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[BUG] Faild to build the model from the docker file: Errors were encountered while processing: openjdk-11-jre-headless:amd64 #11801
Comments
I did some additional investigation and it looks like the problem is resolved when installing
with these two:
and that seems to fix the problem... this however is not a feasible solution as editing the |
@ltrojan interesting, do you have any idea why it succeeds when you install
cc @harupy do you think the migration to the JDK 11 image has anything to do with it? |
no, it's very weird... however, i just realised those dockerfiles are created using a slightly old version of
for this further down the code (in
that looks like the packages this is still spitting out the following:
so, it seems the problem is related to installing |
Same issue here: sysinfo: |
This fix worked for me. |
@mlflow/mlflow-team Please assign a maintainer and start triaging this issue. |
Issues Policy acknowledgement
Where did you encounter this bug?
Local machine
Willingness to contribute
Yes. I can contribute a fix for this bug independently.
MLflow version
System information
FROM ubuntu:20.04
):FROM ubuntu:20.04
)Describe the problem
the
docker build .
fails to runsteps
A tar file is created using the following command:
the commands generate a folder with the following files:
and the
Dockerfile
:the build command is issued:
this run for a min or two untill if fails with the following error:
What component(s) does this bug affect?
area/artifacts
: Artifact stores and artifact loggingarea/build
: Build and test infrastructure for MLflowarea/deployments
: MLflow Deployments client APIs, server, and third-party Deployments integrationsarea/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/recipes
: Recipes, Recipe APIs, Recipe configs, Recipe Templatesarea/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, autologgingWhat interface(s) does this bug affect?
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 supportWhat language(s) does this bug affect?
language/r
: R APIs and clientslanguage/java
: Java APIs and clientslanguage/new
: Proposals for new client languagesWhat integration(s) does this bug affect?
integrations/azure
: Azure and Azure ML integrationsintegrations/sagemaker
: SageMaker integrationsintegrations/databricks
: Databricks integrationsThe text was updated successfully, but these errors were encountered: