37 results found
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Realtime Query Updates
Subscribe to realtime updates for a limited subset of queries, for example retrieving updates to specific rows or getting new items for a simple timeline.
195 votes -
Event Triggers
Trigger a Cloud Function when data in a table type is created (via insert or upsert), updated (via update or upsert), or deleted.
121 votes -
Cloud Firestore Datasource
Support Cloud Firestore as a datasource for Data Connect in addition to Cloud SQL. Support data model mapping (e.g.
@collection) and querying via GraphQL99 votes -
Offline Support
Allow data to be cached and accessible offline. Offline data may have limited query and write capabilities compared to online data
83 votes -
SQL Full-Text Search
Index and query your data with full-text search leveraging PostgreSQL's built-in capabilities including stemming, ignoring stop words, and weighted relevance scoring.
88 votes -
Support fetching/returning data from mutations
Currently mutations return only the primary key of the created record, but it would be nice to be able to fetch the full record (including e.g. defaulted values) as part of a mutation.
19 votes -
SQL Aggregation Queries in GraphQL
Support aggregations (COUNT, SUM, AVG, MIN, MAX) with grouping as part of the built-in GraphQL query builder.
29 votes -
Custom Serverless Resolvers
Write Node.js resolvers to enhance Data Connect with arbitrary server logic. Resolvers will be authored alongside the Data Connect schema and deployed to serverless infrastructure. Resolvers can either provide new top-level Query and Mutation fields or integrate with SQL table types.
20 votes -
Low-Latency Data Cache
Allow configurable caching of query results for reduced end-to-end latency and reduced resource pressure on underlying data sources.
18 votes -
Field Validation
Allow validation (e.g. min/max values, length, regex match) with custom error messages on both fields and variables. Enforce validation server-side but also provide client-side validation of variables for generated SDKs.
18 votes -
Support geographic area and proximity searches with PostGIS
Add GeoPoint and GeoBox scalar types and enable rich geo searching queries including indexing, "search within area", "find closest to point within radius", etc.
9 votes -
Integrate with Row Level Security (RLS)
Allow clear integration with Postgres's RLS while defining access permissions.
15 votes -
Connectors with Admin-Only Access
Create sets of reusable operations that are not accessible from client applications but can be called from server code or manually in the Firebase Console.
13 votes -
Schema Creator Tool in the Firebase Console
Support creating GraphQL schema in the Firebase console
13 votes -
GraphQL Federation
Support federating a Data Connect service with other GraphQL schemas using federation protocols. Stitch together existing GraphQL services with Data Connect.
12 votes -
File Uploads
Store and retrieve large files with Data Connect through an integration with Google Cloud Storage.
13 votes -
Support inline/embeded types stored as structured JSONB columns
Allow storing structured types in JSONB columns using an @inline (or @embed) directive on the field.
type Address {
street: String!
street2: String
city: String!
state: String!
zipcode: String!
}type User @table {
address: Address @inline # stores as JSONB
}7 votes -
Managed SQL Schema Migrations
Data Connect automatically queues and applies database schema migrations as you make changes to your application's schema including destructive migration detection and diff approval.
11 votes -
Extension support, i.e. postgis
One of the things that makes postgres great is it's extension support. Inability to integrate with extensions like postgis is a severe blocker.
10 votes -
Support storing unstructured json in Postgres jsonb column
Postgres support jsonb column that can store arbitrary jsonb objects, very suitable to store unstructured / semi-structured API output.
Postgres also supports index on fields within jsonb.
Can data connect support jsonb column? Mapping fields of API object to Postgres columns can be a headache
8 votes
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