Skip to main content

Android On Device Evaluation

Installation​

You can install the SDK using JitPack. See the latest version and installation steps at https://jitpack.io/#statsig-io/android-local-eval.

Initialize the SDK​

Initialize the SDK using a Client SDK key from the "API Keys" tab on the Statsig console. When creating the key, or using an existing key, you will need to add the "Allow Download Config Specs" scope. Client keys, by default, are not able to download the project definition to do on device evaluation. You must opt in to allow your client key to access your full project definition on our cdn.

When creating a new client key, select "Allow Download Config Specs"

Add DCS Scope to Existing Key

caution

Do NOT embed a Server Secret Key in client side applications.

import com.statsig.androidlocalevalsdk.*;

// ...

android.app.Application app = // ref to your Application instance

StatsigOptions opts = new StatsigOptions();
opts.setEnvironmentParameter("tier", "staging");

StatsigClient client = Statsig.INSTANCE.getClient();
client.initializeAsync(
        app,
        "client-YOUR_CLIENT_SDK_KEY",
        new IStatsigCallback() {
            @Override
            public void onStatsigInitialize(@NotNull InitializationDetails initDetails) {
                // Statsig Ready
            }

            @Override
            public void onStatsigInitialize() {
                // deprecated
            }
        },
        opts
);


// or, create your own instance of StatsigClient
StatsigClient client = new StatsigClient();
client.initializeAsync(...);

Working with the SDK​

Checking a Feature Flag/Gate​

Now that your SDK is initialized, let's check a Feature Gate. Feature Gates can be used to create logic branches in code that can be rolled out to different users from the Statsig Console. Gates are always CLOSED or OFF (think return false;) by default.

StatsigUser user = new StatsigUser("a-user");
StatsigClient client = Statsig.INSTANCE.getClient();

if (client.checkGate(user, "new_homepage_design")) {
  // Gate is on, show new home page
} else {
  // Gate is off, show old home page
}

Reading a Dynamic Config​

Feature Gates can be very useful for simple on/off switches, with optional but advanced user targeting. However, if you want to be able send a different set of values (strings, numbers, and etc.) to your clients based on specific user attributes, e.g. country, Dynamic Configs can help you with that. The API is very similar to Feature Gates, but you get an entire json object you can configure on the server and you can fetch typed parameters from it. For example:

StatsigUser user = new StatsigUser("a-user");
StatsigClient client = Statsig.INSTANCE.getClient();

DynamicConfig config = client.getConfig(user, "awesome_product_details");

// The 2nd parameter is the default value to be used in case the given parameter name does not exist on
// the Dynamic Config object. This can happen when there is a typo, or when the user is offline and the
// value has not been cached on the client.
String itemName = config.getString("product_name", "Awesome Product v1");
Double price = config.getDouble("price", 10.0);
Boolean shouldDiscount = config.getBoolean("discount", false);

Getting an Layer/Experiment​

Then we have Layers/Experiments, which you can use to run A/B/n experiments. We offer two APIs, but we recommend the use of layers to enable quicker iterations with parameter reuse.

StatsigUser user = new StatsigUser("a-user");
StatsigClient client = Statsig.INSTANCE.getClient();

// Values via getLayer

Layer layer = client.getLayer(user, "user_promo_experiments")
String promoTitle = layer.getString("title", "Welcome to Statsig!");
Double discount = layer.getDouble("discount", 0.1);

// or, via getExperiment

DynamicConfig titleExperiment = client.getExperiment(user, "new_user_promo_title");
DynamicConfig priceExperiment = client.getExperiment(user, "new_user_promo_price");

String promoTitle = titleExperiment.getString("title", "Welcome to Statsig!");
Double discount = priceExperiment.getDouble("discount", 0.1);

...

Double price = msrp * (1 - discount);

Logging an Event​

Now that you have a Feature Gate or an Experiment set up, you may want to track some custom events and see how your new features or different experiment groups affect these events. This is super easy with Statsig - simply call the Log Event API for the event, and you can additionally provide some value and/or an object of metadata to be logged together with the event:

StatsigUser user = new StatsigUser("user_id");
StatsigClient client = Statsig.INSTANCE.getClient();

client.logEvent(user, "purchase", 2.99, Map.of("item_name", "remove_ads"));

Learn more about identifying users, group analytics, and best practices for logging events in the logging events guide.

Statsig Options​

You can pass in an optional parameter options in addition to sdkKey and user during initialization to customize the Statsig client. Here are the current options and we are always adding more to the list:

  • configSpecAPI - String, default https://api.statsigcdn.com/v1/download_config_specs/

    • The endpoint to use for downloading config spec network requests. You should not need to override this (unless you have another API that implements the Statsig API endpoints)

  • eventLoggingAPI - String, default https://events.statsigapi.net/v1/rgstr

    • The endpoint to use for log events. You should not need to override this (unless you have another API that implements the Statsig API endpoints)

  • initTimeoutMs: Long, default 3000

    • used to decide how long the Statsig client waits for the initial network request to respond before calling the completion block. The Statsig client will return either cached values (if any) or default values if checkGate/getConfig/getExperiment is called before the initial network request completes.
    • if you always want to wait for the latest values fetched from Statsig server, you should set this to 0 so we do not timeout the network request.
    • unit is milliseconds.

