Building high-performance PL/SQL validation engines for your RMS integrations.
The Goal of the Validator
Following our previous post on Staging Tables, we now need a mechanism to validate the raw data sitting in our custom table before we pass it to the Oracle RMS APIs.
The validator's job is twofold:
- Identify bad records (e.g., missing mandatory fields, invalid foreign keys like a store number that doesn't exist).
- Update the staging table with clear, actionable error messages so the support team can fix the source system.
High-Performance Validation
Because retail integrations often process millions of records (think of a daily price change file), looping through a cursor row-by-row (Row-By-Agonizing-Row or RBAR) will kill your batch window.
You must use BULK COLLECT and FORALL array processing.
Instead of reading one row, validating it, and updating the table, you load 10,000 rows into memory, validate them in memory arrays, and use a single FORALL statement to update the statuses back to the database.
PL/SQL Example
Here is a template for a high-performance validation loop:
Key Takeaways
- Never use standard FOR loops to validate large staging tables; it is too slow.
- Use BULK COLLECT to read records in chunks (e.g., 10,000 at a time).
- Perform complex validations in memory arrays.
- Use FORALL to flush the status updates back to the database in a single context switch.


