R2 gives you the freedom to create the multi-cloud architectures you desire with an S3-compatible object storage.
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
The Cloudflare R2 API lets you interact with Cloudflare's object storage service, providing a cost-effective way to store large amounts of data with no egress fees. On Pipedream, you can harness this API to build automated workflows that can store, retrieve, and manage data within your R2 buckets. By combining Cloudflare R2 with Pipedream’s capabilities, you can create serverless workflows that trigger on various events, process data in-flight, and integrate with over 800+ apps available on the platform.
import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand } from "@aws-sdk/client-s3";
export default defineComponent({
props: {
cloudflare_r2: {
type: "app",
app: "cloudflare_r2",
}
},
async run({ steps, $ }) {
const cloudflare_r2 = {
account_id: this.cloudflare_r2.$auth.account_id
};
const s3Client = new S3({
forcePathStyle: false,
endpoint: `https://${cloudflare_r2.account_id}.r2.cloudflarestorage.com`,
region: "auto",
credentials: {
accessKeyId: this.cloudflare_r2.$auth.access_key_id,
secretAccessKey: this.cloudflare_r2.$auth.access_key_secret
}
});
const data = await s3Client.send(new ListBucketsCommand({}));
return data.Buckets;
}
}
)
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()
},
})