topic Re: 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. in Data Engineering

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.

332588 — Wed, 11 Jan 2023 12:14:11 GMT

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?

Re: 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.

332588 — Mon, 16 Jan 2023 14:21:41 GMT

Hi, please find the video ...

Thanks in advance!

Re: 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.

Debayan — Wed, 11 Jan 2023 22:05:55 GMT

Hi, It will be helpful if you make a video on it and post it here. Thanks in advance!

Re: 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.

Debayan — Wed, 01 Mar 2023 06:25:33 GMT

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.