alessandrolollo / openlineage

An Open Standard for lineage metadata collection

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Overview

OpenLineage is an Open standard for metadata and lineage collection designed to instrument jobs as they are running. It defines a generic model of run, job, and dataset entities identified using consistent naming strategies. The core lineage model is extensible by defining specific facets to enrich those entities.

Status

OpenLineage is an LF AI & Data Foundation sandbox project under active development and we'd love your help!

Problem

Before

• Duplication of effort: Each project has to instrument all jobs
• Integrations are external and can break with new versions

With OpenLineage

• Effort of integration is shared
• Integration can be pushed in each project: no need to play catch up

Scope

OpenLineage defines the metadata for running jobs and the corresponding events. A configurable backend allows to choose what protocol to send the events to.

Core model

A facet is an atomic piece of metadata attached to one of the core entities. See the spec for more details.

Spec

The specification is defined using OpenAPI and allows extension through custom facets.

Related projects

• Marquez: Marquez is an LF AI & DATA project to collect, aggregate, and visualize a data ecosystem's metadata. It is the reference implementation of the OpenLineage API.
  • OpenLineage collection implementation
  • Spark integration
  • Airflow integration
• Egeria: Egeria Open Metadata and Governance. A metadata bus.

Community

• Slack: OpenLineage.slack.com
• Twitter: @OpenLineage
• Gougle group: [email protected]

Talks

• Metadata day 2020. Open Lineage lightning talk
• Open Core Summit 2020. Observability for data pipelines. OpenLineage project launch
• Data Driven NYC Feb 2021. Data Observability and Pipelines: OpenLineage and Marquez
• Big Data Technology Warsaw Summit. Data lineage and Observability with Marquez and OpenLineage

Contributing

See CONTRIBUTING.md for more details about how to contribute.