Hi everyone,
I've been coding professionally since 2014, and database performance has always been a massive priority for me. After dealing with large data transfers and profiling reports my entire career, I finally sat down to build a comprehensive IO/streams library that addresses the systemic bottlenecks in Java's standard library.
This is an open-source package built with CSV parsing and high-throughput database bulk loading in mind. The verbose and slow decorator pattern is gone, featuring standard RFC 4180 compliance, fallbacks for openCSV and Jackson serialization assumptions, and a Spring Boot starter module.
I’ve spent years optimization-tuning high-volume ETL data pipelines and got increasingly frustrated with the systemic overhead of standard JDBC batch inserts (PreparedStatement.executeBatch()). Even with rewrite optimization flags enabled, the network round-trips and string parsing engine costs across millions of rows add up rapidly.
To address this, I built Fusio: a zero-dependency, open-source functional I/O pipeline engine for the JVM that handles streaming file transformations and speeds up native database bulk ingestion.
