Node.js Basics — MongoDB Upserts and Queries

Node.js is a popular runtime platform to create programs that run on it.

It lets us run JavaScript outside the browser.

In this article, we’ll look at how to start using Node.js to create programs.

Upserts

We can do upserts by setting the upsert option to true .

For example, we can write:

const { MongoClient } = require('mongodb');
const connection = "mongodb://localhost:27017";
const client = new MongoClient(connection);

async function run() {
  try {
    await client.connect();
    const testCollection = await client.db("test").collection('test');
    const result = await testCollection.insertOne({
      name: "Popeye",
    });
    console.log(result)
    const query = { name: "Popeye" };
    const update = {
      $set: { name: "Popeye", address: "3 Nassau St" }
    };
    const options = { upsert: true };
    const updateResult = await testCollection.updateOne(query, update, options);
    console.log(updateResult)
  } finally {
    await client.close();
  }
}
run().catch(console.dir);

We set the upsert property in the options object to true so that we can insert the entry when it’s not available.

The $set property lets us set the properties we want to set.

Querying Data

We can query data in to search for in the collection and then do our updates to the results.

For example, we can write:

const { MongoClient } = require('mongodb');
const connection = "mongodb://localhost:27017";
const client = new MongoClient(connection);

async function run() {
  try {
    await client.connect();
    const testCollection = await client.db("test").collection('test');
    const result = await testCollection.insertOne({
      name: "Popeye",
    });
    console.log(result)
    const query = { name: "Popeye" };
    const cursor = testCollection.find(query);
    await cursor.forEach(console.dir);
  } finally {
    await client.close();
  }
}
run().catch(console.dir);

to make a query to find the documents with the name set to 'Popeye' .

We call the find method to find all the entries with that value.

And then we call the forEach method to search for items.

We can also search for the items with a given quantity.

To do that, we can write:

const { MongoClient } = require('mongodb');
const connection = "mongodb://localhost:27017";
const client = new MongoClient(connection);

async function run() {
  try {
    await client.connect();
    const testCollection = await client.db("test").collection('test');
    const result = await testCollection.insertMany([
      {
        name: "Popeye",
        rating: 5
      },
      {
        name: "KFC",
        rating: 4
      },
    ]);
    console.log(result)
    const query = {
      rating: { $eq: 5 }
    };
    const cursor = testCollection.find(query);
    await cursor.forEach(console.dir);
  } finally {
    await client.close();
  }
}
run().catch(console.dir);

We inserted 2 entries into our collection.

Then we make the query with the find method.

The $eq key means we want to search for the items that equals something.

Therefore, we search for any documents with the rating property equal to 5.

This is the same as:

const { MongoClient } = require('mongodb');
const connection = "mongodb://localhost:27017";
const client = new MongoClient(connection);

async function run() {
  try {
    await client.connect();
    const testCollection = await client.db("test").collection('test');
    const result = await testCollection.insertMany([
      {
        name: "Popeye",
        rating: 5
      },
      {
        name: "KFC",
        rating: 4
      },
    ]);
    console.log(result)
    const query = {
      rating: 5
    };
    const cursor = testCollection.find(query);
    await cursor.forEach(console.dir);
  } finally {
    await client.close();
  }
}
run().catch(console.dir);

Conclusion

We can query items by using various operations supported by MongoDB.