Speed up R tests by using uv as env-manager instead of virtualenv#18882
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Speed up R tests by using uv as env-manager instead of virtualenv#18882
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@Copilot Thank you for the contribution! Could you fix the following issue(s)? ⚠ Invalid PR templateThis PR does not appear to have been filed using the MLflow PR template. Please copy the PR template from here and fill it out. |
Co-authored-by: harupy <17039389+harupy@users.noreply.github.com>
Co-authored-by: harupy <17039389+harupy@users.noreply.github.com>
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[WIP] Update R tests to use uv as env manager for speed
Speed up R tests by using uv as env-manager instead of virtualenv
Nov 18, 2025
harupy
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Nov 18, 2025
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Documentation preview for 65475c1 is available at: More info
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Co-authored-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
harupy
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The Run tests step in the r job takes about 20 minutes. On this PR, it takes 6-7 minutes.
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This is to speed up iteration when fixing a bug.
harupy
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Nov 18, 2025
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…flow#18882) Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: harupy <17039389+harupy@users.noreply.github.com>
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…flow#18882) Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: harupy <17039389+harupy@users.noreply.github.com> Signed-off-by: Tian Lan <sky.blue266000@gmail.com>
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Related Issues/PRs
#xxx
What changes are proposed in this pull request?
R tests using
mlflow_cli("models", "predict")defaulted to virtualenv/pyenv which is extremely slow. This PR switches touvfor significantly faster test execution.Changes:
--env-manager uvto all 11mlflow_cli("models", "predict")calls across 3 R test files:test-model.R(5 calls)test-model-xgboost.R(3 calls)test-model-h2o.R(3 calls)uvas a supported option for--env-manager(was already implemented, just undocumented)--install-mlflowhelp text to mentionuvalongside conda and virtualenvHow is this PR tested?
Verified CLI help displays correctly and
uvis validated as a supported env_manager value.Does this PR require documentation update?
Release Notes
Is this a user-facing change?
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/tracking: Tracking Service, tracking client APIs, autologgingarea/models: MLmodel format, model serialization/deserialization, flavorsarea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/evaluation: MLflow model evaluation features, evaluation metrics, and evaluation workflowsarea/gateway: MLflow AI Gateway client APIs, server, and third-party integrationsarea/prompts: MLflow prompt engineering features, prompt templates, and prompt managementarea/tracing: MLflow Tracing features, tracing APIs, and LLM tracing functionalityarea/projects: MLproject format, project running backendsarea/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesHow 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" sectionrn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/feature- A new user-facing feature worth mentioning in the release notesrn/bug-fix- A user-facing bug fix worth mentioning in the release notesrn/documentation- A user-facing documentation change worth mentioning in the release notesShould this PR be included in the next patch release?
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