The easiest and quickest way to store data on the Internet.
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 KVstore.io API lets users store and retrieve key-value pairs over a simple REST API, making it an ideal tool for serverless data storage and retrieval. On Pipedream, you can integrate this API into workflows to manage state, cache data, or coordinate information between different steps or services. Its simplicity and ease of use make it a versatile component in creating efficient and scalable serverless applications.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
kvstore_io: {
type: "app",
app: "kvstore_io",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.kvstore.io/users/me`,
headers: {
"kvstoreio_api_key": `${this.kvstore_io.$auth.api_key}`,
},
})
},
})
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()
},
})