-
Notifications
You must be signed in to change notification settings - Fork 60
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Bug]: The "kernel" service is synthetic error when processing parallel #420
Comments
Thanks a lot for reporting the issue. We did not consider the issue as "Pimcore:Priority", "Pimcore:ToDo" or "Pimcore:Backlog", so we're not going to work on that anytime soon. Please create a pull request to fix the issue if this is a bug report. We'll then review it as quickly as possible. If you're interested in contributing a feature, please contact us first here before creating a pull request. We'll then decide whether we'd accept it or not. Thanks for your understanding. |
Hi everyone, is there something new in this? I also occur this error since a few days? |
we are not able to reproduce it, see also thread here, which is a similar topic. |
@stephangmms it's happening when importing a large number of products with a large number of attributes we had more than 200+ attributes for each product. |
that sounds familiar. Sadly i have not too much insight into that problem because i was out of this project for a while. I only know that the data-importer jobs (csv-imports, parallel execution) run in small scale test (<100 items) perfectly. Now as we are testing 5000+ products with only 3 attributes/product this problems occur.
Pimcore: 11.3.0 |
Expected behavior
datahub:data-importer:process-queue-parallel will properly process rows, or throw errors when there is a logic error
Actual behavior
Occasionally rows fail with the following error:
Error processing element: IMPORT,DATA,HERE The "kernel" service is synthetic, it needs to be set at boot time before it can be used.
This seems like a possible race condition as it seems to happen more when the server is under load by other tasks, but I might be imagining that.
Steps to reproduce
Inconsistent. Run lots of 10k, 100k, 1m row datahub imports with multiple parallel workers (8 in my case on 4 cores) while the server is under other workloads.
Sometimes there is no error, sometimes a few rows, and sometimes the whole import fails.
The text was updated successfully, but these errors were encountered: