DocumentationExperience PlatformData Ingestion Guide

Stream time-series data using Streaming Ingestion APIs

Last update: Thu Oct 03 2024 00:00:00 GMT+0000 (Coordinated Universal Time)

CREATED FOR:

  • Developer

This tutorial will help you begin using streaming ingestion APIs, part of the Adobe Experience Platform Data Ingestion Service APIs.

Getting started

This tutorial requires a working knowledge of various Adobe Experience Platform services. Before beginning this tutorial, please review the documentation for the following services:

  • Experience Data Model (XDM): The standardized framework by which Platform organizes experience data.
  • Real-Time Customer Profile: Provides a unified, consumer profile in real time based on aggregated data from multiple sources.
  • Schema Registry developer guide: A comprehensive guide that covers each of the available endpoints of the Schema Registry API and how to make calls to them. This includes knowing your {TENANT_ID}, which appears in calls throughout this tutorial, as well as knowing how to create schemas, which is used in creating a dataset for ingestion.

Additionally, this tutorial requires that you have already created a streaming connection. For more information on creating a streaming connection, please read the create a streaming connection tutorial.

Using Platform APIs

For information on how to successfully make calls to Platform APIs, see the guide on getting started with Platform APIs.

Compose a schema based off of the XDM ExperienceEvent class

To create a dataset, you will first need to create a new schema that implements the XDM ExperienceEvent class. For more information about how to create schemas, please read the Schema Registry API developer guide.

API format

POST /schemaregistry/tenant/schemas

Request

curl -X POST https://platform.adobe.io/data/foundation/schemaregistry/tenant/schemas
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'Content-Type: application/json' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -d '{
    "type": "object",
    "title": "{SCHEMA_NAME}",
    "description": "{SCHEMA_DESCRIPTION}",
    "allOf": [
        {
            "$ref": "https://ns.adobe.com/xdm/context/experienceevent"
        },
        {
            "$ref": "https://ns.adobe.com/xdm/context/experienceevent-environment-details"
        },
        {
            "$ref": "https://ns.adobe.com/xdm/context/experienceevent-commerce"
        },
        {
         "$ref":"https://ns.adobe.com/experience/campaign/experienceevent-profile-work-details"
        }
    ],
    "meta:immutableTags": [
        "union"
    ]
}'
Property
Description
title
The name you want to use for your schema. This name must be unique.
description
A meaningful description for the schema you are creating.
meta:immutableTags
In this example, the union tag is used to persist your data into Real-Time Customer Profile.

Response

A successful response returns HTTP status 201 with details of your newly created schema.

{
    "$id": "https://ns.adobe.com/{TENANT_ID}/schemas/{SCHEMA_ID}",
    "meta:altId": "_{TENANT_ID}.schemas.{SCHEMA_ID}",
    "meta:resourceType": "schemas",
    "version": "1",
    "type": "object",
    "title": "{SCHEMA_NAME}",
    "description": "{SCHEMA_DESCRIPTION}",
    "allOf": [
        {
            "$ref": "https://ns.adobe.com/xdm/context/experienceevent",
            "type": "object",
            "meta:xdmType": "object"
        },
        {
            "$ref": "https://ns.adobe.com/xdm/context/experienceevent-environment-details",
            "type": "object",
            "meta:xdmType": "object"
        },
        {
            "$ref": "https://ns.adobe.com/xdm/context/experienceevent-commerce",
            "type": "object",
            "meta:xdmType": "object"
        },
        {
            "$ref": "https://ns.adobe.com/experience/campaign/experienceevent-profile-work-details",
            "type": "object",
            "meta:xdmType": "object"
        }
    ],
    "refs": [
        "https://ns.adobe.com/xdm/context/experienceevent-commerce",
        "https://ns.adobe.com/experience/campaign/experienceevent-profile-work-details",
        "https://ns.adobe.com/xdm/context/experienceevent-environment-details",
        "https://ns.adobe.com/xdm/context/experienceevent"
    ],
    "imsOrg": "{ORG_ID}",
    "meta:immutableTags": [
        "union"
    ],
    "meta:class": "https://ns.adobe.com/xdm/context/experienceevent",
    "required": [
        "@id",
        "xdm:timestamp"
    ],
    "meta:abstract": false,
    "meta:extensible": false,
    "meta:extends": [
        "https://ns.adobe.com/xdm/context/experienceevent",
        "https://ns.adobe.com/xdm/data/time-series",
        "https://ns.adobe.com/xdm/context/identitymap",
        "https://ns.adobe.com/xdm/context/experienceevent-environment-details",
        "https://ns.adobe.com/xdm/context/experienceevent-commerce",
        "https://ns.adobe.com/experience/campaign/experienceevent-profile-work-details"
    ],
    "meta:containerId": "tenant",
    "imsOrg": "{ORG_ID}",
    "meta:xdmType": "object",
    "meta:class": "https://ns.adobe.com/xdm/context/experienceevent",
    "meta:registryMetadata": {
        "repo:createDate": 1551229957987,
        "repo:lastModifiedDate": 1551229957987,
        "xdm:createdClientId": "{CLIENT_ID}",
        "xdm:repositoryCreatedBy": "{CREATED_BY}"
    },
    "meta:tenantNamespace": "{NAMESPACE}"
}
Property
Description
{TENANT_ID}
This ID is used to ensure that resources you create are namespaced properly and contained within your organization. For more information about the Tenant ID, please read the schema registry guide.

