with Confluence and Databricks?
Creates a new page or blog post on Confluence. See the documentation
Retrieve the output and metadata of a single task run. See the documentation
Removes a blog post from Confluence by its ID. Use with caution, the action is irreversible. See the documentation
Run a job now and return the id of the triggered run. See the documentation
The Confluence API allows you to harness the collaborative power of Confluence programmatically. With it, you can automate content creation, update pages, manage spaces, and extract data for reporting or integration with other tools. Leveraging this API within Pipedream enables streamlined workflows that can react to events or schedule tasks, interacting with Confluence data and connecting to an array of other apps and services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
confluence: {
type: "app",
app: "confluence",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.atlassian.com/me`,
headers: {
Authorization: `Bearer ${this.confluence.$auth.oauth_access_token}`,
},
})
},
})
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}`,
},
})
},
})