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with Databricks and Google Chat?
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Popular Databricks and Google Chat Actions#
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
Overview of Databricks#
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.
Connect Databricks#
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}`,
},
})
},
})
Overview of Google Chat#
The Google Chat API allows you to build custom bots for Google Chat, enabling automated interactions with users within a chat space. By leveraging this API on Pipedream, you can create powerful workflows that respond to messages, automate tasks, and connect Google Chat with other services. Pipedream's serverless platform provides a seamless way to invoke these APIs based on triggers from Google Chat or other apps.
Connect Google Chat#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_chat: {
type: "app",
app: "google_chat",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_chat.$auth.oauth_access_token}`,
},
})
},
})
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