Connect to batch destinations and activate data using the Flow Service API

Documentation Experience Platform Destinations Guide

Connect to file-based email marketing destinations and activate data using the Flow Service API

Last update: Tue May 28 2024 00:00:00 GMT+0000 (Coordinated Universal Time)

Topics:
Destinations

CREATED FOR:

Admin
User

IMPORTANT

To connect to a destination, you need the View Destinations and Manage Destinations access control permissions.
To activate data, you need the View Destinations, Activate Destinations, View Profiles, and View Segments access control permissions.
To export identities, you need the View Identity Graph access control permission.
{width="100" modal="regular"}

Read the access control overview or contact your product administrator to obtain the required permissions.

This tutorial demonstrates how to use the Flow Service API to create a file-based email marketing destination, create a dataflow to your newly created destination, and export data to your newly created destination via CSV files.

TIP

To learn how to activate data to cloud storage destinations using the Flow Service API, read the dedicated API tutorial.

This tutorial uses the 蜜豆视频 Campaign destination in all examples, but the steps are identical for file-based email marketing destinations.

Overview - the steps to create a destination and activate audiences

If you prefer to use the Platform user interface to connect to a destination and activate data, see the Connect a destination and Activate audience data to batch profile export destinations tutorials.

Getting started get-started

This guide requires a working understanding of the following components of 蜜豆视频 Experience Platform:

Experience Data Model (XDM) System: The standardized framework by which Experience Platform organizes customer experience data.
Segmentation Service: 蜜豆视频 Experience Platform Segmentation Service allows you to build audiences in 蜜豆视频 Experience Platform from your Real-Time Customer Profile data.
Sandboxes: Experience Platform provides virtual sandboxes which partition a single Platform instance into separate virtual environments to help develop and evolve digital experience applications.

The following sections provide additional information that you need to know in order to activate data to batch destinations in Platform.

Gather required credentials gather-required-credentials

To complete the steps in this tutorial, you should have the following credentials ready, depending on the type of destination that you are connecting and activating audiences to.

For Amazon S3 connections: accessId, secretKey
For Amazon S3 connections to 蜜豆视频 Campaign: accessId, secretKey
For SFTP connections: domain, port, username, password or sshKey (depending on the connection method to the FTP location)
For Azure Blob connections: connectionString

NOTE

The credentials accessId, secretKey for Amazon S3 connections and accessId, secretKey for Amazon S3 connections to 蜜豆视频 Campaign are identical.

Reading sample API calls reading-sample-api-calls

This tutorial provides example API calls to demonstrate how to format your requests. These include paths, required headers, and properly formatted request payloads. Sample JSON returned in API responses is also provided. For information on the conventions used in documentation for sample API calls, see the section on how to read example API calls in the Experience Platform troubleshooting guide.

Gather values for required and optional headers gather-values-headers

In order to make calls to Platform APIs, you must first complete the . Completing the authentication tutorial provides the values for each of the required headers in all Experience Platform API calls, as shown below:

Authorization: Bearer {ACCESS_TOKEN}
x-api-key: {API_KEY}
x-gw-ims-org-id: {ORG_ID}

Resources in Experience Platform can be isolated to specific virtual sandboxes. In requests to Platform APIs, you can specify the name and ID of the sandbox that the operation will take place in. These are optional parameters.

x-sandbox-name: {SANDBOX_NAME}

NOTE

For more information on sandboxes in Experience Platform, see the sandbox overview documentation.

All requests that contain a payload (POST, PUT, PATCH) require an additional media type header:

Content-Type: application/json

API reference documentation api-reference-documentation

You can find accompanying reference documentation for all the API operations in this tutorial. Refer to the . We recommend that you use this tutorial and the API reference documentation in parallel.

Get the list of available destinations get-the-list-of-available-destinations

Destination steps overview step 1

As a first step, you should decide which destination to activate data to. To begin with, perform a call to request a list of available destinations that you can connect and activate audiences to. Perform the following GET request to the connectionSpecs endpoint to return a list of available destinations:

API format

GET /connectionSpecs

Request

curl --location --request GET 'https://platform.adobe.io/data/foundation/flowservice/connectionSpecs' \
--header 'accept: application/json' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}'

Response

A successful response contains a list of available destinations and their unique identifiers (id). Store the value of the destination that you plan to use, as it will be required in further steps. For example, if you want to connect and deliver audiences to 蜜豆视频 Campaign, look for the following snippet in the response:

{
    "id": "0b23e41a-cb4a-4321-a78f-3b654f5d7d97",
  "name": "蜜豆视频 Campaign",
  ...
  ...
}

For your reference, the table below contains the connection spec IDs for commonly used batch destinations:

Destination

Connection spec ID

蜜豆视频 Campaign

0b23e41a-cb4a-4321-a78f-3b654f5d7d97

Oracle Eloqua

c1e44b6b-e7c8-404b-9031-58f0ef760604

Oracle Responsys

a5e28ddf-e265-426e-83a1-9d03a3a6822b

Salesforce Marketing Cloud

f599a5b3-60a7-4951-950a-cc4115c7ea27

Connect to your Experience Platform data connect-to-your-experience-platform-data

Destination steps overview step 2

Next, you must connect to your Experience Platform data, so you can export profile data and activate it in your preferred destination. This consists of two substeps which are described below.

First, you must perform a call to authorize access to your data in Experience Platform, by setting up a base connection.
Then, using the base connection ID, perform another call in which you create a source connection, which establishes the connection to your Experience Platform data.

