How are complex filters ensured in an aggregate?

In aggregates, complex filters are effectively managed by stacking multiple filters. This means that you can apply various criteria to filter the data being retrieved, leading to a more tailored and specific dataset output. By combining multiple filters, each with its own conditions, you can fine-tune the results based on different attributes or values within your data.

For example, if you need to retrieve records based on several fields, you can stack filters for each of those fields. If one filter specifies a condition on a date range and another on a status field, these filters work together to narrow down the results.

The other methods mentioned do not provide the same level of flexibility or might not be applicable in every scenario. Using SQL commands can be powerful, but it lacks the declarative and visual power that aggregates in OutSystems provide for rapid application development. Nested aggregates can complicate the data retrieval process and are generally used for other functionalities rather than filtering. Limiting the number of source entities does not inherently enhance filter complexity; it simply restricts the data sources available for the aggregate. Thus, stacking multiple aggregate filters remains the most effective way to achieve complex filters in this context.