Data types endpoint
Data types are used as reference-type fields in classes or schema field groups in the same way as basic literal fields, with the key difference being that data types can define multiple sub-fields. While similar to field groups in that they allow for the consistent use of a multi-field structure, data types are more flexible because they can be included anywhere in the schema structure whereas field groups can only be added at the root level. The /datatypes
endpoint in the Schema Registry API allows you to programmatically manage data types within your experience application.
Getting started
The endpoint used in this guide is part of the Schema Registry API. Before continuing, please review the getting started guide for links to related documentation, a guide to reading the sample API calls in this document, and important information regarding required headers that are needed to successfully make calls to any Experience Platform API.
Retrieve a list of data types list
You can list all data types under the global
or tenant
container by making a GET request to /global/datatypes
or /tenant/datatypes
, respectively.
API format
GET /{CONTAINER_ID}/datatypes?{QUERY_PARAMS}
{CONTAINER_ID}
global
for Adobe-created data types or tenant
for data types owned by your organization.{QUERY_PARAMS}
Request
The following request retrieves a list of data types from the tenant
container, using an orderby
query parameter to sort the data types by their title
attribute.
curl -X GET \
https://platform.adobe.io/data/foundation/schemaregistry/tenant/datatypes?orderby=title \
-H 'Accept: application/vnd.adobe.xed-id+json' \
-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}'
The response format depends on the Accept
header sent in the request. The following Accept
headers are available for listing data types:
Accept
headerapplication/vnd.adobe.xed-id+json
application/vnd.adobe.xed+json
$ref
and allOf
included. (Limit: 300)Response
The request above used the application/vnd.adobe.xed-id+json
Accept
header, therefore the response includes only the title
, $id
, meta:altId
, and version
attributes for each data type. Using the other Accept
header (application/vnd.adobe.xed+json
) returns all attributes of each data type. Select the appropriate Accept
header depending on the information you require in your response.
{
"results": [
{
"$id": "https://ns.adobe.com/{TENANT_ID}/datatypes/78570e371092c032260714dd8bfd6d44",
"meta:altId": "_{TENANT_ID}.datatypes.78570e371092c032260714dd8bfd6d44",
"version": "1.0",
"title": "Loyalty"
},
{
"$id": "https://ns.adobe.com/{TENANT_ID}/datatypes/4b0329b5573cbb7cb757db667d7fdf66",
"meta:altId": "_{TENANT_ID}.datatypes.4b0329b5573cbb7cb757db667d7fdf66",
"version": "1.0",
"title": "Property Details"
}
],
"_page": {
"orderby": "title",
"next": null,
"count": 2
},
"_links": {
"next": null,
"global_schemas": {
"href": "https://platform.adobe.io/data/foundation/schemaregistry/global/datatypes?orderby=title"
}
}
}
Look up a data type lookup
You can look up a specific data type by including the data type’s ID in the path of a GET request.
API format
GET /{CONTAINER_ID}/datatypes/{DATA_TYPE_ID}
{CONTAINER_ID}
global
for an Adobe-created data type or tenant
for a data type owned by your organization.{DATA_TYPE_ID}
meta:altId
or URL-encoded $id
of the data type you want to look up.Request
The following request retrieves a data type by its meta:altId
value provided in the path.
curl -X GET \
https://platform.adobe.io/data/foundation/schemaregistry/tenant/datatypes/_{TENANT_ID}.datatypes.78570e371092c032260714dd8bfd6d44 \
-H 'Accept: application/vnd.adobe.xed+json' \
-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}'
The response format depends on the Accept
header sent in the request. All lookup requests require a version
be included in the Accept
header. The following Accept
headers are available:
Accept
headerapplication/vnd.adobe.xed+json; version=1
$ref
and allOf
, has titles and descriptions.application/vnd.adobe.xed-full+json; version=1
$ref
and allOf
resolved, has titles and descriptions.application/vnd.adobe.xed-notext+json; version=1
$ref
and allOf
, no titles or descriptions.application/vnd.adobe.xed-full-notext+json; version=1
$ref
and allOf
resolved, no titles or descriptions.application/vnd.adobe.xed-full-desc+json; version=1
$ref
and allOf
resolved, descriptors included.Response
A successful response returns the details of the data type. The fields that are returned depend on the Accept
header sent in the request. Experiment with different Accept
headers to compare the responses and determine which header is best for your use case.
