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Yes. I can contribute a fix for this bug independently.
Feature Request Proposal
Now one anti-patter stands out quite strongly in the project - code duplication.
I suggest creating small python package to handle RDBMS requests and use it inside atleast sql-registry and access-control packages.
Motivation
What is the use case for this feature?
Reducing the number of anti-patterns in the project (python) will make it easier to maintain and develop by the community.
Details
In the process of studying the project, I made the first version of such package, with extended support for different databases (including PostgreSQL, MariaDB, MySQL): Link. I can open a PR with such change. Additionally, it is worth adding more tests.
What component(s) does this feature request affect?
Python Client: This is the client users use to interact with most of our API. Mostly written in Python.
Computation Engine: The computation engine that execute the actual feature join and generation work. Mostly in Scala and Spark.
Feature Registry API: The frontend API layer supports SQL, Purview(Atlas) as storage. The API layer is in Python(FAST API)
Feature Registry Web UI: The Web UI for feature registry. Written in React
The text was updated successfully, but these errors were encountered:
Willingness to contribute
Yes. I can contribute a fix for this bug independently.
Feature Request Proposal
Now one anti-patter stands out quite strongly in the project - code duplication.
I suggest creating small python package to handle RDBMS requests and use it inside atleast sql-registry and access-control packages.
Motivation
Reducing the number of anti-patterns in the project (python) will make it easier to maintain and develop by the community.
Details
In the process of studying the project, I made the first version of such package, with extended support for different databases (including PostgreSQL, MariaDB, MySQL): Link. I can open a PR with such change. Additionally, it is worth adding more tests.
What component(s) does this feature request affect?
Python Client
: This is the client users use to interact with most of our API. Mostly written in Python.Computation Engine
: The computation engine that execute the actual feature join and generation work. Mostly in Scala and Spark.Feature Registry API
: The frontend API layer supports SQL, Purview(Atlas) as storage. The API layer is in Python(FAST API)Feature Registry Web UI
: The Web UI for feature registry. Written in ReactThe text was updated successfully, but these errors were encountered: