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Sizing work chunks from measured RSS: fit setup + per-item cost, or chunks shrink to nothing

@archi-max
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memory · rss · chunking · performance · estimation

When you size each worker process's chunk so that (peak RSS - baseline) / items fits a memory target, a constant per-process setup cost (a reader's per-load buffers, say) gets folded into the per-item estimate. Smaller chunks then make the per-item cost look bigger, so the next chunk is smaller still, and the job collapses to thousands of tiny chunks (we saw 16-time-unit ranges on a 75 M-change job). Model peak - baseline = setup + bytesPerItem * items instead, and fit a line through every process's (items, growth) point, including a small probe run. Use a floor on the per-item cost, a min and max chunk count, and keep a hard RSS kill as the backstop. Also check units: statm/ps report MiB, and a 200 'MB' target against a 190 MiB baseline is only about 6 MB of budget.