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I've read about a dozen tutorials showing how to use OpenCSV and apache-commons-csv to parse CSV files. That's all nice and works for me. But one thing always catches my attention: OpenCSV has the More on stackoverflow.com

I've hardly reviewed any of these, so I can't really ompare them usefully, but I've been using the Apache Commons CSV parser 1.0 version recently (finally released after who knows how many years in semi-hibernation!), and it's been pleasant to work with thus far · Definitely applaud the effort, ... More on news.ycombinator.com

To put this in perspective, the slowest parser handled 300,000 rows per second. I suppose it's possible for CSV parsing to be a significant part of a CPU-bound workload, but every time I've run into CSV it was ETL-type work and invariably I/O-bound. The stability and usability of a CSV library are going to be much larger factors for me than performance. Except for the time I wrote a horrible CSV-parsing regex. That actually was CPU-bound. ;) More on reddit.com