How can the request derived from this XPath be optimized: [OrderManagement.Stock_Product /OrderManagement.Product/Status = 'Deactivated' or OrderManagement.Stock_Supplier /OrderManagement.Supplier/Active = false()]?

The optimization of the request derived from the XPath focuses on how data retrieval can be conducted more efficiently. The best approach in this case is to split the original complex request into distinct queries that target specific criteria, then combine the results afterward. This method can enhance performance, especially when dealing with large datasets.

By breaking down the request, you can optimize the execution of each individual query. For example, retrieving deactivated products and checking for inactive suppliers as separate queries may allow the system to leverage indexing or caching mechanisms more effectively. It will enhance performance by minimizing the data processed in a single query and allow for more focused data operations. Once each query retrieves its respective results, they can be combined programmatically in the application logic.

Merely merging the queries may not lead to better performance if the resulting query becomes overly complex or if the criteria prevent efficient database operations. Keeping the request unchanged may offer clarity but doesn’t provide an opportunity for optimization. Utilizing SQL may be advantageous in some scenarios but bypasses the Mendix environment's capabilities and would not be an optimal solution for maintaining platform consistency.