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How to CRUD with Node.js and MongoDB

MongoDB was one of many first NoSQL information shops, and it’s the most popular NoSQL data store immediately. The Node.js JavaScript runtime continues to carry a dominate place in back-end improvement. Collectively they make a extremely versatile and dynamic expertise stack.

As you’ll see, Node.js and MongoDB help you shortly implement important utility performance like CRUD (create, learn, replace, and delete) operations. On this article, we’ll check out the CRUD fundamentals, utilizing the newest Node.js MongoDB driver (model three.6+).

Node.js and MongoDB setup

You’ll want Node.js and MongoDB put in in your system, and a command line with the curl command accessible. (For those who’re utilizing a Linux, MacOS, or Home windows 10 model since 2018, you probably have curl.)

You may obtain MongoDB on your OS here. As soon as downloaded, you may set up it as a service or run it as an executable. Both approach, be sure that MongoDB is operating by opening a command line and operating the mongo command. (You might want so as to add the command to your path when you didn’t set up as a service.) This provides you entry to the MongoDB occasion operating in your system.

Subsequent, guarantee that you’ve Node.js and npm put in. On the command line, sort node -v. If Node.js is put in, you’ll get the model quantity. If not, go to the Node.js download page and set up Node in your machine.

Curl means that you can carry out easy HTTP requests from the command line. For instance, when you run curl you’ll obtain the markup from the Google fundamental web page.

Create a Node.js venture

Now go to a handy folder the place you’ll create a brand new venture. Kind npm init. For the venture identify, use node-mongo-intro. You may settle for the opposite defaults.

Now add the dependencies you want. Within the venture listing you simply created, sort npm set up mongodb polka --save. It will set up each the Node.js driver for MongoDB (permitting your venture to entry MongoDB) and the Polka HTTP server, which you’ll use for dealing with HTTP requests.

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Edit the package deal.json file to incorporate a begin script, as in Itemizing 1.

Itemizing 1. A begin script

    "take a look at": "echo "Error: no take a look at specified" && exit 1",
    "begin": "node src/index" // <-- add this line

Now create a /node-mongo-intro/src/index.js file, and put the contents of Itemizing 2 in it.

Itemizing 2. HTTP take a look at in index.js

const polka = require('polka');

  .get('/create', (req, res) => )
  .pay attention(3000, err => );

Now begin the server with npm run begin. The server will pay attention on port 3000. You may take a look at it with curl http://localhost:3000/create. For those who do, it’s best to see the response (together with some curl request information) of “works.”

Insert a file in MongoDB

Now we’re going to carry out a easy insert. That is the C in CRUD. Replace the index.js file to appear like Itemizing three.

Itemizing three. A easy insert

const polka = require('polka');
const = require("mongodb");

  .get('/create', (req, res) => {
    const shopper = new MongoClient("mongodb://localhost:27017");
    async operate run()
  .pay attention(3000, err => );

The code in Itemizing three opens a connection to the MongoDB occasion in your native system, then specifies a database ("intro") and assortment ("quotes"). A group is analogous to a desk in a relational database.

Subsequent, the code inserts a doc (analogous to a SQL file) and sends the outcomes again in an HTTP response.

Run the insert

First, cease and restart the node server by hitting Ctrl-C. Then run this command on the command line: 

npm run startcurl http://localhost:3000/create

Confirm the insert

One factor you’ll discover when you come from a SQL background is that we didn’t create a desk and schema earlier than we did this work. We didn’t even create the database we used. MongoDB does all of this for us, and it could settle for any sort of structured key-value doc into the gathering.

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Open the mongo shell with mongo, and enter the command use intro. This switches to the intro database that was robotically created. Now enter the command, and also you’ll see that the file was inserted. Discover that MongoDB robotically generated a singular ID on the "_id" area. You may override this by specifying one your self on the doc.

Retrieve a doc in MongoDB

Now let’s get the doc again out. Add the .get() mapping seen in Itemizing four. That is the R in CRUD.

Itemizing four. Retrieve a doc

.get('/retrieve', (req, res) => {
    const shopper = new MongoClient("mongodb://localhost:27017");
    async operate run()

        await shopper.join();
        const database = shopper.db("intro");
        const assortment = database.assortment("quotes");

        const cursor =, );

        let objects = [];
        await cursor.forEach(operate(doc)
      catch (error) lastly

Itemizing four connects in the identical trend as in Itemizing three, then points a discover command, with an empty question. This implies it matches all paperwork. Subsequent it takes the response and marshals it into an array to be despatched again to the shopper.

Discover that the cursor operations are asynchronous, as is the assortment.insertOne operation from Itemizing three. We use the await key phrase to deal with these with out nested callbacks.

Check the brand new endpoint (after stopping and beginning the server once more) with curl http://localhost:3000/retrieve and also you’ll see the gathering is returned.

Replace a doc in MongoDB

Now for the U in CRUD. That is dealt with in Itemizing 5.

Itemizing 5. Updating a doc

.get('/replace', (req, res) => {
    const shopper = new MongoClient("mongodb://localhost:27017");
    async operate run() {
        await shopper.join();
        const database = shopper.db("intro");
        const assortment = database.assortment("quotes");

        const updateDoc =
          $set: ,

        const consequence = await assortment.updateOne(, updateDoc, ); // <-- empty filter matches all docs
        res.finish("Up to date: " + consequence.modifiedCount);
      catch (e)

Itemizing 5 once more connects to the database, then creates an replace doc. This doc tells MongoDB what to vary, by specifying a $set area containing an object with the fields and values to vary. In our case, we set the creator area to "John Lennon", the quoter of the quote in query.

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Subsequent, Itemizing 5 makes use of the updateOne() operate to execute the replace doc. That closing empty-object argument is the filter. On this case, we wish to match on all paperwork, so we go away it clean.

Lastly, we ship again the variety of paperwork we up to date (one).

Delete a doc in MongoDB

The ultimate letter within the CRUD acronym is D for delete.

The mapping for the delete operation is proven in Itemizing 6.

Itemizing 6. Deleting a doc

.get('/delete', (req, res) => {
    const shopper = new MongoClient("mongodb://localhost:27017");
    async operate run()
        await shopper.join();
        const database = shopper.db("intro");
        const assortment = database.assortment("quotes");
        const question = ;
        const consequence = await assortment.deleteOne(question);
        if (consequence.deletedCount === 1) else

Right here once more we use an empty question to match the entire paperwork within the "quotes" assortment. The async assortment.deleteOne() operate returns a consequence telling us what number of paperwork have been affected.

Restart the server (Ctrl-C) and situation a brand new curl command:

curl http://localhost:3000/delete

You may confirm the doucument has been deleted with curl http://localhost:3000/retrieve.

Dynamic CRUD duo

And there you will have it, the complete lifecycle for a doc within the MongoDB information retailer: create, learn, replace, and delete.

The Node.js and MongoDB combo (with some assist from Polka) makes for a really quick and versatile improvement expertise. Be taught extra about Node.js right here and extra about MongoDB and different NoSQL information shops right here.

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