with Algolia and Databricks?
Retrieve the output and metadata of a single task run. See the documentation
Adds an array of JavaScript objects to the given index. See docs here
Algolia is a powerful search-as-a-service platform that makes it easy to deliver fast, relevant search experiences to users. The Algolia API allows developers to programmatically manage search indices, perform searches, and capture insights about search activity. With Pipedream, you can harness this API to automate and integrate Algolia's capabilities with other apps, creating efficient workflows that enhance search functionalities and user engagement. You can sync data across platforms, automate content indexing, and trigger actions based on search patterns or user behaviors.
import { algoliasearch } from 'algoliasearch';
export default defineComponent({
props: {
algolia: {
type: "app",
app: "algolia",
}
},
async run({steps, $}) {
const client = algoliasearch(this.algolia.$auth.application_id, this.algolia.$auth.api_key);
return await client.listIndices()
},
})
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}`,
},
})
},
})