Size batch jobs and check they complete within the processing window.
Parallel scaling is never perfect, so effective throughput falls short of workers multiplied by per-worker rate. Planning to the window with margin matters because a batch that overruns delays everything downstream. Efficiency typically falls as worker count rises, so doubling workers rarely halves runtime beyond a certain point.
Batch Processing
Runtime = records ÷ (per-worker rate × workers × parallel efficiency)
Runtime = records ÷ (per-worker rate × workers × parallel efficiency) Parallel scaling is never perfect, so effective throughput falls short of workers multiplied by per-worker rate. Planning to the window with margin matters because a batch that overruns delays everything downstream.
Efficiency typically falls as worker count rises, so doubling workers rarely halves runtime beyond a certain point.
This calculator takes 5 inputs: Records to process, Records per second per worker, Workers, Processing window, Parallel efficiency. The pre-filled defaults are a realistic starting point — replace them with figures from your own environment for a result you can act on.