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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Error handling for unique ID mismatches in custom Aura components requires extensive try-catch logic, user feedback mechanisms, and complex validation workflows for failed records.
Here’s how to implement comprehensive error management and resolution workflows without custom exception handling code.
Implement comprehensive error management using Coefficient
Coefficient provides built-in error handling and resolution workflows for unique ID mismatches. Use pre-export validation and granular error reporting to identify and resolve issues before they impact your Salesforce data.
How to make it work
Step 1. Use preview mode for pre-validation.
Run preview mode before executing any data export to identify potential unique_Id__c issues. The preview shows exactly which records will be inserted versus updated based on existing unique ID matches in Salesforce.
Step 2. Configure conditional export logic.
Set up conditional exports to only process records meeting specific criteria. Use spreadsheet formulas to create validation columns that flag records with missing or invalid unique_Id__c values before export.
Step 3. Enable detailed error tracking.
Coefficient automatically adds status columns to track export results for each record. These columns show exactly which records failed, succeeded, or encountered validation errors during processing.
Step 4. Handle specific error scenarios.
Configure handling for common issues: missing unique_Id__c values (set default behavior), format mismatches (data type validation), permission issues (clear error messages), and duplicate External IDs (automatic deduplication within batches).
Step 5. Set up retry workflows.
After reviewing error details, correct data issues directly in your Google Sheet and re-export only the failed records. Use filtering to process only records with error status, eliminating the need to reprocess successful records.
Step 6. Monitor with comprehensive logging.
Review detailed audit trails of all operations and outcomes. The system maintains complete logs with timestamps, user tracking, and specific error descriptions for troubleshooting and compliance.
Eliminate custom error handling complexity
This approach provides user-friendly error messages, automated retry workflows, and comprehensive logging without requiring custom try-catch structures or complex validation logic. Implement robust error handling today.
