Firebase Data Connect

Firebase SQL Connect - Android Setup Guide (Kotlin)

This guide describes the SDK setup and basic usage patterns for Firebase SQL Connect in an Android app using Kotlin DSL (build.gradle.kts) and Kotlin code.

Prerequisites

IMPORTANT: Before specifically working with Firebase SQL Connect, make sure to use the skill and reference firebase_basics/references/android_setup to ensure the following is done.

• The Firebase CLI is available and authenticated.

• An Android project exists and is registered with a Firebase Project.

• The Android project has a Firebase config file (google-services.json) and the Google services Gradle plugin (google-services).

Best practices for agents working with Firebase SQL Connect

• Understand Operation Storage: SQL Connect queries and mutations are stored on the server like Cloud Functions. Whenever you update operations, you must regenerate the SDK and redeploy services that use it to avoid breaking clients.

• Resilient Enum Handling: The generated SDK forces handling of unknown values by wrapping them in EnumValue. You must unwrap it into EnumValue.Known or EnumValue.Unknown to handle schema updates gracefully.

• Flow Behavior: While you can collect a Flow from a query, note that this Flow is not updated in real-time automatically by default. It only produces a result when a new query result is retrieved using a call to the query's execute() method.

• Leverage Coroutines: Call .execute() within a coroutine scope for asynchronous operations.

1. Add dependencies to Gradle build files

[!IMPORTANT] [AGENT] RESOLVING THE SDK VERSION DETERMINISTICALLY Never guess or hardcode a memorized out-of-date SDK or plugin version. Before adding dependencies, you MUST query the latest available versions directly from the Google Maven Repository:

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# Find the latest Firebase Android BoM version
curl -s https://dl.google.com/dl/android/maven2/com/google/firebase/firebase-bom/maven-metadata.xml | grep -oE '<latest>[^<]+' | cut -d'>' -f2

# Find the latest firebase-dataconnect version
curl -s https://dl.google.com/dl/android/maven2/com/google/firebase/firebase-dataconnect/maven-metadata.xml | grep -oE '<latest>[^<]+' | cut -d'>' -f2

If the dependency is already declared, fetch the exact resolved version currently active in the workspace's build graph:

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./gradlew -q :app:dependencyInsight --dependency firebase-dataconnect --configuration releaseRuntimeClasspath

In the module (app-level) build.gradle.kts (usually <project>/<app-module>/build.gradle.kts), add the Kotlin serialization plugin and the dependency for Firebase SQL Connect:

1. Add the Kotlin serialization plugin to the plugins block:

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   plugins {
       // ... other plugins
       kotlin("plugin.serialization") version "1.8.22" // Must match Kotlin version
   }

2. Add the required Firebase SQL Connect dependencies to the dependencies block:

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   dependencies {
       // ... other dependencies
   
       // [AGENT] Fetch the latest resolved version using the Gradle command above
       implementation(platform("com.google.firebase:firebase-bom:<latest_bom_version>"))
   
       // Add the dependency for the Firebase SQL Connect library
       // When using the BoM, don't specify versions in Firebase library dependencies
       implementation("com.google.firebase:firebase-dataconnect")
   
       // Add additional required dependencies
       implementation("org.jetbrains.kotlinx:kotlinx-coroutines-core:1.7.3")
       implementation("org.jetbrains.kotlinx:kotlinx-serialization-core:1.5.1")
   }

2. Initialize

Retrieve the generated connector instance:

import com.google.firebase.dataconnect.generated.MoviesConnector

val connector = MoviesConnector.instance

// For local development with emulator
// Defaults to correct host for Android emulator (10.0.2.2)
connector.dataConnect.useEmulator()
// Or specify a non-default port:
// connector.dataConnect.useEmulator(port = 9999)

3. Work with SQL Connect

Calling operations

Basic query

val result = connector.listMovies.execute()
result.data.movies.forEach { movie ->
    println(movie.title)
}

Mutation

val newMovie = connector.createMovie.execute(
    title = "Empire Strikes Back",
    releaseYear = 1980,
    genre = "Sci-Fi",
    rating = 5
)

Resilient enum handling

Unwrap the EnumValue to handle known and unknown cases safely.

val result = connector.listMovies.execute()

result.data.movies.forEach { movie ->
    when (val aspect = movie.aspectratio) {
        is EnumValue.Known -> println("Known aspect: ${aspect.value.name}")
        is EnumValue.Unknown -> println("Unknown aspect: ${aspect.stringValue}")
    }
}

Client-side caching

Enable caching in connector.yaml to reduce requests and support offline scenarios.

generate:
  kotlinSdk:
    outputDir: "../android"
    package: "com.google.firebase.dataconnect.generated"
    clientCache:
      maxAge: 5s
      storage: persistent # Default for Android is persistent

Use policies in code:

val queryResult = queryRef.execute(QueryRef.FetchPolicy.CACHE_ONLY)
val queryResult = queryRef.execute(QueryRef.FetchPolicy.SERVER_ONLY)

Data type mapping reference

• GraphQL String -> Kotlin String

• GraphQL Int -> Kotlin Int (32-bit)

• GraphQL Float -> Kotlin Double (64-bit)

• GraphQL Boolean -> Kotlin Boolean

• GraphQL UUID -> Kotlin java.util.UUID

• GraphQL Date -> Kotlin com.google.firebase.dataconnect.LocalDate

• GraphQL Timestamp -> Kotlin com.google.firebase.Timestamp

• GraphQL Int64 -> Kotlin Long

• GraphQL Any -> Kotlin com.google.firebase.dataconnect.AnyValue