28b39cd3f7
## Changes This PR makes sweeping changes to the way we generate and test the bundle JSON schema. The main benefits are: 1. More modular JSON schema. Every definition in the schema now is one level deep and points to references instead of inlining the entire schema for a field. This unblocks PyDABs from taking a dependency on the JSON schema. 2. Generate the JSON schema during CLI code generation. Directly stream it instead of computing it at runtime whenever a user calls `databricks bundle schema`. This is nice because we no longer need to embed a partial OpenAPI spec in the CLI. Down the line, we can add a `Schema()` method to every struct in the Databricks Go SDK and remove the dependency on the OpenAPI spec altogether. It'll become more important once we decouple Go SDK structs and methods from the underlying APIs. 3. Add enum values for Go SDK fields in the JSON schema. Better autocompletion and validation for these fields. As a follow-up, we can add enum values for non-Go SDK enums as well (created internal ticket to track). 4. Use "packageName.structName" as a key to read JSON schemas from the OpenAPI spec for Go SDK structs. Before, we would use an unrolled presentation of the JSON schema (stored in `bundle_descriptions.json`), which was complex to parse and include in the final JSON schema output. This also means loading values from the OpenAPI spec for `target` schema works automatically and no longer needs custom code. 5. Support recursive types (eg: `for_each_task`). With us now using $refs everywhere it's trivial to support. 6. Using complex variables would be invalid according to the schema generated before this PR. Now that bug is fixed. In the future adding more custom rules will be easier as well due to the single level nature of the JSON schema. Since this is a complete change of approach in how we generate the JSON schema, there are a few (very minor) regressions worth calling out. 1. We'll lose a few custom descriptions for non Go SDK structs that were a part of `bundle_descriptions.json`. Support for those can be added in the future as a followup. 2. Since now the final JSON schema is a static artefact, we lose some lead time for the signal that JSON schema integration tests are failing. It's okay though since we have a lot of coverage via the existing unit tests. ## Tests Unit tests. End to end tests are being added in this PR: https://github.com/databricks/cli/pull/1726 Previous unit tests were all deleted because they were bloated. Effort was made to make the new unit tests provide (almost) equivalent coverage. |
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| .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.