Oracle Retail12 min readBy Priyanshu Pandey

Writing Custom Validation Frameworks in PL/SQL

How to build robust validation engines for your RMS staging tables using PL/SQL bulk processing and FORALL loops.

Phase 8 · Integration & Batches

Building high-performance PL/SQL validation engines for your RMS integrations.

12 min read📅Aug 18, 2026✍️Priyanshu Pandey📚Oracle RMS Series
CATCHING THE DIRT

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:

  1. Identify bad records (e.g., missing mandatory fields, invalid foreign keys like a store number that doesn't exist).
  2. Update the staging table with clear, actionable error messages so the support team can fix the source system.
HIGH PERFORMANCE

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.

CODE EXAMPLE

PL/SQL Example

Here is a template for a high-performance validation loop:

PL/SQL Bulk Validation
SQL
PROCEDURE validate_staging_data IS
    CURSOR c_stage IS
        SELECT record_id, store, item
        FROM cust_sales_stage
        WHERE process_status = 'N';

    TYPE t_stage IS TABLE OF c_stage%ROWTYPE;
    v_stage_tab t_stage;
    
    TYPE t_error_tab IS TABLE OF VARCHAR2(4000) INDEX BY PLS_INTEGER;
    v_errors t_error_tab;
    v_status t_error_tab;
    
    c_limit CONSTANT PLS_INTEGER := 10000;
BEGIN
    OPEN c_stage;
    LOOP
        FETCH c_stage BULK COLLECT INTO v_stage_tab LIMIT c_limit;
        EXIT WHEN v_stage_tab.COUNT = 0;
        
        -- Reset memory arrays
        v_errors.DELETE;
        v_status.DELETE;
        
        -- Validate in memory
        FOR i IN 1..v_stage_tab.COUNT LOOP
            v_status(i) := 'P'; -- Default to Processed
            v_errors(i) := NULL;
            
            -- Validation 1: Store exists?
            IF NOT validate_store_exists(v_stage_tab(i).store) THEN
                v_status(i) := 'E';
                v_errors(i) := v_errors(i) || 'Store does not exist. ';
            END IF;
            
            -- Validation 2: Item active?
            IF NOT validate_item_active(v_stage_tab(i).item) THEN
                v_status(i) := 'E';
                v_errors(i) := v_errors(i) || 'Item is not active. ';
            END IF;
        END LOOP;
        
        -- Bulk update the staging table
        FORALL i IN 1..v_stage_tab.COUNT
            UPDATE cust_sales_stage
            SET process_status = v_status(i),
                error_message = v_errors(i)
            WHERE record_id = v_stage_tab(i).record_id;
            
        COMMIT;
    END LOOP;
    CLOSE c_stage;
END;

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.
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