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Java - Mapping POJOs

Maxime BeugnetPublished Feb 01, 2022 • Updated Sep 23, 2022
MongoDBJava
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Updates

The MongoDB Java quickstart repository is available on Github.
March 25th, 2021
  • Update Java Driver to 4.2.2.
  • Added Client Side Field Level Encryption example.
October 21th, 2020
  • Update Java Driver to 4.1.1.
  • The Java Driver logging is now enabled via the popular SLF4J API so I added logback in the pom.xml and a configuration file logback.xml.

Introduction

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Java is an object-oriented programming language and MongoDB stores documents, which look a lot like objects. Indeed, this is not a coincidence because that's the core idea behind the MongoDB database.
In this blog post, as promised in the first blog post of this series, I will show you how to automatically map MongoDB documents to Plain Old Java Objects (POJOs) using only the MongoDB driver.

Getting Set Up

I will use the same repository as usual in this series. If you don't have a copy of it yet, you can clone it or just update it if you already have it:
If you haven't yet set up your free cluster on MongoDB Atlas, now is a great time to do so. You have all the instructions in this blog post.

The Grades Collection

If you followed this series, you know that we have been working with the grades collection in the sample_training database. You can import it easily by loading the sample dataset in MongoDB Atlas.
Here is what a MongoDB document looks like in extended JSON format. I'm using the extended JSON because it's easier to identify the field types and we will need them to build the POJOs.

POJOs

The first thing we need is a representation of this document in Java. For each document or subdocument, I need a corresponding POJO class.
As you can see in the document above, I have the main document itself and I have an array of subdocuments in the scores field. Thus, we will need 2 POJOs to represent this document in Java:
  • One for the grade,
  • One for the scores.
In the package com.mongodb.quickstart.models, I created two new POJOs: Grade.java and Score.java.
In the Grade class above, I'm using @BsonProperty to avoid violating Java naming conventions for variables, getters, and setters. This allows me to indicate to the mapper that I want the "student_id" field in JSON to be mapped to the "studentId" field in Java.
As you can see, we took care of matching the Java types with the JSON value types to follow the same data model. You can read more about types and documents in the documentation.

Mapping POJOs

Now that we have everything we need, we can start the MongoDB driver code.
I created a new class MappingPOJO in the com.mongodb.quickstart package and here are the key lines of code:
  • I need a ConnectionString instance instead of the usual String I have used so far in this series. I'm still retrieving my MongoDB Atlas URI from the system properties. See my starting and setup blog post if you need a reminder.
  • I need to configure the CodecRegistry to include a codec to handle the translation to and from BSON for our POJOs.
  • And I need to add the default codec registry, which contains all the default codecs. They can handle all the major types in Java-like Boolean, Double, String, BigDecimal, etc.
  • I can now wrap all my settings together using MongoClientSettings.
  • I can finally initialise my connection with MongoDB.
As you can see in this last line of Java, all the magic is happening here. The MongoCollection<Grade> I'm retrieving is typed by Grade and not by Document as usual.
In the previous blog posts in this series, I showed you how to use CRUD operations by manipulating MongoCollection<Document>. Let's review all the CRUD operations using POJOs now.
  • Here is an insert (create).
  • Here is a find (read).
  • Here is an update with a findOneAndReplace returning the newest version of the document.
  • And finally here is a delete.

Final Code

MappingPojo.java (code):
To start this program, you can use this maven command line in your root project (where the src folder is) or your favorite IDE.

Wrapping Up

Mapping POJOs and your MongoDB documents simplifies your life a lot when you are solving real-world problems with Java, but you can certainly be successful without using POJOs.
MongoDB is a dynamic schema database which means your documents can have different schemas within a single collection. Mapping all the documents from such a collection can be a challenge. So, sometimes, using the "old school" method and the Document class will be easier.
If you want to learn more and deepen your knowledge faster, I recommend you check out the M220J: MongoDB for Java Developers training available for free on MongoDB University.
In the next blog post, I will show you the aggregation framework in Java.

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