Please take note of the $id as well as the version attributes, as both of these will be used when creating your dataset.

Set a primary identity descriptor for the schema

Next, add an identity descriptor to the schema created above, using the work email address attribute as the primary identifier. Doing this will result in two changes:

  1. The work email address will become a mandatory field. This means messages sent without this field will fail validation and will not be ingested.

  2. Real-Time Customer Profile will use the work email address as an identifier to help stitch together more information about that individual.

Request

curl -X POST https://platform.adobe.io/data/foundation/schemaregistry/tenant/descriptors \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'Content-Type: application/json' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -d '{
    "@type":"xdm:descriptorIdentity",
    "xdm:sourceProperty":"/_experience/campaign/message/profileSnapshot/workEmail/address",
    "xdm:property":"xdm:code",
    "xdm:isPrimary":true,
    "xdm:namespace":"Email",
    "xdm:sourceSchema":"{SCHEMA_REF_ID}",
    "xdm:sourceVersion":1
}
Property
Description
{SCHEMA_REF_ID}
The $id that you previously received when you composed the schema. It should look something like this: "https://ns.adobe.com/{TENANT_ID}/schemas/{SCHEMA_ID}"
NOTE
​ Identity Namespace Codes
Please ensure that the codes are valid - the example above uses “email” which is a standard identity namespace. Other commonly used standard identity namespaces can be found within the Identity Service FAQ.
If you would like to create a custom namespace, follow the steps outlined in the identity namespace overview.

Response

A successful response returns HTTP status 201 with information on the newly created primary identity namespace for the schema.

{
    "xdm:property": "xdm:code",
    "xdm:sourceSchema": "https://ns.adobe.com/{TENANT_ID}/schemas/{SCHEMA_ID}",
    "xdm:namespace": "Email",
    "@type": "xdm:descriptorIdentity",
    "xdm:sourceVersion": 1,
    "xdm:isPrimary": true,
    "xdm:sourceProperty": "/_experience/campaign/message/profileSnapshot/workEmail/address",
    "@id": "ec31c09e0906561861be5a71fcd964e29ebe7923b8eb0d1e",
    "meta:containerId": "tenant",
    "version": "1",
    "imsOrg": "{ORG_ID}"
}

Create a dataset for time series data

Once you have created your schema, you will need to create a dataset to ingest record data.

NOTE
This dataset will be enabled for Real-Time Customer Profile and Identity by setting the appropriate tags.