Authorize access to your data in Experience Platform

API format

POST /connections

Request

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--data-raw '{
            "name": "Base connection to Experience Platform",
            "description": "This call establishes the connection to Experience Platform data",
            "connectionSpec": {
                "id": "{CONNECTION_SPEC_ID}",
                "version": "1.0"
            }
}'

Property

Description

name

Provide a name for the base connection to the Experience Platform Profile store.

description

Optionally, you can provide a description for the base connection.

connectionSpec.id

Use the connection spec ID for the Experience Platform Profile store - 8a9c3494-9708-43d7-ae3f-cda01e5030e1.

Response

A successful response contains the base connection鈥檚 unique identifier (id). Store this value as it is required in the next step to create the source connection.

{
    "id": "1ed86558-59b5-42f7-9865-5859b552f7f4"
}

Connect to your Experience Platform data connect-to-platform-data

API format

POST /sourceConnections

Request

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/sourceConnections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--data-raw '{
            "name": "Connecting to Profile store",
            "description": "Optional",
            "connectionSpec": {
                "id": "{CONNECTION_SPEC_ID}",
                "version": "1.0"
            },
            "baseConnectionId": "{BASE_CONNECTION_ID}",
            "data": {
                "format": "CSV",
                "schema": null
            },
            "params" : {}
}'

Property

Description

name

Provide a name for the source connection to the Experience Platform Profile store.

description

Optionally, you can provide a description for the source connection.

connectionSpec.id

Use the connection spec ID for the Experience Platform Profile store - 8a9c3494-9708-43d7-ae3f-cda01e5030e1.

baseConnectionId

Use the base connection ID you have obtained in the previous step.

data.format

CSV is currently the only supported file export format.

Response

A successful response returns the unique identifier (id) for the newly created source connection to Profile store. This confirms that you have successfully connected to your Experience Platform data. Store this value as it is required in a later step.

{
    "id": "ed48ae9b-c774-4b6e-88ae-9bc7748b6e97"
}

Connect to batch destination connect-to-batch-destination

Destination steps overview step 3

In this step, you are setting up a connection to your desired batch cloud storage or email marketing destination. This consists of two substeps which are described below.

First, you must perform a call to authorize access to the destination platform, by setting up a base connection.
Then, using the base connection ID, you will make another call in which you create a target connection, which specifies the location in your storage account where the exported data files will be delivered, as well as the format of the data that will be exported.

Authorize access to the batch destination authorize-access-to-batch-destination

API format

POST /connections

Request

The request below establishes a base connection to 蜜豆视频 Campaign destinations. Depending on the storage location where you want to export files to (Amazon S3, SFTP, Azure Blob), keep the appropriate auth specification and delete the others.

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "S3 Connection for 蜜豆视频 Campaign",
    "description": "summer advertising campaign",
    "connectionSpec": {
        "id": "0b23e41a-cb4a-4321-a78f-3b654f5d7d97",
        "version": "1.0"
    },
    "auth": {
        "specName": "S3",
        "params": {
            "accessId": "{ACCESS_ID}",
            "secretKey": "{SECRET_KEY}"
        }
    }
    "auth": {
        "specName": "SFTP with Password",
        "params": {
            "domain": "{DOMAIN}",
            "host": "{HOST}",
            "username": "{USERNAME}",
            "password": "{PASSWORD}"
        }
    }
    "auth": {
        "specName": "SFTP with SSH Key",
        "params": {
            "domain": "{DOMAIN}",
            "host": "{HOST}",
            "username": "{USERNAME}",
            "sshKey": "{SSH_KEY}"
        }
    }
    "auth": {
        "specName": "Azure Blob",
        "params": {
            "connectionString": "{AZURE_BLOB_CONNECTION_STRING}"
        }
    }
}'

See the example requests below to connect to other supported batch cloud storage and email marketing destinations.

Example request to connect to Amazon S3 destinations

The request below establishes a base connection to Amazon S3 destinations.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'x-sandbox-name: {SANDBOX_NAME}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "Connect to Amazon S3", "description": "summer advertising campaign", "connectionSpec": { "id": "4890fc95-5a1f-4983-94bb-e060c08e3f81", "version": "1.0" }, "auth": { "specName": "Access Key", "params": { "s3AccessKey": "{AMAZON_S3_ACCESS_KEY}", "s3SecretKey": "{AMAZON_S3_SECRET_KEY}" } } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "Connect to Amazon S3",
    "description": "summer advertising campaign",
    "connectionSpec": {
        "id": "4890fc95-5a1f-4983-94bb-e060c08e3f81",
        "version": "1.0"
    },
    "auth": {
        "specName": "Access Key",
        "params": {
            "s3AccessKey": "{AMAZON_S3_ACCESS_KEY}",
            "s3SecretKey": "{AMAZON_S3_SECRET_KEY}"
        }
    }
}'

Example request to connect to Azure Blob destinations

The request below establishes a base connection to Azure Blob destinations.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'x-sandbox-name: {SANDBOX_NAME}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "Connect to Azure Blob", "description": "Summer advertising campaign", "connectionSpec": { "id": "e258278b-a4cf-43ac-b158-4fa0ca0d948b", "version": "1.0" }, "auth": { "specName": "ConnectionString", "params": { "connectionString": "{AZURE_BLOB_CONNECTION_STRING}" } } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "Connect to Azure Blob",
    "description": "Summer advertising campaign",
    "connectionSpec": {
        "id": "e258278b-a4cf-43ac-b158-4fa0ca0d948b",
        "version": "1.0"
    },
    "auth": {
        "specName": "ConnectionString",
        "params": {
            "connectionString": "{AZURE_BLOB_CONNECTION_STRING}"
        }
    }
}'

