DataHub Actions
Event-driven automation for DataHub — react to metadata changes in real time and trigger workflows, notifications, or custom logic.
What you can do
- Listen to metadata change events as they happen (entity updates, tag additions, ownership changes, etc.)
- Filter events to only act on what matters to you
- Chain transformers to enrich or reshape events before they reach your action
- Build custom actions — call APIs, send Slack alerts, trigger pipelines, sync to external systems
- Run multiple pipelines in a single process
Installation
pip install acryl-datahub acryl-datahub-actions
datahub actions version
Quickstart
Define an action pipeline in YAML and run it:
# my_action.yml
name: tag_watcher
source:
type: kafka
config:
connection:
bootstrap: localhost:9092
schema_registry_url: http://localhost:8081
filter:
event_type: EntityChangeEvent_v1
event:
category: TAG
operation: ADD
action:
type: hello_world
datahub actions -c my_action.yml
Key concepts
| Concept | Description |
|---|---|
| Source | Where events come from (currently: Kafka) |
| Filter | Narrow down which events trigger the action |
| Transformer | Optionally reshape or enrich events |
| Action | What to do — call an API, send a message, run code |
Supported events
EntityChangeEvent_v1— fired when an entity's metadata changes (tags, owners, terms, etc.)MetadataChangeLogEvent_v1— low-level log of every aspect write
Links
2 maintainers
Metadata
2 maintainers
Release files for acryl-datahub-actions 1.7.0.17
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Total release size: 212.4 kB
Release files / acryl_datahub_actions-1.7.0.17.tar.gz
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Release files / acryl_datahub_actions-1.7.0.17-py3-none-any.whl
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