Aggregate Fields for Data Connect
Blog post from Firebase
Firebase Data Connect, now renamed SQL Connect, introduces generated aggregate fields that let developers perform common database calculations directly in queries instead of defining SQL-backed `@view` types. Supported operations include row and non-null field counts, minimums, maximums, sums, and averages for numeric values, date and timestamp ranges, distinct-value retrieval and counting, grouped aggregates, and row- and group-level filtering through `where` and `having`. Using a movie-review example, the announcement shows how these fields can simplify tasks such as counting movies or ratings, finding release-year and review-date ranges, listing genres, calculating average ratings by genre, and aggregating related records across tables. More complex or nested calculations, such as averaging review counts per movie within each genre, still require `@view` and custom SQL. Because aggregates run on the server, they can improve application performance, reduce data-transfer costs, and limit client access to raw data.
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