I am trying to ingest data into iceberg table using spark streaming. There are no multiple writers to same data at the moment. According to iceberg api <https://iceberg.apache.org/javadoc/0.11.0/org/apache/iceberg/IsolationLevel.html#:%7E:text=Both%20of%20them%20provide%20a,environments%20with%20many%20concurrent%20writers.> default isolation level for table is serializable . I want to understand if there is only a single application (single spark streaming job in my case) writing to iceberg table is there any advantage or disadvantage over using serializable or a snapshot isolation ? Is there any performance impact of using serializable when only one application is writing to table? Also it seems iceberg allows all writers to write into snapshot and use OCC to decide if one needs to retry because it was late. In this case how it is serializable at all? isn't serilizability achieved via pessimistic concurrency control? Would like to understand how iceberg implement serializable isolation level and how it is different than snapshot isolation ?
Thanks
