Splitting a communication, and processing and gathering responses buck Essay

This recipe will teach you how you how you can split a message into individual fragments, process each come apart individually, and re-aggregate the processed exchanges back into just one exchange. In EIP conditions, this is generally known as a Composed Communication Processor, and is also made up of a mix of a Splitter and a great Aggregator.

Tips on how to do it...

To be able to split and aggregate (join) a message, combine a split DSL declaration with a great associated congy as employs:

1 . Define an AggregationStrategy instance because described in the Aggregating related messages recipe. For this example, we will reuse theSetAggregationStrategy implementation from that recipe:

2 . Define a regular split block as per the Splitting a note into fragments recipe, breaking up the payload as you see fit through the use of an expression. Guide the AggregationStrategy instance through the strategyRef attribute in the split element:

money body

In the Java DSL, refer to the AggregationStrategy instance as the second parameter to the split() statement: from(" direct: in" )

. split(body(), new SetAggregationStrategy())

. inOut(" direct: someBackEnd" )

. end()

. to(" mock: out" );

Just how it works...

When an exchange actually reaches the split statement, it is broken up in individual fragments as expected, each of which is definitely processed throughout the steps described within the obstruct. When each split fragment's exchange actually reaches the end of the split block, it truly is passed in to theAggregationStrategy for aggregation. When all the fragments have been completely processed, the last aggregated communication proceeds down the route coming from the split block. This is different from the standard Splitter tendencies, which ahead the original message to that statement after the split statement. Tip

By default, all finalizing is performed by a single thread. You can parallelize the finalizing of each communication fragment through the use of theparallelProcessing option while described in the Processing divided messages in parallel recipe. There's more......



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