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What is Data.Rentgen?

Data.Rentgen is a Data Motion Lineage service, compatible with OpenLineage specification.

Currently we support consuming lineage from:

  • Apache Spark

  • Apache Airflow

  • Apache Hive

  • Apache Flink

  • dbt

  • SyncMaster (proprietary integration, part of MWS Data Bridge)

  • StarRocks (proprietary integration, part of MWS Data Engine)

Note: service is under active development, so API can be unstable.

Goals

  • Collect lineage events produced by OpenLineage clients & integrations.

  • Store operation-grained events for better detalization.

  • Provide API for fetching both job/run ↔ dataset lineage and dataset ↔ dataset lineage.

Features

  • Support consuming large amounts of lineage events, use Apache Kafka as event buffer.

  • Store data in tables partitioned by event timestamp, to speed up lineage graph resolution.

  • Lineage graph is build with user-specified time boundaries.

  • Lineage graph can be build with different granularity. e.g. merge all individual Spark commands into Spark applicationId or Spark applicationName.

  • Column-level lineage support.

  • Authentication support.

Non-goals

  • This is not a Data Catalog. DataRentgen doesn’t track dataset schema change, owner and so on. Use Datahub or OpenMetadata instead.

  • Static Data Lineage like view → table is not supported.

Limitations

  • OpenLineage have integrations with Trino, Debezium and some other lineage sources. DataRentgen support may be added later.

  • DataRentgen parses only limited set of OpenLineage facets, and doesn’t store custom facets. This can be changed in future.

Documentation

See https://data-rentgen.readthedocs.io/

Screenshots

Lineage graph

Dataset-level lineage graph

Dataset-level lineage graph

Dataset column-level lineage graph

Dataset column-level lineage graph

Job-level lineage graph

Job-level lineage graph

Run-level lineage graph

Job-level lineage graph

Hierarchy graph

Job hierarchy

Datasets

Datasets list

Runs

Runs list

Spark application

Spark application details

Spark run

Spark run details

Spark command

Spark command details

Hive query

Hive query details

Airflow DagRun

Airflow DagRun details

Airflow TaskInstance

Airflow TaskInstance details

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