3d9decdda9
## Changes Add JobTaskClusterSpec validate mutator. It catches the case when tasks don't which cluster to use. For example, we can get this error with minor modifications to `default-python` template: ```yaml tasks: - task_key: python_file_task spark_python_task: python_file: ../src/my_project_10/main.py ``` ``` % databricks bundle validate Error: Missing required cluster or environment settings at resources.jobs.my_project_10_job.tasks[0] in resources/my_project_10_job.yml:17:11 Task "print_github_stars" requires a cluster or an environment to run. Specify one of the following fields: job_cluster_key, environment_key, existing_cluster_id, new_cluster. ``` We implicitly rely on "one of" validation, which does not exist. Many bundle fields can't co-exist, for instance, specifying: `JobTask.{existing_cluster_id,job_cluster_key}`, `Library.{whl,pypi}`, `JobTask.{notebook_task,python_wheel_task}`, etc. ## Tests Unit tests --------- Co-authored-by: Pieter Noordhuis <pcnoordhuis@gmail.com> |
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bundle | ||
cmd | ||
docker | ||
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internal | ||
libs | ||
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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.