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ASF GitHub Bot commented on FLINK-5479: --------------------------------------- Github user tweise commented on the issue: https://github.com/apache/flink/pull/5634 This is a good proposal, it should also survive a general connector refactor that will be necessary to address other code duplication. The Kinesis ticket is https://issues.apache.org/jira/browse/FLINK-5697 and I will add a reference back to this thread. I would be happy to add the watermark support based on the revised generator. Perhaps it would be good to recognize the special "idle" watermark in SourceContext also? > Per-partition watermarks in FlinkKafkaConsumer should consider idle partitions > ------------------------------------------------------------------------------ > > Key: FLINK-5479 > URL: https://issues.apache.org/jira/browse/FLINK-5479 > Project: Flink > Issue Type: Improvement > Components: Kafka Connector > Reporter: Tzu-Li (Gordon) Tai > Priority: Blocker > Fix For: 1.6.0 > > > Reported in ML: > http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Kafka-topic-partition-skewness-causes-watermark-not-being-emitted-td11008.html > Similar to what's happening to idle sources blocking watermark progression in > downstream operators (see FLINK-5017), the per-partition watermark mechanism > in {{FlinkKafkaConsumer}} is also being blocked of progressing watermarks > when a partition is idle. The watermark of idle partitions is always > {{Long.MIN_VALUE}}, therefore the overall min watermark across all partitions > of a consumer subtask will never proceed. > It's normally not a common case to have Kafka partitions not producing any > data, but it'll probably be good to handle this as well. I think we should > have a localized solution similar to FLINK-5017 for the per-partition > watermarks in {{AbstractFetcher}}. -- This message was sent by Atlassian JIRA (v7.6.3#76005)