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Yu Li commented on FLINK-12005: ------------------------------- Update the ML discussion link for better history tracking > [State TTL] Event time support > ------------------------------ > > Key: FLINK-12005 > URL: https://issues.apache.org/jira/browse/FLINK-12005 > Project: Flink > Issue Type: New Feature > Components: API / DataStream, Runtime / State Backends > Reporter: Andrey Zagrebin > Priority: Not a Priority > Labels: auto-deprioritized-major, auto-deprioritized-minor, > auto-unassigned > > The event time is opted for in StateTtlConfig by setting > TtlTimeCharacteristic.EventTime. > To enable event time support, the updated watermark needs to be passed to the > state backend, shared with TTL state wrappers and additional cleanup > strategies (snapshot transformers and compaction filter). > h3. Event time provider > Additional implementation of TtlTimeProvider, which holds current watermark, > needs to be passed to the state backend at the moment of its creation in > StreamTaskStateInitializerImpl. There several ways to update watermark in > this implementation of TtlTimeProvider: > * in InternalTimeServiceManager.advanceWatermark explicitly > * InternalTimeServiceManager/InternalTimerServiceImpl could be refactored to > use shared EventTimeService which holds current updatable watermark and > wrapped by TtlTimeProvider > The TTL state wrapping factory should create TTL state wrappers and snapshot > transformers with TtlTimeProvider selected by TtlTimeCharacteristic. > h3. RocksDB TTL compaction filter > The RocksDB TTL compaction filter factory needs to get selected > TtlTimeProvider when it gets configured. There are two ways: > * make it volatile and settable in > RocksDbTtlCompactFiltersManager.TimeProviderWrapper, track it in > RocksDbTtlCompactFiltersManager along with FlinkCompactionFilterFactory to > configure later before configuring FlinkCompactionFilterFactory. > * Move FlinkCompactionFilter.TimeProvider from FlinkCompactionFilterFactory > to ConfigHolder and set selected TtlTimeProvider with the Config. > The second option does not use volatile variable and should be more > performant but needs changing RocksDB java client and either releasing new > version FRocksDB or Flink RocksDB extensions. -- This message was sent by Atlassian Jira (v8.20.1#820001)