aaron-y-chen opened a new pull request, #73509:
URL: https://github.com/apache/airflow/pull/73509
related: #52712
## Summary
Add Amazon Kinesis Data Streams integration to the common messaging
interface (AIP-82), connecting the existing `KinesisTrigger` to
`MessageQueueTrigger` using `scheme="kinesis"`.
- Implements `KinesisMessageQueueProvider` with scheme-based dispatch
(`scheme="kinesis"`).
- Registers the queue provider in `provider.yaml` and updates provider
metadata.
- Adds user documentation in `message-queues/index.rst` and an illustrative
example Dag (`example_kinesis_message_queue.py`).
## Testing
- **Live AWS E2E Verification**:
Verified against a live Amazon Kinesis Data Stream
(`airflow-kinesis-cmq-e2e` in `us-west-2`) with a running Airflow Triggerer:
1. A test record (`kinesis-e2e-payload-001`) was sent to Kinesis via AWS
CLI `put-record`.
2. `MessageQueueTrigger(scheme="kinesis")` detected the record and emitted
an `AssetEvent` (`kinesis://airflow-kinesis-cmq-e2e`).
3. The Scheduler automatically triggered an `asset_triggered` Dag run
(`asset_triggered__2026-09-21T21:46:23.928742+00:00_I3mBFdjv`), and the task
successfully decoded and verified the record data.
### E2E Screenshots
1. **AWS Kinesis Console (Data viewer showing the put record)**:
<img width="1431" height="730" alt="kinesis_1"
src="https://github.com/user-attachments/assets/8b356751-2a4b-4569-9acd-1e5b0daf4ed3";
/>
2. **Airflow Web UI (asset_triggered Dag run and decoded log)**:
<img width="1909" height="492" alt="kinesis_2"
src="https://github.com/user-attachments/assets/2df7cceb-35ab-4e4e-8c98-b8244718e735";
/>
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