prefect-datahub 1.6.0.10

DataHub Prefect plugin — automatically capture flow lineage and run metadata from Prefect workflows into your DataHub catalog

DataHub Prefect Plugin

Automatic lineage and run metadata from Prefect into DataHub — captures flow structure, task inputs/outputs, and run history with minimal setup.

What you can do

• Emit flow and task metadata to DataHub as pipeline runs
• Capture dataset lineage — declare inputs and outputs per task and see them in DataHub
• Configure via Prefect blocks — store your DataHub connection settings as a reusable block
• Works with any DataHub deployment — self-hosted or DataHub Cloud

Installation

pip install prefect-datahub

Quickstart

1. Save your DataHub connection as a Prefect block

from prefect_datahub.datahub_emitter import DatahubEmitter

DatahubEmitter(
    datahub_rest_url="http://localhost:8080",
    env="PROD",
).save("my-datahub")

2. Use it in your flows

from prefect import flow, task
from prefect_datahub.datahub_emitter import DatahubEmitter
from prefect_datahub.entities import Dataset

emitter = DatahubEmitter.load("my-datahub")

@task
def transform(data, emitter):
    emitter.add_task(
        inputs=[Dataset("snowflake", "mydb.schema.source_table")],
        outputs=[Dataset("snowflake", "mydb.schema.output_table")],
    )
    return data

@flow
def my_pipeline():
    data = extract()
    transform(data, emitter)
    emitter.emit_flow()   # required — emits all metadata at the end

Configuration options

Option	Default	Description
datahub_rest_url	http://localhost:8080	DataHub GMS URL
env	PROD	Environment tag for assets
platform_instance	None	Platform instance for assets
token	None	Auth token (if GMS auth is enabled)

Links

• Full documentation
• Prefect
• GitHub
• Slack community