Android framework and solution that prevents TransactionTooLargeException crashes by design.
io.github.grarcht/shuttle (MCP Server)
The io.github.grarcht/shuttle server relates to an Android framework/solution designed to prevent TransactionTooLargeException crashes by design. Its scope is described as ensuring Android transactions avoid the specific exception that can otherwise occur.
๐ ๏ธ Key Features
Android framework and solution
Prevents TransactionTooLargeException crashes by design
๐ Use Cases
Android applications affected by TransactionTooLargeException
โ ๏ธ Limitations
Server metadata provided only includes a brief description; no additional capabilities or tooling details are specified (e.g., tool count, specific interfaces).
โก Developer Benefits
A design-oriented approach to avoid TransactionTooLargeException in Android contexts
android.os.TransactionTooLargeException: data parcel size X bytes
It didn't show up in dev. It didn't show up in QA. It showed up at 2am, in production, for real users. Your Play Store rating took the hit before anyone on the team even knew.
So you triaged it. Filed the ticket. Wrote the fix. Reviewed the PR. Ran QA again. Cut the hotfix. And then you added it to the code review checklist, hoping the next engineer would catch it before it happened again.
They won't. Not reliably. You can't review your way out of a structural problem.
Shuttle provides a modern, guarded way to pass large Serializable objects with Intent objects or save them in Bundle objects to avoid app crashes. The crash class is structurally prevented, not governed against.
Why keep spending more time and money on governance through code reviews? Why not embrace the problem by providing a solution for it?
Shuttle reduces the high level of governance needed to catch TransactionTooLargeException inducing code by:
storing the Serializable and passing an identifier for the Serializable
using a small-sized Bundle for binder transactions
avoiding app crashes from TransactionTooLargeExceptions
enabling retrieval of the stored Serializable at the destination
Shuttle also excels by:
providing a solution with maven artifacts
providing Solution Building Blocks (SBBs) for building on
saving time by avoiding DB and table setup, especially when creating many tables for the content of different types of objects
When envisioning, designing, and creating the architecture, quality attributes and best practices were kept in mind. These attributes include usability, readability, recognizability, reusability, maintainability, and more.
Without Shuttle
With Shuttle
Large Serializable passed in Intent/Bundle
Object stored in a warehouse; only a small identifier is passed
Silent in dev, catastrophic in production
Binder transaction stays within safe size limits, everywhere
Time and money spent on crash investigation, fixes, QA, and hotfixes
Crash class is structurally impossible
Requires constant code review governance
Ship with confidence
Engineers manually manage object lifecycles
Automatic or on-demand cargo cleanup built in
image
image
โ๏ธ How It Works
The Shuttle framework takes its name from cargo transportation in the freight industry. Moving and storage companies experience scenarios where large moving trucks cannot transport cargo the entire way to the destination (warehouses, houses, et cetera). These scenarios might occur from road restrictions, trucks being overweight from large cargo, and more. As a result, companies use small Shuttle vans to transport smaller cargo groups on multiple trips to deliver the entire shipment.
After the delivery is complete, employees remove the cargo remnants from the shuttle vans and trucks. This clean-up task is one of the last steps for the job.
The Shuttle framework takes its roots in these scenarios:
creating a smaller cargo bundle object to use in successfully delivering the data to the destination
shuttling the corresponding large cargo to a warehouse and storing it for pickup
linking the smaller cargo with the larger cargo by an identifier
providing a single source of truth (Shuttle interface) to use for transporting cargo
providing convenience functions to remove cargo (automatically or on-demand)
Shuttle applies this same logic to Android's binder transaction limit:
code
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Source Component โ
โ 1. Large Serializable -> stored in Warehouse (Room/DB) โ
โ 2. Small cargo ID -> passed in Intent/Bundle โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฌโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ (tiny binder transaction)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโผโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ Destination Component โ
โ 3. Cargo ID received -> retrieved from Warehouse โ
โ 4. Large Serializable -> delivered via Kotlin Channel โ
โ 5. Cleanup -> cargo removed from Warehouse automatically โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Requirements
Requirement
Minimum
Android min SDK
26
Kotlin
2.2.10
AGP (Android Gradle Plugin)
8.0+
KSP
Required only when using @ShuttleCargo
Java
21
๐ Quick Start
1. Add Dependencies
settings.gradle.kts โ apply the Shuttle Gradle plugin so the @ShuttleCargo annotation processor is wired into your build:
@ShuttleCargo annotates the cargo class you want to transport between screens. At build time, the annotation processor generates the serialization code Shuttle needs to store and retrieve cargo, without any manual Serializable boilerplate.
