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## Changes When running the CLI on Databricks Runtime (DBR), use the extension-aware filer to write an instantiated template if the instance path is located in the workspace filesystem. Notebooks cannot be written through the workspace filesystem's FUSE mount. As a result, this is the only method for initializing templates that contain notebooks when running the CLI on DBR and writing to the workspace filesystem. Depends on #1910 and #1911. Supersedes #1744. ## Tests * Manually confirmed I can initialize a template with notebooks when running the CLI from the web terminal. |
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| CHANGELOG.md | ||
| Dockerfile | ||
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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
This CLI follows the Databricks Unified Authentication principles.
You can find a detailed description at https://github.com/databricks/databricks-sdk-go#authentication.
Privacy Notice
Databricks CLI use is subject to the Databricks License and Databricks Privacy Notice, including any Usage Data provisions.