[Fix] Support updating all attributes of databricks_model_serving
#4575
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nkvuong
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Mar 31, 2025
renaudhartert-db
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Apr 7, 2025
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alexott
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May 15, 2025
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## Release v1.80.0 ### New Features and Improvements * Add `resource_model_serving_provisioned_throughput` for creation of [model serving provisioned throughput](https://docs.databricks.com/aws/en/machine-learning/foundation-model-apis/deploy-prov-throughput-foundation-model-apis) endpoints [#4701](#4701) * Replace DBFS with Unity Catalog resources in [index page](https://registry.terraform.io/providers/databricks/databricks/latest/docs) storage section [#4718](#4718) ### Bug Fixes * Support updating all attributes for `databricks_model_serving` ([#4575](#4575)). * Fix reading of `external_id` for `databricks_service_principal` [#4712](#4712) ### Documentation * Added documentation for GITHUB OIDC authentication type [#4717] (#4717) ### Exporter * Generate correct code for Databricks and Azure-managed service principals [#4715](#4715)
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Changes
Currently, it is only possible to update the config for
databricks_model_servingresources. The Serving Endpoints API exposes separate APIs for updating different elements of serving endpoints, including the config, tags, rate limits, and AI gateway configuration. Because of this, we need to call each API separately when requested by a user.This PR adds support for updating these attributes. The provider will use
ResourceData'sHasChanges()method to determine whether each corresponding update method needs to be called.From what I can tell, it is not possible to update the route-optimized setting for model serving endpoints, so I've marked it as
ForceNewto ensure endpoints are recreated appropriately if a user requests to enable or disable route optimization.Resolves #4564, Resolves #4038, Resolves #4589
Tests
TestAccModelServingtest, verifying that tags can be provided at creation, and that in update tags can be removed, updated, and added.