In Guidewire Query API, which method supports database aggregate functions?

The reasoning behind choosing row queries is that they are specifically designed to handle more complex data retrieval operations, including performing aggregate functions directly within the database. Row queries work by selecting data in a flattened format, allowing for the application of functions such as SUM, COUNT, AVG, and others on the dataset. This capability is essential when needing to collate and summarize data directly from the underlying database.

Entity queries, on the other hand, are more oriented toward retrieving structured data that reflects the relationships and properties of the entities within the Guidewire data model. While they excel at returning objects and maintaining the integrity of the data model, they do not inherently support the execution of aggregate functions in the same manner as row queries. The detailed nature of aggregate functions typically requires the simpler format that row queries provide, making them advantageous for this specific need.

Overall, understanding the differences in how row and entity queries interact with the database is crucial to utilizing the Guidewire Query API effectively.