2847533e1e
## Changes This PR adds support for UC volumes to DABs. ### Can I use a UC volume managed by DABs in `artifact_path`? Yes, but we require the volume to exist before being referenced in `artifact_path`. Otherwise you'll see an error that the volume does not exist. For this case, this PR also adds a warning if we detect that the UC volume is defined in the DAB itself, which informs the user to deploy the UC volume in a separate deployment first before using it in `artifact_path`. We cannot create the UC volume and then upload the artifacts to it in the same `bundle deploy` because `bundle deploy` always uploads the artifacts to `artifact_path` before materializing any resources defined in the bundle. Supporting this in a single deployment requires us to migrate away from our dependency on the Databricks Terraform provider to manage the CRUD lifecycle of DABs resources. ### Why do we not support `preset.name_prefix` for UC volumes? UC volumes will not have a `dev_shreyas_goenka` prefix added in `mode: development`. Configuring `presets.name_prefix` will be a no-op for UC volumes. We have decided not to support prefixing for UC resources. This is because: 1. UC provides its own namespace hierarchy that is independent of DABs. 2. Users can always manually use `${workspace.current_user.short_name}` to configure the prefixes manually. Customers often manually set up a UC hierarchy for dev and prod, including a schema or catalog per developer. Thus, it's often unnecessary for us to add prefixing in `mode: development` by default for UC resources. In retrospect, supporting prefixing for UC schemas and registered models was a mistake and will be removed in a future release of DABs. ## Tests Unit, integration test, and manually. ### Manual Testing cases: 1. UC volume does not exist: ``` ➜ bundle-playground git:(master) ✗ cli bundle deploy Error: failed to fetch metadata for the UC volume /Volumes/main/caps/my_volume that is configured in the artifact_path: Not Found ``` 2. UC Volume does not exist, but is defined in the DAB ``` ➜ bundle-playground git:(master) ✗ cli bundle deploy Error: failed to fetch metadata for the UC volume /Volumes/main/caps/managed_by_dab that is configured in the artifact_path: Not Found Warning: You might be using a UC volume in your artifact_path that is managed by this bundle but which has not been deployed yet. Please deploy the UC volume in a separate bundle deploy before using it in the artifact_path. at resources.volumes.bar in databricks.yml:24:7 ``` --------- Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com> |
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README.md
Databricks CLI
This project is in Public Preview.
Documentation is available at https://docs.databricks.com/dev-tools/cli/databricks-cli.html.
Installation
This CLI is packaged as a dependency-free binary executable and may be located in any directory. See https://github.com/databricks/cli/releases for releases and the Databricks documentation for detailed information about installing the CLI.
Homebrew
We maintain a Homebrew tap for installing the Databricks CLI. You can find instructions for how to install, upgrade and downgrade the CLI using Homebrew here.
Docker
You can use the CLI via a Docker image by pulling the image from ghcr.io
. You can find all available versions
at: https://github.com/databricks/cli/pkgs/container/cli.
docker pull ghcr.io/databricks/cli:latest
Example of how to run the CLI using the Docker image. More documentation is available at https://docs.databricks.com/dev-tools/bundles/airgapped-environment.html.
docker run -e DATABRICKS_HOST=$YOUR_HOST_URL -e DATABRICKS_TOKEN=$YOUR_TOKEN ghcr.io/databricks/cli:latest current-user me
Authentication
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You can find a detailed description at https://github.com/databricks/databricks-sdk-go#authentication.
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