Fair Benchmarks for Large CSV Viewers and Editors: Define Tasks Before Timing

Benchmarking large CSV tools becomes misleading when tools are timed on different operations, such as previewing, full parsing, indexing, filtering, or writing an edited copy. The article recommends defining each task and its start and end points before measuring, and reporting time-to-visible-results separately from complete-scan timings. It provides a synthetic CSV generator and a Python verification script whose expected match count is known in advance. The fixture includes commas, quotes, and embedded newlines, since a physical line count may not equal the CSV record count. The author advises running a small correctness check first, such as 10,000 records, before scaling up.