Skip to main content

Creating Tags

Why Would You Create Tags?

Tags are informal, loosely controlled labels that help in search & discovery. They can be added to datasets, dataset schemas, or containers, for an easy way to label or categorize entities – without having to associate them to a broader business glossary or vocabulary.

For moreinformation about tags, refer to About DataHub Tags.

Goal Of This Guide

This guide will show you how to create a tag named Deprecated.

Prerequisites

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

Create Tags With GraphQL

note

Please note that there are two available endpoints (:8000, :9002) to access GraphQL. For more information about the differences between these endpoints, please refer to DataHub Metadata Service

GraphQL Explorer

GraphQL Explorer is the fastest way to experiment with GraphQL without any dependancies. Navigate to GraphQL Explorer (http://localhost:9002/api/graphiql) and run the following query.

mutation createTag {
createTag(input:
{
name: "Deprecated",
description: "Having this tag means this column or table is deprecated."
})
}

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

{
"data": {
"createTag": "<tag_urn>"
},
"extensions": {}
}

CURL

With CURL, you need to provide tokens. To generate a token, please refer to Access Token Management. With accessToken, you can run the following command.

curl --location --request POST 'http://localhost:8080/api/graphql' \
--header 'Authorization: Bearer <my-access-token>' \
--header 'Content-Type: application/json' \
--data-raw '{ "query": "mutation createTag { createTag(input: { name: \"Deprecated\", description: \"Having this tag means this column or table is deprecated.\" }) }", "variables":{}}'

Expected Response:

{ "data": { "createTag": "<tag_urn>" }, "extensions": {} }

Create Tags With Python SDK

The following code creates a tag named Deprecated. You can refer to the full code in create_tag.py.

import logging

from datahub.emitter.mce_builder import make_tag_urn
from datahub.emitter.mcp import MetadataChangeProposalWrapper
from datahub.emitter.rest_emitter import DatahubRestEmitter

# Imports for metadata model classes
from datahub.metadata.schema_classes import TagPropertiesClass

log = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)

tag_urn = make_tag_urn("deprecated")
tag_properties_aspect = TagPropertiesClass(
name="Deprecated",
description="Having this tag means this column or table is deprecated.",
)

event: MetadataChangeProposalWrapper = MetadataChangeProposalWrapper(
entityUrn=tag_urn,
aspect=tag_properties_aspect,
)

# Create rest emitter
rest_emitter = DatahubRestEmitter(gms_server="http://localhost:8080")
rest_emitter.emit(event)
log.info(f"Created tag {tag_urn}")

We're using the MetdataChangeProposalWrapper to change entities in this example. For more information about the MetadataChangeProposal, please refer to MetadataChangeProposal & MetadataChangeLog Events

Expected Outcomes

You can now see Deprecated tag has been created.

tag-created

What's Next?

Now that you created a tag, how about adding it to a dataset? Here's a guide on how to add a tag on a dataset.