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Piotr Nowojski commented on FLINK-14814: ---------------------------------------- Ok, sounds good [~lining]. One thing: > pool usage aggregated by max, min, and the average in every vertex for users > to judge vertex Do we need all of the aggregates? Max & min for example? Check my explanation in FLINK-14815 for why I think min/max aggregate for pool usage might be redundant to just average. On the other hand presenting too many metrics has couple of potential issues: # information spam to a user (why show him something that he doesn't need?) # potential performance implications? Even if not now, but in the future, if we add too many metrics now, it will be difficult to drop them in the future. > Show the vertex that produces the backpressure source in the job > ---------------------------------------------------------------- > > Key: FLINK-14814 > URL: https://issues.apache.org/jira/browse/FLINK-14814 > Project: Flink > Issue Type: Sub-task > Components: Runtime / Metrics, Runtime / Network, Runtime / REST, > Runtime / Web Frontend > Reporter: lining > Assignee: lining > Priority: Major > Attachments: 2B0E910D-6D95-401F-B450-1F6B1AFB9BEA.png > > > By checking the status of output and input buffer pools exposed via > FLINK-14815 (output buffer empty, input buffer full) it is possible to > display which node is a source of the back pressure. This information could > be displayed/accessible in the Web Frontend. -- This message was sent by Atlassian Jira (v8.3.4#803005)