This collection would contain fields such as title, price and type. For example, imagine a collection called books. Simply put, aggregation allows you to group your results, which can be valuable when generating reports or performing an audit. You might wonder what the purpose of aggregation is and when it’s best to use this functionality. In this article, the collection will be called “foodCollection”: ID Insert the documents shown below into the collection name of your choice. In order to follow along with the examples in this tutorial, it’s a good idea to create a small sample dataset containing the same documents used in the examples. NOTE: For the examples shown in this tutorial, we assume that the MongoDB version is 4.0 and the MongoDB Java Driver is 3.8.2. The MongoDB service needs to be running before you can proceed. The latest Java JDK must be properly installed and configured beforehand. The system requirements are minimal:īoth MongoDB and the MongoDB Java driver must be properly configured beforehand.
Prerequisitesīefore we get started with our examples, let’s take a quick look at the prerequisites for this task.
In this article, we’ll explain how to perform aggregation in MongoDB using Java.
Fortunately, aggregating MongoDB documents in Java is a simple process, and the examples we provide will make it easy to get started. In these cases, you’ll want to use aggregation to accomplish the task. When you query MongoDB for data, there may be times that you want to group your results and provide metrics such as total counts or averages.