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Former Member
Condition-based Collect Message Pattern with Intermediate Message Event in SAP BPM

Introduction: Message collect pattern provides a way to aggregate messages based on functional requirements or system performance. There exists different ways to achieve the aggregation pattern using the intermediate message event. Collection pattern could make use of time duration for message aggregation or time duration in combination with conditions. However, the business requirements could pose an integration challenge that requires thorough knowledge of SAP BPM implementation when using intermediate message even. This article shares some insight on how best to make use of intermediate message event with dynamic conditions in combination with a mapping object.

Note: Since it is only possible to define conditions on Intermediate Message Event by comparing two fields based on “equality (=)” the “non-equal part to collect messages that have not been duplicated was achieved by introducing the extra mapping steps to append new non-duplicated messages

Challenge: Business requirement is such that message duplication and clustering of messages towards C4C application needs to be achieved. The situation is such that; for every process instance started, there is an intermediate timer event (ITE) of 5mins which keeps the process instance running for this duration. During the 5mins duration, collect pattern with an intermediate message event (IME) has to be implemented to collect messages belonging to the same functional location. This will also check that messages collected are not also duplicated, in case duplicated messages are coming from the same functional within the 5mins duration.

Set-up and Configuration:

  1. Create a BPM process development component in NWDS with below example (detailed steps on this will not be provided, other blogs have addressed this already)




2. Configure Intermediate Message Event: Configure the intermediate message event with a condition, this condition is defined dynamically, by comparing the incoming value in a specific field and a locally stored field in the Data Object (DO) while the process instance is running. All messages that match the stored “Functional location value” are collected and appended to the Data Object which is a list of value. If the condition on the IME is not fulfilled, the process server starts a new process instance.



Condition: string-equal(incomingString,locallyStoredStringInDO)

3. Create a mapping: This mapping step helps to introduce an additional condition to prevent adding duplicated messages to the already collected messages while the process instance is still running for the 5 minutes time duration.



The condition is specified as below using the “non-equality” logic in combination with “If-then-else” statement.

This condition loops through the collected messages while the process instance is running and checks if every new message that arrives has not been collected already before adding new message to the collection.



Condition to loop through collected messages to prevent collecting duplicated messages



Mapping with append functionality to add additional messages

Note: The target field structure eg “Prioriteit” that will collect the message must be of cardinality: “0: unbounded” or “1: unbounded”

 

Conclusion: In this blog, I have highlighted now to achieve message aggregation pattern using multiple dynamic conditions. This was achieved by introducing the use of Intermediate Message Event (IME) in combination with a mapping to prevent de-duplication of aggregated messages.

If you have questions do reach out to me!

 

Written by: Abidemi Olatunbosun

Contributions: Kas Timsi and Ronan Mol
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