![Parallel processing for Splitter -
JSON
{
"locations": {
"record": [
{
"id": 8817,
"loc": "New YORK CITY"
},
{
"id": 2873,
"loc": "United STATES"
},
{
"id": 1501,
"loc": "New YORK STATE"
}
]
}
}](https://image.slidesharecdn.com/parallelprocessingforsplitterinmuleesb-170724172258/85/Parallel-processing-for-splitter-in-mule-esb-5-320.jpg)
![Parallel processing for Splitter -
JSON
{
"locations": {
"record": [
{
"id": 8817,
"loc": "New YORK CITY"
},
{
"id": 2873,
"loc": "United STATES"
},
{
"id": 1501,
"loc": "New YORK STATE"
}
]
}
}](https://image.slidesharecdn.com/parallelprocessingforsplitterinmuleesb-170724172258/85/Parallel-processing-for-splitter-in-mule-esb-6-320.jpg)
Parallel processing for splitter in mule esb
- 1. Parallel processing for Splitter The Splitter Flow Control splits a message into separate fragments, then sends these fragments one at a time to the next message processor in the flow. We can process parallel. The solution was achieved by encapsulating the Collection-Splitter and Collection- Aggregator within VM Outbound Endpoints, such that each item within the collection is assigned to a separate VM thread which then aggregates the resultant payload of each thread. Both VMs were wrapped with the Request-Reply component, as shown below, such that the Request-Reply component waits for all asynchronous processes to complete and receives the asynchronous response from the asynchronous flow
- 2. Parallel processing for Splitter - Flow
- 3. Parallel processing for Splitter – XML
- 4. Parallel processing for Splitter input: A list of objects output: A list of processed objects Mule constructs: •collection-splitter router: To split the list of input objects •vm transport: To queue the objects for parallel processing •async router: To process a object asynchronously and in a mult- threaded model •collection-aggregator router: To aggregate the split and processed objects back to a list for output
- 5. Parallel processing for Splitter - JSON { "locations": { "record": [ { "id": 8817, "loc": "New YORK CITY" }, { "id": 2873, "loc": "United STATES" }, { "id": 1501, "loc": "New YORK STATE" } ] } }
- 6. Parallel processing for Splitter - JSON { "locations": { "record": [ { "id": 8817, "loc": "New YORK CITY" }, { "id": 2873, "loc": "United STATES" }, { "id": 1501, "loc": "New YORK STATE" } ] } }