[ https://issues.apache.org/jira/browse/FLINK-31144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17692527#comment-17692527 ]
Zhu Zhu commented on FLINK-31144: --------------------------------- I suspect the slowness is caused by the N^2 complexity to compute the input locations when there are N upstream task and N downstream tasks. If so, as long as N is not too large, e.g. not larger than MAX_DISTINCT_CONSUMERS_TO_CONSIDER=8, the cost of input location computation should be acceptable. Also, if there are too many distinct consumers, input locality would make none sense. As [~huwh] mentioned, it's hard for users to decides a proper threshold for each job. It's also inconvenient if users had to decide whether to enable input locality or not. Therefore, I prefer to let Flink decide it automatically for users, like the proposed change above. > 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)