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For example, imagine a stock market data system; you are receiving 30,000 messages per second; you may want to throttle down the updates as, say, a GUI cannot cope with such massive update rates. So you may want to aggregate these messages together so that within a window (defined by a maximum number of messages or a timeout), messages for the same stock are aggregated together; by just choosing the latest message and discarding the older prices. (You could apply a delta processing algorithm if you prefer to capture some of the history).

Using the Fluent Builders

The following example shows how to aggregate messages so that only the latest message for a specific value of the cheese header are sent.

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• The Loan Broker Example which uses an aggregator
• Blog post by Torsten Mielke about using the aggregator correctly.