[SETUP-BUG] Pinned requirement of alembic version getting old

[HansBambel]

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System information

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Debian
• MLflow installed from (source or binary): Source
• MLflow version (run mlflow --version): It would be 1.15.0
• Python version: 3.7.9
• Exact command to reproduce: pip install mlflow or poetry add mlflow

Describe the problem

I would like to install MLflow for our project. This project has as a dependency that the version of alembic is 1.4.2. I have seen that the requirements for MLflow's alembic are <=1.4.1 (due to #3363).
Since future projects with other packages are likely going to need higher alembic versions it would be nice to remove this limiting requirement. Maybe the issue of failing installs was fixed in higher alembic versions already.

Other info / logs

Because mlflow (1.15.0) depends on alembic (<=1.4.1) 
and no versions of mlflow match >1.15.0,<2.0.0, mlflow (>=1.15.0,<2.0.0) requires alembic (<=1.4.1).

[dmatrix]

cc @harupy any comments on this requirement?

[amenck]

Is there any plan to address this? We have included mlflow as a requirement in some of our projects, which has limited us to using alembic 1.4.1. In practice I'm sure it would be fine to upgrade to a more recent version and just run the code, since we only use the client and definitely are not interacting with a DB via mlflow... however, since we have mlflow list in our, we would end up getting a conflict with alembic if we tried to update past 1.4.1.

At a broader level, it seems suboptimal that a library which we are using simply as a client has a requirement which involves DB interaction. Ideally, it would be great if there were a way to skip this entirely, since our use of mlflow does not involve any DB interaction.

[huxuan]

Same problem here, to be more specific. We joint the usage of mlflow and airflow. And in airflow v2, the least requirement for alembic package is 1.5.1. Do we have any plans to upgrade that?

[jbvaningen]

I'd like to +1 this issue

[dbczumar]

Fortunately, #5249 has addressed this issue. Thank you for using MLflow!