bca9c2eda4
## Changes
We want to encourage a pattern of specifying only a single resource in a
YAML file when the `.(resource-type).yml` extension is used (for
example, `.job.yml`). This convention could allow us to bijectively map
a resource YAML file to its corresponding resource in the Databricks
workspace.
This PR:
1. Emits a recommendation diagnostic when we detect this convention is
being violated. We can promote this to a warning when we want to
encourage this pattern more strongly.
2. Visualises the recommendation diagnostics in the `bundle validate`
command.
**NOTE:** While this PR also shows the recommendation for `.yaml` files,
we do not encourage users to use this extension. We only support it here
since it's part of the YAML standard and some existing users might
already be using `.yaml`.
## Tests
Unit tests and manually. Here's what an example output looks like:
```
Recommendation: define a single job in a file with the .job.yml extension.
at resources.jobs.bar
resources.jobs.foo
in foo.job.yml:13:7
foo.job.yml:5:7
The following resources are defined or configured in this file:
- bar (job)
- foo (job)
```
---------
Co-authored-by: Lennart Kats (databricks) <lennart.kats@databricks.com>
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|---|---|---|
| .codegen | ||
| .github | ||
| .vscode | ||
| bundle | ||
| cmd | ||
| docker | ||
| docs | ||
| internal | ||
| libs | ||
| .codegen.json | ||
| .gitattributes | ||
| .gitignore | ||
| .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.