Dockerize R package build #5182
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Signed-off-by: harupy <hkawamura0130@gmail.com>
harupy
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Dec 20, 2021
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| - name: Test package build | ||
| working-directory: mlflow/R/mlflow | ||
| run: | | ||
| ./build-package.sh |
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This step takes about 5 minutes, which I think is acceptable:
https://github.com/mlflow/mlflow/runs/4577625774?check_suite_focus=true#step:16:1
harupy
commented
Dec 20, 2021
| @@ -0,0 +1,5 @@ | |||
| FROM rocker/r-ver:4.1.2 | |||
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rocker/r-ver is maintained by R maintainers:
https://hub.docker.com/r/rocker/r-ver
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
Signed-off-by: harupy <17039389+harupy@users.noreply.github.com>
harupy
commented
Dec 20, 2021
| FROM rocker/r-ver:4.1.2 | ||
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| RUN apt-get update -y | ||
| RUN apt-get install pandoc -y |
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devtools::check_built needs pandoc to analyze README.
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Signed-off-by: harupy hkawamura0130@gmail.com
What changes are proposed in this pull request?
Dockerize R package build to make it easier to debug and reproduce issues. Our internal Jenkins job also can use the dockerized package build.
How is this patch tested?
Added a step in the r check to ensure the build script works.
Does this PR change the documentation?
ci/circleci: build_doccheck. If it's successful, proceed to thenext step, otherwise fix it.
Detailson the right to open the job page of CircleCI.Artifactstab.docs/build/html/index.html.Release Notes
Is this a user-facing change?
(Details in 1-2 sentences. You can just refer to another PR with a description if this PR is part of a larger change.)
What component(s), interfaces, languages, and integrations does this PR affect?
Components
area/artifacts: Artifact stores and artifact loggingarea/build: Build and test infrastructure for MLflowarea/docs: MLflow documentation pagesarea/examples: Example codearea/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registryarea/models: MLmodel format, model serialization/deserialization, flavorsarea/projects: MLproject format, project running backendsarea/scoring: MLflow Model server, model deployment tools, Spark UDFsarea/server-infra: MLflow Tracking server backendarea/tracking: Tracking Service, tracking client APIs, autologgingInterface
area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev serverarea/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Modelsarea/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registryarea/windows: Windows supportLanguage
language/r: R APIs and clientslanguage/java: Java APIs and clientslanguage/new: Proposals for new client languagesIntegrations
integrations/azure: Azure and Azure ML integrationsintegrations/sagemaker: SageMaker integrationsintegrations/databricks: Databricks integrationsHow should the PR be classified in the release notes? Choose one:
rn/breaking-change- The PR will be mentioned in the "Breaking Changes" sectionrn/none- No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" 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 notes