Hi HN, I built a Java library called SmartFileProcessor to make high-performance, multi-threaded file processing simpler and more maintainable.
Most Java file processing solutions either involve a lot of boilerplate or don’t handle concurrency, backpressure, or metrics well out of the box. I needed something fast, clean, and production-friendly — so I built this.
Key features:
Multi-threaded line/batch processing using a configurable thread pool
Producer/consumer model with built-in backpressure
Buffered, asynchronous writing with optional auto-flush
Live metrics: memory usage, throughput, thread times, queue stats
Simple builder API — minimal setup to get going
Output metrics to JSON, CSV, or human-readable format
Use cases:
Large CSV or log file parsing
ETL pre-processing
Line-by-line filtering and transformation
Batch preparation before ingestion
I’d really appreciate your feedback — feature ideas, performance improvements, critiques, or whether this solves a real problem for others. Thanks for checking it out!
Comments URL: https://news.ycombinator.com/item?id=44072788
Points: 19
# Comments: 13
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Hi HN,
We’re Afnan, Theo and Ruben. We’re all ML engineers or data scientists, and we kept running into the same thing: we’d write useful Python functions, either for ourselves or internal tools
Article URL: https://antelang.org/blog/why_effects/
Comments URL: https://news.y
Article URL: https://www.thewayofcode.com/
Comments URL: https://news.ycombinator.com/ite
