One Small Script Change Turns Into 29 New Resident Loads.

One small change. Then another. Then another. Suddenly, 29 resident loads and a developer wondering where the day went.

Author

Glenda Carnate
August 07, 2026

Read time: 2.5 minutes

"It's just one small script change." You've probably heard it before. You'll probably hear it again. But it's never just one small change. 29 resident loads later, you're still working to fix it.

The stakeholder asked for a tiny change to a Qlik script. He opened the load script. He added a single resident load. Then another. And another. Hours later, he had counted up to 29. The script was a monster. The afternoon was gone.

So how do you prevent one small change from becoming 29 resident loads?

1. Understand the data model before adding new loads.
❌ Making changes without understanding their impact on the rest of the system.
✅ Checking the new loads' impact on the existing tables and their interdependence.
One change can quickly escalate into many.


2. Use staging tables to simplify the logic.
❌ Adding more and more resident loads in a long chain.
✅ Introducing staging tables into the process and separating the complexity of logic from the load script.
A cleaner design would mean fewer resident loads.


3. Always keep track of your resident loads.
❌ Not making a note about the nature of resident loads.
✅ Keeping notes mentioning why each resident load exists and what it depends on.
Future you will thank you.

💡Key Takeaway: 

A single little script alteration is not merely that alone. 29 resident loads into it, and you may be wishing you’d stopped at the first one.

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