{
"$id": "https://ns.adobe.com/{TENANT_ID}/datatypes/78570e371092c032260714dd8bfd6d44",
"meta:altId": "_{TENANT_ID}.datatypes.78570e371092c032260714dd8bfd6d44",
"meta:resourceType": "datatypes",
"version": "1.0",
"title": "Loyalty",
"type": "object",
"description": "Loyalty object containing loyalty-specific fields.",
"definitions": {
"customFields": {
"properties": {
"loyaltyId": {
"title": "Loyalty ID",
"description": "Unique loyalty program member ID. Should be in the format of an email address.",
"type": "string",
"meta:xdmType": "string"
},
"memberSince": {
"title": "Member Since",
"description": "Date person joined loyalty program.",
"type": "string",
"format": "date",
"meta:xdmType": "date"
},
"points": {
"title": "Points",
"description": "Accumulated loyalty points",
"type": "integer",
"meta:xdmType": "int"
},
"loyaltyLevel": {
"title": "Loyalty Level",
"description": "The current loyalty program level to which the individual member belongs.",
"type": "string",
"enum": [
"platinum",
"gold",
"silver",
"bronze"
],
"meta:enum": {
"platinum": "Platinum",
"gold": "Gold",
"silver": "Silver",
"bronze": "Bronze"
},
"meta:xdmType": "string"
}
},
"type": "object",
"meta:xdmType": "object"
}
},
"allOf": [
{
"$ref": "#/definitions/customFields"
}
],
"imsOrg": "{ORG_ID}",
"meta:extensible": true,
"meta:abstract": true,
"meta:xdmType": "object",
"meta:registryMetadata": {
"repo:createdDate": 1557529442681,
"repo:lastModifiedDate": 1557529442681,
"xdm:createdClientId": "{CLIENT_ID}",
"xdm:lastModifiedClientId": "{CLIENT_ID}",
"xdm:lastModifiedUserId": "{USER_ID}",
"eTag": "50b8008b588e911314f9685240dd4c23a247f37179a6d9ff6ba3877dc11ca504",
"meta:globalLibVersion": "1.15.4"
},
"meta:containerId": "tenant",
"meta:tenantNamespace": "_{TENANT_ID}"
}
Create a data type create
You can define a custom data type under the tenant
container by making a POST request.
API format
POST /tenant/datatypes
Request
Unlike field groups, defining a data type does not require meta:extends
or meta:intendedToExtend
fields, nor do fields need to be nested to avoid collisions.
When it comes to defining the field structure of data type itself, you can use primitive types (like string
or object
) or you can reference other existing data types through $ref
attributes. See the guide on defining custom XDM fields in the API for detailed guidance on the expected format for different XDM field types.
The following request creates a “Property Construction” object data type with sub-properties yearBuilt
, propertyType
, and location
:
curl -X POST \
https://platform.adobe.io/data/foundation/schemaregistry/tenant/datatypes \
-H 'Authorization: Bearer {ACCESS_TOKEN}' \
-H 'Content-Type: application/json' \
-H 'x-api-key: {API_KEY}' \
-H 'x-gw-ims-org-id: {ORG_ID}' \
-H 'x-sandbox-name: {SANDBOX_NAME}' \
-d '{
"title": "Property Construction",
"description": "Information related to the property construction",
"type": "object",
"properties": {
"yearBuilt": {
"type": "integer",
"title": "Year Built",
"description": "The year the property was constructed."