API format

POST /catalog/dataSets

Request

curl -X POST https://platform.adobe.io/data/foundation/catalog/dataSets \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'Content-Type: application/json' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {ORG_ID}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -d '{
    "name": "{DATASET_NAME}",
    "description": "{DATASET_DESCRIPTION}",
    "schemaRef": {
        "id": "{SCHEMA_REF_ID}",
        "contentType": "application/vnd.adobe.xed-full+json;version=1"
    },
    "tags": {
        "unifiedIdentity": ["enabled:true"],
        "unifiedProfile": ["enabled:true"]
    }
}'

Response

A successful response returns HTTP status 201 and an array containing the ID of the newly created dataset in the format @/dataSets/{DATASET_ID}.

[
    "@/dataSets/5e72608b10f6e318ad2dee0f"
]

Create a streaming connection

After creating your schema and dataset, you will need to create a streaming connection to ingest your data.

For more information on creating a streaming connection, please read the create a streaming connection tutorial.

Ingest time series data to the streaming connection

With the dataset, streaming connection, and dataflow created, you can ingest XDM-formatted JSON records to ingest time series data within Platform.

API format

POST /collection/{CONNECTION_ID}?syncValidation=true
Parameter
Description
{CONNECTION_ID}
The id value of your newly created streaming connection.
syncValidation
An optional query parameter intended for development purposes. If set to true, it can be used for immediate feedback to determine if the request was successfully sent. By default, this value is set to false. Please note that if you set this query parameter to true that the request will be rate limited to 60 times per minute per CONNECTION_ID.

Request

Ingesting time series data to a streaming connection can be done either with or without the source name.

The example request below ingests time series data with a missing source name to Platform. If the data is missing the source name, it will add the source ID from the streaming connection definition.

Both xdmEntity._id and xdmEntity.timestamp are required fields for time-series data. The xdmEntity._id attribute represents a unique identifier for the record itself, not a unique ID of the person or device whose record it is.

You will need to generate your own xdmEntity._id and xdmEntity.timestamp for the record in a way that remains consistent if the record ever needs to be re-ingested. Ideally, your source system will contain these values. If an ID is not available, consider concatenating values of other fields in the record to create a unique value that can be consistently regenerated from the record on re-ingestion.

NOTE
The following API call does not require any authentication headers.
curl -X POST https://dcs.adobedc.net/collection/{CONNECTION_ID}?syncValidation=true \
  -H "Content-Type: application/json" \
  -d '{
    "header": {
    "datasetId": "{DATASET_ID}",
    "flowId": "{FLOW_ID}",
    "imsOrgID": "{ORG_ID}"
    },
    "body": {
        "xdmMeta": {
            "schemaRef": {
                "id": "https://ns.adobe.com/{TENANT_ID}/schemas/{SCHEMA_ID}",
                "contentType": "application/vnd.adobe.xed-full+json;version=1"
            },
        "identityMap": {
                "Email": [
                  {
                    "id": "acme_user@gmail.com",
                    "primary": true
                  }
                ]
              },
        },
        "xdmEntity":{
            "_id": "9af5adcc-db9c-4692-b826-65d3abe68c22",
            "timestamp": "2019-02-23T22:07:01Z",
            "environment": {
                "browserDetails": {
                    "userAgent": "Mozilla\/5.0 (Windows NT 5.1) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/29.0.1547.57 Safari\/537.36 OPR\/16.0.1196.62",
                    "acceptLanguage": "en-US",
                    "cookiesEnabled": true,
                    "javaScriptVersion": "1.6",
                    "javaEnabled": true
                },
                "colorDepth": 32,
                "viewportHeight": 799,
                "viewportWidth": 414
            },
            "productListItems": [
                {
                    "SKU": "CC",
                    "name": "Fernie Snow",
                    "quantity": 30,
                    "priceTotal": 7.8
                }
            ],
            "commerce": {
                "productViews": {
                    "value": 1
                }
            },
            "_experience": {
                "campaign": {
                    "message": {
                        "profileSnapshot": {
                            "workEmail":{
                                "address": "janedoe@example.com"
                            }
                        }
                    }
                }
            }
        }
    }
}'

If you want to include a source name, the following example shows how you would include it.

    "header": {
    "datasetId": "{DATASET_ID}",
    "flowId": "{FLOW_ID}",
    "imsOrgID": "{ORG_ID}",
      "source": {
        "name": "ACME source"
      }
    }

Response

An successful response returns HTTP status 200 with details of the newly streamed Profile.

