audit-field-mapping

Detect field mapping mismatches by cross-checking field names across dialog forms, mapper configurations, and database tables. This audit identifies discrepancies in the data lifecycle, preventing silent save failures and ensuring database consistency.

Silent save failures occur when field names mismatch across the dialog, service mapper, and database table. Auditing this trio for naming discrepancies exposes where data drops out of the lifecycle, allowing you to fix the inconsistencies causing the silent bugs.

The best way to audit database consistency before migration is running a batch scan of all dialog and service pairs. This systematically identifies field naming mismatches across the entire data lifecycle, generating comprehensive reports of discrepancies to fix.

Yes, you can batch audit all dialog and service pairs to find field name discrepancies. The batch audit scans every form, mapper configuration, and database table trio, providing comprehensive reports of mismatches that could cause silent data persistence failures.

Run a field mapping audit when adding or editing dialog forms, analyzing post-bug reports, or before committing database changes. Cross-checking multiple data sources at these stages applies specific audit rules to catch silent save failures early.

No specific dependencies are required to cross-check dialog forms against database tables. The audit applies specific rules directly to your codebase to identify discrepancies across the dialog, mapper, and database trio without external tooling.