Handling large data sets efficiently is key for performance in Mendix apps. Here’s an advanced approach combining paging with microflows:
Use Data Grid Paging, set a page size (e.g., 20-50) so only a small subset loads at once.
Microflow as Data Source, use a microflow to fetch data. Mendix passes PageNumber and PageSize to it. Use these to limit the data retrieved.
Efficient Queries, apply filtering and sorting in your microflow using XPath constraints or database queries with indexed attributes to speed up retrieval.
Load Only Needed Data, avoid loading all records or unnecessary related entities to reduce memory and improve speed.
Performance Tips:
Index attributes used for filters/sorting.
Use Mendix performance tools to monitor queries.
Cache static data if possible.
This approach combines Mendix’s paging with custom microflow logic to optimize large data handling.
Great exchange,
Using paging with a microflow data source gives more control, especially when combined with good filtering and indexing, just need to avoid unnecessary data retrieved and keep the memory in check.
Nice!!!