Create an Apache Spark on Azure HDInsights base connection using the Flow Service API
A base connection represents the authenticated connection between a source and Adobe Experience Platform.
This tutorial walks you through the steps to create a base connection for Apache Spark on Azure HDInsights (hereinafter referred to as “Spark”) using the Flow Service API.
Getting started
This guide requires a working understanding of the following components of Adobe Experience Platform:
- Sources: Experience Platform allows data to be ingested from various sources while providing you with the ability to structure, label, and enhance incoming data using Platform services.
- 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 will need to know in order to successfully connect to Spark using the Flow Service API.
Gather required credentials
In order for Flow Service to connect with Spark, you must provide values for the following connection properties:
host
username
password
connectionSpec.id
6a8d82bc-1caf-45d1-908d-cadabc9d63a6
For more information about getting started refer to this Spark document.
Using Platform APIs
For information on how to successfully make calls to Platform APIs, see the guide on getting started with Platform APIs.
Create a base connection
A base connection retains information between your source and Platform, including your source’s authentication credentials, the current state of the connection, and your unique base connection ID. The base connection ID allows you to explore and navigate files from within your source and identify the specific items that you want to ingest, including information regarding their data types and formats.
To create a base connection ID, make a POST request to the /connections
endpoint while providing your Spark authentication credentials as part of the request parameters.
API format
POST /connections
Request
The following request creates a base connection for Spark:
curl -X POST \
'https://platform.adobe.io/data/foundation/flowservice/connections' \
-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": "Spark test connection",
"description": "A Spark test connection",
"auth": {
"specName": "HDInsights Basic Authentication",
"params": {
"host": "{HOST}",
"username": "{USERNAME}",
"password":"{PASSWORD}"
}
},
"connectionSpec": {
"id": "6a8d82bc-1caf-45d1-908d-cadabc9d63a6",
"version": "1.0"
}
}'
auth.params.host
auth.params.username
auth.params.password
connectionSpec.id
6a8d82bc-1caf-45d1-908d-cadabc9d63a6
.Response
A successful response returns details of the newly created connection, including its unique identifier (id
). This ID is required to explore your data in the next tutorial.
{
"id": "a45f2f58-e3a2-46ba-9f2f-58e3a2b6baf2",
"etag": "\"900009d6-0000-0200-0000-5e8500010000\""
}
Next steps
By following this tutorial, you have created a Spark base connection using the Flow Service API. You can use this base connection ID in the following tutorials: