How does Flume handle out-of-order data?

Flume can handle data out of order in two different ways.

1. Timestamp processing: Flume has the ability to reorder data based on the timestamp of events. By configuring EventInterceptor or EventDeserializer in Flume to identify and handle the timestamp of events, it ensures that events are passed to downstream processors in chronological order.
2. Transaction processing: Flume supports transaction processing to ensure that events are delivered to downstream processors in the correct order. By configuring Flume’s Channel and Sink, events can be properly cached and sorted within the Channel before being sequentially sent to the Sink for processing.

Flume can effectively handle out-of-order data through these two methods, ensuring that data is correctly passed and processed.