chore: Preparing for 3.3.0 release #215
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mikeproeng37
approved these changes
Oct 22, 2019
| * Events generated by methods like `activate`, `track`, and `is_feature_enabled` will be held in a queue until the configured batch size is reached, or the configured flush interval has elapsed. Then, they will be batched into a single payload and sent to the event dispatcher. | ||
| * To configure event batching, set the `batch_size` and `flush_interval` properties when initializing instance of [BatchEventProcessor](https://github.com/optimizely/python-sdk/blob/3.3.x/optimizely/event/event_processor.py#L45). | ||
| * Event batching is disabled by default. You can pass in instance of `BatchEventProcessor` when creating `Optimizely` instance to enable event batching. | ||
| * Users can subscribe to `LogEvent` notification to be notified of whenever a payload consisting of a batch of user events is handed off to the event dispatcher to send to Optimizely's backend. |
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Are there dev docs we can link to here?
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They are in staging. May be useful to reference them in README later on.
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