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Posted to dev@flink.apache.org by "David Anderson (Jira)" <ji...@apache.org> on 2022/08/15 14:36:00 UTC

[jira] [Created] (FLINK-28975) withIdleness marks all streams from FLIP-27 sources as idle

David Anderson created FLINK-28975:
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             Summary: withIdleness marks all streams from FLIP-27 sources as idle
                 Key: FLINK-28975
                 URL: https://issues.apache.org/jira/browse/FLINK-28975
             Project: Flink
          Issue Type: Bug
          Components: API / DataStream
    Affects Versions: 1.15.1
            Reporter: David Anderson
             Fix For: 1.16.0


Using withIdleness with a FLIP-27 source leads to all of the streams from the source being marked idle, which in turn leads to incorrect results, e.g., from joins that rely on watermarks.

Quoting from the user ML thread:

In org.apache.flink.streaming.api.operators.SourceOperator, there are separate instances of WatermarksWithIdleness created for each split output and the main output. There is multiplexing of watermarks between split outputs but no multiplexing between split output and main output.
 
For a source such as org.apache.flink.connector.kafka.source.KafkaSource, {color:#353833}there is only output from splits and no output from main. Hence the main output will (after an initial timeout) be marked as idle.{color}
{color:#353833} {color}
{color:#353833}The implementation of {color}WatermarksWithIdleness is such that once an output is idle, it will periodically re-mark the output as idle. Since there is no multiplexing between split outputs and main output, the idle marks coming from main output will repeatedly set the output to idle even though there are events from the splits. Result is that the entire source is repeatedly marked as idle.


See this ML thread for more details: [https://lists.apache.org/thread/bbokccohs16tzkdtybqtv1vx76gqkqj4]

This probably affects older versions of Flink as well, but that needs to be verified.



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