Mongoose Query.prototype.countDocuments() API
The Mongoose Query API countDocuments() method is used to count all the documents from a collection that matches the filter object provided in the arguments.
Syntax:
Query.prototype.countDocuments(filter, options, callback)
Parameters: It accepts the following parameters as mentioned above and described below:
- filter: It is a mongoose object which identifies the existing document to count.
- options: It is an optional mongoose object which is derived from Query.prototype.setOptions().
- callback: It is a callback function that accepts 2 parameters: error and count.
Return type: It returns a Query object as a response.
Creating node application And Installing Mongoose:
Step 1: Create a node application using the following command:
mkdir folder_name cd folder_name npm init -y touch main.js
Step 2: After completing the Node.js application, Install the required module using the following command:
npm install mongoose
Example 1: In this example, we will use this method to count the documents in the collection that have the name “Luffy”.
Filename: main.js
Javascript
// Importing the module const mongoose = require( 'mongoose' ) // Creating the connection { dbName: 'event_db' , useNewUrlParser: true , useUnifiedTopology: true }, err => err ? console.log(err) : console.log( 'Connected to database' )); const personSchema = new mongoose.Schema({ name: { type: String, }, age: { type: Number, } }); const personsArray = [ { name: 'Luffy' , age: 20 }, { name: 'Nami' , age: 20, }, { name: 'Zoro' , age: 35 } ] const Person = mongoose.model( 'Person' , personSchema); (async () => { await Person.insertMany(personsArray); const res = await Person .where({ name: "Luffy" }) .countDocuments(); console.log({ res }); })() |
Step to Run Application: Run the application using the following command from the root directory of the project:
node main.js
Output:

GUI Representation of the Database using MongoDB Compass:

Example 2: In this example, we will use this method to count the documents in the collection that have the age “35”.
Filename: main.js
Javascript
// Importing the module const mongoose = require( 'mongoose' ) // Creating the connection { dbName: 'event_db' , useNewUrlParser: true , useUnifiedTopology: true }, err => err ? console.log(err) : console.log( 'Connected to database' )); const personSchema = new mongoose.Schema({ name: { type: String, }, age: { type: Number, } }); const personsArray = [ { name: 'Luffy' , age: 20 }, { name: 'Nami' , age: 20, }, { name: 'Zoro' , age: 35 } ] const Person = mongoose.model( 'Person' , personSchema); (async () => { await Person.insertMany(personsArray); const res = await Person .where({ age: 35 }) .countDocuments(); console.log({ res }); })() |
Step to Run Application: Run the application using the following command from the root directory of the project:
node main.js
Output:

GUI Representation of the Database using MongoDB Compass:

Reference: https://mongoosejs.com/docs/api/query.html#query_Query-countDocuments
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