[jboss-jira] [JBoss JIRA] (WFLY-7418) Batch deployments with a large number of executed jobs can lock up or slow down the web console

[Harald Pehl (JIRA)]

    [ https://issues.jboss.org/browse/WFLY-7418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13313813#comment-13313813 ] 

Harald Pehl commented on WFLY-7418:
-----------------------------------

One workaround could be to open another tab, browser window or different browser to avoid blocking the rest of the management console. Not sure if that works out, though. Another option could be the use of web workers [1], but that would need more analysis and would be something to consider for HAL.next.

Apart from that I don't have other solutions atm. 

[1] https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Using_web_workers

> Batch deployments with a large number of executed jobs can lock up or slow down the web console
> -----------------------------------------------------------------------------------------------
>
>                 Key: WFLY-7418
>                 URL: https://issues.jboss.org/browse/WFLY-7418
>             Project: WildFly
>          Issue Type: Enhancement
>          Components: Batch, Web Console
>            Reporter: James Perkins
>            Assignee: James Perkins
>
> Batch deployments which contain a large number of executed jobs can be extremely slow to process as the {{/deployment=batch.war/subsystem=batch-jberet}} processes each job instance then each job execution of that job instance.
> One possibly helpful option for the web console would be to add a new description attribute to indicate the resource may be slow to process. The web console might be able to run a background task to populate data rather than locking up the UI. There would still be an issue with a large memory footprint here however.
> JBeret might want to consider having a way to archive jobs too rather than just purge them. Some users may want to keep all job execution data. Archiving this data could reduce the size of the current data being retrieved.



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