topic Re: Databricks CLI binding storage credential to a workspace in Data Engineering

Databricks CLI binding storage credential to a workspace

tt_921 — Wed, 29 Oct 2025 20:17:37 GMT

In the documentation from Databricks it says to run the below for binding a storage credential to a workspace (after already completing step 1 to update the `isolation-mode` to be `ISOLATED`):

databricks workspace-bindings update-bindings storage-credential <my-storage-credential> \
--json '{
  "add": [{"workspace_id": <workspace-id>}...],
  "remove": [{"workspace_id": <workspace-id>}...]
}' --profile <profile-name>

However, when running this (with my <storage-credential>, <workspace-id>, and <profile-name>) I receive an error:

Error: Supported binding types for STORAGE_CREDENTIAL are BINDING_TYPE_READ_WRITE

It explicitly states in the documentation that you don't even need to specify a `binding_type` in the json as the read-only binding is not available for storage credentials. But I receive this error which seems as if I have set an incorrect binding type, even though I have not set one at all. I am confident in the rest of the syntax and authentication, because if I add the workspace binding manually in the Databricks UI I can run this same command to "remove" the binding and it runs successfully.

If I do include the `binding_type` of `BINDING_TYPE_READ_WRITE` in the json, I receive an error

Error: assigned workspace 0 does not exist or is not assigned the same metastore as the current workspace.

Is the documentation incorrect, or is there a bug in workspace binding for storage-credentials via the CLI?

Re: Databricks CLI binding storage credential to a workspace

AbhaySingh — Thu, 30 Oct 2025 13:20:30 GMT

This appears to be a documentation inconsistency. The CLI implementation seems to:

1. Require binding_type to be explicitly specified (contradicting the docs)

2. Require it to be placed within each workspace object, not as a top-level parameter

The fact that removing bindings works suggests the CLI can parse the structure correctly for remove operations but has stricter requirements for add operations.

Additional Verification Steps

Could you share:

1. Are you using numeric workspace_id or string? Try ensuring it's numeric without quotes

2. Which version of the Databricks CLI are you using?

This would help confirm if it's a CLI version-specific issue or a persistent bug in the workspace bindings implementation.

Re: Databricks CLI binding storage credential to a workspace

tt_921 — Thu, 30 Oct 2025 14:23:47 GMT

Thank you @AbhaySingh for your response.

Databricks CLI version: Databricks CLI v0.274.0

I am using a numeric workspace_id, which had worked for the removal of bindings. I tried adding a binding now with string in quotes and received the same errors as before. First without specifying any binding type:

Error: Supported binding types for STORAGE_CREDENTIAL are BINDING_TYPE_READ_WRITE

And second when specifying BINDING_TYPE_READ_WRITE, which is placed within each workspace object, not as a top-level parameter:

Error: assigned workspace 0 does not exist or is not assigned the same metastore as the current workspace