Unity Catalog does not support Iceberg tables in Databricks. One workaround is to create the Iceberg tables using a deep clone operation. However, please note that these methods do not support features such as Merge-on-Read (MoR) or partition evoluti...
To use Apache Iceberg via the Hadoop Catalog on Databricks, it was found to work with the following settings:- Use a Databricks Runtime version of 12.2LTS or earlier. - Set the access mode to "No isolation shared" (the mode where Unity Catalog cannot...
To use Apache Iceberg via the Hadoop Catalog on Databricks, it was found to work with the following settings:- Use a Databricks Runtime version of 12.2LTS or earlier.- Set the access mode to "No isolation shared" (the mode where Unity Catalog cannot ...
To use Apache Iceberg via the Hadoop Catalog on Databricks, it was found to work with the following settings:- Use a Databricks Runtime version of 12.2LTS or earlier.- Set the access mode to "No isolation shared" (the mode where Unity Catalog cannot ...
SolutionBy applying the following measures, it should operate normally:Change org.apache.kafka.common.security.plain.PlainLoginModule to kafkashaded.org.apache.kafka.common.security.plain.PlainLoginModule.Modify kafka.bootstrap.servers and kafka.secu...
