with Postman and Databricks?
Emit new event when a monitor run is completed. See the documentation
Retrieve the output and metadata of a single task run. See the documentation
Run a job now and return the id of the triggered run. See the documentation
The Postman API enables you to automate tasks within your Postman collections, such as running collections, fetching and updating environments, and integrating your API development workflow into your CI/CD pipeline. Using Pipedream, you can harness this functionality to create custom workflows that trigger on various events, process data, and connect with other apps, extending the capabilities of your API testing and development processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
postman: {
type: "app",
app: "postman",
}
},
async run({steps, $}) {
const data = {
"auth_token": `=user:NNNNNN`,
}
return await axios($, {
url: `https://api.getpostman.com/me`,
headers: {
"X-Api-Key": `${this.postman.$auth.api_key}`,
},
data,
})
},
})
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}`,
},
})
},
})