5f42791609
## Changes Added support for complex variables Now it's possible to add and use complex variables as shown below ``` bundle: name: complex-variables resources: jobs: my_job: job_clusters: - job_cluster_key: key new_cluster: ${var.cluster} tasks: - task_key: test job_cluster_key: key variables: cluster: description: "A cluster definition" type: complex default: spark_version: "13.2.x-scala2.11" node_type_id: "Standard_DS3_v2" num_workers: 2 spark_conf: spark.speculation: true spark.databricks.delta.retentionDurationCheck.enabled: false ``` Fixes #1298 - [x] Support for complex variables - [x] Allow variable overrides (with shortcut) in targets - [x] Don't allow to provide complex variables via flag or env variable - [x] Fail validation if complex value is used but not `type: complex` provided - [x] Support using variables inside complex variables ## Tests Added unit tests --------- Co-authored-by: shreyas-goenka <88374338+shreyas-goenka@users.noreply.github.com> |
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README.md
Databricks CLI
This project is in Public Preview.
Documentation is available at https://docs.databricks.com/dev-tools/cli/databricks-cli.html.
Installation
This CLI is packaged as a dependency-free binary executable and may be located in any directory. See https://github.com/databricks/cli/releases for releases and the Databricks documentation for detailed information about installing the CLI.
Homebrew
We maintain a Homebrew tap for installing the Databricks CLI. You can find instructions for how to install, upgrade and downgrade the CLI using Homebrew here.
Docker
You can use the CLI via a Docker image by pulling the image from ghcr.io
. You can find all available versions
at: https://github.com/databricks/cli/pkgs/container/cli.
docker pull ghcr.io/databricks/cli:latest
Example of how to run the CLI using the Docker image. More documentation is available at https://docs.databricks.com/dev-tools/bundles/airgapped-environment.html.
docker run -e DATABRICKS_HOST=$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.