HTTP / Webhook
Get a unique URL where you can send HTTP or webhook requests
Integrate the HTTP / Webhook API with the Databricks API
Setup the HTTP / Webhook API trigger to run a workflow which integrates with the Databricks API. Pipedream's integration platform allows you to integrate HTTP / Webhook and Databricks remarkably fast. Free for developers.
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Popular Ways to Connect HTTP / Webhook with Databricks#
Popular HTTP / Webhook and Databricks Triggers#
Get a URL and emit the full HTTP event on every request (including headers and query parameters). You can also configure the HTTP response code, body, and more.
Get a URL and emit the HTTP body as an event on every request
Emit new event when the content of the URL changes.
Popular HTTP / Webhook and Databricks Actions#
Retrieve the output and metadata of a single task run. See the documentation
Send an HTTP request using any method and URL. Optionally configure query string parameters, headers, and basic auth.
Run a job now and return the id of the triggered run. See the documentation
Send an HTTP GET request to any URL. Optionally configure query string parameters, headers and basic auth.
Overview of HTTP / Webhook#
Build, test, and send HTTP requests without code using your Pipedream workflows. The HTTP / Webhook action is a tool to build HTTP requests with a Postman-like graphical interface.
Point and click HTTP requests
Define the target URL, HTTP verb, headers, query parameters, and payload body without writing custom code.
Focus on integrating, not authenticating
This action can also use your connected accounts with third-party APIs. Selecting an integrated app will automatically update the request’s headers to authenticate with the app properly, and even inject your token dynamically.
Pipedream integrates with thousands of APIs, but if you can’t find a Pipedream integration simply use Environment Variables in your request headers to authenticate with.
Compatible with no code actions or Node.js and Python
The HTTP/Webhook action exports HTTP response data for use in subsequent workflow steps, enabling easy data transformation, further API calls, database storage, and more.
Response data is available for both coded (Node.js, Python) and no-code steps within your workflow.
Connect HTTP / Webhook#
// To use any npm package on Pipedream, just import it
import axios from "axios"
export default defineComponent({
async run({ steps, $ }) {
const { data } = await axios({
method: "GET",
url: "https://pokeapi.co/api/v2/pokemon/charizard",
})
return data.species
},
})
Overview of Databricks#
The Databricks API allows you to interact programmatically with Databricks services, enabling you to manage clusters, jobs, notebooks, and other resources within Databricks environments. Through Pipedream, you can leverage these APIs to create powerful automations and integrate with other apps for enhanced data processing, transformation, and analytics workflows. This unlocks possibilities like automating cluster management, dynamically running jobs based on external triggers, and orchestrating complex data pipelines with ease.
Connect Databricks#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
databricks: {
type: "app",
app: "databricks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.databricks.$auth.domain}.cloud.databricks.com/api/2.0/clusters/list`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
Community Posts#
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