Lineage

Why Would You Use Lineage?

Lineage is used to capture data dependencies within an organization. It allows you to track the inputs from which a data asset is derived, along with the data assets that depend on it downstream. For more information about lineage, refer to About DataHub Lineage.

Goal Of This Guide

This guide will show you how to

Add lineage between datasets.
Add column-level lineage between datasets.

Prerequisites

For this tutorial, you need to deploy DataHub Quickstart and ingest sample data. For detailed steps, please refer to Datahub Quickstart Guide.

:::note Before adding lineage, you need to ensure the targeted dataset is already present in your datahub. If you attempt to manipulate entities that do not exist, your operation will fail. In this guide, we will be using data from sample ingestion. :::

Add Lineage

mutation updateLineage {
  updateLineage(
    input: {
      edgesToAdd: [
        {
          downstreamUrn: "urn:li:dataset:(urn:li:dataPlatform:hive,logging_events,PROD)"
          upstreamUrn: "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_deleted,PROD)"
        }
      ]
      edgesToRemove: []
    }
  )
}

Note that you can create a list of edges. For example, if you want to assign multiple upstream entities to a downstream entity, you can do the following.

mutation updateLineage {
  updateLineage(
    input: {
      edgesToAdd: [
        {
          downstreamUrn: "urn:li:dataset:(urn:li:dataPlatform:hive,logging_events,PROD)"
          upstreamUrn: "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_deleted,PROD)"
        }
        {
          downstreamUrn: "urn:li:dataset:(urn:li:dataPlatform:hive,logging_events,PROD)"
          upstreamUrn: "urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_created,PROD)"
        }
      ]
      edgesToRemove: []
    }
  )
}

For more information about the updateLineage mutation, please refer to updateLineage.

If you see the following response, the operation was successful:

{
  "data": {
    "updateLineage": true
  },
  "extensions": {}
}

curl --location --request POST 'http://localhost:8080/api/graphql' \
--header 'Authorization: Bearer <my-access-token>' \
--header 'Content-Type: application/json'  --data-raw '{ "query": "mutation updateLineage { updateLineage( input:{ edgesToAdd : { downstreamUrn: \"urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_deleted,PROD)\", upstreamUrn : \"urn:li:dataset:(urn:li:dataPlatform:hive,logging_events,PROD)\"}, edgesToRemove :{downstreamUrn: \"urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_deleted,PROD)\",upstreamUrn : \"urn:li:dataset:(urn:li:dataPlatform:hive,fct_users_deleted,PROD)\" } })}", "variables":{}}'

Expected Response:

{ "data": { "updateLineage": true }, "extensions": {} }

{{ inline /metadata-ingestion/examples/library/lineage_emitter_rest.py show_path_as_comment }}

Expected Outcomes of Adding Lineage

You can now see the lineage between fct_users_deleted and logging_events.

Add Column-level Lineage

{{ inline /metadata-ingestion/examples/library/lineage_emitter_dataset_finegrained_sample.py show_path_as_comment }}

Expected Outcome of Adding Column Level Lineage

You can now see the column-level lineage between datasets. Note that you have to enable Show Columns to be able to see the column-level lineage.

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