Manage data usage labels for datasets using APIs

The Dataset Service API allows you to apply and edit usage labels for datasets. It is part of Adobe Experience Platform’s data catalog capabilities, but is separate from the Catalog Service API which manages dataset metadata.

This document covers how to manage labels for datasets and fields using the Dataset Service API. For steps on how to manage data usage labels themselves using API calls, see the labels endpoint guide for the Policy Service API.

Getting started

Before you read this guide, follow the steps outlined in the getting started section in the Catalog developer guide to gather the required credentials to make calls to Platform APIs.

In order to make calls to the endpoints outlined in this document, you must have the unique id value for a specific dataset. If you do not have this value, see the guide on listing Catalog objects to find the IDs of your existing datasets.

Look up labels for a dataset look-up

You can look up the data usage labels that have been applied to an existing dataset by making a GET request to the Dataset Service API.

API format

GET /datasets/{DATASET_ID}/labels

Request

curl -X GET \
  'https://platform.adobe.io/data/foundation/dataset/datasets/5abd49645591445e1ba04f87/labels' \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}'

Response

A successful response returns the data usage labels that have been applied to the dataset.

{
  "AEP:dataset:5abd49645591445e1ba04f87": {
    "imsOrg": "{ORG_ID}",
    "labels": [ "C1", "C2", "C3", "I1", "I2" ],
    "optionalLabels": [
      {
        "option": {
          "id": "https://ns.adobe.com/{TENANT_ID}/schemas/c6b1b09bc3f2ad2627c1ecc719826836",
          "contentType": "application/vnd.adobe.xed-full+json;version=1",
          "schemaPath": "/properties/repositoryCreatedBy"
        },
        "labels": [ "S1", "S2" ]
      }
    ]
  }
}

Apply labels to a dataset apply

You can apply a set of labels for an entire dataset by providing them in the payload of a POST or PUT request to the Dataset Service API. The request body is the same for both calls. You cannot add labels to individual dataset fields.

API format

POST /datasets/{DATASET_ID}/labels
PUT /datasets/{DATASET_ID}/labels

Request

The example POST request below updates the entire dataset with a C1 label. The fields provided in the payload are the same as would be required for a PUT request.

When making API calls that update the existing labels of a dataset (PUT), an If-Match header that indicates the current version of the dataset-label entity in Dataset Service must be included. In order to prevent data collisions, the service will only update the dataset entity if the included If-Match string matches the latest version tag generated by the system for that dataset.

To retrieve the most recent version of the dataset-label entity, make a GET request to the /datasets/{DATASET_ID}/labels endpoint. The current value is returned in the response under an etag header. When updating existing dataset labels, best practice is to first perform a lookup request for the dataset in order to fetch its latest etag value before using that value in the If-Match header of your subsequent PUT request.

curl -X POST \
  'https://platform.adobe.io/data/foundation/dataset/datasets/5abd49645591445e1ba04f87/labels' \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -H 'Content-Type: application/json' \
  -d '{
        "entityId": {
          "namespace": "AEP",
          "id": "test-ds-id",
          "type": "dataset"
        },
        "labels": [
          "C1"
        ],
        "parents": []
      } '

Response

A successful response returns the updated set of labels for the dataset.

{
  "parents": [
      {
        "id": "_ddgduleint.schemas.4a95cdba7d560e3bca7d8c5c7b58f00ca543e2bb1e4137d6",
        "type": "schema",
        "namespace": "AEP"
      }
  ],
  "optionalLabels": [],
  "labels": [
      "C1"
  ],
  "code": "PES-201",
  "message": "POST Successful"
}

Remove labels from a dataset remove

You can remove any previously applied field labels by either updating the existing optionalLabels value(s) with a subset of the existing field labels, or an empty list to remove them entirely. Make a PUT request to the Dataset Service API to update or remove previously applied labels.

API format

PUT /datasets/{DATASET_ID}/labels

Request

The below dataset on which PUT operation is applied had C1 optionalLabel on properties/person/properties/address field and C1, C2 optionalLabels on /properties/person/properties/name/properties/fullName field. After the put operation, first field will have no label (C1 label got removed) and second field will have only C1 label (C2 label got removed)

In the example scenario below, a PUT request is used to remove labels aded to individual fields. Before the request was made, the fullName field had the C1 and C2 labels applied, and the address field already had a C1 label applied. The PUT request overrides existing labels C1, C2 labels from the fullName field with a C1 label using the optionalLabels.labels parameter. The request also overrides the C1 label from the address field with an empty set of field labels.

curl -X PUT \
  'https://platform.adobe.io/data/foundation/dataset/datasets/5abd49645591445e1ba04f87/labels' \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -H 'Content-Type: application/json' \
  -H 'If-Match: 8f00d38e-0000-0200-0000-5ef4fc6d0000' \
  -d '{
        "entityId": {
          "namespace": "AEP",
          "id": "646b814d52e1691c07b41032",
          "type": "dataset"
        },
        "labels": [
          "C1"
        ],
        "parents": [
          {
            "id": "_xdm.context.identity-graph-flattened-export",
            "type": "schema",
            "namespace": "AEP"
          }
        ],
        "optionalLabels": [
          {
            "option": {
              "id": "https://ns.adobe.com/xdm/context/identity-graph-flattened-export",
              "contentType": "application/vnd.adobe.xed-full+json;version=1",
              "schemaPath": "/properties/person/properties/name/properties/fullName"
            },
            "labels": [
              "C1"
            ]
          },
          {
            "option": {
              "id": "https://ns.adobe.com/xdm/context/identity-graph-flattened-export",
              "contentType": "application/vnd.adobe.xed-full+json;version=1",
              "schemaPath": "/properties/person/properties/address"
            },
            "labels": []
          }
        ]
      }'

Response

A successful response returns the updated set of labels for the dataset.

{
  "parents": [
      {
        "id": "_xdm.context.identity-graph-flattened-export",
        "type": "schema",
        "namespace": "AEP"
      }
  ],
  "optionalLabels": [],
  "labels": [
      "C1"
  ],
  "code": "PES-200",
  "message": "PUT Successful"
}

Next steps

By reading this document, you have learned how to manage data usage labels for datasets and fields using the Dataset Service API. You can now define data usage policies and access control policies based on the labels you have applied.

For more information on managing datasets in Experience Platform, see the datasets overview.