Example request to connect to Oracle Eloqua destinations

The request below establishes a base connection to Oracle Eloqua destinations. Depending on the storage location where you want to export files to, keep the appropriate auth specification and delete the others.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'x-sandbox-name: {SANDBOX_NAME}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "Connect to Eloqua destination", "description": "summer advertising campaign", "connectionSpec": { "id": "c1e44b6b-e7c8-404b-9031-58f0ef760604", "version": "1.0" }, "auth": { "specName": "SFTP with Password", "params": { "domain": "{DOMAIN}", "host": "{HOST}", "username": "{USERNAME}", "password": "{PASSWORD}" } } "auth": { "specName": "SFTP with SSH Key", "params": { "domain": "{DOMAIN}", "host": "{HOST}", "username": "{USERNAME}", "sshKey": "{SSH_KEY}" } } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "Connect to Eloqua destination",
    "description": "summer advertising campaign",
    "connectionSpec": {
        "id": "c1e44b6b-e7c8-404b-9031-58f0ef760604",
        "version": "1.0"
    },
    "auth": {
        "specName": "SFTP with Password",
        "params": {
            "domain": "{DOMAIN}",
            "host": "{HOST}",
            "username": "{USERNAME}",
            "password": "{PASSWORD}"
        }
    }
    "auth": {
        "specName": "SFTP with SSH Key",
        "params": {
            "domain": "{DOMAIN}",
            "host": "{HOST}",
            "username": "{USERNAME}",
            "sshKey": "{SSH_KEY}"
        }
    }
}'

Example request to connect to Oracle Responsys destinations

The request below establishes a base connection to Oracle Responsys destinations. Depending on the storage location where you want to export files to, keep the appropriate auth specification and delete the others.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'x-sandbox-name: {SANDBOX_NAME}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "Connect to Responsys destination", "description": "summer advertising campaign", "connectionSpec": { "id": "a5e28ddf-e265-426e-83a1-9d03a3a6822b", "version": "1.0" }, "auth": { "specName": "SFTP with Password", "params": { "domain": "{DOMAIN}", "host": "{HOST}", "username": "{USERNAME}", "password": "{PASSWORD}" } } "auth": { "specName": "SFTP with SSH Key", "params": { "domain": "{DOMAIN}", "host": "{HOST}", "username": "{USERNAME}", "sshKey": "{SSH_KEY}" } } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "Connect to Responsys destination",
    "description": "summer advertising campaign",
    "connectionSpec": {
        "id": "a5e28ddf-e265-426e-83a1-9d03a3a6822b",
        "version": "1.0"
    },
    "auth": {
        "specName": "SFTP with Password",
        "params": {
            "domain": "{DOMAIN}",
            "host": "{HOST}",
            "username": "{USERNAME}",
            "password": "{PASSWORD}"
        }
    }
    "auth": {
        "specName": "SFTP with SSH Key",
        "params": {
            "domain": "{DOMAIN}",
            "host": "{HOST}",
            "username": "{USERNAME}",
            "sshKey": "{SSH_KEY}"
        }
    }
}'

Example request to connect to Salesforce Marketing Cloud destinations

The request below establishes a base connection to Salesforce Marketing Cloud destinations. Depending on the storage location where you want to export files to, keep the appropriate auth specification and delete the others.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'x-sandbox-name: {SANDBOX_NAME}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "Connect to Salesforce Marketing Cloud", "description": "summer advertising campaign", "connectionSpec": { "id": "f599a5b3-60a7-4951-950a-cc4115c7ea27", "version": "1.0" }, "auth": { "specName": "SFTP with Password", "params": { "domain": "{DOMAIN}", "host": "{HOST}", "username": "{USERNAME}", "password": "{PASSWORD}" } } "auth": { "specName": "SFTP with SSH Key", "params": { "domain": "{DOMAIN}", "host": "{HOST}", "username": "{USERNAME}", "sshKey": "{SSH_KEY}" } } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "Connect to Salesforce Marketing Cloud",
    "description": "summer advertising campaign",
    "connectionSpec": {
        "id": "f599a5b3-60a7-4951-950a-cc4115c7ea27",
        "version": "1.0"
    },
    "auth": {
        "specName": "SFTP with Password",
        "params": {
            "domain": "{DOMAIN}",
            "host": "{HOST}",
            "username": "{USERNAME}",
            "password": "{PASSWORD}"
        }
    }
    "auth": {
        "specName": "SFTP with SSH Key",
        "params": {
            "domain": "{DOMAIN}",
            "host": "{HOST}",
            "username": "{USERNAME}",
            "sshKey": "{SSH_KEY}"
        }
    }
}'

Example request to connect to SFTP with password destinations

The request below establishes a base connection to SFTP destinations.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'x-sandbox-name: {SANDBOX_NAME}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "Connect to SFTP with password", "description": "summer advertising campaign", "connectionSpec": { "id": "64ef4b8b-a6e0-41b5-9677-3805d1ee5dd0", "version": "1.0" }, "auth": { "specName": "Basic Authentication for sftp", "params": { "host": "{HOST}", "username": "{USERNAME}", "password": "{PASSWORD}" } } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/connections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "Connect to SFTP with password",
    "description": "summer advertising campaign",
    "connectionSpec": {
        "id": "64ef4b8b-a6e0-41b5-9677-3805d1ee5dd0",
        "version": "1.0"
    },
    "auth": {
        "specName": "Basic Authentication for sftp",
        "params": {
            "host": "{HOST}",
            "username": "{USERNAME}",
            "password": "{PASSWORD}"
        }
    }
}'

Property

Description

name

Provide a name for the base connection to the batch destination.

description

Optionally, you can provide a description for the base connection.

connectionSpec.id

Use the connection spec ID for your desired batch destination. You obtained this ID in the step Get the list of available destinations.

auth.specname

Indicates the authentication format for the destination. To find out the specName for your destination, perform a , providing the connection spec of your desired destination. Look for the parameter authSpec.name in the response.
For example, for 蜜豆视频 Campaign destinations, you can use any of S3, SFTP with Password, or SFTP with SSH Key.

params

Depending on the destination that you are connecting to, you must provide different required authentication parameters. For Amazon S3 connections, you must provide your access ID and secret key to your Amazon S3 storage location.
To find out the required parameters for your destination, perform a , providing the connection spec of your desired destination. Look for the parameter authSpec.spec.required in the response.

