geruh opened a new pull request, #14407: URL: https://github.com/apache/iceberg/pull/14407
This PR adds support for default values in Spark. During the conversion of an Iceberg schema to Spark's StructType, default values are now passed through to Spark's column metadata using the `CURRENT_DEFAULT` and `EXISTS_DEFAULT` keys that Spark recognizes. The changes extend `TypeToSparkType()` function to extract default values from Iceberg fields and convert them to Spark SQL string representations, enabling Spark to understand and utilize the defaults that were defined in Iceberg. Tests for initial defaults weren't added here since that functionality already works without these changes. So I'll follow up with some to be added to this new test suite. Note: The current tests focus on default Write capabilities as partial column inserts for DSV2 tables aren't available until Spark 4.1.0 per https://github.com/apache/spark/pull/50044. -- 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]
