Guide to refreshing extensive dataset using MySQL migration scripts

We are in the process of developing a Nodejs application for a client who has requested that we use migration scripts to streamline updating the production database. As someone new to MySQL, I am struggling with how to update table contents using only MySQL when API calls are necessary to retrieve updated information, compare it to existing data, and then make updates accordingly.

My current solution involves saving the new data in a JSON file. I am wondering if it is possible to read a JSON file with MySQL and import its contents. This is the approach I am considering:

// Read JSON file and start a loop
UPDATE table SET column = data WHERE id = json_id
// 'data' and 'json_id' represent information from the JSON file

Is this scenario feasible? If so, what would be the best way to accomplish this task?

javascriptmysqljson

Answer №1

Develop a migration strategy by creating a migration script. This can be achieved by compiling all necessary SQL commands into a single .sql file, including instructions for table creation, updates, stored procedures, and any other required database changes. When it comes time to launch your application in a live production environment, simply run this script on the production instance to easily recreate tables, stored procedures, and even populate data if needed. The beauty of this method is that it eliminates the need for a dedicated API endpoint for deployment.

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