Response

A successful response contains the base connection鈥檚 unique identifier (id). Store this value as it is required in the next step to create a target connection.

{
    "id": "1ed86558-59b5-42f7-9865-5859b552f7f4"
}

Specify storage location and data format specify-storage-location-data-format

蜜豆视频 Experience Platform exports data for batch email marketing and cloud storage destinations in the form of CSV files. In this step, you can determine the path in your storage location where the files will be exported.

IMPORTANT

蜜豆视频 Experience Platform automatically splits the export files at 5 million records (rows) per file. Each row represents one profile.

Split file names are appended with a number that indicates the file is part of a larger export, as such: filename.csv, filename_2.csv, filename_3.csv.

API format

POST /targetConnections

Request

The request below establishes a target connection to 蜜豆视频 Campaign destinations, to determine where the exported files will land in your storage location. Depending on the storage location where you want to export files to, keep the appropriate params specification and delete the others.

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "TargetConnection for 蜜豆视频 Campaign",
    "description": "Connection to 蜜豆视频 Campaign",
    "baseConnectionId": "{BASE_CONNECTION_ID}",
    "connectionSpec": {
        "id": "0b23e41a-cb4a-4321-a78f-3b654f5d7d97",
        "version": "1.0"
    },
    "data": {
        "format": "json",
        "schema": {
            "id": "1.0",
            "version": "1.0"
        }
    },
    "params": {
        "mode": "S3",
        "bucketName": "{BUCKET_NAME}",
        "path": "{FILEPATH}",
        "format": "CSV"
    }
    "params": {
        "mode": "AZURE_BLOB",
        "container": "{CONTAINER}",
        "path": "{FILEPATH}",
        "format": "CSV"
    }
    "params": {
        "mode": "FTP",
        "remotePath": "{REMOTE_PATH}",
        "format": "CSV"
    }
}'

See the example requests below to set up a storage location for other supported batch cloud storage and email marketing destinations.

Example request to set up a storage location for Amazon S3 destinations

The request below establishes a target connection to Amazon S3 destinations, to determine where the exported files will land in your storage location.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "TargetConnection for Amazon S3", "description": "Connection to Amazon S3", "baseConnectionId": "{BASE_CONNECTION_ID}", "connectionSpec": { "id": "4890fc95-5a1f-4983-94bb-e060c08e3f81", "version": "1.0" }, "data": { "format": "json", "schema": { "id": "1.0", "version": "1.0" } }, "params": { "mode": "S3", "bucketName": "{BUCKET_NAME}", "path": "{FILEPATH}", "format": "CSV" } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "TargetConnection for Amazon S3",
    "description": "Connection to Amazon S3",
    "baseConnectionId": "{BASE_CONNECTION_ID}",
    "connectionSpec": {
        "id": "4890fc95-5a1f-4983-94bb-e060c08e3f81",
        "version": "1.0"
    },
    "data": {
        "format": "json",
        "schema": {
            "id": "1.0",
            "version": "1.0"
        }
    },
    "params": {
        "mode": "S3",
        "bucketName": "{BUCKET_NAME}",
        "path": "{FILEPATH}",
        "format": "CSV"
    }
}'

Example request to set up a storage location for Azure Blob destinations

The request below establishes a target connection to Azure Blob destinations, to determine where the exported files will land in your storage location.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "TargetConnection for Azure Blob", "description": "Connection to Azure Blob", "baseConnectionId": "{BASE_CONNECTION_ID}", "connectionSpec": { "id": "e258278b-a4cf-43ac-b158-4fa0ca0d948b", "version": "1.0" }, "data": { "format": "json", "schema": { "id": "1.0", "version": "1.0" } }, "params": { "mode": "AZURE_BLOB", "container": "{CONTAINER}", "path": "{FILEPATH}", "format": "CSV" } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "TargetConnection for Azure Blob",
    "description": "Connection to Azure Blob",
    "baseConnectionId": "{BASE_CONNECTION_ID}",
    "connectionSpec": {
        "id": "e258278b-a4cf-43ac-b158-4fa0ca0d948b",
        "version": "1.0"
    },
    "data": {
        "format": "json",
        "schema": {
            "id": "1.0",
            "version": "1.0"
        }
    },
    "params": {
        "mode": "AZURE_BLOB",
        "container": "{CONTAINER}",
        "path": "{FILEPATH}",
        "format": "CSV"
    }
}'

