[jira] [Created] (FLINK-4576) Low Watermark Service in JobManager for Streaming Sources

["Tzu-Li (Gordon) Tai (JIRA)" <ji...@apache.org>]

Tzu-Li (Gordon) Tai created FLINK-4576:
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             Summary: Low Watermark Service in JobManager for Streaming Sources
                 Key: FLINK-4576
                 URL: https://issues.apache.org/jira/browse/FLINK-4576
             Project: Flink
          Issue Type: New Feature
          Components: JobManager, Streaming, TaskManager
            Reporter: Tzu-Li (Gordon) Tai
             Fix For: 1.2.0


As per discussion in FLINK-4341 by [~aljoscha] and [~StephanEwen], we need a low watermark service in the JobManager to support transparent resharding / partition discovery for our Kafka and Kinesis consumers (and any future streaming connectors in general for which the external system may elastically scale up and down independently of the parallelism of sources in Flink).

The proposed implementation, from a high-level: a {{LowWatermarkCoordinator}} will be added to execution graphs, periodically triggering only the source vertices with a {{RetrieveLowWatermark}} message. The tasks reply to the JobManager through the actor gateway (or the new interface after FLINK-4456 gets merged) with a {{ReplyLowWatermark}} message. When the coordinator collects all low watermarks for a particular source vertex and determines the aggregated low watermark for this round (accounting only values that are larger than the aggregated low watermark of the last round), it sends a {{NotifyNewLowWatermark}} message to the source vertex's tasks.

The messages will only be relevant to tasks that implement an internal {{LowWatermarkCooperatingTask}} interface. For now, only {{SourceStreamTask}} should implement {{LowWatermarkCooperatingTask}}.

Source functions should implement a public {{LowWatermarkListener}} interface if they wish to get notified of the aggregated low watermarks across subtasks. Connectors like the Kinesis consumer can choose to emit this watermark if the subtask currently does not have any shards, so that downstream operators may still properly advance time windows (implementation for this is tracked as a separate issue).

Overall, the service will include -
New messages between JobManager <-> TaskManager:
{{RetrieveLowWatermark(jobId, jobVertexId, taskId, timestamp)}}
{{ReplyLowWatermark(jobId, jobVertexId, taskId, currentLowWatermark)}}
{{NotifyNewLowWatermark(jobId, jobVertexId, taskId, newLowWatermark)}}
New internal task interface {{LowWatermarkCooperatingTask}} in flink-runtime
New public interface {{LowWatermarkListener}} in flink-streaming-java



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