2cd0d88bdd
## Changes The materialized templates included in #2146 include Python code that we require to be formatted. Instead of running ruff as part of the testcase, we can enforce that all Python code in the repository is formatted. It won't be possible to have a passing acceptance test for template initialization with unformatted code. |
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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 | ||
CHANGELOG.md | ||
Dockerfile | ||
LICENSE | ||
Makefile | ||
NOTICE | ||
README.md | ||
go.mod | ||
go.sum | ||
main.go | ||
main_test.go |
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.