potiuk opened a new pull request, #69750:
URL: https://github.com/apache/airflow/pull/69750
Adds graphviz-generated diagrams to the architecture overview
(core-concepts/overview.rst) explaining how a task actually runs across
Airflow's SDKs, in a new "Task execution architecture" section:
- Python Task SDK — the supervised path (Supervisor + forked task process
over a
msgpack socket) vs the native in-process path (dag.test()), plus a numbered
message-flow sequence.
- Go SDK — standalone airflow-go-edge-worker pulling from the Edge API,
running
the compiled bundle as a go-plugin gRPC subprocess and calling the
Execution
API directly.
- Java (JVM) SDK — the new Coordinator layer (CoordinatorManager ->
JavaCoordinator
-> _JavaActivitySubprocess) reusing the Python Supervisor, driving a JVM
subprocess over loopback TCP, with an architecture diagram and a numbered
execution-workflow sequence.
All diagrams are generated by the existing generate-airflow-diagrams prek
hook
(committed as .py + .png + .md5sum).
---
##### Was generative AI tooling used to co-author this PR?
- [X] Yes — Claude Code (Opus 4.8)
Generated-by: Claude Code (Opus 4.8) following [the
guidelines](https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#gen-ai-assisted-contributions)
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