When modernizing an application, your database is a crucial element to keep in mind. Migrating to a more flexible and scalable database helps ensure that your application is future-proof. MongoDB Atlas is a perfect solution if you think about moving to the cloud. However, migrating from MySQL to a MongoDB database can have some challenges. In this article, we will explain how you can achieve such a migration successfully.
Migration from MySQL to MongoDB is no simple task, and you will want to make sure you have all the necessary information before proceeding to the migration. This article aims to explain the steps to migrate at a general level, but it is assumed that you are familiar with the following.
While migrating your traditional database schema exactly as it is and using $lookup to perform joins is possible, this might not be the best approach to this migration. To ensure the best possible performance with MongoDB, you must change your mindset to your document database schema.
You can learn more about document database schema design with the following resources:
If your current MySQL database schema contains more than one table, chances are that you will need some basic scripting or programming knowledge. If you are not familiar with using MongoDB already, look at the drivers page, where you can find examples for any major programming language.
MySQL and MongoDB are both databases, but that does not mean you can swap one for the other. You will need a migration plan to move from one database to the other. Here are some of the key differences between the databases.
While MySQL uses SQL to perform most queries on its data, MongoDB uses a different approach. The MongoDB Query API lets you query data and perform advanced queries and data processing through aggregation pipelines. Your application's code will need to be retrofitted to use this new language.
It is somewhat of a myth that MongoDB does not support relationships across data. However, to unleash all the potential MongoDB has to offer, you might want to explore other data structures. In MongoDB, you can embed documents directly into others rather than relying on expensive JOINs. This type of change makes it much faster to query your data, uses fewer hardware resources, and returns data in a natural format for software developers.
The migration from MySQL to MongoDB is done in four steps.
Review your data schemas.
Export data from MySQL.
Import data to MongoDB.
Plan ahead and decide what your new data schemas will look like. MongoDB lets you have a flexible data schema. However, planning helps you create the proper indexes to search your data blazing fast.
As stated before, it is certainly possible to transfer your data directly from MySQL to MongoDB, but using a document database in a relational way is not the most optimal way to ensure that your queries will be efficient. At this point in your migration journey, you should transform data in a format that is better suited for MongoDB. Use arrays and embedded objects to limit the necessary queries and lookups. In general, any data accessed together in a single call to your database should be grouped in a single document.
This transformation can be done using the exported files from MySQL with some custom code or using an ETL (Extract Transform Load) tool. The goal here is to take the normalized data from MySQL and transform it so MongoDB can consume it.
The last step of the migration is to insert the newly formatted data into a MongoDB instance.
Again, you can use a custom tool written in a language of your choice or use an existing tool such as mongoimport. The latter is a CLI (Command Line Interface) tool that can import data into MongoDB directly from a CSV, TSV, or JSON format.
If you are not comfortable with writing a custom script or using mongoimport, you can also use the graphical interface in MongoDB Compass to upload data from a file to your database.
You might be wondering when you should make the jump from MySQL to MongoDB. MongoDB is a general-purpose document database that you can use in many different ways. It is a modern database with a cloud offering that lets you easily scale and geographically distribute your data as you see fit. With MongoDB Atlas, you can have the confidence that your application will scale up and out as needed. In addition to that, MongoDB offers an unparalleled developer experience which significantly increases your software engineers' productivity. For these reasons, you will want to migrate to MongoDB as soon as possible in your development cycles to make the best use of all the advanced features that MongoDB provides you.
MySQL is an easy-to-set-up and very popular database offered with many low-end web hosting solutions. It works exceptionally well with PHP, and some well-known frameworks such as WordPress integrate with it out-of-the-box.
However, as your application gets more traffic, it might be harder to scale up your MySQL instances. For this reason, it is sometimes easier to start directly with MongoDB to avoid having to perform a complex migration down the path.
While MongoDB and MySQL are not exactly compatible, migrating your data from one database to another is possible. To do so, you will need to write your migration scripts and rethink how you want to structure your data. Once you have migrated, you can be sure that your application will have everything needed to scale as large as your ambitions will take you.
It is possible to migrate from MySQL to MongoDB. To do this, you will need to perform the following steps.
While it is possible to migrate data between databases, the different data structures will require some transformation to move from one to another.
Moving from SQL Server or any other traditional relational database is done with the following steps: