Hi @Rahul-vlk
You can use the models both as Databricks-hosted “first‑party” endpoints and via “external model” endpoints that proxy to the provider’s hosted APIs, all through a unified, OpenAI‑compatible interface for chat, embeddings, vision, and ...
@rafaelgildin , I see that you have raised an Issue in the OSS mlflow repo, while the issue that you are encountering is on Databricks. The issue here is that you are explicitly adding trace.set_tracer_provider(tracer_provider). Databricks installs i...
2) Run many tables with a generic script (parameterized)
We suggest that you define a list that maps each Databricks source to its corresponding Oracle target and per-table options (partitions, mode, and pre/post SQL). Then loop over it in one notebo...
Option 1: Spark JDBC write from Databricks to Oracle (recommended for “push”/ingestion)
Use the built‑in Spark JDBC writer with Oracle’s JDBC driver. It’s the most direct path for writing into on‑prem Oracle and gives you control over batching, paral...