Skip to main content

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

Project description

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

acryl_datahub_actions-1.6.0.12rc1.tar.gz (77.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

acryl_datahub_actions-1.6.0.12rc1-py3-none-any.whl (122.2 kB view details)

Uploaded Python 3

File details

Details for the file acryl_datahub_actions-1.6.0.12rc1.tar.gz.

File metadata

File hashes

Hashes for acryl_datahub_actions-1.6.0.12rc1.tar.gz
Algorithm Hash digest
SHA256 983aa7cdaaac540775a0280b709d17f9247faafa8f43727ee619f9a77e83e38b
MD5 d97bf0a77be63d81660e0aec872517f1
BLAKE2b-256 4247bb78851905535932fb6faad97c761cdebaa73ea9411028f2c27546ba1fdf

See more details on using hashes here.

File details

Details for the file acryl_datahub_actions-1.6.0.12rc1-py3-none-any.whl.

File metadata

File hashes

Hashes for acryl_datahub_actions-1.6.0.12rc1-py3-none-any.whl
Algorithm Hash digest
SHA256 11ddd21aa2621e4809aa21975298185b4e3ea05f280ee189307e0e61d21735b4
MD5 9c766df0beaa090802621f638181df6d
BLAKE2b-256 9dcfbc183a21216ec161b096357bf6bf17754c45f74b4bb9d00321c31b4e4320

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page