E2120 Cannot execute flow trigger
The error indicates that Salesforce rejected the upsert operation because of an issue in a Flow or Process Builder automation tied to the Invoice Process Trigger. It suggests that a Flow or Process Builder failed while attempting to execute during the record operation.
E2120 - ECE_SForceUpdateInsert:We got an error back from SalesForce when trying to update or insert data in SalesForce.
Error returned from SFDC on upsert: [message: We can't save this record because the Invoice Process Trigger process failed. Give your Salesforce admin these details. An error occurred when executing a flow interview.Error ID: 1184104690-29073 (-1101463072) , statusCode: CANNOT_EXECUTE_FLOW_TRIGGER ] , Record does not exist in SFDC, Data sent to SFDC: sObjects: [type: InvoiceHeader__c , Unique_Key__c: SI000001 , Name: SI000001 , Sell_to_Customer__c: 0011K00002H41iNQAR , Bill_to_Customer__c: 0011K00002H41iNQAR , Bill_to_Name__c: John Doe.
Solution:
- Go to Salesforce Setup → Flow in Quick Find → Open the Flow Execution Logs:
- Navigate to Setup > Flows > Debug Run History.
- Find the error matching the given Error ID.
- Review the Failed Flow Interview to check what part of the Flow failed and adjust it accordingly.
Another example is the one below where the error message clearly states that a limit has been exceeded—often related to Salesforce governor limits (e.g., too many queries).
E2120 - ECE_SForceDataError: We got an error back from SalesForce when trying to update or insert data in SalesForce: Error returned from SFDC on upsert: [message: We can't save this record because the “Outstanding Amount on Account from Ledger Entries Remaining Amount” process failed. Give your Salesforce admin these details. <b>Limit Exceeded</b><br>You or your organization has exceeded the maximum limit for this feature. Error ID: 1442564370-383648.
Solution (apart from the one above):
- In myrapidi, set up a lower value for Commit Per on the transfer that is failing (e.g. 10 instead of 200). By doing this, it will reduce the number of API calls consumed in one go.