ddd45e25ee
## Changes - Propagate env vars USE_SDK_V2_RESOURCES and $USE_SDK_V2_DATA_SOURCES to terraform - This are troubleshooting helpers for resources migrated to new plugin framework, recommended here: https://registry.terraform.io/providers/databricks/databricks/latest/docs/guides/troubleshooting#plugin-framework-migration-problems - This current unblocks deploying quality monitors, see https://github.com/databricks/terraform-provider-databricks/issues/4229#issuecomment-2520344690 ## Tests Manually testing that I can deploy quality monitor after this change with `USE_SDK_V2_RESOURCES="databricks_quality_monitor"` set ### Main branch: ``` ~/work/databricks_quality_monitor_repro % USE_SDK_V2_RESOURCES="databricks_quality_monitor" ../cli/cli-main bundle deploy Uploading bundle files to /Workspace/Users/denis.bilenko@databricks.com/.bundle/quality_monitor_bundle/default/files... Deploying resources... Updating deployment state... Deployment complete! Error: terraform apply: exit status 1 Error: Provider produced inconsistent result after apply When applying changes to databricks_quality_monitor.monitor_trips, provider "provider[\"registry.terraform.io/databricks/databricks\"]" produced an unexpected new value: .data_classification_config: block count changed from 0 to 1. This is a bug in the provider, which should be reported in the provider's own issue tracker. ``` ### This branch: ``` ~/work/databricks_quality_monitor_repro % USE_SDK_V2_RESOURCES="databricks_quality_monitor" ../cli/cli bundle deploy Uploading bundle files to /Workspace/Users/denis.bilenko@databricks.com/.bundle/quality_monitor_bundle/default/files... Deploying resources... Updating deployment state... Deployment complete! ``` ### Config: ``` ~/work/databricks_quality_monitor_repro % cat databricks.yml bundle: name: quality_monitor_bundle resources: quality_monitors: monitor_trips: table_name: main.denis-bilenko-cuj-pe34.trips_sanitized_1 output_schema_name: main.denis-bilenko-cuj-pe34 assets_dir: /Workspace/Users/${workspace.current_user.userName}/quality_monitor_issue snapshot: {} ``` |
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| .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.