kotlin
pluginManagement {
plugins {
id("com.grarcht.shuttle.cargo") version "4.0.0"
}
}
The Shuttle Cargo Gradle plugin configures KSP and registers the Shuttle compiler plugin automatically. Without it, @ShuttleCargo-annotated classes will not generate the required serialization glue code.
build.gradle.kts:
kotlin
plugins {
id("com.grarcht.shuttle.cargo")
}
dependencies {
implementation(platform("com.grarcht.shuttle:shuttle-bom:4.0.0"))
implementation("com.grarcht.shuttle:framework")
implementation("com.grarcht.shuttle:framework-integrations-persistence")
implementation("com.grarcht.shuttle:framework-integrations-extensions-room")
implementation("com.grarcht.shuttle:framework-addons-navigation-component") // Optional// Annotation-based API โ use @ShuttleCargo to own the serialization contract
implementation("com.grarcht.shuttle:framework-annotations")
ksp("com.grarcht.shuttle:framework-annotations-processor")
}
Version Catalog (libs.versions.toml):
toml
[versions]shuttle = "4.0.0"[plugins]shuttle-cargo = { id = "com.grarcht.shuttle.cargo", version.ref = "shuttle" }
[libraries]shuttle-bom = { group = "com.grarcht.shuttle", name = "shuttle-bom", version.ref = "shuttle" }
shuttle-framework = { group = "com.grarcht.shuttle", name = "framework" }
shuttle-persistence = { group = "com.grarcht.shuttle", name = "framework-integrations-persistence" }
shuttle-room = { group = "com.grarcht.shuttle", name = "framework-integrations-extensions-room" }
shuttle-navigation = { group = "com.grarcht.shuttle", name = "framework-addons-navigation-component" }
shuttle-annotations = { group = "com.grarcht.shuttle", name = "framework-annotations" }
shuttle-annotations-processor = { group = "com.grarcht.shuttle", name = "framework-annotations-processor" }
The ShuttleDataAccessObject comes from ShuttleRoomDataDb.getInstance(ShuttleRoomDbConfig(context)).shuttleDataAccessObject. Inject Shuttle wherever you need to transport data.
3. Ship Your First Cargo
kotlin
// Source: transport a large Serializable via Intent
shuttle.intentCargoWith(context, DestinationActivity::class.java)
.transport(cargoId, myLargeSerializable)
.cleanShuttleOnReturnTo(SourceFragment::class.java, DestinationActivity::class.java, cargoId)
.deliver(context)
kotlin
// Destination: pick up the cargo
lifecycleScope.launch {
getShuttleChannel()
.consumeAsFlow()
.collectLatest { result ->
when (result) {
is ShuttlePickupCargoResult.Success<*> -> render(result.dataas MyModel)
is ShuttlePickupCargoResult.Error<*> -> showError()
ShuttlePickupCargoResult.Loading -> showLoading()
}
}
}
That's it. No custom DB setup. No table management. No crash.
๐ฆ Usage
The recommended entry point is the Shuttle interface with CargoShuttle as the implementation. It's a single source of truth for all cargo transport operations.
โน๏ธ cleanShuttleOnReturnTo is important. It ensures cargo is purged from the Warehouse when it's no longer needed.
Transport with the Navigation Component
Source fragment:
kotlin
val cargoId = ImageMessageType.ImageData.value
navController.navigateWithShuttle(shuttle, R.id.MVVMNavSecondViewActivity)
?.logTag(LOG_TAG)
?.transport(cargoId, imageModel as Serializable)
?.cleanShuttleOnReturnTo(
MVVMNavFirstViewFragment::class.java,
MVVMNavSecondViewActivity::class.java,
cargoId
)
?.deliver()
Pick Up Cargo at the Destination
In a Fragment/Activity:
kotlin
lifecycleScope.launch {
getShuttleChannel()
.consumeAsFlow()
.collectLatest { result ->
when (result) {
ShuttlePickupCargoResult.Loading -> initLoadingView(view)
is ShuttlePickupCargoResult.Success<*> -> { showSuccessView(view, result.dataas ImageModel); cancel() }
is ShuttlePickupCargoResult.Error<*> -> { showErrorView(view); cancel() }
}
}
}
In a ViewModel:
kotlin
viewModelScope.launch {
shuttle.pickupCargo<Serializable>(cargoId = cargoId)
.consumeAsFlow()
.collectLatest { result ->
pickupCargoMutableStateFlow.value = result
when (result) {
is ShuttlePickupCargoResult.Success<*>,
is ShuttlePickupCargoResult.Error<*> -> cancel()
else -> { /* await */ }
}
}
}
Cargo States (LCE Pattern)
Shuttle returns sealed class results that promote the Loading-Content-Error (LCE) pattern, giving consumers full control over UI state, analytics, and error handling.
