nastra commented on issue #14557: URL: https://github.com/apache/iceberg/issues/14557#issuecomment-3541152372
> This method might work, but the subsequent views have all been converted to Iceberg views, which doesn't quite align with our expectations. Is there any way to create a Hive view while using spark.sql.catalog.spark_catalog = org.apache.iceberg.spark.SparkSessionCatalog? We actually don't need to use Iceberg views, just some simple column transformations. If you're going to use an Iceberg catalog, then that will create Iceberg views as the `CREATE VIEW` SQL syntax with the `SparkSessionCatalog` and a newer Iceberg version doesn't provide a way to bypass creating an Iceberg view -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
