with Databricks and GitHub?
Retrieve the output and metadata of a single task run. See the documentation
Find issues and pull requests by state and keyword. See the documentation
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 GitHub API is a powerful gateway to interaction with GitHub's vast web of data and services, offering a suite of endpoints to manipulate and retrieve information on repositories, pull requests, issues, and more. Harnessing this API on Pipedream, you can orchestrate automated workflows that respond to events in real-time, manage repository data, streamline collaborative processes, and connect GitHub with other services for a more integrated development lifecycle.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
github: {
type: "app",
app: "github",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.github.com/user`,
headers: {
Authorization: `Bearer ${this.github.$auth.oauth_access_token}`,
"X-GitHub-Api-Version": `2022-11-28`,
},
})
},
})