[
https://issues.apache.org/jira/browse/FLINK-21846?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Flink Jira Bot updated FLINK-21846:
-----------------------------------
Labels: auto-deprioritized-major reactive (was: reactive stale-major)
Priority: Minor (was: Major)
This issue was labeled "stale-major" 7 ago and has not received any updates so
it is being deprioritized. If this ticket is actually Major, please raise the
priority and ask a committer to assign you the issue or revive the public
discussion.
> Rethink whether failure of ExecutionGraph creation in Adaptive Scheduler
> should directly fail the job
> -----------------------------------------------------------------------------------------------------
>
> Key: FLINK-21846
> URL: https://issues.apache.org/jira/browse/FLINK-21846
> Project: Flink
> Issue Type: Bug
> Components: Runtime / Coordination
> Affects Versions: 1.13.0
> Reporter: Till Rohrmann
> Priority: Minor
> Labels: auto-deprioritized-major, reactive
>
> Currently, the {{AdaptiveScheduler}} fails a job execution if the
> {{ExecutionGraph}} creation fails. This can be problematic because the
> failure could result from a transient problem (e.g. filesystem is currently
> not available). In the case of a transient problem a job rescaling could lead
> to a job failure which might be a bit surprising for users. Instead, I would
> expect that Flink would retry the {{ExecutionGraph}} creation.
> One idea could be to ask the restart policy for how to treat the failure and
> whether to retry the {{ExecutionGraph}} creation or not.
> One thing to keep in mind, though, is that some failure might be permanent
> failures (e.g. wrongly specified savepoint path). In such as case we would
> ideally fail immediately. One way to address this problem could be to try to
> restore the savepoint once we create the {{AdaptiveScheduler}}.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)