Getting Started Guide for Kotlin Multiplatform Mobile (KMM) with Flexible Sync

Mohit Sharma
Realm Blog
Published in
9 min readJan 13, 2023

This is an introductory article on how to build your first Kotlin Multiplatform Mobile using Atlas Device Sync.

Introduction

Mobile development has evolved a lot in recent years and in this tutorial we are going discuss Kotlin Multiplatform Mobile (KMM), one such platform which disrupted the development communities by its approach and thoughts on how to build mobile apps.

Traditional mobile apps, either built with a native or hybrid approach, had their tradeoffs from development time to performance. But with the Kotlin Multiplatform approach, we can have the best of both worlds.

What is Kotlin Multiplatform Mobile (KMM)

Kotlin Multiplatform is all about code sharing within apps for different environments (iOS & Android). Some common use cases for shared code are getting data from the network, saving it into the device, filtering or manipulating data, etc. This is different from other cross-development frameworks as this enforces developers to share only business logic code rather than complete code which often makes things complicated, especially when it comes to building different complex custom UI for each platform.

Setting up your environment

If you are an Android developer then you don’t need to do much, the primary development of KMM apps is done using Android Studio. The only additional step for you is to install the KMM plugin via IDE plugin manager and one of the key benefits of this is it allows to you build and run the iOS app as well from Android Studio.

To enable iOS building and running via Android Studio your system should have Xcode installed, which is development IDE for iOS development.

To verify all dependencies are installed correctly we can use kdoctor, which can be installed using brew.

brew install kdoctor

Building Hello World!

With our setup complete, it is time to get our hands dirty quickly and build our first Hello World application.

Creating a KMM application is very easy, open Android Studio and then select Kotlin Multiplatform App from the New Project template and hit next.

On the next screen, add the basic application details like the name of the application, location of the project etc.

Finally, select the dependency manager for the iOS app which is recommended for Regular framework and then hit finish.

Once gradle sync is complete, we can run both iOS and Android app using the run button from the toolbar.

That will start the Android emulator or iOS simulator where our app would run.

iOS App
Android App

Basic of the Kotlin Multiplatform

Now it’s time to understand what is happening under the hood to grasp the basic concepts of KMM.

Understanding Project structure

Any KMM project can be split into three logic folders ie androidApp, iosApp and shared and each of these folders has a specific purpose.

Since KMM is all about sharing business/logic-related code all the shared code is written under shared the folder. This code is then exposed as libs to androidApp and iosApp folders allowing us to use shared logic by calling classes or functions and building a user interface on top of it.

Writing platform-specific code

There can be a few use cases where you like to use platform-specific APIs for writing business logic like in the Hello World! app where we wanted to know the platform type and version. To handle such use cases KMM has introduced the concept of actual and expect, which can be thought of as KMM's way of interface or Protocols.

In this concept, we define expect for the functionality to be exposed, and then we write its implementation actual for the different environments. Something like this

expect fun getPlatform(): String
actual fun getPlatform(): String = "Android ${android.os.Build.VERSION.SDK_INT}"
actual fun getPlatform(): String =
UIDevice.currentDevice.systemName() + " " + UIDevice.currentDevice.systemVersion

In the above example, you could notice that we are using platform-specific APIs like android.os or UIDevice in shared folder. To keep this organised and readable, KMM has divided the shared folder into three subfolders - commonMain, androidMain, iOSMain.

With this, we covered the basics of KMM (and that’s small learning curve for KMM is especially for people coming from android background) needed before building a complex and full-fledged real app.

Building a more complex app

Now let’s build our first real-world application, Querize, an app that helps you collect queries in real-time during a session. Although this is a very simple app, it still covers all the basic use cases highlighting the benefits of the KMM App with a complex one like accessing data in real-time.

The Tech stack for our app would be

  1. JetPack Compose for UI building.
  2. Kotlin Multiplatform with Realm as a middle layer.
  3. Atlas Flexible Device Sync from MongoDB, serverless backend supporting our data sharing.
  4. MongoDB Atlas, our cloud database

We would be following top to bottom approach in building the app, so let’s start building the UI using Jetpack compose with ViewModel.


@Composable
fun AddQuery(viewModel: MainViewModel) {
val queryText = remember { mutableStateOf("") }
TextField(
modifier = Modifier
.fillMaxWidth()
.padding(8.dp),
placeholder = { Text(text = "Enter your query here") },
trailingIcon = {
Icon(
painterResource(id = R.drawable.ic_baseline_send_24),
contentDescription = "",
modifier = Modifier.clickable {
viewModel.saveQuery(queryText.value)
queryText.value = ""
})
},
value = queryText.value,
onValueChange = {
queryText.value = it
})
}

@Composable
fun QueriesList(viewModel: MainViewModel) {
val queries = viewModel.queries.observeAsState(initial = emptyList()).value
LazyColumn(
verticalArrangement = Arrangement.spacedBy(12.dp),
contentPadding = PaddingValues(8.dp),
content = {
items(items = queries, itemContent = { item: String ->
QueryItem(query = item)
})
})
}

@Composable
fun QueryItem(query: String) {
Row(
modifier = Modifier
.fillMaxWidth()
.background(Color.White)
.padding(8.dp)
.clip(RoundedCornerShape(8.dp))
) {
Text(text = query, modifier = Modifier.fillMaxWidth())
}
}
class MainViewModel : ViewModel() {

private val repo = RealmRepo()

val queries: LiveData<List<String>> = liveData {
emitSource(repo.getAllData().flowOn(Dispatchers.IO).asLiveData(Dispatchers.Main))
}

fun saveQuery(query: String) {
viewModelScope.launch {
repo.saveInfo(query)
}
}
}

In our viewModel, we have a method saveQuery to capture the user queries and share them with the speaker. This information is then passed on to our logic layer, RealmRepo, which is built using Kotlin Multiplatform for Mobile (KMM) as we would like to reuse this for code when building an iOS app.

class RealmRepo {

suspend fun saveInfo(query: String) {

}

}

Now to save and share this information we need to integrate this with Atlas Device Sync which will automatically save and share this information with our clients in real-time. To connect with Device Sync, we need to add Realm SDK first to our project, which provides us integration with Device Sync out of the box.

