Event batching for the React SDK

The React SDK lets you batch events and includes options to set a maximum batch size and flush interval timeout. The benefit of event batching is less network traffic for the same number of impression and conversion events tracked.

By default, event batching is enabled in React SDK.

📘

Note

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 are not sending any unnecessary PII to Optimizely Feature Experimentation.

Configure event batching

Optimizely provides two options to configure event batching: eventBatchSize and eventFlushInterval. You can pass in both options during client creation. Events are held in a queue until either:

• The number of events reaches the defined eventBatchSize.
• The oldest event has been in the queue for longer than the defined eventFlushInterval, which is specified in milliseconds. The queue is then flushed and all queued events are sent to Optimizely Feature Experimentation in a single network request.
• A new datafile revision is received. This occurs only when live datafile updates are enabled.

import { createInstance } from '@optimizely/react-sdk';

const optimizely = createInstance({
  datafile: window.datafile // assuming you have a datafile at window.datafile
  // other options
  eventBatchSize: 100,
  eventFlushInterval: 3000,
});

const optimizelySdk = require('@optimizely/optimizely-sdk')

optimizelySdk.createInstance({
  // other options
  eventBatchSize: 100,
  eventFlushInterval: 3000,
})

The table below defines these options and lists general recommendations for browser and server default settings. On the browser we recommend using a small eventBatchSize (10) and a short eventFlushInterval (1000). This ensures that events are sent in a relatively fast manner, since some events could be lost if a user immediately bounces, while gaining network efficiency in cases where many events are generated back-to-back.

For the server, these numbers are more flexible and should be set based on your organization's traffic and needs. Contact support for recommendations for your specific implementation.

❗️

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 Feature Experimentation 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.

Close Optimizely Feature Experimentation on application exit

If you enable event batching, you must call the Close method (optimizely.close()) before exiting. This ensures that queued events are flushed as soon as possible to avoid data loss.

❗

Warning

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

On the browser side, optimizely.close() is automatically connected to the pagehide event, so there is no need to do any manual instrumentation.