We are using the Databricks managed MLflow to log experiment runs for quite some time already and never experienced issues. However, now we seem to have encountered a bug in the associated Databricks UI.
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01-11-2023 04:14 AM
We observe the following behavior when we keep adding new runs to an experiment:
- In the beginning, the runs are still displayed correctly in the UI.
- After a certain number of total runs, the following bug occurs in the UI:
- In the UI, there are no longer any runs in the experiment. ("No runs yet.")
- If you change the way of sorting the runs, some of the runs will be displayed again.
- Then when you scroll down to look at the runs below, the UI breaks down. Instead of the experiment, you see the message: "Something went wrong".
- We have not yet been able to clearly determine the number of runs above which the UI breaks, but it seems to be in the low three-digit range.
- Regardless of the number of runs, they are correctly stored in the underlying storage, in our case an S3 bucket. Thus it seams to be an UI bug.
- Furthermore, you can still get the meta information from the last 100 runs using the "Download CSV" Button.
Is this behavior already known? Is a fix planned for this issue?
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01-11-2023 02:05 PM
Hi, It will be helpful if you make a video on it and post it here. Thanks in advance!
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01-16-2023 06:21 AM
Hi, please find the video ...
Thanks in advance!
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02-28-2023 10:25 PM
Hi @Timo Burmeister Apologies for the delay! I went through the video, does it happen all the time? I see after sorting it with different filter the list appears.