},
"propertyType": {
"type": "string",
"title": "Property Type",
"description": "Type of building or structure in which the property exists.",
"enum": [
"freeStanding",
"mall",
"shoppingCenter"
],
"meta:enum": {
"freeStanding": "Free Standing Building",
"mall": "Mall Space",
"shoppingCenter": "Shopping Center"
}
},
"location": {
"title": "Location",
"description": "The physical location of the property.",
"$ref": "https://ns.adobe.com/xdm/common/address"
}
}
}'
Response
A successful response returns HTTP status 201 (Created) and a payload containing the details of the newly created data type, including the $id
, meta:altId
, and version
. These three values are read-only and are assigned by the Schema Registry.
{
"$id": "https://ns.adobe.com/{TENANT_ID}/datatypes/669ffcc61cf5e94e8640dbe6a15f0f24eb3cd1ddbbfb6b36",
"meta:altId": "_{TENANT_ID}.datatypes.669ffcc61cf5e94e8640dbe6a15f0f24eb3cd1ddbbfb6b36",
"meta:resourceType": "datatypes",
"version": "1.0",
"title": "Property Construction",
"type": "object",
"description": "Information related to the property construction",
"properties": {
"yearBuilt": {
"type": "integer",
"title": "Year Built",
"description": "The year the property was constructed.",
"meta:xdmType": "int"
},
"propertyType": {
"type": "string",
"title": "Property Type",
"description": "Type of building or structure in which the property exists.",
"enum": [
"freeStanding",
"mall",
"shoppingCenter"
],
"meta:enum": {
"freeStanding": "Free Standing Building",
"mall": "Mall Space",
"shoppingCenter": "Shopping Center"
},
"meta:xdmType": "string"
},
"location": {
"title": "Location",
"description": "The physical location of the property.",
"$ref": "https://ns.adobe.com/xdm/common/address",
"type": "object",
"meta:xdmType": "object"
}
},
"refs": [
"https://ns.adobe.com/xdm/common/address"
],
"imsOrg": "{ORG_ID}",
"meta:extensible": true,
"meta:abstract": true,
"meta:xdmType": "object",
"meta:registryMetadata": {
"repo:createdDate": 1670885230789,
"repo:lastModifiedDate": 1670885230789,
"xdm:createdClientId": "{CLIENT_ID}",
"xdm:lastModifiedClientId": "{CLIENT_ID}",
"xdm:createdUserId": "{USER_ID}",
"xdm:lastModifiedUserId": "{USER_ID}",
"eTag": "d3cc803a1f8daa06b7c150d882bd337d88f4d5d5f08d36cfc4c2849dc0255f7e",
"meta:globalLibVersion": "1.38.3.1"
},
"meta:containerId": "tenant",
"meta:sandboxId": "1bd86660-c5da-11e9-93d4-6d5fc3a66a8e",
"meta:sandboxType": "production",
"meta:tenantNamespace": "_{TENANT_ID}"
}
Performing a GET request to list all data types in the tenant container would now include the Property Details data type, or you can perform a lookup (GET) request using the URL-encoded $id
URI to view the new data type directly.
Update a data type put
You can replace an entire data type through a PUT operation, essentially re-writing the resource. When updating a data type through a PUT request, the body must include all of the fields that would be required when creating a new data type in a POST request.
API format
PUT /tenant/datatypes/{DATA_TYPE_ID}
{DATA_TYPE_ID}
meta:altId
or URL-encoded $id
of the data type you want to re-write.Request
The following request re-writes an existing data type, adding a new floorSize
field.
curl -X PUT \
https://platform.adobe.io/data/foundation/schemaregistry/tenant/datatypes/_{TENANT_ID}.datatypes.7602bc6e97e5786a31c95d9e6531a1596687433451d97bc1 \
-H 'Authorization: Bearer {ACCESS_TOKEN}' \
-H 'Content-Type: application/json' \
-H 'x-api-key: {API_KEY}' \
-H 'x-gw-ims-org-id: {ORG_ID}' \
-H 'x-sandbox-name: {SANDBOX_NAME}' \
-d '{
"title": "Property Construction",
"description": "Information related to the property construction",
"type": "object",
"properties": {
"yearBuilt": {
"type": "integer",
"title": "Year Built",
"description": "The year the property was constructed."