{
    "inletId": "{CONNECTION_ID}",
    "xactionId": "1584479347507:2153:240",
    "receivedTimeMs": 1584479347507,
    "syncValidation": {
        "status": "pass"
    }
}
Property
Description
{CONNECTION_ID}
The inletId of the previously created streaming connection.
xactionId
A unique identifier generated server-side for the record you just sent. This ID helps Adobe trace this record’s lifecycle through various systems and with debugging.
receivedTimeMs: A timestamp (epoch in milliseconds) that shows what time the request was received.
syncValidation.status
Since the query parameter syncValidation=true was added, this value will appear. If the validation has succeeded, the status will be pass.

Retrieve the newly ingested time series data

To validate the previously ingested records, you can use the Profile Access API to retrieve the time series data. This can be done using a GET request to the /access/entities endpoint and using optional query parameters. Multiple parameters can be used, separated by ampersands (&)."

NOTE
If the merge policy ID is not defined and the schema.name or relatedSchema.name is _xdm.context.profile, Profile Access will fetch all related identities.

API format

GET /access/entities
GET /access/entities?{QUERY_PARAMETERS}
GET /access/entities?schema.name=_xdm.context.experienceevent&relatedSchema.name=_xdm.context.profile&relatedEntityId=janedoe@example.com&relatedEntityIdNS=email
Parameter
Description
schema.name
Required. The name of the schema you are accessing.
relatedSchema.name
Required. Since you are accessing a _xdm.context.experienceevent, this value specifies the schema for the profile entity that the time series events are related to.
relatedEntityId
The ID of the related entity. If provided, you must also provide the entity namespace.
relatedEntityIdNS
The namespace of the ID you are trying to retrieve.

Request

curl -X GET \
  https://platform.adobe.io/data/core/ups/access/entities?schema.name=_xdm.context.experienceevent&relatedSchema.name=_xdm.context.profile&relatedEntityId=janedoe@example.com&relatedEntityIdNS=email \
  -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 HTTP status 200 with details of the entities requested. As you can see, this is the same time series data that was previously ingested.

{
    "_page": {
        "orderby": "timestamp",
        "start": "9af5adcc-db9c-4692-b826-65d3abe68c22",
        "count": 1,
        "next": ""
    },
    "children": [
        {
            "relatedEntityId": "BVrqzwVv7o2p3naHvnsWpqZXv3KJgA",
            "entityId": "9af5adcc-db9c-4692-b826-65d3abe68c22",
            "timestamp": 1582495621000,
            "entity": {
                "environment": {
                    "browserDetails": {
                        "javaScriptVersion": "1.6",
                        "cookiesEnabled": true,
                        "userAgent": "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/29.0.1547.57 Safari/537.36 OPR/16.0.1196.62",
                        "acceptLanguage": "en-US",
                        "javaEnabled": true
                    },
                    "colorDepth": 32,
                    "viewportHeight": 799,
                    "viewportWidth": 414
                },
                "_id": "9af5adcc-db9c-4692-b826-65d3abe68c22",
                "commerce": {
                    "productViews": {
                        "value": 1
                    }
                },
                "productListItems": [
                    {
                        "name": "Fernie Snow",
                        "quantity": 30,
                        "SKU": "CC",
                        "priceTotal": 7.8
                    }
                ],
                "_experience": {
                    "campaign": {
                        "message": {
                            "profileSnapshot": {
                                "workEmail": {
                                    "address": "janedoe@example.com"
                                }
                            }
                        }
                    }
                },
                "timestamp": "2020-02-23T22:07:01Z"
            },
            "lastModifiedAt": "2020-03-18T18:51:19Z"
        }
    ],
    "_links": {
        "next": {
            "href": ""
        }
    }
}

Next steps

By reading this document, you now understand how to ingest record data into Platform using streaming connections. You can try making more calls with different values and retrieving the updated values. Additionally, you can start monitoring your ingested data through Platform UI. For more information, please read the monitoring data ingestion guide.

For more information about streaming ingestion in general, please read the streaming ingestion overview.

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