acryl-datahub-airflow-plugin 0.9.0.1

Datahub Airflow plugin to capture executions and send to Datahub

Datahub Airflow Plugin

Capabilities

DataHub supports integration of

• Airflow Pipeline (DAG) metadata
• DAG and Task run information
• Lineage information when present

Installation

1. You need to install the required dependency in your airflow.

  pip install acryl-datahub-airflow-plugin

::: note

We recommend you use the lineage plugin if you are on Airflow version >= 2.0.2 or on MWAA with an Airflow version >= 2.0.2 :::

2. Disable lazy plugin load in your airflow.cfg

core.lazy_load_plugins : False

3. You must configure an Airflow hook for Datahub. We support both a Datahub REST hook and a Kafka-based hook, but you only need one.

   # For REST-based:
   airflow connections add  --conn-type 'datahub_rest' 'datahub_rest_default' --conn-host 'http://localhost:8080'
   # For Kafka-based (standard Kafka sink config can be passed via extras):
   airflow connections add  --conn-type 'datahub_kafka' 'datahub_kafka_default' --conn-host 'broker:9092' --conn-extra '{}'
   

4. Add your datahub_conn_id and/or cluster to your airflow.cfg file if it is not align with the default values. See configuration parameters below

   Configuration options:

   Name	Default value	Description
   datahub.datahub_conn_id	datahub_rest_deafault	The name of the datahub connection you set in step 1.
   datahub.cluster	prod	name of the airflow cluster
   datahub.capture_ownership_info	true	If true, the owners field of the DAG will be capture as a DataHub corpuser.
   datahub.capture_tags_info	true	If true, the tags field of the DAG will be captured as DataHub tags.
   datahub.graceful_exceptions	true	If set to true, most runtime errors in the lineage backend will be suppressed and will not cause the overall task to fail. Note that configuration issues will still throw exceptions.

5. Configure inlets and outlets for your Airflow operators. For reference, look at the sample DAG in lineage_backend_demo.py, or reference lineage_backend_taskflow_demo.py if you're using the TaskFlow API.

6. [optional] Learn more about Airflow lineage, including shorthand notation and some automation.

How to validate installation

1. Go and check in Airflow at Admin -> Plugins menu if you can see the Datahub plugin
2. Run an Airflow DAG and you should see in the task logs Datahub releated log messages like:

Emitting Datahub ...

Additional references

Related Datahub videos: Airflow Lineage Airflow Run History in DataHub