The Optimizely Full Stack Android SDK now batches impression and conversion events into a single payload before sending it to Optimizely. This is achieved through a new SDK component called the event processor.

Event batching has the advantage of reducing the number of outbound requests to Optimizely depending on how you define, configure, and use the event processor. It means less network traffic for the same number of Impression and conversion events tracked.

In the Android SDK, BatchEventProcessor provides implementation of the EventProcessor interface and batches events. You can control batching based on two parameters:

• Batch size – Defines the number of events that are batched together before sending to Optimizely.
• Flush interval – Defines the amount of time after which any batched events should be sent to passed to the Event Dispatcher to be sent to Optimizely.

An event consisting of the batched payload is sent as soon as the batch size reaches the specified limit or flush interval reaches the specified time limit. BatchEventProcessor options are described in more detail below.

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Note

The default Event Dispatcher in our Android SDK uses an Android Intent Service to dispatch batched requests. As a result, you may observe additional delays to outbound requests beyond your specified flush interval as a result of system limits on those requests.

Optimizely's Event batching works with both out-of-the-box and custom event dispatchers.

The event batching process does not remove any personally identifiable information (PII) from events. You must still ensure that you aren't sending any unnecessary PII to Optimizely.

Basic example

import com.optimizely.ab.android.sdk.OptimizelyManager;
import android.support.v7.app.AppCompatActivity;

public class MainActivity extends AppCompatActivity {

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        String sdkKey = "{SDK_KEY}";
      
      	OptimizelyManager optimizelyManager = OptimizelyManager.builder()
          .withSDKKey(sdkKey)
          .build(getApplicationContext());
        Optimizely optimizely = optimizelyManager.initialize(MainActivity.this, R.raw.datafile);
    }
}

By default, batch size is 10 and flush interval is 30 seconds.

Advanced example

import com.optimizely.ab.android.sdk.OptimizelyManager;
import com.optimizely.ab.android.sdk.OptimizelyClient;
import com.optimizely.ab.event.BatchEventProcessor;
import java.util.concurrent.TimeUnit;

public class MainActivity extends AppCompatActivity {

    @Override
    protected void onCreate(Bundle savedInstanceState) {
      String sdkKey = "{SDK_KEY}";
      EventHandler eventHandler = DefaultEventHandler.getInstance(context);

      // Here we are using the builder options to set batch size
      // to 5 events and flush interval to a minute.
      BatchEventProcessor batchProcessor = BatchEventProcessor.builder()
        .withBatchSize(5)
        .withEventHandler(eventHandler)
        .withFlushInterval(1, TimeUnit.MINUTES)
        .build();
      	
      OptimizelyManager optimizelyManager = OptimizelyManager.builder()
        .withSDKKey(sdkKey)
        .withEventHandler(eventHandler)
        .withDatafileDownloadInterval(15L, TimeUnit.MINUTES)
        .withEventProcessor(batchProcessor)
        .build(getApplicationContext());
      
      OptimizelyClient optimizely = optimizelyManager.initialize(getApplicationContext(), R.raw.datafile);
    }
}

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Warning

The maximum payload size is 3.5 MB. Optimizely rejects requests with a 400 response code, Bad Request Error, if the batch payload exceeds this limit.

The size limitation is because of the Optimizely Events API, which Full Stack uses to send data to Optimizely.

The most common cause of a large payload size is a high batch size. If your payloads exceed the size limit, try configuring a smaller batch size.

BatchEventProcessor

BatchEventProcessor is an implementation of EventProcessor where events are batched. The class maintains a single consumer thread that pulls events off of the BlockingCollection and buffers them for either a configured batch size or a maximum duration before the resulting LogEvent is sent to the EventDispatcher and NotificationCenter.

The following properties can be used to customize the BatchEventProcessor configuration using the Builder class.

Builder methods

Use the following methods to customize the BatchEventProcessor.

Advanced configuration

You can set the following properties can be set to override the default configuration for BatchEventProcessor.

For more information, see Initialize Android SDK.

Side effects

The table lists other Optimizely functionality that may be triggered by using this class.

Register a LogEvent listener

To register a LogEvent notification listener

optimizelyClient.getNotificationCenter().addNotificationHandler(LogEvent.class, logEvent -> {});

LogEvent

LogEvent object gets created using EventFactory. It represents the batch of impression and conversion events we send to the Optimizely backend.

Close Optimizely on application exit

If you enable event batching, it is important that you call the Close method (optimizelyClient.close()) prior to exiting. This ensures that queued events are flushed as soon as possible to avoid any data loss.

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Warning

Because the Optimizely client maintains a buffer of queued events, you must call close() on the Optimizely instance before shutting down your application or whenever dereferencing the instance.