acryl-datahub-actions 1.6.0.10rc3

Event-driven action framework for DataHub — trigger automations and workflows in response to real-time metadata changes

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

• Documentation
• Actions concepts
• Quickstart guide
• Developing a custom action
• GitHub
• Slack community