  • overrideStableID: String?, default null

    • overrides the stableID in the SDK that is set for the user

  • loadCacheAsync: Boolean, default false

    • Whether or not the SDK should block on loading saved values from disk.

  • initializeValues: Map<String, Any>?, default null

  • disableDiagnosticsLogging: boolean?, default false

    • Prevent the SDK from sending useful debug information to Statsig

Methods​

  • setTier | setEnvironmentParameter | getEnvironment
    • used to signal the environment tier the user is currently in.
    • setTier can be PRODUCTION, STAGING or DEVELOPMENT. e.g. passing in a value of Tier.STAGING will allow your users to pass any condition that pass for the staging environment tier, and fail any condition that only passes for other environment tiers.
    • setEnvironmentParameter can be used for custom tiers, eg options.setEnvironmentParameter("tier", "test")

Shutting Statsig Down​

In order to save users' data and battery usage, as well as prevent logged events from being dropped, we keep event logs in client cache and flush periodically. Because of this, some events may not have been sent when your app shuts down.

To make sure all logged events are properly flushed or saved locally, you should tell Statsig to shutdown when your app is closing:

Statsig.shutdown();

Using Persistent Evaluations​

If you want to ensure that a user's variant stays consistent while an experiment is running, regardless of changes to allocation or targeting, you can implement the UserPersistentStorageInterface and set it in StatsigOptions when you initialize the SDK.

Synchronous Persistent Evaluations​

The UserPersistentStorageInterface exposes two methods for synchronous persistent storage, which will be called by default when evaluating an experiment.

interface UserPersistentStorageInterface {
    suspend fun load(key: String): PersistedValues
    fun save(key: String, experimentName: String, data: String)
    fun delete(key: String, experiment: String)
    ...
}

The key string is a combination of ID and ID Type: e.g. "123:userID" or "abc:stableID" which the SDK will construct and call get and set on by default

You can use this interface to persist evaluations synchronously to local storage. If you need an async interface, read on.

Asynchronous Persistent Evaluations​

The UserPersistentStorageInterface exposes two methods for asynchronous persistent evaluations. Because the getExperiment call is synchronous, you must load the value first, and pass it in as userPersistedValues

interface UserPersistentStorageInterface {
    fun loadAsync(key: String, callback: IPersistentStorageCallback)
    fun save(key: String, experimentName: String, data: String)
    fun delete(key: String, experiment: String)
    ...
}
interface IPersistentStorageCallback {
    fun onLoaded(values: PersistedValues)
}

For your convenience, we've created a top level method to load the value for a given user and ID Type:

// Asynchronous load values
val userPersistedValues = Statsig.client.loadUserPersistedValuesAsync(
  user: StatsigUser,
  idType: string, // userID, stableID, customIDxyz, etc
  callback: IPersistentStorageCallback
);

// Synchronous load values 
val userPersistedvalues = Statsig.client.loadUserPersistedValues(
    user: StatsigUser,
  idType: string, // userID, stableID, customIDxyz, etc
)

Putting it all together, assuming you have implemented the UserPersistentStorageInterface and set it on StatsigOptions, your call site will look like this:

// Asynchronous 
val callback = object: IPersistentStorageCallback {
    @override
    fun onLoaded(values: PersistedValues) {
        Statsig.getExperiment(user, "sample_experiment", GetExperimentOptions(userPersistedValues = values))
    }
}
val userValues = Statsig.client.loadUserPersistedValuesAsync(user, "userID", callback)

// Synchronous
val user = StatsigUser(userID = "user123")
val userValues = Statsig.client.loadUserPersistedValues(user, 'userID');
const experiment = statsig.getExperiment({userID: "123"}, 'the_allocated_experiment', { userPersistedValues: userValues });

If you are using java, you can only override loadAsync function and ignore load function as empty.

Local Overrides​

It is possible to override the values returned by the Statsig SDK. This can be useful in unit testing or for enabling features for local development.

To get setup with local overrides, you can use pass an instance of LocalOverrideAdapter to the SDK via the StatsigOptions object.

Note: it is possible to write your own override adapter. You can implement the IOverrideAdapter interface and pass that in instead.

StatsigUser user = new StatsigUser("a-user");

LocalOverrideAdapter overrides = new LocalOverrideAdapter();

// Override a gate
overrides.setGate(user, "local_override_gate", true);

// Override a dynamic config (Similar for Layer and Experiment)
HashMap<String, Object> configValue = new HashMap<String, Object>() {};
DynamicConfig config = new DynamicConfig(
  "local_override_dynamic_config",
  configValue,
  "local_override",
  null,
  new ArrayList<Map<String, String>>(),
  null
);
overrides.setConfig(user, config);

StatsigOptions opts = new StatsigOptions();
opts.setOverrideAdapter(overrides);

StatsigClient client = Statsig.INSTANCE.getClient();
client.initializeAsync(
  app,
  YOUR_SDK_KEY,
  callback,
  opts // <- Pass in StatsigOptions
);

FAQ​

How do I run experiments for logged out users?​

See the guide on device level experiments