This is similar in spirit to CASSANDRA-9779, but on a per-operation basis. There are many workloads that include a mixture of new insertions and overwrites. In some cases, logic outside of Cassandra guarantees that an inserted row does not already exist. For example, the primary key may include a UUID or another form of unique id (from, say, Snowflake).
When denormalizing manually, users can take advantage of this knowledge to avoid doing a read-before-write, but with materialized views they don't have this option. When the newly inserted row also happens to be a new partition, MVs are still pretty efficient, because the bloom filters allow us to quickly short circuit the read. However, when new rows are inserted to existing partitions, the reads can become costly.
I'd like to consider exposing a way for the user to indicate that an inserted row is new on a per-operation basis. Internally, this could potentially use the mechanism from CASSANDRA-9779, depending on how that's implemented. As far as the API goes, I'm not sure. Perhaps an "assertion" clause in inserts would work well:
The choice of API should also take into consideration potential future enhancements along these lines. For example, we might want to support asserting that a given column has a known current value (as another means of avoiding read-before-writes).
If we implement this, we should make sure that hints, logged batches, and commitlog replay handle this safely. If the original timestamp is used for replay, I believe it should be idempotent (during the gc_grace window), but I could be missing something.