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Join search model versions into GraphQL getRun operation #11215

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edwardfeng-db
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@edwardfeng-db edwardfeng-db commented Feb 21, 2024

Related Issues/PRs

N/A

What changes are proposed in this pull request?

  • Joining model_versions data into MlflowRun Graphql schema type
  • Adding unit test to test the functionality

How is this PR tested?

  • Existing unit/integration tests
  • New unit/integration tests
  • Manual tests

Does this PR require documentation update?

  • No. You can skip the rest of this section.
  • Yes. I've updated:
    • Examples
    • API references
    • Instructions

Release Notes

Is this a user-facing change?

  • No. You can skip the rest of this section.
  • Yes. Give a description of this change to be included in the release notes for MLflow users.

What component(s), interfaces, languages, and integrations does this PR affect?

Components

  • area/artifacts: Artifact stores and artifact logging
  • area/build: Build and test infrastructure for MLflow
  • area/deployments: MLflow Deployments client APIs, server, and third-party Deployments integrations
  • area/docs: MLflow documentation pages
  • area/examples: Example code
  • area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
  • area/models: MLmodel format, model serialization/deserialization, flavors
  • area/recipes: Recipes, Recipe APIs, Recipe configs, Recipe Templates
  • area/projects: MLproject format, project running backends
  • area/scoring: MLflow Model server, model deployment tools, Spark UDFs
  • area/server-infra: MLflow Tracking server backend
  • area/tracking: Tracking Service, tracking client APIs, autologging

Interface

  • area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
  • area/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Models
  • area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry
  • area/windows: Windows support

Language

  • language/r: R APIs and clients
  • language/java: Java APIs and clients
  • language/new: Proposals for new client languages

Integrations

  • integrations/azure: Azure and Azure ML integrations
  • integrations/sagemaker: SageMaker integrations
  • integrations/databricks: Databricks integrations

How should the PR be classified in the release notes? Choose one:

  • rn/none - No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" section
  • rn/breaking-change - The PR will be mentioned in the "Breaking Changes" section
  • rn/feature - A new user-facing feature worth mentioning in the release notes
  • rn/bug-fix - A user-facing bug fix worth mentioning in the release notes
  • rn/documentation - A user-facing documentation change worth mentioning in the release notes

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github-actions bot commented Feb 21, 2024

Documentation preview for f2a7bb1 will be available when this CircleCI job
completes successfully.

More info

Signed-off-by: edwardfeng-db <jinghao.feng@databricks.com>
@edwardfeng-db edwardfeng-db force-pushed the edwardfeng-db/search-model-version-join branch from 5de3858 to f2a7bb1 Compare February 21, 2024 18:18
@edwardfeng-db edwardfeng-db marked this pull request as ready for review February 21, 2024 18:22
@edwardfeng-db edwardfeng-db added the rn/none List under Small Changes in Changelogs. label Feb 21, 2024
@edwardfeng-db edwardfeng-db enabled auto-merge (squash) February 22, 2024 08:36
@edwardfeng-db edwardfeng-db merged commit 3effa73 into mlflow:master Feb 22, 2024
66 of 68 checks passed
artjen pushed a commit to artjen/mlflow that referenced this pull request Mar 26, 2024
Signed-off-by: edwardfeng-db <jinghao.feng@databricks.com>
Signed-off-by: Arthur Jenoudet <arthur.jenoudet@databricks.com>
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