Add support for experiments in direct deployment #3669
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- Add ResourceExperiment adapter implementing CRUD operations for MLflow experiments - Add experiments to SupportedResources in direct deployment bundle - Add acceptance test for experiment deployment in both terraform and direct modes - Enable creating, updating, and deleting experiments via direct API calls This allows experiments to be deployed using DATABRICKS_BUNDLE_ENGINE=direct-exp, providing an alternative to the terraform-based deployment approach.
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Can we enable acceptance/bundle/deploy/mlops-stacks/ ? |
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Looks good. Same suggestion on test organization as in https://github.com/databricks/cli/pull/3670/files#r2393785138 (can be a follow up).
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| func (*ResourceExperiment) FieldTriggers() map[string]deployplan.ActionType { | ||
| return map[string]deployplan.ActionType{ | ||
| "name": deployplan.ActionTypeUpdate, |
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a link to corresponding TF code would be helpful there.
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This was referenced Oct 1, 2025
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Changes
This PR adds support for ML experiments to direct deployment, keeping the behaviour the same as the current Terraform implementation.
Why
To make migration to direct possible and seamless.
Tests
New integration test.