},
"propertyType": {
"type": "string",
"title": "Property Type",
"description": "Type of building or structure in which the property exists.",
"enum": [
"freeStanding",
"mall",
"shoppingCenter"
],
"meta:enum": {
"freeStanding": "Free Standing Building",
"mall": "Mall Space",
"shoppingCenter": "Shopping Center"
}
},
"floorSize" {
"type": "integer",
"title": "Floor Size",
"description": "The floor size of the property, in square feet."
}
}
}'
Response
A successful response returns the details of the updated data type.
{
"$id": "https://ns.adobe.com/{TENANT_ID}/datatypes/7602bc6e97e5786a31c95d9e6531a1596687433451d97bc1",
"meta:altId": "_{TENANT_ID}.datatypes.7602bc6e97e5786a31c95d9e6531a1596687433451d97bc1",
"meta:resourceType": "datatypes",
"version": "1.0",
"title": "Property Construction",
"type": "object",
"description": "Information related to the property construction",
"properties": {
"yearBuilt": {
"type": "integer",
"title": "Year Built",
"description": "The year the property was constructed.",
"meta:xdmType": "int"
},
"propertyType": {
"type": "string",
"title": "Property Type",
"description": "Type of building or structure in which the property exists.",
"enum": [
"freeStanding",
"mall",
"shoppingCenter"
],
"meta:enum": {
"freeStanding": "Free Standing Building",
"mall": "Mall Space",
"shoppingCenter": "Shopping Center"
},
"meta:xdmType": "string"
},
"floorSize" {
"type": "integer",
"title": "Floor Size",
"description": "The floor size of the property, in square feet.",
"meta:xdmType": "int"
}
},
"refs": [],
"imsOrg": "{ORG_ID}",
"meta:extensible": true,
"meta:abstract": true,
"meta:xdmType": "object",
"meta:registryMetadata": {
"repo:createdDate": 1604524729435,
"repo:lastModifiedDate": 1604524729435,
"xdm:createdClientId": "{CLIENT_ID}",
"xdm:lastModifiedClientId": "{CLIENT_ID}",
"xdm:createdUserId": "{USER_ID}",
"xdm:lastModifiedUserId": "{USER_ID}",
"eTag": "1c838764342756868ca1297869f582a38d15f03ed0acfc97fda7532d22e942c7",
"meta:globalLibVersion": "1.15.4"
},
"meta:containerId": "tenant",
"meta:sandboxId": "ff0f6870-c46d-11e9-8ca3-036939a64204",
"meta:sandboxType": "production",
"meta:tenantNamespace": "_{TENANT_ID}"
}
Update a portion of a data type patch
You can update a portion of a data type by using a PATCH request. The Schema Registry supports all standard JSON Patch operations, including add
, remove
, and replace
. For more information on JSON Patch, see the API fundamentals guide.
API format
PATCH /tenant/data type/{DATA_TYPE_ID}
{DATA_TYPE_ID}
$id
URI or meta:altId
of the data type you want to update.Request
The example request below updates the description
of an existing data type, and adds a new floorSize
field.
The request body takes the form of an array, with each listed object representing a specific change to an individual field. Each object includes the operation to be performed (op
), which field the operation should be performed on (path
), and what information should be included in that operation (value
).
curl -X PATCH \
https://platform.adobe.io/data/foundation/schemaregistry/tenant/datatypes/_{TENANT_ID}.datatypes.8779fd45d6e4eb074300023a439862bbba359b60d451627a \
-H 'Authorization: Bearer {ACCESS_TOKEN}' \
-H 'x-api-key: {API_KEY}' \
-H 'x-gw-ims-org-id: {ORG_ID}' \
-H 'x-sandbox-name: {SANDBOX_NAME}' \
-H 'content-type: application/json' \
-d '[
{
"op": "replace",
"path": "/description",
"value": "Construction-related information for a company-operated property."
