Rockset is a serverless search and analytics engine that allows you to create live dashboards and real-time data APIs on DynamoDB, Kafka, S3 and more.
Add documents to a collection in Rockset. Learn more at https://docs.rockset.com/rest/#adddocuments.
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Create a new integration with Rockset. Learn more at https://docs.rockset.com/rest/#createintegration
Rockset is a real-time indexing database service designed for low-latency, high-concurrency analytics. With the Rockset API, you can query your datasets, create and manage collections, and integrate with event streams for real-time analytics. Using Pipedream's serverless platform, you can automate workflows that react to database events, sync data across services, or trigger actions based on analytical insights.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rockset: {
type: "app",
app: "rockset",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.rs2.usw2.rockset.com/v1/orgs/self/users/self`,
headers: {
"Authorization": `ApiKey ${this.rockset.$auth.apikey}`,
},
})
},
})
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json
file or running npm install
.
Below is an example of installing the axios
package in a Pipedream Node.js code step. Pipedream imports the axios
package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})