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Zhu Zhu commented on FLINK-31144: --------------------------------- Thanks for reporting this issue! [~jto] What's the the parallelism of the job vertices? Unfortunately I cannot tell it from the attached image. IIUC, the problem is caused by vertices with large parallelism and ALL-to-ALL edges. If so, changing the `if` condition of [this logic|https://github.com/apache/flink/blob/43f419d0eccba86ecc8040fa6f521148f1e358ff/flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/DefaultPreferredLocationsRetriever.java#L98-L102)] to {{consumedPartitionGroup.size() > MAX_DISTINCT_CONSUMERS_TO_CONSIDER}} may help. Would you give a try? > Slow scheduling on large-scale batch jobs > ------------------------------------------ > > Key: FLINK-31144 > URL: https://issues.apache.org/jira/browse/FLINK-31144 > Project: Flink > Issue Type: Bug > Components: Runtime / Coordination > Reporter: Julien Tournay > Priority: Major > Attachments: flink-1.17-snapshot-1676473798013.nps, > image-2023-02-21-10-29-49-388.png > > > When executing a complex job graph at high parallelism > `DefaultPreferredLocationsRetriever.getPreferredLocationsBasedOnInputs` can > get slow and cause long pauses where the JobManager becomes unresponsive and > all the taskmanagers just wait. I've attached a VisualVM snapshot to > illustrate the problem.[^flink-1.17-snapshot-1676473798013.nps] > At Spotify we have complex jobs where this issue can cause batch "pause" of > 40+ minutes and make the overall execution 30% slower or more. > More importantly this prevent us from running said jobs on larger cluster as > adding resources to the cluster worsen the issue. > We have successfully tested a modified Flink version where > `DefaultPreferredLocationsRetriever.getPreferredLocationsBasedOnInputs` was > completely commented and simply returns an empty collection and confirmed it > solves the issue. > In the same spirit as a recent change > ([https://github.com/apache/flink/blob/43f419d0eccba86ecc8040fa6f521148f1e358ff/flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/DefaultPreferredLocationsRetriever.java#L98-L102)] > there could be a mechanism in place to detect when Flink run into this > specific issue and just skip the call to `getInputLocationFutures` > [https://github.com/apache/flink/blob/43f419d0eccba86ecc8040fa6f521148f1e358ff/flink-runtime/src/main/java/org/apache/flink/runtime/scheduler/DefaultPreferredLocationsRetriever.java#L105-L108.] > I'm not familiar enough with the internals of Flink to propose a more > advanced fix, however it seems like a configurable threshold on the number of > consumer vertices above which the preferred location is not computed would > do. If this solution is good enough, I'd be happy to submit a PR. -- This message was sent by Atlassian Jira (v8.20.10#820010)