MongoDB Collection Aggregate Java Example

Table of contents
  1. Prerequisites
  2. Setting Up the Java Project
  3. Connecting to MongoDB
  4. Performing Aggregation
  5. Running the Example
  6. Frequently Asked Questions
  7. Conclusion

When working with MongoDB and Java, it's essential to understand how to use the aggregate method to perform advanced data analysis operations. In this article, we'll explore a comprehensive example of using the MongoDB collection aggregate method in a Java application.

We'll cover the basics of MongoDB, the aggregate framework, and how to integrate it into a Java project. By the end of this article, you'll have a solid understanding of how to leverage the aggregate method to process and analyze data stored in MongoDB collections using Java.


Before diving into the example, ensure that you have the following prerequisites in place:

  • Java Development Kit (JDK) installed
  • Maven or any preferred build tool for managing dependencies
  • MongoDB installed on your local machine or accessible MongoDB server
  • A basic understanding of MongoDB and the Java programming language

Setting Up the Java Project

First, let's set up a new Java project using Maven. Create a new Maven project and add the MongoDB Java driver dependency to the project's pom.xml file.

Add the following dependency for the MongoDB Java driver:


Replace x.x.x with the latest version of the MongoDB Java driver.

Connecting to MongoDB

Now, let's establish a connection to MongoDB using the Java driver. Create a new class and add the following code to connect to the MongoDB instance:

import com.mongodb.client.MongoClients;
import com.mongodb.client.MongoClient;
import com.mongodb.client.MongoDatabase;

public class MongoDBConnection {
    private static final String DB_HOST = "localhost";
    private static final int DB_PORT = 27017;
    public static MongoClient connectToMongoDB() {
        return MongoClients.create("mongodb://" + DB_HOST + ":" + DB_PORT);

    public static MongoDatabase getDatabase(String dbName) {
        return connectToMongoDB().getDatabase(dbName);

Replace localhost and 27017 with the appropriate MongoDB host and port if your MongoDB instance is running on a different host or port.

Performing Aggregation

Now that we have set up the project and connected to MongoDB, let's look at an example of using the aggregate method to perform aggregation operations on a collection. For this example, we'll assume that we have a collection named orders that stores order information.

Here's how you can use the aggregate method to get the total order amount for each customer:

import com.mongodb.client.MongoCollection;
import com.mongodb.client.model.Aggregates;
import com.mongodb.client.model.Accumulators;
import com.mongodb.client.model.Filters;
import org.bson.Document;
import java.util.Arrays;
import java.util.List;

public class OrderAggregation {
    public static void main(String[] args) {
        // Get the MongoDB database
        MongoDatabase database = MongoDBConnection.getDatabase("mydb");

        // Get the orders collection
        MongoCollection<Document> ordersCollection = database.getCollection("orders");

        // Perform the aggregation
        List<Document> pipeline = Arrays.asList(
      "$customer", Accumulators.sum("totalAmount", "$amount"))

        List<Document> result = ordersCollection.aggregate(pipeline).into(new ArrayList<>());
        // Print the aggregation results
        for (Document doc : result) {

In this example, we use the aggregate method to group orders by the customer field and calculate the total order amount for each customer using the $amount field. The aggregation pipeline consists of a single stage that performs the grouping and summation of the order amounts.

Running the Example

To run the example, compile the Java code and execute the OrderAggregation class. Ensure that your MongoDB instance is running and accessible before running the example.

java OrderAggregation

Upon running the example, you should see the aggregated results printed to the console, showing the total order amount for each customer based on the orders stored in the MongoDB collection.

Frequently Asked Questions

What is the MongoDB aggregate method?

The aggregate method in MongoDB is used to perform aggregation operations on the data stored in a collection. It allows for advanced data processing such as grouping, filtering, and computing aggregations across multiple documents within a collection.

How does the aggregation pipeline work in MongoDB?

The aggregation pipeline is a framework for performing aggregation operations. It consists of a sequence of stages, where each stage represents a specific operation such as grouping, filtering, projecting, and computing aggregate expressions. Documents flow through the pipeline, and each stage processes the documents and passes the results to the next stage.

Can the aggregate method be used with the MongoDB Java driver?

Yes, the aggregate method can be used with the official MongoDB Java driver. The Java driver provides a fluent interface for building aggregation pipelines and executing aggregation operations on MongoDB collections.


In this article, we've demonstrated how to use the MongoDB collection aggregate method in a Java application. We covered the prerequisites for setting up the project, establishing a connection to MongoDB, and performing aggregation operations using the Java driver. By following the example and understanding the concepts behind the aggregation framework, you can leverage the power of MongoDB for data analysis and processing in your Java projects.

If you want to know other articles similar to MongoDB Collection Aggregate Java Example you can visit the category Work.

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