with Databricks and ServiceNow?
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
Retrieves the record identified by the specified sys_id from the specified table.
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.
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}`,
},
})
},
})
The ServiceNow API lets developers access and manipulate records, manage workflows, and integrate with other services on its IT service management platform. These capabilities support automating tasks, syncing data across platforms, and boosting operational efficiencies.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
servicenow: {
type: "app",
app: "servicenow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.servicenow.$auth.instance_name}.service-now.com/api/now/table/incident`,
headers: {
Authorization: `Bearer ${this.servicenow.$auth.oauth_access_token}`,
},
})
},
})