Exporting large datasets to Excel is a common requirement in enterprise applications, but it can become a performance bottleneck. This article explores several optimization techniques for Spring Boot applications, including using streaming APIs like Apache POI SXSSFWorkbook to reduce memory footprint, implementing chunked processing to handle data in batches, and tuning database queries to minimize latency. The post also covers best practices for handling concurrent exports and managing resources effectively. For developers building data-heavy applications, these strategies can significantly improve export performance and user experience. The content is practical and addresses real-world challenges, making it a valuable resource for backend engineers.
This post discusses performance optimization strategies for exporting large datasets to Excel in Spring Boot applications, covering streaming, chunking, and memory management.