Databricks is the lakehouse company, helping data teams solve the world’s toughest problems.
Retrieve the output and metadata of a single task run. See the documentation
Retrieves the record identified by the specified sys_id from the specified table.
Run a job now and return the id of the triggered run. See the documentation
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/clusters/list`,
headers: {
Authorization: `Bearer ${this.databricks.$auth.access_token}`,
},
})
},
})
The ServiceNow API enables developers to tap into the robust capabilities of ServiceNow's IT service management platform. With the API, you can create, read, update, and delete records, manage workflows, and integrate with other services. By leveraging these capabilities, you can automate routine tasks, sync data across multiple platforms, and enhance 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}`,
},
})
},
})