What do you want to automate
with Databricks and Microsoft Graph API (daemon app)?
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Popular Databricks and Microsoft Graph API (daemon app) Actions#
Cancel all active runs for a job. The runs are canceled asynchronously, so it doesn't prevent new runs from being started. See the documentation
Cancel a job run. The run is canceled asynchronously, so it may still be running when this request completes. See the documentation
Creates a new SQL Warehouse in Databricks. See the documentation
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/preview/scim/v2/Me`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
Connect Microsoft Graph API (daemon app)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_graph_api_daemon_app: {
type: "app",
app: "microsoft_graph_api_daemon_app",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/users`,
headers: {
Authorization: `Bearer ${this.microsoft_graph_api_daemon_app.$auth.oauth_access_token}`,
},
})
},
})
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