Operation
Return Type
States
Store cargo
Channel<ShuttleStoreCargoResult>
Storing, Success, Error
Pick up cargo
Channel<ShuttlePickupCargoResult>
Loading, Success, Error
Remove cargo
Channel<ShuttleRemoveCargoResult>
Removing, Success, Error
Using @ShuttleCargo
Annotate any data class you want to transport through Shuttle. The annotation processor generates the serialization code at build time so you never write it by hand:
kotlin
@ShuttleCargodataclassImageModel(
val id: String,
val title: String,
val byteArray: ByteArray
)
That's the entire declaration. No Serializable implementation, no custom read/write methods. Then transport it the same way as any other object:
Cargo is automatically removed when using cleanShuttleOnReturnTo. For manual control:
kotlin
// Remove a specific cargo item
shuttle.removeCargoBy(cargoId)
// Remove all cargo
shuttle.removeAllCargo()
๐๏ธ Architecture
Shuttle is a layered Solution Building Block (SBB) framework. Each layer has a well-defined responsibility and no layer forces technology choices on consumers.
Module Overview
Module
Role
Required?
framework
Core interfaces, transport logic, sealed result types
โ Yes
framework-integrations-persistence
Persistence abstraction/interfaces
โ Yes
framework-integrations-extensions-room
Room implementation of persistence interfaces
โก Default (swappable)
framework-addons-navigation-component
Navigation Component integration
โ Optional
framework-annotations
@ShuttleCargo annotation for marking data classes as transportable
โ Optional
framework-annotations-processor
KSP processor that generates serialization code at build time
โ Optional
framework-annotations-gradle-plugin
Gradle plugin that wires KSP and the compiler plugin automatically
โ Optional
Context Diagram
Shuttle Context Diagram
Module Dependency Diagram
graph TD
A[Your Application]
A --> B[framework / core]
A --> C[framework-addons-navigation-component]
A --> D[your custom integration]
B --> E[framework-integrations-persistence / abstraction layer]
E --> F[framework-integrations-extensions-room / default implementation]
Why this layering matters: The persistence abstraction means you can swap Room for any other storage implementation without touching the framework or your application code. Bring your own persistence layer by implementing the integration interfaces.
Shuttle avoids bundling large reactive libraries. Asynchronous communication runs on Kotlin Coroutines and Channels only, which keeps the transitive dependency footprint lean.
๐ฌ Demo Apps
The demo apps show both the crash scenario and the Shuttle solution side-by-side, using image data transport. Image data is one of the most common real-world contributors to TransactionTooLargeException.
Two architecture patterns are covered:
MVVM: Activities/Fragments as View, ViewModel as state owner and liaison, Kotlin Channels for async notification.
Flow 1: Navigate with Shuttle โ
Tap "Navigate using Shuttle" -> image loads successfully via warehouse pickup.
Main Menu
Cargo Unloaded
image
Flow 2: Navigate Normally โ
Tap "Navigate Normally" -> app crashes with TransactionTooLargeException.
Main Menu
After Crash
โน๏ธ For image loading in production, use Glide or Coil. The demo uses raw image data intentionally to trigger the crash condition.
โ ๏ธ Heads Up: Know the Tradeoffs
Other Parcelable objects in the same Intent can still crash your app. Shuttle protects the Serializable payload. It doesn't protect unrelated Parcelable data you're also passing.
Serializable is slower than Parcelable. Parcelable is optimized for IPC and faster to load, but it's unsafe for disk storage. Google recommends serialization for persistence, which is why Shuttle uses it. The LCE state pattern (loading state) gives your UI the hook it needs to handle the slightly longer load time gracefully.
These are documented tradeoffs, not bugs. Architecture is always about weighing options. This one is worth it.