Product Tree Denormalization and the Anatomy of Technical Debt
A manufacturing ERP's shipment report was taking over three hours to generate due to accumulated technical debt from an earlier denormalization decision in the database design. The denormalization, initially implemented to improve performance, became a bottleneck as product complexity and volume grew. This case illustrates how short-term performance fixes can lead to long-term operational disruptions.
- ▪The weekly shipment report had to traverse complex, multi-layered product trees to calculate sub-component needs and stock levels.
- ▪Denormalization was used to store aggregated data like total component costs to avoid expensive JOIN operations in queries.
- ▪As the number of products grew from 200 to over 2,000, the performance gains from denormalization eroded, causing report times to increase from 10 minutes to 3 hours.
- ▪The delayed report disrupted production and shipment planning, pushing back critical meetings and increasing operational stress.
- ▪Storing redundant data in the main product table, such as material costs, initially improved performance but created maintenance challenges and data consistency risks over time.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3921203) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mustafa ERBAY Posted on May 16 • Originally published at mustafaerbay.com.tr Product Tree Denormalization and the Anatomy of Technical Debt #life #technicaldebt #denormalization #erp Recently, I noticed that a report related to complex product trees in a manufacturing ERP was taking over 3 hours to complete. The delay in the report directly impacted shipment planning, which in turn severely disrupted the company's daily operations.
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