Live text search with Firestore pipelines and React
Blog post from Firebase
Firestore Enterprise Edition’s built-in text search can be used in React applications by first creating a text index across relevant collection fields, then querying it through a Firestore pipeline with `documentMatches` and relevance-based score sorting. The example uses TanStack Query’s `useSuspenseQuery` to connect asynchronous search results to React Suspense, allowing parent components to handle loading fallbacks while a reusable results component displays up to ten matching recipes or default items when no query is entered. It demonstrates both search-on-submit and live-search interfaces, with the latter debouncing input by 300 milliseconds to reduce database requests and using React’s `useDeferredValue` to retain previous results during new queries, avoiding disruptive loading-state flashes. Suggested refinements include storing queries in the URL, requiring a longer minimum query length, displaying relevance scores, and combining search with additional Firestore pipeline filters.
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