- @@ -184,4 +184,17 @@ abstract class ExternalCatalog { def listFunctions(db: String, pattern: String): Seq[String] + // -------------------------------------------------------------------------- + // Resources + // -------------------------------------------------------------------------- + + /** + * Add a JAR resource to the underlying external catalog for DDL (e.g. CREATE TABLE) and DML + * (e.g., LOAD TABLE) operations. + * + * For example, when users create a Hive serde table, they can specify a custom + * Serializer-Deserializer (SerDe) class. When Hive metastore is unable to access the custom SerDe + * JAR (e.g., not on the Hive classpath), the JAR file must be added at runtime using this API. + */ + def addJar(path: String): Unit --- End diff -- We still need an `addJar` API in the `ExternalCatalog` for passing it to the underlying Hive metastore, even if we can specify jar in data source options. Here, we are not storing the `Jar` info in the metastore. The Hive metastore needs it for creating/loading the tables.
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