Example request to set up a storage location for Oracle Eloqua destinations

The request below establishes a target connection to Oracle Eloqua destinations, to determine where the exported files will land in your storage location. Depending on the storage location where you want to export files to, keep the appropriate params specification and delete the others.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "TargetConnection for Oracle Eloqua", "description": "Connection to Oracle Eloqua", "baseConnectionId": "{BASE_CONNECTION_ID}", "connectionSpec": { "id": "c1e44b6b-e7c8-404b-9031-58f0ef760604", "version": "1.0" }, "data": { "format": "json", "schema": { "id": "1.0", "version": "1.0" } }, "params": { "mode": "S3", "bucketName": "{BUCKET_NAME}", "path": "{FILEPATH}", "format": "CSV" } "params": { "mode": "FTP", "remotePath": "{REMOTE_PATH}", "format": "CSV" } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "TargetConnection for Oracle Eloqua",
    "description": "Connection to Oracle Eloqua",
    "baseConnectionId": "{BASE_CONNECTION_ID}",
    "connectionSpec": {
        "id": "c1e44b6b-e7c8-404b-9031-58f0ef760604",
        "version": "1.0"
    },
    "data": {
        "format": "json",
        "schema": {
            "id": "1.0",
            "version": "1.0"
        }
    },
    "params": {
        "mode": "S3",
        "bucketName": "{BUCKET_NAME}",
        "path": "{FILEPATH}",
        "format": "CSV"
    }
    "params": {
        "mode": "FTP",
        "remotePath": "{REMOTE_PATH}",
        "format": "CSV"
    }
}'

Example request to set up a storage location for Oracle Responsys destinations

The request below establishes a target connection to Oracle Responsys destinations, to determine where the exported files will land in your storage location. Depending on the storage location where you want to export files to, keep the appropriate params specification and delete the others.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "TargetConnection for Oracle Responsys", "description": "Connection to Oracle Responsys", "baseConnectionId": "{BASE_CONNECTION_ID}", "connectionSpec": { "id": "a5e28ddf-e265-426e-83a1-9d03a3a6822b", "version": "1.0" }, "data": { "format": "json", "schema": { "id": "1.0", "version": "1.0" } }, "params": { "mode": "S3", "bucketName": "{BUCKET_NAME}", "path": "{FILEPATH}", "format": "CSV" } "params": { "mode": "FTP", "remotePath": "{REMOTE_PATH}", "format": "CSV" } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "TargetConnection for Oracle Responsys",
    "description": "Connection to Oracle Responsys",
    "baseConnectionId": "{BASE_CONNECTION_ID}",
    "connectionSpec": {
        "id": "a5e28ddf-e265-426e-83a1-9d03a3a6822b",
        "version": "1.0"
    },
    "data": {
        "format": "json",
        "schema": {
            "id": "1.0",
            "version": "1.0"
        }
    },
    "params": {
        "mode": "S3",
        "bucketName": "{BUCKET_NAME}",
        "path": "{FILEPATH}",
        "format": "CSV"
    }
    "params": {
        "mode": "FTP",
        "remotePath": "{REMOTE_PATH}",
        "format": "CSV"
    }
}'

Example request to set up a storage location for Salesforce Marketing Cloud destinations

The request below establishes a target connection to Salesforce Marketing Cloud destinations, to determine where the exported files will land in your storage location. Depending on the storage location where you want to export files to, keep the appropriate params specification and delete the others.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "TargetConnection for Salesforce Marketing Cloud", "description": "Connection to Salesforce Marketing Cloud", "baseConnectionId": "{BASE_CONNECTION_ID}", "connectionSpec": { "id": "f599a5b3-60a7-4951-950a-cc4115c7ea27", "version": "1.0" }, "data": { "format": "json", "schema": { "id": "1.0", "version": "1.0" } }, "params": { "mode": "S3", "bucketName": "{BUCKET_NAME}", "path": "{FILEPATH}", "format": "CSV" } "params": { "mode": "FTP", "remotePath": "{REMOTE_PATH}", "format": "CSV" } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "TargetConnection for Salesforce Marketing Cloud",
    "description": "Connection to Salesforce Marketing Cloud",
    "baseConnectionId": "{BASE_CONNECTION_ID}",
    "connectionSpec": {
        "id": "f599a5b3-60a7-4951-950a-cc4115c7ea27",
        "version": "1.0"
    },
    "data": {
        "format": "json",
        "schema": {
            "id": "1.0",
            "version": "1.0"
        }
    },
    "params": {
        "mode": "S3",
        "bucketName": "{BUCKET_NAME}",
        "path": "{FILEPATH}",
        "format": "CSV"
    }
    "params": {
        "mode": "FTP",
        "remotePath": "{REMOTE_PATH}",
        "format": "CSV"
    }
}'

Example request to set up a storage location for SFTP destinations

The request below establishes a target connection to SFTP destinations, to determine where the exported files will land in your storage location.

code language-shell

code language-shell
curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \ --header 'Authorization: Bearer {ACCESS_TOKEN}' \ --header 'x-api-key: {API_KEY}' \ --header 'x-gw-ims-org-id: {ORG_ID}' \ --header 'Content-Type: application/json' \ --data-raw '{ "name": "TargetConnection for SFTP", "description": "Connection to SFTP", "baseConnectionId": "{BASE_CONNECTION_ID}", "connectionSpec": { "id": "64ef4b8b-a6e0-41b5-9677-3805d1ee5dd0", "version": "1.0" }, "data": { "format": "json", "schema": { "id": "1.0", "version": "1.0" } }, "params": { "mode": "FTP", "remotePath": "{REMOTE_PATH}", } }'

curl --location --request POST 'https://platform.adobe.io/data/foundation/flowservice/targetConnections' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "name": "TargetConnection for SFTP",
    "description": "Connection to SFTP",
    "baseConnectionId": "{BASE_CONNECTION_ID}",
    "connectionSpec": {
        "id": "64ef4b8b-a6e0-41b5-9677-3805d1ee5dd0",
        "version": "1.0"
    },
    "data": {
        "format": "json",
        "schema": {
            "id": "1.0",
            "version": "1.0"
        }
    },
    "params": {
        "mode": "FTP",
        "remotePath": "{REMOTE_PATH}",
    }
}'

