Catalog and Schema Support

The Simba Apache Spark ODBC Connector supports both catalogs and schemas to make it easy for the connector to work with various ODBC applications. Since Spark only organizes tables into schemas/databases, the connector provides a synthetic catalog named SPARK under which all of the schemas/databases are organized. The connector also maps the ODBC schema to the Spark schema/database.

Note:

When connecting to a server that supports multiple catalogs, the connector no longer reports the catalog for schemas and tables as SPARK. The Spark server now reports the catalog. The only exception is the spark_system table which remains in the SPARK catalog.