[FR] Support Pyarrow 16

[thatcort]

Willingness to contribute

No. I cannot contribute this feature at this time.

Proposal Summary

Please support pyarrow version 16. MLFlow is currently pinned to <16.

Motivation

What is the use case for this feature?

I am trying to install the latest version of another library (nvidia cudf-cu12) that requires pyarrow v16, but mlflow's dependency on <16 is preventing this.

Why is this use case valuable to support for MLflow users in general?

MLFlow should not limit what other libraries can be installed alongside.

Why is this use case valuable to support for your project(s) or organization?

I require both libraries to work together.

Why is it currently difficult to achieve this use case?

The conflicting dependency requirements prevent installing cudf-cu12.

Details

No response

What component(s) does this bug affect?

• [ ] 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

What interface(s) does this bug affect?

• [ ] 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

What language(s) does this bug affect?

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

What integration(s) does this bug affect?

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

[B-Step62]

@thatcort Thank you for reporting the issue! There is an ongoing effort for supporting Pyarrow 16: https://github.com/mlflow/mlflow/pull/11905.

[github-actions[bot]]

@mlflow/mlflow-team Please assign a maintainer and start triaging this issue.