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[Bug]: Deleting Cluster storage does not delete workbench folder #353

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manosnoam opened this issue Oct 2, 2023 · 3 comments
Open
1 task done

[Bug]: Deleting Cluster storage does not delete workbench folder #353

manosnoam opened this issue Oct 2, 2023 · 3 comments
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kind/bug Something isn't working priority/normal An issue with the product; fix when possible

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@manosnoam
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Is there an existing issue for this?

  • I have searched the existing issues

Deploy type

Downstream version (eg. RHODS 1.29)

Version

1.33

Current Behavior

Deleting cluster storage does not delete the actual folder in the workbench (it only deletes the folder files and sub-folders).

Expected Behavior

The actual folder should be deleted as well, unless it is beeing used by other cluster storage resources.

Steps To Reproduce

  1. Create Workbench (e.g. with TensorFlow).
  2. Check that the workbench is running.
  3. Add new Cluster storage with a folder (e.g. data-a).
  4. Check that the workbench is running.
  5. Delete that cluster storage.
  6. Open the workbench, and check that the folder was deleted.

Workaround (if any)

No response

What browsers are you seeing the problem on?

Firefox, Chrome

Anything else

No response

@manosnoam manosnoam added kind/bug Something isn't working priority/normal An issue with the product; fix when possible labels Oct 2, 2023
@manosnoam
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Storages were deleted:
image

But folders still exist (with empty content though):
image

@Gkrumbach07
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cc @harshad16 not necessarily us, maybe something with stale with Jupyter lab?

@harshad16
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/transfer notebooks

@openshift-ci openshift-ci bot transferred this issue from opendatahub-io/odh-dashboard Nov 16, 2023
@github-project-automation github-project-automation bot moved this to 📋 Backlog in ODH IDE Planning Nov 16, 2023
atheo89 pushed a commit to atheo89/notebooks that referenced this issue Aug 22, 2024
…st-updater-10309839691

[Digest Updater Action] Update Runtime Images
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Labels
kind/bug Something isn't working priority/normal An issue with the product; fix when possible
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Status: 📋 Backlog
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3 participants