on 2024 Aug 08 10:10 AM
Dear Experts,
I need to discuss a specific scenario involving process direct iFlows in CPI.
In our customer landscape, we have a common iFlow utilized by multiple iFlows for logic processing. iFlow A, iFlow B, and iFlow C are all scheduled to start at 8 am Zulu time every day. These iFlows use a common iFlow, iFlow D, and at almost the same time, iFlow D runs three times to provide data to the main iFlows.
Given this setup, I have concerns about the accuracy of the data processing, as the common iFlow is triggered by multiple iFlows simultaneously.
note that we utilize date calculations in the common iFlow, and we have observed incorrect date calculations for one of the iFlows on certain days. Therefore, we need to understand this issue in-depth.
Your insights and advice on this matter would be greatly appreciated.
Thank you,
Anuja Shukla
Hi
The issue you're encountering likely stems from concurrent executions of the common iFlow (iFlow D) by multiple iFlows (iFlow A, B, C) at the same time, which can lead to race conditions and incorrect data processing due to shared state or resources.
To address this:
Implement Synchronization: Ensure that the common iFlow (iFlow D) handles concurrent requests properly. Consider using a mechanism to synchronize access or ensure that concurrent executions do not interfere with each other.
Isolate State: Make sure that any state or data specific to an execution is isolated. Use unique identifiers or context-specific data to prevent conflicts.
Logging and Monitoring: Add detailed logging to track the execution flow and diagnose issues. Monitor the execution to identify patterns or specific times when issues occur.
Testing: Perform rigorous testing with concurrent executions to observe how the common iFlow behaves and identify potential issues.
By addressing these points, you can improve the accuracy and reliability of data processing in your scenario.
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