with InfluxDB Cloud and Pipedream Utils?
Emit new event when a new bucket is created. See the documentation
Emit new event when a new script is created. See the documentation
Emit new event when a new task is completed. See the documentation
Runs a script and returns the result. See the documentation
Get memory usage statistics for the current Pipedream workflow.
Convert an object to a JSON format string
Add or subtract time from a given input
Harness the power of InfluxDB Cloud API on Pipedream to build robust data workflows. InfluxDB Cloud, a time-series database, is ideal for managing high-velocity data and extracting insights in real-time. On Pipedream, you can easily trigger workflows based on InfluxDB data, automate data ingestion, and connect with countless other services to analyze, visualize, and act upon your data.
import { InfluxDB } from '@influxdata/influxdb-client';
import { HealthAPI } from '@influxdata/influxdb-client-apis';
export default defineComponent({
props: {
influxdb_cloud: {
type: "app",
app: "influxdb_cloud",
}
},
async run({steps, $}) {
// See the Node.js client docs at
// https://github.com/influxdata/influxdb-client-js
const influxDB = new InfluxDB(this.influxdb_cloud.$auth.url);
const healthAPI = new HealthAPI(influxDB)
// Execute a health check to test our credentials
return await healthAPI.getHealth()
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})