How does GraphQL's own built in caching mechanism, typically provided through a normalized cache, genuinely help meaningfully reduce redundant, unnecessary network requests within a Flutter app?

A properly configured GraphQL client typically maintains its own normalized cache, meaning individual returned objects are genuinely stored just once, keyed uniquely by their own specific unique identifier, and any other separate query that later happens to request that exact same specific object can then simply and efficiently be served directly from that existing local cache rather than genuinely needing to make an entirely new separate network request, and this caching approach can meaningfully and noticeably improve perceived performance, particularly for data that is genuinely likely to actually be requested again fairly soon from a genuinely different unrelated specific screen elsewhere within that same app.

final client = GraphQLClient(
  cache: GraphQLCache(store: HiveStore()),
  link: httpLink,
);