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Many instances of "DAV Pane Creator" running.
See original GitHub issuePrerequisites
- Put an X between the brackets on this line if you have done all of the following:
- Running the latest version of Constellation
- Attached the Support Package via
Help>Support Package - Checked the FAQs: https://github.com/constellation-app/constellation/wiki/FAQ
- Checked that your issue isn’t already filed: https://github.com/constellation-app/constellation/issues
- Checked that there is not already a module that provides the described functionality: https://github.com/constellation-app/constellation/wiki/Catalogue-of-Repositories
Description
This may be effecting performance, but either way it seems bad to just have the threads waiting endlessly. Even after exiting the view, all creator threads remain. Launching the DAV again, does not yield more threads.
Steps to Reproduce
- Open new graph
- Open Data Access View
Expected behaviour: less threads
Actual behaviour: many threads
Reproduces how often: 100%
Additional Information
N/A
Issue Analytics
- State:
- Created 3 years ago
- Reactions:1
- Comments:5 (2 by maintainers)
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After some investigation, the threads of the thread pool executor stick around because they might be used later on to create new DAV tabs (runs). If the executor was shut down after the initial loading of tab 1 parameters, there was no noticable saving in memory or gain in performance. When a new tab (run) needed to be added, the executor would then need to initialise a new thread pool as the previous one was closed. This may introduce more performance degradation than leaving the threads running.
From the below photos, you can see that there is negligible difference in either keeping them around or getting rid of them. I think from this investigation, it is obvious that the best course of action to leave the current implementation alone.
With threads running:
Without threads running:
I vote to close this ticket with no further action.
To quote the javadoc for
Executors.newFixedThreadPool: “The threads in the pool will exist until it is explicitlyshutdown”.Having had a quick look in the code, it doesn’t appear
shutdown()is called so this is probably why the threads are lingering