You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@flink.apache.org by "Julien Tournay (Jira)" <ji...@apache.org> on 2023/02/20 17:00:00 UTC

[jira] [Created] (FLINK-31144) Slow scheduling on large-scale batch jobs

Julien Tournay created FLINK-31144:
--------------------------------------

             Summary: 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
         Attachments: flink-1.17-snapshot-1676473798013.nps

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 test 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)