Property

Description

name

Provide a name for the target connection to the batch destination.

description

Optionally, you can provide a description for the target connection.

baseConnectionId

Use the ID of the base connection you created in the step above.

connectionSpec.id

Use the connection spec ID for your desired batch destination. You obtained this ID in the step Get the list of available destinations.

params

Depending on the destination that you are connecting to, you must provide different required parameters to your storage location. For Amazon S3 connections, you must provide your access ID and secret key to your Amazon S3 storage location.
To find out the required parameters for your destination, perform a , providing the connection spec of your desired destination. Look for the parameter targetSpec.spec.required in the response.

params.mode

Depending on the supported mode for your destination, you must provide a different value here. To find out the required parameters for your destination, perform a , providing the connection spec of your desired destination. Look for the parameter targetSpec.spec.properties.mode.enum in the response and select the desired mode.

params.bucketName

For S3 connections, provide the name of the bucket where files will be exported.

params.path

For S3 connections, provide the file path in your storage location where files will be exported.

params.format

CSV is currently the only supported file export type.

Response

A successful response returns the unique identifier (id) for the newly created target connection to your batch destination. Store this value as it is required in later steps.

{
    "id": "12ab90c7-519c-4291-bd20-d64186b62da8"
}

Create a dataflow create-dataflow

Destination steps overview step 4

Using the flow spec, source connection, and target connection IDs that you obtained in the previous steps, you can now create a dataflow between your Experience Platform data and the destination where you will export data files. Think of this step as constructing the pipeline through which data will later flow between Experience Platform and your desired destination.

To create a dataflow, perform a POST request as shown below, while providing the values mentioned below within the payload.

API format

POST /flows

Request

curl -X POST \
'https://platform.adobe.io/data/foundation/flowservice/flows' \
-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  '{

        "name": "activate audiences to 蜜豆视频 Campaign",
        "description": "This operation creates a dataflow which we will later use to activate audiences to 蜜豆视频 Campaign",
        "flowSpec": {
            "id": "{FLOW_SPEC_ID}",
            "version": "1.0"
        },
        "sourceConnectionIds": [
            "{SOURCE_CONNECTION_ID}"
        ],
        "targetConnectionIds": [
            "{TARGET_CONNECTION_ID}"
        ],
        "transformations": [
            {
                "name": "GeneralTransform",
                "params": {
                    "segmentSelectors": {
                        "selectors": []
                    },
                    "profileSelectors": {
                        "selectors": []
                    }
                }
            }
        ]
    }

Property

Description

name

Provide a name for the dataflow you are creating.

description

Optionally, you can provide a description for the dataflow.

flowSpec.Id

Use the flow spec ID for the batch destination that you want to connect to. To retrieve the flow spec ID, perform a GET operation on the flowspecs endpoint, as shown in the . In the response, look for upsTo and copy the corresponding ID of the batch destination that you want to connect to. For example, for 蜜豆视频 Campaign, look for upsToCampaign and copy the id parameter.

sourceConnectionIds

Use the source connection ID you obtained in the step Connect to your Experience Platform data.

targetConnectionIds

Use the target connection ID you obtained in the step Connect to batch destination.

transformations

In the next step, you will populate this section with the audiences and profile attributes to be activated.

For your reference, the table below contains the flow spec IDs for commonly used batch destinations:

Destination

Flow spec ID

All cloud storage destinations (Amazon S3, SFTP, Azure Blob) and Oracle Eloqua

71471eba-b620-49e4-90fd-23f1fa0174d8

Oracle Responsys

51d675ce-e270-408d-91fc-22717bdf2148

Salesforce Marketing Cloud

493b2bd6-26e4-4167-ab3b-5e910bba44f0

Response

A successful response returns the ID (id) of the newly created dataflow and an etag. Note down both values as you will need them in the next step, to activate audiences and export data files.

{
    "id": "8256cfb4-17e6-432c-a469-6aedafb16cd5",
    "etag": "8256cfb4-17e6-432c-a469-6aedafb16cd5"
}

Activate data to your new destination activate-data

Destination steps overview step 5

Having created all the connections and the dataflow, you now can activate your profile data to the destination platform. In this step, you select which audiences and which profile attributes to export to the destination.

You can also determine the file naming format of the exported files and which attributes should be used as deduplication keys or mandatory attributes. In this step, you can also determine the schedule to send data to the destination.

To activate audiences to your new destination, you must perform a JSON PATCH operation, similar to the example below. You can activate mutiple audiences and profile attributes in one call. To learn more about JSON PATCH, see the .

