Hi Lake,
When the Flink doc mentions a state entry in RocksDB, we mean one key/value
pair stored by user code over any keyed state API
(keyed context in keyed operators obtained e.g. from keyBy()
transformation).
In case of map or list, the doc means map key/value and list element.
- value/aggreg
Hi Lake
Flink leverage RocksDB's background compaction mechanism to filter out-of-TTL
entries (by comparing with current timestamp provided from RocksDB's
time_provider) to not let them stay in newly compacted data.
This would iterator over data entries with FlinkCompactionFilter::FilterV2 [1],