> - koodin9 posted a benchmark on #18003 [2]: with increasing IDs a conversion stays under 0.4 s, while random UUID keys on a 10,000-file table read every file and take 2 to 42 s depending on storage latency.
Were you able to test performance under commit contention with other writes (e.g. compaction)? Writing deletion vectors instead of equality deletes can generate significant contention. For delete-heavy low-latency commit workloads like Kafka Connect CDC, contention can result in many commit retries, increased latency, and decreased throughput. For context, my coworker Pachu wrote a blog post describing the contention in more detail <https://www.starburst.io/blog/equality-deletes-compaction-and-iceberg-v4/>