},
{
"op": "add",
"path": "/properties/floorSize",
"value": {
"type": "integer",
"title": "Floor Size",
"description": "The floor size of the property, in square feet."
}
}
]'
Response
The response shows that both operations were performed successfully. The description
has been updated, and floorSize
has been added under definitions
.
{
"$id": "https://ns.adobe.com/{TENANT_ID}/datatypes/8779fd45d6e4eb074300023a439862bbba359b60d451627a",
"meta:altId": "_{TENANT_ID}.datatypes.8779fd45d6e4eb074300023a439862bbba359b60d451627a",
"meta:resourceType": "datatypes",
"version": "1.2",
"title": "Property Details",
"type": "object",
"description": "Details relating to a property operated by the company.",
"definitions": {
"property": {
"properties": {
"_{TENANT_ID}": {
"type": "object",
"properties": {
"propertyName": {
"type": "string",
"title": "Property Name",
"description": "Name of the property"
},
"propertyCity": {
"title": "Property City",
"description": "City where the property is located.",
"type": "string"
},
"propertyCountry": {
"title": "Property Country",
"description": "Country where the property is located.",
"type": "string"
},
"phoneNumber": {
"title": "Phone Number",
"description": "Primary phone number for the property.",
"type": "string"
},
"propertyType": {
"type": "string",
"title": "Property Type",
"description": "Type and primary use of property.",
"enum": [
"retail",
"yoga",
"fitness"
],
"meta:enum": {
"retail": "Retail Store",
"yoga": "Yoga Studio",
"fitness": "Fitness Center"
}
},
"propertyConstruction": {
"$ref": "https://ns.adobe.com/{TENANT_ID}/datatypes/24c643f618647344606222c494bd0102"
}
}
}
}
}
},
"allOf": [
{
"$ref": "#/definitions/customFields",
"type": "object",
"meta:xdmType": "object"
}
],
"imsOrg": "{ORG_ID}",
"meta:extensible": true,
"meta:abstract": true,
"meta:intendedToExtend": [
"https://ns.adobe.com/xdm/context/profile"
],
"meta:xdmType": "object",
"meta:registryMetadata": {
"repo:createdDate": 1594941263588,
"repo:lastModifiedDate": 1594941538433,
"xdm:createdClientId": "{CLIENT_ID}",
"xdm:lastModifiedClientId": "{CLIENT_ID}",
"xdm:createdUserId": "{USER_ID}",
"xdm:lastModifiedUserId": "{USER_ID}",
"eTag": "5e8a5e508eb2ed344c08cb23ed27cfb60c841bec59a2f7513deda0f7af903021",
"meta:globalLibVersion": "1.15.4"
},
"meta:containerId": "tenant",
"meta:tenantNamespace": "_{TENANT_ID}"
}
Delete a data type delete
It may occasionally be necessary to remove a data type from the Schema Registry. This is done by performing a DELETE request with the data type ID provided in the path.
API format
DELETE /tenant/datatypes/{DATA_TYPE_ID}
{DATA_TYPE_ID}
$id
URI or meta:altId
of the data type you want to delete.Request
curl -X DELETE \
https://platform.adobe.io/data/foundation/schemaregistry/tenant/datatypes/_{TENANT_ID}.datatypes.d5cc04eb8d50190001287e4c869ebe67 \
-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 204 (No Content) and a blank body.
You can confirm the deletion by attempting a lookup (GET) request to the data type. You will need to include an Accept
header in the request, but should receive an HTTP status 404 (Not Found) because the data type has been removed from the Schema Registry.