c6e2be1ecb
## Changes Enable Automated tagging workflow. The workflow uses the `tagging.py` script to: * Flush the NEXT_CHANGELOG.md` file into the `CHANGELOG.md`. * Create a Release commit and push it to `main` (without a PR) * Create a tag for the release. Usage and Changelog management details can be found in [go/deco/release](go/deco/release). This PR does: * Added `cli_legacy` mode. Each SDK has it's own "mode" used to determine which templates are to be used. * `api_changelog: true` enables API changelog to be appended to NEXT_CHANGELOG when generating the SDK. * Removed `.codegen/changelog.md.tmpl`. Changelog templates are now part of universe. * Workflow and `tagging.py` files are synced from universe as part of SDK generation. This allows us to test them and keep them in sync with other SDKs. ## Tests Workflow enabled in databricks/terraform-provider-databricks --------- Co-authored-by: Andrew Nester <andrew.nester@databricks.com> |
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|---|---|---|
| .codegen | ||
| .github | ||
| .vscode | ||
| acceptance | ||
| bundle | ||
| cmd | ||
| docker | ||
| docs | ||
| integration | ||
| internal | ||
| libs | ||
| .codegen.json | ||
| .git-blame-ignore-revs | ||
| .gitattributes | ||
| .gitignore | ||
| .golangci.yaml | ||
| .goreleaser.yaml | ||
| .mockery.yaml | ||
| .package.json | ||
| CHANGELOG.md | ||
| Dockerfile | ||
| LICENSE | ||
| Makefile | ||
| NEXT_CHANGELOG.md | ||
| NOTICE | ||
| README.md | ||
| go.mod | ||
| go.sum | ||
| main.go | ||
| main_test.go | ||
| ruff.toml | ||
| tagging.py | ||
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.