How to Migrate Microservice from MySQL Data to MongoDB Server

Follow these steps to migrate a microservice from MySQL to MongoDB:

1. Analyze your SQL schema:First review the structure of SQL database objects, which comprise of entity tables including primary keys and indexes. This process is meant to give we an insight into the source and target data, its quality, and hidden migration-related aspects.
2. Design your MongoDB schema: Create a MongoDB schema on your SQL (domain name) based on SQL schema analysis. One phase is represented by this where collections and documents are created, entities are defined, and indexing takes place. Bearing in mind MongoDB’s document- oried nature and denormalization, make sure we choose the dimensional and normalization techniques that work for your database design.
3. Export SQL data: we should export data from the SQL database that you prefer to use via your chosen export tool. The most typical guesses are CSV, JSON, or XML. As for data and schema exports, be sure to create them before migration so we can use them as referencing material during the transfer.
4. Transform SQL data: Compose scripts or use Apache Nifi to transform the SQL data that has been exported into a format that can go into the required MongoDB format. This mechanism could be the overhaul of the data, the update of field names, and the changing of data types which allow the data to have the same MongoDB schema.
5. Import transformed data into MongoDB: Either use the mongoimport command or a tool like MongoDB Compass for importing the changed data into the MongoDB database. Fasten up please and make sure that we bring the data in the required collections and documents regarding how you arranged the MongoDB schema plan.
6. Validate and test your MongoDB database: Make sure that our Mongo structure is the same as the data structure of relational database. Carry out hit and run of data magnificence, perform query tests and deal with performance tests to make sure our new database is running properly.
7. Update application code: Alter our program code so that the MongoDB repository replaces the existing database. These particular things could be the process of rewriting SQL queries as MongoDB queries, altering the pattern of data access, and selection of correct MongoDB driver.
8. Test application functionality: Performing a completely application debugging to ensure that it works as anticipated with the new MongoDB Database.
9. Partial Migration: Always ensure to migrate our data partially to avoid downtime as well as fix the existing problems if any.
10. Data Viewing: You can consistently monitor or view our data in MongoDB database using tools like MongoDB Atlas and MongoDB Compass.

Migrating from MySQL to MongoDB is a strategic decision that can unlock new possibilities for your database infrastructure. MongoDB’s document-based approach offers flexibility and scalability, enabling us to store and manage data more efficiently.

Before doing this migration journey, we must careful planning and consideration of key factors are essential. Understanding the differences between MySQL and MongoDB in terms of data format, query language, schema, and scalability is crucial for a successful migration.