API format

PATCH /flows

Request

curl --location --request PATCH 'https://platform.adobe.io/data/foundation/flowservice/flows/{DATAFLOW_ID}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'Content-Type: application/json' \
--header 'x-sandbox-name: {SANDBOX_NAME}' \
--header 'If-Match: "{ETAG}"' \
--data-raw '[
    {
        "op": "add",
        "path": "/transformations/0/params/segmentSelectors/selectors/-",
        "value": {
            "type": "PLATFORM_SEGMENT",
            "value": {
                "name": "Name of the audience that you are activating",
                "description": "Description of the audience that you are activating",
                "id": "{SEGMENT_ID}",
                "filenameTemplate": "%DESTINATION_NAME%_%SEGMENT_ID%_%DATETIME(YYYYMMdd_HHmmss)%",
                "exportMode": "DAILY_FULL_EXPORT",
                "schedule": {
                    "frequency": "ONCE",
                    "startDate": "2021-12-20",
                    "startTime": "17:00"
                }
            }
        }
    },
{
        "op": "add",
        "path": "/transformations/0/params/segmentSelectors/selectors/-",
        "value": {
            "type": "PLATFORM_SEGMENT",
            "value": {
                "name": "Name of the audience that you are activating",
                "description": "Description of the audience that you are activating",
                "id": "{SEGMENT_ID}",
                "filenameTemplate": "%DESTINATION_NAME%_%SEGMENT_ID%_%DATETIME(YYYYMMdd_HHmmss)%",
                "exportMode": "DAILY_FULL_EXPORT",
                "schedule": {
                    "frequency": "ONCE",
                    "triggerType": "SCHEDULED",
                    "startDate": "2021-12-20",
                    "startTime": "17:00"
                },
            }
        }
    },
{
        "op": "add",
        "path": "/transformations/0/params/profileSelectors/selectors/-",
        "value": {
            "type": "JSON_PATH",
            "value": {
                "path": "{PROFILE_ATTRIBUTE}"
            }
        }
    }
]

Property

Description

{DATAFLOW_ID}

In the URL, use the ID of the dataflow that you created in the previous step.

{ETAG}

Get the {ETAG} from the response in the previous step, Create a dataflow. The response format in the previous step has escaped quotes. You must use the unescaped values in the header of the request. See the example below:

Response example: "etag":""7400453a-0000-1a00-0000-62b1c7a90000""
Value to use in your request: "etag": "7400453a-0000-1a00-0000-62b1c7a90000"

The etag value updates with every successful update of a dataflow.

{SEGMENT_ID}

Provide the audience ID that you want to export to this destination. To retrieve audience IDs for the audiences that you want to activate, see in the Experience Platform API reference.

{PROFILE_ATTRIBUTE}

For example, "person.lastName"

op

The operation call used to define the action needed to update the dataflow. Operations include: add, replace, and remove. To add an audience to a dataflow, use the add operation.

path

Defines the part of the flow that is to be updated. When adding an audience to a dataflow, use the path specified in the example.

value

The new value you want to update your parameter with.

id

Specify the ID of the audience you are adding to the destination dataflow.

name

Optional. Specify the name of the audience you are adding to the destination dataflow. Note that this field is not mandatory and you can successfully add an audience to the destination dataflow without providing its name.

filenameTemplate

This field determines the file name format of the files that are exported to your destination.
The following options are available:

%DESTINATION_NAME%: Mandatory. The exported files contain the destination name.
%SEGMENT_ID%: Mandatory. The exported files contain the ID of the exported audience.
%SEGMENT_NAME%: Optional. The exported files contain the name of the exported audience.
DATETIME(YYYYMMdd_HHmmss) or %TIMESTAMP%: Optional. Select one of these two options for your files to include the time when they are generated by Experience Platform.
custom-text: Optional. Replace this placeholder with any custom text that you would like to append at the end of your file names.

For more information about configuring file names, refer to the configure file names section in the batch destinations activation tutorial.

exportMode

Mandatory. Select "DAILY_FULL_EXPORT" or "FIRST_FULL_THEN_INCREMENTAL". For more information about the two options, refer to export full files and export incremental files in the batch destinations activation tutorial.

startDate

Select the date when the audience should start exporting profiles to your destination.

frequency

Mandatory.

For the "DAILY_FULL_EXPORT" export mode, you can select ONCE or DAILY.
For the "FIRST_FULL_THEN_INCREMENTAL" export mode, you can select "DAILY", "EVERY_3_HOURS", "EVERY_6_HOURS", "EVERY_8_HOURS", "EVERY_12_HOURS".

triggerType

For batch destinations only. This field is required only when selecting the "DAILY_FULL_EXPORT" mode in the frequency selector.
Mandatory.

Select "AFTER_SEGMENT_EVAL" to have the activation job run immediately after the daily Platform batch segmentation job completes. This ensures that when the activation job runs, the most up-to-date profiles are exported to your destination.
Select "SCHEDULED" to have the activation job run at a fixed time. This ensures that Experience Platform profile data is exported at the same time each day, but the profiles you export may not be the most up-to-date, depending on whether the batch segmentation job has completed before the activation job starts. When selecting this option, you must also add a startTime to indicate at which time in UTC the daily exports should occur.

endDate

For batch destinations only. This field is required only when adding an audience to a dataflow in batch file export destinations like Amazon S3, SFTP, or Azure Blob.
Not applicable when selecting "exportMode":"DAILY_FULL_EXPORT" and "frequency":"ONCE".
Sets the date when audience members stop being exported to the destination.

startTime

For batch destinations only. This field is required only when adding an audience to a dataflow in batch file export destinations like Amazon S3, SFTP, or Azure Blob.
Mandatory. Select the time when files containing members of the audience should be generated and exported to your destination.

TIP

See Update components of an audience in a dataflow to learn how to update various components (file name template, export time, and so on) of exported audiences.

Response

Look for a 202 Accepted response. No response body is returned. To validate that the request was correct, see the next step, Validate the dataflow.

Validate the dataflow validate-dataflow

Destination steps overview step 6

As a final step in the tutorial, you should validate that the audiences and profile attributes have indeed been correctly mapped to the dataflow.

To validate this, perform the following GET request:

API format

GET /flows

Request

curl --location --request PATCH 'https://platform.adobe.io/data/foundation/flowservice/flows/{DATAFLOW_ID}' \
--header 'Authorization: Bearer {ACCESS_TOKEN}' \
--header 'x-api-key: {API_KEY}' \
--header 'x-gw-ims-org-id: {ORG_ID}' \
--header 'Content-Type: application/json' \
--header 'x-sandbox-name: prod' \
--header 'If-Match: "{ETAG}"'

{DATAFLOW_ID}: Use the dataflow from the previous step.
{ETAG}: Use the etag from the previous step.

Response

The returned response should include in the transformations parameter the audiences and profile attributes that you submitted in the previous step. A sample transformations parameter in the response could look like below:

"transformations":[
   {
      "name":"GeneralTransform",
      "params":{
         "profileSelectors":{
            "selectors":[
               {
                  "type":"JSON_PATH",
                  "value":{
                     "path":"homeAddress.countryCode",
                     "operator":"EXISTS",
                     "mapping":{
                        "sourceType":"text/x.schema-path",
                        "source":"homeAddress.countryCode",
                        "destination":"homeAddress.countryCode",
                        "identity":false,
                        "primaryIdentity":false,
                        "functionVersion":0,
                        "copyModeMapping":false,
                        "sourceAttribute":"homeAddress.countryCode",
                        "destinationXdmPath":"homeAddress.countryCode"
                     }
                  }
               },
               {
                  "type":"JSON_PATH",
                  "value":{
                     "path":"person.name.firstName",
                     "operator":"EXISTS",
                     "mapping":{
                        "sourceType":"text/x.schema-path",
                        "source":"person.name.firstName",
                        "destination":"person.name.firstName",
                        "identity":false,
                        "primaryIdentity":false,
                        "functionVersion":0,
                        "copyModeMapping":false,
                        "sourceAttribute":"person.name.firstName",
                        "destinationXdmPath":"person.name.firstName"
                     }
                  }
               },
               {
                  "type":"JSON_PATH",
                  "value":{
                     "path":"person.name.lastName",
                     "operator":"EXISTS",
                     "mapping":{
                        "sourceType":"text/x.schema-path",
                        "source":"person.name.lastName",
                        "destination":"person.name.lastName",
                        "identity":false,
                        "primaryIdentity":false,
                        "functionVersion":0,
                        "copyModeMapping":false,
                        "sourceAttribute":"person.name.lastName",
                        "destinationXdmPath":"person.name.lastName"
                     }
                  }
               },
               {
                  "type":"JSON_PATH",
                  "value":{
                     "path":"personalEmail.address",
                     "operator":"EXISTS",
                     "mapping":{
                        "sourceType":"text/x.schema-path",
                        "source":"personalEmail.address",
                        "destination":"personalEmail.address",
                        "identity":false,
                        "primaryIdentity":false,
                        "functionVersion":0,
                        "copyModeMapping":false,
                        "sourceAttribute":"personalEmail.address",
                        "destinationXdmPath":"personalEmail.address"
                     }
                  }
               },
               {
                  "type":"JSON_PATH",
                  "value":{
                     "path":"segmentMembership.status",
                     "operator":"EXISTS",
                     "mapping":{
                        "sourceType":"text/x.schema-path",
                        "source":"segmentMembership.status",
                        "destination":"segmentMembership.status",
                        "identity":false,
                        "primaryIdentity":false,
                        "functionVersion":0,
                        "copyModeMapping":false,
                        "sourceAttribute":"segmentMembership.status",
                        "destinationXdmPath":"segmentMembership.status"
                     }
                  }
               }
            ],
            "mandatoryFields":[
               "person.name.firstName",
               "person.name.lastName"
            ],
            "primaryFields":[
               {
                  "fieldType":"ATTRIBUTE",
                  "attributePath":"personalEmail.address"
               }
            ]
         },
         "segmentSelectors":{
            "selectors":[
               {
                  "type":"PLATFORM_SEGMENT",
                  "value":{
                     "id":"9f7d37fd-7039-4454-94ef-2b0cd6c3206a",
                     "name":"Interested in Mountain Biking",
                     "filenameTemplate":"%DESTINATION_NAME%_%SEGMENT_ID%_%DATETIME(YYYYMMdd_HHmmss)%",
                     "exportMode":"DAILY_FULL_EXPORT",
                     "schedule":{
                        "frequency":"ONCE",
                        "startDate":"2021-12-20",
                        "startTime":"17:00"
                     },
                     "createTime":"1640016962",
                     "updateTime":"1642534355"
                  }
               },
               {
                  "type":"PLATFORM_SEGMENT",
                  "value":{
                     "id":"25768be6-ebd5-45cc-8913-12fb3f348613",
                     "name":"Loyalty Segment",
                     "filenameTemplate":"%DESTINATION_NAME%_%SEGMENT_ID%_%DATETIME(YYYYMMdd_HHmmss)%",
                     "exportMode":"FIRST_FULL_THEN_INCREMENTAL",
                     "schedule":{
                        "frequency":"EVERY_6_HOURS",
                        "startDate":"2021-12-22",
                        "endDate":"2021-12-31",
                        "startTime":"17:00"
                     },
                     "createTime":"1640016962",
                     "updateTime":"1642534355"
                  }
               }
            ]
         }
      }
   }
]

API error handling api-error-handling

The API endpoints in this tutorial follow the general Experience Platform API error message principles. Refer to API status codes and request header errors in the Platform troubleshooting guide for more information on interpreting error responses.

Next steps next-steps

By following this tutorial, you have successfully connected Platform to one of your preferred file-based email marketing destinations and set up a dataflow to the respective destination to export data files. Outgoing data can now be used in the destination for email campaigns, targeted advertising, and many other use cases. See the following pages for more details, such as how to edit existing dataflows using the Flow Service API:

recommendation-more-help

7f4d1967-bf93-4dba-9789-bb6b505339d6