Realm is not just SDK for integration with Atlas Device Sync, but it’s a very powerful object-oriented mobile database built using KMM and one of the key advantages of using, this makes our app work offline without any effort.

Adding Realm SDK

This step is broken further for ease of understanding.

Adding Realm plugin

Open build.gradle file under project root and add the Realm plugin

From

plugins {
id("com.android.application").version("7.3.1").apply(false)
id("com.android.library").version("7.3.1").apply(false)
kotlin("android").version("1.7.10").apply(false)
kotlin("multiplatform").version("1.7.20").apply(false)
}

To

plugins {
id("com.android.application").version("7.3.1").apply(false)
id("com.android.library").version("7.3.1").apply(false)
kotlin("android").version("1.7.10").apply(false)
kotlin("multiplatform").version("1.7.20").apply(false)
// Added Realm plugin
id("io.realm.kotlin") version "0.10.0"
}

Enabling Realm Plugin

Now let us enable the Realm plugin for our project, therefore we would be making corresponding changes to build.gradle file under shared module.

From

plugins {
kotlin("multiplatform")
kotlin("native.cocoapods")
id("com.android.library")
}

To

plugins {
kotlin("multiplatform")
kotlin("native.cocoapods")
id("com.android.library")
// Enabled Realm Plugin
id("io.realm.kotlin")
}

Adding dependencies

With the last step done, we are just one step away from completing the Realm setup. In this step, we add the Realm dependency to our project.

Since the Realm database will be shared across all platforms, we will be adding the Realm dependency to the common source shared. In the same build.gradle file, locate the sourceSettag and update it to:

From

sourceSets {
val commonMain by getting {
dependencies {
}
}
// Other config
}

To

sourceSets {
val commonMain by getting {
dependencies {
implementation("io.realm.kotlin:library-sync:1.4.0")
}
}

}

With this, we have completed the Realm setup for our KMM project. If you would like to use any part of the SDK inside the Android module you can add the dependency in Android Module build.gradle file

dependencies {
compileOnly("io.realm.kotlin:library-sync:1.4.0")
}

Since Realm is an object-oriented database, therefore we can save objects directly without getting into the hassle of converting them into different formats. To save any object into the Realm database it should be derived from RealmObject class.

class QueryInfo : RealmObject {
@PrimaryKey
var _id: String = ""
var queries: String = ""
}

Now let’s save our query into the local database which will then be synced using Atlas Device Sync and saved into our cloud database, Atlas.

class RealmRepo {

suspend fun saveInfo(query: String) {
val info = QueryInfo().apply {
_id = RandomUUID().randomId
queries = query
}
realm.write {
copyToRealm(info)
}
}
}

The next step is to create a Realm instance which we used to save the information. To create a Realm, an instance of Configuration is needed which in turn needs a list of classes that can be saved into the database.

val realm by lazy {
val config = RealmConfiguration.create(setOf(QueryInfo::class))
Realm.open(config)
}

This Realm instance is sufficient for saving data into the device but in our case we need to integrate this with Atlas Device Sync to save and share our data into the cloud. To do this we need four more steps:

  1. Create a free MongoDB account.
  2. Follow the setup wizard after signing up to create a free cluster.
  3. Create an App with App Service UI to enable Atlas Device Sync.
  4. Enable Atlas Device Sync using Flexible Sync, select the App services tab and enable sync as shown below

Now let’s connect our Realm and Atlas Device Sync. To do this, we need to modify our Realm instance creation. Instead of using RealmConfiguration we need to use SyncConfiguration.

SyncConfiguration instance can be created using its builder which needs a user instance and initialSubscriptions as additional information. Since our application doesn't have user registration form we can use anonymous sign-in provided by Atlas App service to identify as user session. So our updated code looks like this

private val appServiceInstance by lazy {
val configuration =
AppConfiguration.Builder("application-0-elgah").log(LogLevel.ALL).build()
App.create(configuration)
}
lateinit var realm: Realm
private suspend fun setupRealmSync() {
val user = appServiceInstance.login(Credentials.anonymous())
val config = SyncConfiguration
.Builder(user, setOf(QueryInfo::class))
.initialSubscriptions { realm ->
// information about the data that can be read or modified.
add(
query = realm.query<QueryInfo>(),
name = "subscription name",
updateExisting = true
)
}
.build()
realm = Realm.open(config)
}
suspend fun saveInfo(query: String) {
if (!this::realm.isInitialized) {
setupRealmSync()
}

val info = QueryInfo().apply {
_id = RandomUUID().randomId
queries = query
}
realm.write {
copyToRealm(info)
}
}

Now the last step to complete our application is to write a read function to get all the queries and show it on UI.

suspend fun getAllData(): CommonFlow<List<String>> {
if (!this::realm.isInitialized) {
setupRealmSync()
}
return realm.query<QueryInfo>().asFlow().map {
it.list.map { it.queries }
}.asCommonFlow()
}

Also, you can view or modify the data received via the saveInfo function using the Atlas UI.

With this done our application is ready to send and receive data in real-time. Yes, in real-time. No additional implementation is required to make it real-time.

Summary

Thank you for reading and hopefully find this article informative! The Complete source code of the app can be found on GitHub.

If you have any queries or comments, you can share them on the MongoDB Realm forum or tweet me @codeWithMohit.

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