PL/SQLintermediate

Open Interface Tables and Import Programs

Understand the standard interface-table pattern EBS uses for high-volume data conversion and integration

Oracle EBS uses a consistent architectural pattern for bulk data loading called Open Interface Tables. Rather than requiring integrations to call an API row-by-row (which is slow for high volumes), Oracle provides staging tables — like AP_INVOICES_INTERFACE / AP_INVOICE_LINES_INTERFACE for payables, RA_INTERFACE_LINES_ALL for receivables, or MTL_TRANSACTIONS_INTERFACE for inventory — into which external data is bulk-inserted, followed by a standard Import concurrent program (like the Payables Open Interface Import) that validates and converts staged rows into production tables.

Interface tables are like an airport customs pre-clearance area: travelers (data rows) queue up in a staging zone, get checked in batches, and anyone missing paperwork is pulled aside for correction while everyone else proceeds through — rather than the entire planeload being held up by one traveler's problem.

Key Concepts

1
This pattern decouples the (often messy, high-volume) data-loading step from the validation and creation step, and allows partial failures: rows that fail validation stay in the interface table (or move to a _REJECTIONS table) with descriptive error messages, while valid rows proceed to creation. This is essential for large data conversions during implementations, where thousands of legacy invoices or transactions must be loaded without one bad row blocking the entire batch.
_REJECTIONS
2
A well-designed interface load follows a specific sequence: populate interface + interface lines/distributions tables (including a unique GROUP_ID or batch identifier for traceability), run the import program with that batch identifier as a parameter, then query rejection tables or exception reports for errors, correct source data, and resubmit only the failed subset.
GROUP_ID
3
Interviewers commonly ask candidates to walk through this pattern for a specific module (e.g., 'How would you load 5,000 legacy AP invoices?') to test both SQL bulk-loading skill and understanding of Oracle's validation/error-handling conventions.