with Rendi and Databricks?
Emit new event when a new FFmpeg command is submitted. See the documentation
Emit new event when a new file is uploaded to an account. See the documentation
Get the status of a previously submitted FFmpeg command. See the documentation
Retrieve the output and metadata of a single task run. See the documentation
Get the list of all stored files for an account. See the documentation
Run a job now and return the id of the triggered run. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rendi: {
type: "app",
app: "rendi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rendi.dev/v1/files`,
headers: {
"x-api-key": `${this.rendi.$auth.api_key}`,
},
})
},
})
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}`,
},
})
},
})