Thanks Sungwoo, Regarding performance testing, am I correct to assume that the "original" Hive table is an external one?
Since Iceberg supports deletes, it might be worth comparing it against Hive ACID. We could generate 10-20% of the updates and measure the read performance overhead. Additionally, there's a 1 Trillion Row Challenge [1], [2] that we could try, extending it with the delete operations (see Impala talk on Iceberg Summit 2025). In any case, it would be helpful to create a roadmap or a Jira EPIC for the Default Table Format migration and populate it with the key tasks we think are essential before making the switch. 1. https://www.morling.dev/blog/one-billion-row-challenge/ 2. https://medium.com/dbsql-sme-engineering/1-trillion-row-challenge-on-databricks-sql-41a82fac5bed Regards, Denys
