Quickstart · FENVIX docs

Get a connection string and run your first queries with the Python and Node.js MongoDB drivers.

This page connects an existing driver to a FENVIX database. <endpoint> below stands for the host shown on the database's page in the dashboard.

1. Get a connection string#

A connection string uses the MongoDB protocol. Replace the host of your current connection string with the FENVIX endpoint and keep the rest.

Text

# before
mongodb+srv://<user>:<password>@<your-current-host>/acme

# after
mongodb://<user>:<password>@<endpoint>/acme

The database name in the path (acme here) selects the database. The first request to a sleeping database wakes it.

2. Connect with Python#

Install the driver, then connect, insert and read back.

Shell

pip install pymongo

Python

from pymongo import MongoClient

client = MongoClient("mongodb://<user>:<password>@<endpoint>/acme")
db = client["acme"]

db.orders.insert_one({"status": "paid", "total": 42})
print(db.orders.find_one({"status": "paid"}))

3. Connect with Node.js#

Shell

npm install mongodb

Node.js

import { MongoClient } from "mongodb";

const client = new MongoClient("mongodb://<user>:<password>@<endpoint>/acme");
await client.connect();
const db = client.db("acme");

await db.collection("orders").insertOne({ status: "paid", total: 42 });
console.log(await db.collection("orders").findOne({ status: "paid" }));

await client.close();

4. Query as before#

Aggregations work the same way. This example uses $match and $lookup, both in the supported set listed under Compatibility.

Node.js

const paid = await db.collection("orders").aggregate([
  { $match: { status: "paid" } },
  { $lookup: { from: "users", localField: "userId", foreignField: "_id", as: "user" } },
]).toArray();