Mastering Mutual Fund Investment Unit Management with BSE Star API
In the world of mutual fund investments, efficiently managing unit data is crucial for providing accurate and timely updates to clients. When integrating with the BSE Star API, we faced a significant challenge: how to handle a continuous influx of data while ensuring system scalability and performance. Here’s how we tackled the challenge and designed a robust solution.
The Challenge
Managing Increasing Order Volume
The BSE Star API updates investment units throughout the market day, often returning tens of thousands of orders in each run. As the volume of orders continued to grow, our system struggled to keep pace.
Optimizing Database Checks
Checking each order against our database to avoid duplicate entries was becoming a major performance bottleneck. With increasing data volumes, this approach was unsustainable and required an efficient solution.
The Solution
Leveraging Node.js with Cron Jobs
To manage this data influx, we turned to Node.js, setting up scheduled jobs to run five times a day. These jobs efficiently fetched and processed the data, ensuring we stayed on top of the updates without overwhelming our system.
JSON Files for Smart Order Tracking
Instead of repeatedly querying the database for every single order, we implemented a smarter approach. Processed order numbers were stored in a date-wise JSON file. This allowed us to skip orders that had already been processed, focusing only on new ones. The result? A significant reduction in database load and a noticeable boost in performance.
The Outcome
Our solution ensured that our clients received timely updates and notifications, enhancing their overall user experience. By combining efficient data retrieval with smart tracking, we built a system that is both robust and scalable, ready to handle future growth without compromising on performance.
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