Handling large datasets in Node.js with MySQL can be challenging due to memory constraints and performance bottlenecks.
To process 1 million records efficiently, it is recommended to use pagination or batching to retrieve and process records in smaller chunks.
Using MySQL streaming can be an effective approach as it allows processing records in a stream, reducing memory usage.
Optimizing MySQL queries by using indexing, selective column fetching, and partitioning can significantly improve performance when dealing with large datasets.