Unveiling Firestore Pipeline operations
Blog post from Firebase
Google Cloud and Firestore have introduced a redesigned query engine for Firestore Enterprise edition, adding Pipeline operations and more than 100 query capabilities that enable multi-stage transformations, arbitrary aggregations, array unnesting, map operations, and regular-expression string matching. Pipeline operations allow developers to compose queries from stages, expressions, and functions, illustrated by a recipe application that extracts and ranks popular tags directly from document arrays without maintaining separate metadata. Enterprise edition makes indexes optional rather than automatically indexing collections, potentially improving write performance and reducing storage costs, while tools such as Query Explain and Query Insights help developers identify when indexes are needed; it also supports sparse, non-sparse, and unique indexes. Available now for Android, iOS, web, and Admin SDKs, with Flutter, Unity, and C++ support planned, the feature requires a new Enterprise database and updated SDKs. Existing Standard edition users may migrate data through Firestore import and export tools but must recreate indexes and security rules, while Standard edition and its existing query methods will remain supported indefinitely.
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