JDE Cutover Data Load Time Calculator
The cutover weekend plan is only as good as the load rate behind it. This calculator gives a first timeline and shows how much extra parallelism actually buys before fixed steps dominate.
Your numbers
Sum across all tables in the cutover load, not just masters.
Real scaling after contention and uneven table sizes.
Your results
Estimate from rates you supply. Time a full-volume mock cutover to replace these inputs with measured values.
Total hours vs parallel streams
Sweeps Parallel streams from 1 to 20, holding your other inputs fixed.
Cutover runbook review
Optional: a short review of your cutover plan and reconciliation approach.
Optional. The tool and every export work without this. No spam.
How to use it
Take row counts from the conversion mappings and the load rate from a mock cutover. Enter how many streams you can run safely against the target database and a realistic efficiency. Add fixed steps that do not parallelize, such as index rebuilds and reconciliation, then a contingency buffer.
The arithmetic
Load hours are rows divided by rate times streams times efficiency, converted to hours. Fixed steps are added, and the buffer is applied to the sum. The sweep makes the point that after a few streams the fixed steps set the floor, so effort is better spent shortening validation than adding streams.
- Run at least two full mock cutovers.
- Sequence by table dependency, not size.
- Plan a go or no-go checkpoint before the point of no return.
Common mistakes
Using production rates measured on a quiet system, forgetting that validation often takes longer than the load, and leaving no time for rollback. Decide in advance the hour at which you will roll back, and make sure the plan could still do it.
Frequently Asked Questions
What load rate should I use?
Use the rate from your latest full-volume mock load, per stream, on hardware matching production. A small test understates contention.
How many streams is too many?
When rows per second per stream starts to fall, the database or storage is saturated. Test increments and stop where total throughput stops rising.
Why add a contingency buffer?
Reruns, data fixes and slow reconciliation are common. A buffer of 15 to 30 percent is typical in plans, but use what your mock cutovers show.
Is this JDE-specific?
The arithmetic is generic. It is labeled for JDE because conversions there run as UBEs or SQL loads into F-tables, with indexes and reconciliation steps.
Netray can help build reconciliation queries and a cutover runbook with your project team.
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