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Is there a way to set a table column as an identifier field and required field using Spark DDL? I’m not seeing anything here … https://iceberg.apache.org/docs/latest/spark-ddl/ … which I assume means that I would need to use the Iceberg lib directly?
This same question came up in OSS slack recently. There are no docs on the "not null" spark syntax for making a column required in the Spark docs or the iceberg docs.
The text was updated successfully, but these errors were encountered:
This same question came up in OSS slack recently. There are no docs on the "not null" spark syntax for making a column required in the Spark docs or the iceberg docs.
The text was updated successfully, but these errors were encountered: