The Google Cloud Platform, including BigQuery
Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. See the documentation
Inserts rows into a BigQuery table. See the docs and for an example here.
The Google Cloud API opens a world of possibilities for enhancing cloud operations and automating tasks. It empowers you to manage, scale, and fine-tune various services within the Google Cloud Platform (GCP) programmatically. With Pipedream, you can harness this power to create intricate workflows, trigger cloud functions based on events from other apps, manage resources, and analyze data, all in a serverless environment. The ability to interconnect GCP services with numerous other apps enriches automation, making it easier to synchronize data, streamline development workflows, and deploy applications efficiently.
module.exports = defineComponent({
props: {
google_cloud: {
type: "app",
app: "google_cloud",
}
},
async run({steps, $}) {
// Required workaround to get the @google-cloud/storage package
// working correctly on Pipedream
require("@dylburger/umask")()
const { Storage } = require('@google-cloud/storage')
const key = JSON.parse(this.google_cloud.$auth.key_json)
// Creates a client from a Google service account key.
// See https://cloud.google.com/nodejs/docs/reference/storage/1.6.x/global#ClientConfig
const storage = new Storage({
projectId: key.project_id,
credentials: {
client_email: key.client_email,
private_key: key.private_key,
}
})
// Uncomment this section and rename for your bucket before running this code
// const bucketName = 'pipedream-test-bucket';
await storage.createBucket(bucketName)
console.log(`Bucket ${bucketName} created.`)
},
})
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})